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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220615T120000
DTEND;TZID=Europe/Oslo:20220615T130000
DTSTAMP:20260406T151155
CREATED:20220610T112016Z
LAST-MODIFIED:20220610T134101Z
UID:12233-1655294400-1655298000@mediafutures.no
SUMMARY:MediaFutures Seminar: Augment the Vision: To Help Users Deal with Different Domain Tasks. PhD Candidate\, Chalmers University of Technology\, Sweden.
DESCRIPTION:Yuchong Zhang\, PhD candidate at the Chalmers University of Technology in Sweden\, will give a seminar on 15 June\, at 12:00. \nTITLE: Augment the Vision: To Help Users Deal with Different Domain TasksWHEN: Wednesday 15 June\, 12:00-13:00WHERE: MediaFutures \n  \n\n \nABSTRACT: \nOne of the cutting-edge techniques—augmented reality (AR) (a variation of virtual reality (VR))\, in which virtual objects are superimposed in the real world–has been demonstrated and applied in numerous fields due to its capability of providing interactive interfaces of visualized digital content. Moreover\, AR can provide functional tools that support users undertaking domain-related tasks\, especially facilitating them in data visualization and interaction because of its ability to jointly augment the physical space and the user’s perception. How to fully use the advantages of AR technique\, especially the items which augment human vision to help users with different domain tasks’ perform is the central part of my PhD research. \nBIO: \nYuchong Zhang is currently a Ph.D. candidate at the Chalmers University of Technology\, Sweden. His research interests include augmented reality\, interactive visualization and human-centred design. He received his MSc. degree from Nanyang Technological University\, Singapore in 2017.
URL:https://mediafutures.no/event/mediafutures-seminar-augment-the-vision-to-help-users-deal-with-different-domain-tasks-phd-candidate-chalmers-university-of-technology-sweden/
CATEGORIES:Events,Seminar,WP4 Media Content Interaction & Accessibility
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220615T100000
DTEND;TZID=Europe/Oslo:20220615T130000
DTSTAMP:20260406T151155
CREATED:20220610T115242Z
LAST-MODIFIED:20220610T134203Z
UID:12241-1655287200-1655298000@mediafutures.no
SUMMARY:MediaFutures WP1 DIGSSCORE-Workshop
DESCRIPTION:  \nWP1 DIGSSCORE-Workshop \nOpen for all MediaFutures Partners. The first part will be in English\, and the second part will be in Norwegian/Scandinavian. \nWHERE: Zoom – https://uib.zoom.us/j/65597060274?pwd=Q0huZm9EY2s4VGJCSWdMdVRwTGRkZz09  \n \nPart 1 (10:00 – 11:00) Introduction to DIGSSCORE \n10:00-10:05: Welcome \n10:05-10:45: Introduction to DIGSSCORE by Erik Knudsen: What is it and what can MediaFutures partners use it for? (20 minutes presentation and 20 minutes for questions) \n10:45-11:00 Coffee break \nPart 2 (11:00-13:00) WP1 workshop in Scandinavian (with WP1 partners) \n11:00-11:15: Introduction to Schibsted’s research interests on hard-to-reach audiences and constructive journalism (10 minutes presentation and 5 minutes for questions) \n11:15-11:30: Introduction to NRK’s research interests on constructive journalism (10 minutes presentation and 5 minutes for questions). \n11:30-11:45: Discussing and finding overlapping interests for research \n11:45-12:00 Coffee break \n12:00-12:15: Opportunities for researching constructive journalism and hard-to-reach audiences using DIGSSCORE. \n12:15-12:45: Designing the study \n12:45-13:00: Summing up and the road ahead
URL:https://mediafutures.no/event/mediafutures-wp1-digsscore-workshop/
CATEGORIES:Events,Seminar,WP1 Understanding Media Experiences
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220609T093000
DTEND;TZID=Europe/Oslo:20220609T120000
DTSTAMP:20260406T151155
CREATED:20220513T101817Z
LAST-MODIFIED:20220610T134305Z
UID:12108-1654767000-1654776000@mediafutures.no
SUMMARY:Future Week. MediaFutures Workshop: Towards Responsible Media Technology & Innovation
DESCRIPTION:As part of the Media City Bergen Future Week\, MediaFutures will hold workshop on June 9.  \nTITLE: Towards Responsible Media Technology & Innovation \nWHEN: Thursday 9 June\, 09:30-12:00WHERE: Media City Bergen \nREGISTRATION: https://mediacitybergen.no/future-week-22/ \nIn this workshop\, you will learn from MediaFutures’ young researchers in five work packages how new media technologies for media user engagement\, media content production\, media content interaction and accessibility\, and audience understanding are developed and advanced to the next level. No matter if you are a journalist\, a media practitioner\, a developer\, a researcher\, or a curious individual\, you will open a new horizon before you on responsible media technology and innovation.\n\nThe topics we’ll touch upon during the workshop are:\n– Understanding media experience– User Modeling\, Personalization & – Engagement– Media Content Analysis and – Production– Media Content Interaction & Accessibility– Norwegian Language Technologies\n\n\n\n\n\n\nProgram:\n1. Christoph Trattner (Center Director): Opening and welcome speech\n2. Mehdi Elahi (Associate Prof./WP Leader\, WP2): “Research on Responsible Recommendation”\n3. Jonathan Geffen (PhD Candidate\, WP4): “Playing the News – Newsgames 101”\n4. Ana Milojevic (Postdoc Fellow\, WP1): “Connecting Media and Users – Analytics and Metrics ”\n5. Coffee Break\n6. Sohail Ahmed Khan (PhD Candidate\, WP3): “Visual Content Verification in Era of Deepfakes”\n7. Huiling You (PhD Candidate\, WP5): “Event Extraction from News Articles”\n8. Round table discussion\n9. Wrap-up\n 
URL:https://mediafutures.no/event/future-week-mediafutures-workshop-towards-responsible-media-technology-innovation/
CATEGORIES:Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220520T150000
DTEND;TZID=Europe/Oslo:20220520T160000
DTSTAMP:20260406T151155
CREATED:20220506T120804Z
LAST-MODIFIED:20220610T134409Z
UID:12064-1653058800-1653062400@mediafutures.no
SUMMARY:Wolftech & MediaFutures Joint Seminar: Human Interaction and Collaboration with Machine Learning Models. Hendrik Strobelt\, IBM Research / MIT-IBM Watson AI Lab
DESCRIPTION:Hendrik Strobelt\, the Explainability Lead at the MIT-IBM Watson AI lab\, will give a seminar on 20 May\, at 15:00. \nTITLE: Human Interaction and Collaboration with Machine Learning models \nWHEN: Friday 20 May\, 15:00-16:00WHERE: Zoom: \nhttps://us06web.zoom.us/meeting/register/tZErdeiurz0tGtGEcOjhfEQBEwTKqcblgjju  \nMeeting ID: \n\nPassword: \n \nABSTRACT: \nWith the increasing adoption of machine learning models across domains\, we have to think about the human role when interacting with these models. In the last years\, my collaborators and I have created a series of tools that utilize visualization and visual user interaction to help investigate behavior of machine learning models (for NLP and CV) and that might help creating algorithms to detect fake text. I will present a selection of these scientific tools that makes humans play and then understand. \nBIO: \nHendrik Strobelt is the Explainability Lead at the MIT-IBM Watson AI Lab\, Research Scientist at IBM Research\, and currently professor at University of Konstanz. His recent research is on visualization for and human collaboration with AI models to foster explainability and intuition. His work involves NLP models and generative models while he is advocating to utilize a mix of data modalities to solve real-world problems. His research is applied to tasks in machine learning\, in NLP\, in the biomedical domain\, and in chemistry. Hendrik joined IBM in 2017 after postdoctoral positions at Harvard SEAS and NYU Tandon. He received a Ph.D. (Dr. rer. nat.) from the University of Konstanz in computer science (Visualization) and holds an MSc (Diplom) in computer science from TU Dresden. His work has been published at venues like IEEE VIS\, ICLR\, ACM Siggraph\, ACL\, NeurIPS\, ICCV\, PNAS\, Nature BME\, or Science Advances. He received multiple best paper/honorable mention awards at EuroVis\, BioVis\, VAST\, ACL Demo\, or NeurIPS demo. He received the Lohrmann medal from TU Dresden as the highest student honor. Hendrik has served in program committees and organization committees for IEEE VIS\, BioVis\, EuroVis. He served on organization committees for IEEE VIS\, VISxAI\, ICLR\, ICML\, NeurIPS. Hendrik is visiting researcher at MIT CSAIL. (more: https://hendrik.strobelt.com)
URL:https://mediafutures.no/event/wolftech-mediafutures-joint-seminar-human-interaction-and-collaboration-with-machine-learning-models-hendrik-strobelt-ibm-research-mit-ibm-watson-ai-lab/
CATEGORIES:Events,Seminar
ATTACH;FMTTYPE=image/png:https://mediafutures.no/wp-content/uploads/Wrorkshop.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220513T120000
DTEND;TZID=Europe/Oslo:20220513T130000
DTSTAMP:20260406T151155
CREATED:20220425T114853Z
LAST-MODIFIED:20220610T134520Z
UID:11893-1652443200-1652446800@mediafutures.no
SUMMARY:MediaFutures Seminar: Media entertainment experiences among youth on global platforms. Marika Lüders\, Professor at the University of Oslo
DESCRIPTION:Marika Lüders\, Professor at the University of Oslo\, will give a seminar on 13 May\, at 12:00. \nTITLE: Media entertainment experiences among youth on global platformsWHEN: Friday 13 May\, 12:00-13:00WHERE: Zoom – \nhttps://uib.zoom.us/j/68002953641?pwd=WGU1ZGFKUTNMZlZ0a29GaVlrWFJuUT09 \nMeeting ID: 680 0295 3641\n\nPassword: PEw18sgA\n \nABSTRACT: \nThe media and platforms taken for granted by those born since the turn of the millennium are often interpreted as causing unprecedented competition for national and legacy players in the field of media entertainment. Accordingly\, notions such as “lost generation” signal how legacy media perceive re-engagement with youth audiences as core to their future existence. In this talk I will first address how the notion of youth as a lost generation serves a strategic function in the media entertainment sector by legitimating actions. I will next report from how we study teens’ media entertainment experiences in the research project “Global Natives? Serving young audiences on global platforms”. By enquiring the media entertainment experiences of youth as constituted by content produced by legacy media and what is often termed “social media entertainment”\, we hope to advance knowledge on youth as a media generation. \nBIO: \nMarika Lüders is a Professor at the Department of Media and Communication\, University of Oslo. She has almost 20 years of experience in researching user/audience experiences\, social media\, global platforms\, and the intersections of the material and experiential levels of digital technologies. Lüders is currently the project leader of the research project “Global Natives? Serving young audiences on global platforms” (2021-2025). 
URL:https://mediafutures.no/event/mediafutures-seminar-media-entertainment-experiences-among-youth-on-global-platforms-marika-luders-professor-at-the-university-of-oslo/
CATEGORIES:Events,Seminar,WP1 Understanding Media Experiences
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/ml1200-1600-300ppi_photoby_ellen_evju_jahr.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220504T141500
DTEND;TZID=Europe/Oslo:20220504T150000
DTSTAMP:20260406T151156
CREATED:20220425T120800Z
LAST-MODIFIED:20220705T065715Z
UID:11901-1651673700-1651676400@mediafutures.no
SUMMARY:Human-Computer Interaction lecture series: UX Research Design in Practice: Some Examples from Safety Critical Industrial Environments. Dr Duy Le\, senior research scientist at VNUHCM University of Science\, Vietnam
DESCRIPTION:Dr. Duy Le\, a senior research scientist and head of the Human-Computer Interaction division of SELab\, VNUHCM University of Science\, Vietnam\, will give a seminar on May 4\, at 14:15. \nTITLE: UX Research Design in Practice: Some Examples from Safety Critical Industrial Environments \nWHEN: Wednesday 4 May\, 14:15-15:00WHERE: MediaFutures and Zoom: \nhttps://uib.zoom.us/j/69626023560?pwd=cVdKWjR1VithNUo4a1g0NTQ1OGpFdz09\n\nMeeting ID: 696 2602 3560\nPassword: icrxk07s\n \nABSTRACT: \nA typical user experience (UX) research and design process is a sequence of user empathization\, problem definition\, solution ideation\, designing\, and evaluation. However\, how this sequence is executed in practice can have several variants\, heavily depending on the resources and the constraints of the environment where the UX work is performed. In this talk\, we will explore some exemplary UX research and design projects targeting manufacturing plants\, which are examples of safety critical industrial environments. The talk will highlight some particular contextual constraints in this kind of environment and then present how UX practitioners flexibly applied the typical design process to comply with the constraints while still adequately ensuring the quality of a user-centered design work. Besides that\, the talk will also demonstrate how different types of creative media such as storyboard\, paper-sketched user interfaces\, animated mockups\, and games can be flexibly used in industrial UX research and design projects. \nBIO: \nDr. Duy Le is currently a senior research scientist and head of the human-computer interaction division of SELab\, VNUHCM University of Science\, Vietnam. He is an HCI researcher with rich working experiences both in academia and industry. He obtained a PhD degree in human-computer interaction from Chalmers University of Technology\, Sweden. Prior to joining VNUHCM University of Science\, he had two years working as a research scientist in the UX research group of ABB Research Sweden where he performed several UX research projects spanning across human-robot interaction\, augmented reality (AR)\, virtual reality (VR)\, and human-automation interaction. In his current position\, Duy is leading research on intelligent interactive systems\, which aim to combine user-centered design\, artificial intelligence and cutting edge interactive technologies such as interactive surfaces\, AR\, VR\, and embodied interfaces to improve user efficacy and provide novel experiences.
URL:https://mediafutures.no/event/mediafutures-seminar-ux-research-design-in-practicesome-examples-from-safety-critical-industrial-environments-dr-duy-le-senior-research-scientist-and-head-of-the-human-computer-interaction-divisio/
CATEGORIES:Events,Seminar,WP4 Media Content Interaction & Accessibility
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220504T111500
DTEND;TZID=Europe/Oslo:20220504T120000
DTSTAMP:20260406T151156
CREATED:20220429T134009Z
LAST-MODIFIED:20220610T134834Z
UID:11919-1651662900-1651665600@mediafutures.no
SUMMARY:Human-Computer Interaction lecture series: Visual Attention in Face-to-Face and Computer-Mediated Interactions. Katarzyna Wisiecka\, PhD Candidate in Psychology and Informatics at SWPS University & Polish-Japanese Academy of Information Technology.
DESCRIPTION:Katrzyna Wisiecka\, PhD candidate in psychology and informatics at SWPS University & Polish-Japanese Academy of Information Technology\, will give a seminar on May 4th\, at 11:15. \nTITLE: Visual Attention in Face-to-Face and Computer-Mediated Interactions \nWHEN: Wednesday 4 May\, 11:15-12:00WHERE: MediaFutures and Zoom:  \nhttps://uib.zoom.us/j/61410167655?pwd=WFJXbGdMVXVuYk5sTDJ2bllPZ3Yydz09\n\n\nMeeting ID: 614 1016 7655\nPassword: 9VA5L6D1\n  \nABSTRACT: \nComputer-mediated interaction has become an integral part of our daily routines. Despite decreased non-verbal communication and face-to-face contact with partners of collaboration\, people learned how to remotely work together. The consequences of decreased non-verbal signals such as gaze communication on collaboration quality in remote settings are however not fully investigated. The present PhD project intends to examine in four eye tracking experiments the role of visual attention during face-to-face and computer-mediated interaction. The project has three interrelated aims: (1) examining the relationship between interaction quality and gaze patterns in remote and face-to-face collaboration; (2) facilitating workspace awareness among collaborators by visualization of the partner’s gaze direction; (3) investigate whether gaze communication enhances physiological synchronization measured by heart rate variability (HRV) in computer-mediated collaboration. Current results suggest that remote collaboration is challenging for participants and its quality benefits from gaze visualizations during task solving. Enhancing gaze communication during remote collaboration has the potential to increase physiological synchronization between collaborators. Broadening the knowledge about physiological correlates of computer-mediated collaboration is a step to develop gaze-based solutions tailored to remote interactions. \nBIO: \nKatarzyna Wisiecka\, M.A. in clinical psychology\, current PhD candidate in psychology and informatics at SWPS University & Polish-Japanese Academy of Information Technology. She is a member of the Eye Tracking Research Center at SWPS University. Her main research interests include social synchronization and gaze communication in computer environments. She is a scholarship holder in grants funded by the National Science Center and National Centre for Research and Development in Poland. She also takes part in numerous international projects including media accessibility and human-computer interaction such as LEAD-ME funded by the Horizon 2020 Framework Programme of the EU.
URL:https://mediafutures.no/event/human-computer-interaction-lecture-series-visual-attention-in-face-to-face-and-computer-mediated-interactions-phd-candidate-ph-d-candidate-in-psychology-and-informatics-at-swps-university-polish-j/
CATEGORIES:Events,Seminar,WP4 Media Content Interaction & Accessibility
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220421T130000
DTEND;TZID=Europe/Oslo:20220421T140000
DTSTAMP:20260406T151156
CREATED:20220331T190334Z
LAST-MODIFIED:20220424T153715Z
UID:11745-1650546000-1650549600@mediafutures.no
SUMMARY:MediaFutures Seminar: Fairness—Are algorithms a burden or a solution? Dr. Christine Bauer\, Assistant Professor at Utrecht University
DESCRIPTION:Dr. Christine Bauer\, Assistant Professor at Utrecht University\, will give a seminar on 21 April\, at 13:00. \nTITLE:  Fairness—Are algorithms a burden or a solution?WHEN: Thursday 21 April\, 13:00-14:00WHERE: Zoom – \nhttps://uib.zoom.us/j/66369080035?pwd=MDFzdmV6TUdCVVZlZnhsNWc1eHlMUT09  \nMeeting ID: 663 6908 0035\n\nPassword: F9fN181n\n \nABSTRACT: \nRecommender systems play an important role in everyday life. These systems assist users in choosing products to buy\, movies to watch\, or news articles to read. With their wide usage\, there is an increasing pressure that such systems are fair. Besides serving diverse groups of users\, recommenders need to represent and serve item providers in a fair manner\, too. But what is fair? In this talk\, I will present research on fairness in music recommender systems taking the artists’ perspective. What do artists consider fair? Are algorithms a burden or a solution? In particular\, I will zoom in on recent research on gender bias in music recommenders and how we can address this issue. \nBIO: \nDr. Christine Bauer is an Assistant Professor at Utrecht University\, The Netherlands. She is an experienced teacher in a wide spectrum of topics in computing and information systems—ranging from algorithms to adaptive interactive systems to research methods. Her research activities center on interactive intelligent systems. Thereby\, she takes a human-centered computing approach\, where technology follows humans’ and society’s needs. Central themes in her research are context and context-adaptivity.  In the recent years\, she worked on context-aware recommender systems. Core interest in her current research activities are fairness and multi-method evaluations. Further information can be found at https://christinebauer.eu.
URL:https://mediafutures.no/event/mediafutures-seminar-fairness-are-algorithms-a-burden-or-a-solution-dr-christine-bauer-assistant-professor-at-utrecht-university/
CATEGORIES:Events,Seminar,WP2 User Modeling, Personalisation & Engagement
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220408T100000
DTEND;TZID=Europe/Oslo:20220408T120000
DTSTAMP:20260406T151156
CREATED:20220321T115124Z
LAST-MODIFIED:20220321T193423Z
UID:11699-1649412000-1649419200@mediafutures.no
SUMMARY:UiB AI #2 But\, why? - make AI answer!
DESCRIPTION:Welcome to the second seminar in the UiB AI seminar series.  The event is open to all employees and students at UiB. Prior registration is required.  \nTITLE: UiB AI #2 But\, why?  – make AI answer! \nWHEN: Friday 8 April\, 10:00-12:00WHERE: Universitetsaulaen\, Muséplassen 3\, Bergen \nSeminar registration \nBackground: \nArtificial intelligence (AI) is increasingly involved in decision making. Decision-making can be a monotonous task that involves a lot of routine operations and the processing of vast amounts of information. Involving artificial intelligence is a possibility to spare human time and allow for it to be used in a more meaningful way\, both for society and for the individuals involved. \nDecisions by AI can mean many different things. On one hand\, machine learning is used to identify who is most likely to pass the exam\, how much your house will be appraised for\, or how likely malignant that spot is on your mammography image.  On the other hand\, automated decision-makers are built to follow a specific set of rules. When a decision affects our life\, we would like to know how and why that decision was made. Knowing why helps scientists and engineers improve the automated decision-making tools. It also helps individuals to retain their autonomy. If you do not know why\, you cannot possibly do anything to change a decision. Not knowing why makes the personal experience the same as being subjected to a roll of a dice deciding the value of your property and the quality of your life. \nTo explain means to provide information about a process that is meaningful\, useful and understandable to the person for whom it is intended. Not all AI methods `shed’ enough information for a meaningful explanation to be feasible. It is not that the why exists somewhere and the AI method would not admit to it. Machine learning algorithms produce models of correlations in the data. The data is a numerical representation of the real world. There might be a reason in the real world why two phenomena are related. A machine learning model can correctly identify that relation without having access to\, or making use of\, the reasons for it. AI methods that rely on symbolic representations by design produce `reason based’ decisions. However\, those reasons are not explanations\, just the material from which explanations are built. \nHow do we build AI that explains its decisions? There are numerous challenges to be addressed both in providing material for explanations and constructing explanations. Ultimately\, some AI approaches would always be more explanation friendly than others. One can break a walnut with a sledgehammer\, but we do not use sledgehammers for this purpose because they tend to destroy the walnut. Analogously\, an AI approach can be used for a decision-making purpose\, but its explainability should be matched with a consideration of what impact do the produced decisions have. Otherwise\, we risk breaking something we cherish. \nIn this seminar we will describe how AI – sees the world and makes decisions. We will elucidate what happens when we say the AI reasons and the AI learns. We will discuss how researchers are trying to change different AI methods to gain more explainability from AI. \nBIO: \nSamia Touileb is a researcher at MediaFutures working on Norwegian Language Technologies. Her main research interests are information extraction\, sentiment analysis\, bias and fairness in NLP\, and applications of NLP and machine learning methods to tasks within social science research. She holds a PhD in Information Science with a focus on Natural Language Processing (NLP) from the University of Bergen\, was a Postdoc at the Language Technology Group at the University of Oslo\, and has been working within research in and applications of AI and NLP for almost a decade. \nGhazaal Sheikhi is a Postdoctoral Fellow at MediaFutures. Her research interests revolve around machine learning\, natural language processing and textual content analysis. She holds a PhD in Computer engineering (Machine Learning) from Eastern Mediterranean University\, North Cyprus and a master’s degree in Biomedical Engineering from Amirkabir University of Technology\, Teheran\, Iran.
URL:https://mediafutures.no/event/uib-ai-2-but-why-make-ai-answer/
CATEGORIES:Events,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220317T130000
DTEND;TZID=Europe/Oslo:20220317T140000
DTSTAMP:20260406T151156
CREATED:20220222T102109Z
LAST-MODIFIED:20220320T133719Z
UID:11451-1647522000-1647525600@mediafutures.no
SUMMARY:MediaFutures Seminar: Detecting Fake News by Using Weakly Supervised Learning. Assoc. Prof. Özlem Özgöbek
DESCRIPTION:Dr. Özlem Özgöbek\, Associate Professor at NTNU\, Norway will give a seminar on 17 March\, at 13:00. \nTITLE: Detecting Fake News by Using Weakly Supervised LearningWHEN: Thursday 17 March\, 13:00-14:00WHERE: Zoom – \nhttps://uib.zoom.us/j/64607939290?pwd=cStOdG90YWRjSW02RmN6TjAxakQwZz09 \nMeeting ID: 646 0793 9290\n\nPassword: m9hyue9C\n \nABSTRACT: \nSpread and existence of fake news has been amplified by the advancements in internet and social media. Today\, it is one of the most important problems that affects the society. Various artificial intelligence methods have been used to address the automatic detection of fake news. However\, the complex and dynamic nature of news makes this task challenging. In this talk\, I’m going to address some of these challenges and present an ongoing work on fake news detection by using weakly supervised learning. \nBIO: \nDr. Özlem Özgöbek works as an associate professor at the Department of Computer Science at NTNU. Her research focuses on recommender systems\, privacy issues in recommender systems and disinformation detection for online news. She is a co-founder of Norwegian Big Data Symposium (NOBIDS) and actively involved in organizing INRA workshop series since 2014.
URL:https://mediafutures.no/event/mediafutures-seminar-detecting-fake-news-by-using-weakly-supervised-learning-assoc-prof-ozlem-ozgobek/
CATEGORIES:Events,Seminar,WP2 User Modeling, Personalisation & Engagement
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220225T110000
DTEND;TZID=Europe/Oslo:20220225T120000
DTSTAMP:20260406T151156
CREATED:20220203T142132Z
LAST-MODIFIED:20220306T135857Z
UID:11210-1645786800-1645790400@mediafutures.no
SUMMARY:MediaFutures Seminar:  Visual Content Verification in the News Domain. PhD Candidate Sohail Ahmed Khan
DESCRIPTION:Sohail Ahmed Khan\, PhD Candidate from MediaFutures\, University of Bergen\, Norway will give a seminar on 25 February\, at 11:00. \nTITLE: Visual Content Verification in the News DomainWHEN: Friday 25 February\, 11:00-12:00WHERE: Zoom – https://uib.zoom.us/j/66009400805?pwd=MWpHZjdpK29TZTlSTVpZTXhDdkhSZz09 \nMeeting ID: 660 0940 0805\n\nPassword: qHdQfj1S\n \nABSTRACT: \nThe purpose of the talk is to get valuable comments and suggestions from the industrial partners about visual content verification in the news domain. I will talk about the research questions which I plan to answer during my PhD. This project is associated with Task 3.2 at MediaFutures’ WorkPackage-3 (Multimedia Content Analysis and Production) aiming to develop tools/prototypes for visual content verification. I will talk about visual content verification in the news domain while focusing on three research questions\, namely 1) how the journalists and news rooms verify visual user generated content they encounter online\, 2) how to effectively combat deep fake media\, and 3) how to fight mis/disinformation shared online in the form of cheap fake media? Our expectations from this project are 1) advancing the state-of-the-art in automated multimedia content verification and 2) developing prototypes based on the proposed models which can be employed for multimedia content verification by the industry partners. \nBIO: \nSohail is a PhD candidate at MediaFutures and University of Bergen. He holds an MSc in Cybersecurity and Artificial Intelligence from the University of Sheffield\, UK. Prior to joining MediaFutures\, Sohail worked as a research assistant at Mohamed bin Zayed University of AI\, Abu Dhabi\, UAE. Before that\, he worked as a remote research assistant at CYENS Centre of Excellence\, Nicosia\, Cyprus. His research interests intersect deep learning\, computer vision and multimedia forensics. Sohail is currently associated with the MediaFutures’ Work Package 3\, Media Content Analysis and Production.
URL:https://mediafutures.no/event/mediafutures-seminar-visual-content-verification-in-the-news-domain/
CATEGORIES:Events,Seminar,WP3 Media Content Production & Analysis
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/sohali-khan-e1639393146294.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220211T120000
DTEND;TZID=Europe/Oslo:20220211T130000
DTSTAMP:20260406T151156
CREATED:20220101T154920Z
LAST-MODIFIED:20220204T084423Z
UID:10587-1644580800-1644584400@mediafutures.no
SUMMARY:MediaFutures Seminar: News diversity and recommendation systems: An interdisciplinary approach. Dr. Kristin Van Damme.
DESCRIPTION:Dr. Kristin Van Damme\, a senior researcher from Artevelde University of Applied Sciences\, will give a seminar on 11 February at 12:00. \nTITLE: News diversity and recommendation systems: An interdisciplinary approach.WHEN: Friday 11 February\, 12:00-13:00WHERE: Zoom – https://uib.zoom.us/j/68035691403?pwd=aGtEaVlVREx3MzFVM3diQlJGU1JCZz09Meeting ID: 680 3569 1403Password: pXe8JC3C \nABSTRACT: \nConcerns about selective exposure and filter bubbles in the digital news environment have raised questions on how news recommendation systems can be more citizen-oriented so that they facilitate – rather than limit – the normative aims of journalism. In response to this question\, the NewsDNA project aimed at developing an algorithm that uses news diversity as a key driver for personalized news recommendation. To do so\, we combined insights from multiple research disciples: computer sciences (news recommendation systems); communication sciences (conceptualisations of news diversity); law (right to receive information) and computational linguistics (automated content extraction from text). As such\, we hoped to give stakeholders – such as policymakers and news producers – a realistic view on the opportunities and pitfalls of developing a citizen-oriented news recommendation system.   \nBIO: \nDr. Kristin Van Damme is senior researcher in journalism at Artevelde University of Applied Sciences (Research & Development Center Communication\, Media and Design) and project lead of the News Barometer project\, an investigation of youth’s (12-26y) relation with news and disinformation. Additionally\, she is lecturer Journalism at Communication Sciences at Ghent University. She obtained a PhD in journalism studies by studying news use in the transforming news environment.
URL:https://mediafutures.no/event/mediafutures-seminar-news-diversity-and-recommendation-systems-an-interdisciplinary-approach-dr-kristin-van-damme/
CATEGORIES:Events,Seminar,WP1 Understanding Media Experiences
ATTACH;FMTTYPE=image/png:https://mediafutures.no/wp-content/uploads/profielfoto-rowles-Kristin-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20220114T110000
DTEND;TZID=Europe/Oslo:20220114T120000
DTSTAMP:20260406T151156
CREATED:20220107T203514Z
LAST-MODIFIED:20220115T205554Z
UID:10693-1642158000-1642161600@mediafutures.no
SUMMARY:MediaFutures Seminar: Automated Fact-checking: the scope of the problem in the state-of-the-art. Postdoc Fellow Ghazaal Sheikhi.
DESCRIPTION:Ghazaal Sheikhi\, Postdoc Fellow from MediaFutures\, University of Bergen\, Norway will give a seminar on 14 January\, at 11:00. \nTITLE: Automated Fact-checking: the scope of the problem in the state-of-the-artWHEN: Friday 14 January\, 11:00-12:00WHERE: Zoom https://uib.zoom.us/j/68310482035?pwd=NHR2NXhuU1lZSjFHdEZCekNxaC9yZz09Meeting ID: 683 1048 2035Password: krFzY285 \nABSTRACT: \nFact-checking in technical terms is the process of analyzing textual content for claim veracity detection. To mitigate the time and the human burden of fact-checking and to allow for more fact-checked articles\, the use of ML and NLP to automate the fact-checking procedure has attracted notable interest in the recent decade. Automated fact-checking can be decomposed into three major sub-tasks including claim detection\, evidence retrieval/ranking\, and claim verification. Factual verification is the term used to refer to evidence retrieval and verification\, integrated into a single task. Stance detection has also been considered as a distinct component of the pipeline\, but it is basically part of the verification procedure. Another integrant of the verification sometimes addressed as a separate task is justification/explanation generation. The proposed solutions either result in end-to-end fact-checking systems or tackle certain tasks in the pipeline. This seminar covers the scope of the automated fact-checking problem in recent literature focusing on several approaches based on traditional machine learning techniques\, deep learning models\, information retrieval systems\, and knowledge graphs.   \nBIO: \nGhazaal Sheikhi is a Postdoctoral Fellow in the Department of Information Science and Media Studies\, University of Bergen\, Norway. Her research interests revolve around machine learning\, natural language processing and content analysis. Ghazaal investigates (semi) automated methods and tools to support fact-checking in newsrooms. In MediaFutures\, she studies AI systems\, NLP models and\, ML methods to support fact-checking in newsrooms\, particularly aiming at enhancing claim detection\, verification\, and justification.  \nBefore\, Ghazaal was an Assistant Professor in the Faculty of Engineering\, Final International University\, North Cyprus. She holds a PhD in Computer Engineering (Machine Learning) from Eastern Mediterranean University\, North Cyprus and a master’s degree in Biomedical Engineering from the Amirkabir University of Technology\, Tehran\, Iran.
URL:https://mediafutures.no/event/mediafutures-seminar-automated-fact-checking-the-scope-of-the-problem-in-the-state-of-the-art-postdoc-fellow-ghazaal-sheikhi/
CATEGORIES:Events,Seminar,WP3 Media Content Production & Analysis
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/Ghazaal_sized.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20211202T120000
DTEND;TZID=Europe/Oslo:20211202T130000
DTSTAMP:20260406T151157
CREATED:20211123T075729Z
LAST-MODIFIED:20211204T190523Z
UID:10112-1638446400-1638450000@mediafutures.no
SUMMARY:MediaFutures Seminar: Modeling News Flows: How Feedback Loops Influence Citizens' Beliefs and  Shape Societies. Assoc. Prof. Damian Trilling.
DESCRIPTION:Damian Trilling\, Associate Professor at the University of Amsterdam\, will give a seminar on 2 December\, at 12:00. \nTITLE: Modeling News Flows: How FeedbackLoops Influence Citizens’ Beliefs and Shape SocietiesWHEN: Thursday 2 December\, 12:00-13:00WHERE: Zoom : https://uib.zoom.us/j/62205578637?pwd=azNkZ21UY3V6cE5KYTVJRGxmclZOQT09#successMeeting ID: 622 0557 8637Password: YT2sX3MZ \nABSTRACT: \nIn both public and scientific debates\, many worry that the architecture of our current (online) media environment leads to so-called “echo chambers” or “filter bubbles”. In this talk\, I will challenge these metaphors and argue that they distract us from a deeper understanding of the underlying\, reinforcing processes. First\, I will discuss the role of recommender systems and other algorithmic systems in news exposure and dissemination\, and under which circumstances the feedback loops they produce can indeed have detrimental consequences for society. Second\, I will discuss feedback loops as they occur between different outlets and domains. This results in the outline a research agenda. I will end on an optimistic note\, though\, and argue how a stronger role of communication science can help developing beneficial tools for our society. \nBIO: \nDamian Trilling is Associate Professor at the Department of Communicaton Science at the University of Amsterdam)\, where he is Co-Director of the Communication in the Digital Society Initiative and member of the program group Political Communication and Journalism. He is also one of the co-founders of the Computational Communication Science Amsterdam Lab. Next to general courses in political communication\, he teaches intensively in the area of Computational Communication Science. His research focuses on the question how news spreads in today’s media landscape and how people follow the news. In particular\, he is interested in reinforcing processes\, such as the question in how far exposure and distribution re-inforce each other\, and how the users and algorithms interact in such processes.
URL:https://mediafutures.no/event/mediafutures-seminar-modeling-news-flows-how-feedbackloops-influence-citizens-beliefs-and-shape-societies-assoc-prof-damian-trilling/
CATEGORIES:Events,Seminar,WP1 Understanding Media Experiences
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/Damian-e1475437748392-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20211126T120000
DTEND;TZID=Europe/Oslo:20211126T130000
DTSTAMP:20260406T151157
CREATED:20211120T203649Z
LAST-MODIFIED:20211129T070452Z
UID:10037-1637928000-1637931600@mediafutures.no
SUMMARY:MediaFutures Seminar: Platform provenance analysis for digital images. Assistant Prof. Cecilia Pasquini.
DESCRIPTION:Cecilia Pasquini\, Assistant Professor at the University of Trento\, Italy\, will give a seminar on 26 November\, at 12:00. \nTITLE: Platform provenance analysis for digital images. \nWHEN: Friday 26 November\, 12:00-13:00\nWHERE: https://uib.zoom.us/j/61463829083?pwd=UmpxU3AwY0JFWDZITWppWkcxWlZTUT09\n \nMeeting ID: 614 6382 9083\nPassword: 65UPcP4H \n\n \nABSTRACT: \n \nThe forensic analysis of image and video data that have been shared through social networks entails significant technological challenges. In fact\, during the (possibly multiple) uploading processes\, sharing platforms typically apply on the data routine operations such as recompression and resizing\, so to reduce memory and bandwidth requirements. While this implies a degradation of the visual information that hinders\, for instance\, the possibility to identify the acquisition device\, it has been observed that the transition through different social media platforms leave distinctive patterns on the data.By characterising those patterns at both signal and metadata-level\, information on previous sharing operations can be extracted\, thus possibly enabling a backward reconstruction of the sharing path of the visual data under analysis. This talk will report recent evidences in this direction and opportunities for provenance analysis on shared digital images.\n \nBIO: \n \nCecilia Pasquini received her PhD in 2016 from the University of Trento\, Italy. From 2016 to 2020\, she has been a Postdoctoral Fellow at the Privacy and Security Lab with the Universität Innsbruck\, Austria\, and at the IT Security Lab at the University of Münster\, Germany. In 2013\, she was visiting PhD student at the University of Vigo\, Spain. Prior to that\, she received a BS and MS degree in Mathematics from the University of Ferrara\, Italy\, in 2010 and 2012.Her research area lies at the intersection of multimedia signal processing  and  information security\, with special focus on image and video forensics\, multimedia security\,  adversarial signal processing and machine learning. She has participated in several projects on these topics\, such as UNCHAINED (funded by DARPA)\, PREMIER (funded by MIUR)\, ITBDIF (funded by Deutsche Forschungsgemeinschaft)\, J-MDS\, NOTIS\, ECMSF (funded by EUREGIO).  She has been General Co-Chair of the ACM Workshop on Information Hiding & Multimedia Security 2018\, and co-organizer of the special session “Information Security meets Adversarial Examples” at IEEE WIFS 2019. She is member of the Technical Program Committee of several conferences and workshops (e.g.\, ACM IH&MMSec\, IEEE WIFS\, IEEE ICASSP\, EUSIPCO)\, serves as reviewer for many journals (e.g.\, IEEE TIFS\, IEEE TCSVT\, IEEE TIP) and as Associate Editor for the EURASIP Journal on Information Security. She is an elected member of the EURASIP BForSec Technical Area Committee. She received the Top 10% paper award (IEEE International Workshop on Multimedia Signal Processing 2013) and the “F. Carassa” GTTI 2015 award for the best ongoing PhD.  
URL:https://mediafutures.no/event/mediafutures-seminar-multi-clue-reconstruction-of-sharing-chains-for-social-media-images/
LOCATION:Online
CATEGORIES:Events,Seminar,WP3 Media Content Production & Analysis
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/P_Cecilia_Pasquini-e1637440800612.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20211125T120000
DTEND;TZID=Europe/Oslo:20211125T130000
DTSTAMP:20260406T151157
CREATED:20210916T123151Z
LAST-MODIFIED:20211129T065236Z
UID:9240-1637841600-1637845200@mediafutures.no
SUMMARY:MediaFutures Seminar: Translating Educational Data into Meaningful Practices: Insights from the field of Learning Analytics. Mohammad Khalil.
DESCRIPTION:Mohammad Khalil\, senior researcher at UiB Centre for the Science of Learning & Technology (SLATE)\, will give a seminar on 25 November\, at 12:00. \nTITLE: Translating Educational Data into Meaningful Practices: Insights from the field of Learning AnalyticsWHEN: Thursday 25 November\, 12:00-13:00WHERE: https://uib.zoom.us/j/63125529816?pwd=OTc0MStQYUczTkEzTXVRZTlBYUpyQT09Meeting ID: 631 2552 9816Password: 8U0vAVAy \nABSTRACT: \nSince the last decade\, higher education has moved online and institutions have had access to more student data than ever before. A proactive move before the recent pandemic where online and virtual learning environments had functioned as primarily digital repositories of educational resources\, employing student data to improve learning experiences and environments was disseminated in 2011\, so-called Learning Analytics. For 11 years\, the emerging of Learning Analytics has evolved into a mature research field and practice. \nIn this talk\, I will share with you some facts about the field in 4Ws\, Where it originates from? What theories have influenced the field? How does it translate students’ data into useful practices (empirical evidence)? and What concerns have been raised through such usage? \nBIO:Mohammad Khalil\, PhD\, is a senior researcher of Learning Analytics at the Centre for the Science of Learning & Technology (SLATE). His research interests focus on understanding online learning behavior based on students digital traces in virtual environments\, including self-regulation. His other research interests include privacy and ethics\, and visualizations. Khalil is the author of over 60 research papers in scholarly journals and international conferences in the area of Learning Analytics and Technology-Enhanced Learning.
URL:https://mediafutures.no/event/mediafutures-seminar-translating-educational-data-into-meaningful-practices-insights-from-the-field-of-learning-analytics-mohammad-khalil/
LOCATION:Online
CATEGORIES:Events,Seminar,WP2 User Modeling, Personalisation & Engagement
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/Mohammad-Khalil.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20211111T130000
DTEND;TZID=Europe/Oslo:20211111T140000
DTSTAMP:20260406T151157
CREATED:20210916T121604Z
LAST-MODIFIED:20211109T143626Z
UID:9233-1636635600-1636639200@mediafutures.no
SUMMARY:CEDAS & MediaFutures Joint Seminar: Knowledge Graph: Exploring Reasoning and Learning with Jeff Z. Pan
DESCRIPTION:Please join the Center for Data Science (CEDAS\, UiB) and MediaFutures for an invited talk by Dr. Jeff Z. Pan from the School of Informatics at The University of Edinburgh\, about the topic of Knowledge Graphs. \nTITLE: Knowledge Graph: Exploring Reasoning and LearningWHEN: 11 November\, 13:00-14:00WHERE: https://uib.zoom.us/j/66264523995?pwd=V0RCd3l4NHNkSHpBRzlXZzl0RDEwdz09 \nAbstract: The topic of large scare knowledge representation and reasoning has been popular over the last two decades. It has gone  through a few stages in recent years\, including the Semantic Web\, Linked Data and Knowledge Graph. Different stages come with different reasoning tasks; e.g.\, the Semantic Web stage favours ontological (schema) reasoning\, while the Linked Data stage attracts data reasoning and query answering. In the Knowledge Graph stage\, it seems that learning is regarded as a key reasoning task\, at least as an approximate reasoning task. In this talk\, I will share some of my thoughts on learning and reasoning in the Knowledge Graph stage\, from the perspective of approximate reasoning\, and maybe more. \nSpeaker: Dr Jeff Z. Pan is a Reader on Knowledge Graphs at  the School of Informatics at The University of Edinburgh. He co-chairs the Knowledge Graphs group at the Alan Turing Institute. He received his Ph.D. in Computer Science from The University of Manchester. His research focuses primarily on knowledge representation and artificial intelligence\, in particular on knowledge graph based learning and reasoning\, and knowledge based natural language understanding and generations\, as well as their applications. He was an official reviewer of the international Knowledge Graph standards RDF and SPARQL and was a key contributor of the international standard (OWL) of Knowledge Graph schemas. He led the development of the award-wining TrOWL approximate reasoner\, which is one of the top three OWL 2 DL reasoners in the sound and complete Ontology Reasoner Evaluation (ORE2014). He was the Chief Scientist of the EU Marie-Curie K-Drive project. He is the Chief Editor of the first two books on Knowledge Graph. He is an Associate Editor of the Journal of Web Semantics (JWS) and of the International Journal on Semantic Web and Information Systems (IJSWIS). He is a Programme Chair of the 19th International  Semantic Web Conference (ISWC 2020)\, the premier international forum for the Semantic Web and Knowledge Graph. \nFor more info from CEDAS\, please visit: https://www.uib.no/cedas-norsk/147863/knowledge-graph-exploring-reasoning-and-learning 
URL:https://mediafutures.no/event/cedas-mediafutures-joint-seminar-knowledge-graph-exploring-reasoning-and-learning/
LOCATION:Online
CATEGORIES:Events,Seminar
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/jeffpan4-1-e1635762026954.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20211028T120000
DTEND;TZID=Europe/Oslo:20211028T130000
DTSTAMP:20260406T151157
CREATED:20210916T121140Z
LAST-MODIFIED:20220225T081307Z
UID:9231-1635422400-1635426000@mediafutures.no
SUMMARY:MediaFutures Seminar: Countering rumours in online social media: A comprehensive response with the focus on ML-based approaches\, Amir Ebrahimi Fard
DESCRIPTION:Amir Ebrahimi Fard\, Postdoctoral Researcher on Explainable AI at Maastricht University\, will give a talk on Thursday 28 October\, at 12:00. \n  \nTITLE: Countering rumours in online social media: A comprehensive response with the focus on ML-based approachesWHEN: Thursday 28 October 2021\, 12:00-13:00WHERE: Zoom: https://uib.zoom.us/j/62501981715?pwd=cTFaemd6d2gzWTVlamcrWW9BTC8rdz09 Meeting ID: 625 0198 1715Password: MQFY5Zm1 \nAbstract:  \nThe phenomenon of rumour spreading refers to a collective process where people participate in the transmission of unverified and relevant information to make sense of ambiguous\, dangerous\, or threatening situations. The dissemination of rumours in certain subject domains such as healthcare\, economics\, and politics on a large scale no matter with what purpose could precipitate catastrophic repercussions. Thus it is of utmost importance to respond to this growing threat urgently and meticulously. There have been serious efforts by governments\, platforms\, news organisations\, and academic institutions around the world to curb and control the dissemination of online rumours; however\, the surge of unsubstantiated claims and conspiracy theories during the COVID time showed the power of this phenomenon once more. \nInspired by epidemiology\, during this seminar\, I will discuss a comprehensive and coordinated response to counter rumour spreading in social media. Besides\, in this response\, I will emphasise the role of machine learning-based models due to their scalability and point out one specific issue with current approaches to computational rumour detection. \nBio:  \nAmir Ebrahimi Fard is a postdoctoral researcher on Explainable AI at the Department of Data Science and Knowledge Engineering at Maastricht University. He received his PhD from TU Delft on the topic of rumour detection in online social media.
URL:https://mediafutures.no/event/mediafutures-seminar-amir-ebrahimi-fard/
LOCATION:Online
CATEGORIES:Events,Seminar,WP2 User Modeling, Personalisation & Engagement
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/photo_Amir-Ebrahimi-Fard-scaled-e1636031008101.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20211015T120000
DTEND;TZID=Europe/Oslo:20211015T130000
DTSTAMP:20260406T151158
CREATED:20210916T115029Z
LAST-MODIFIED:20220225T081524Z
UID:9224-1634299200-1634302800@mediafutures.no
SUMMARY:MediaFutures Seminar: Nordis - The Nordic Observatory for Digital Media and Information Disorder\, Carl-Gustav Lindén
DESCRIPTION:Carl-Gustav Lindén\, Associate Professor in Data Journalism at the University of Bergen\, will give a talk to the MediaFutures community on 15 October at 12:00 about the new project titled “Nordis – The Nordic Observatory for Digital Media and Information Disorder”. The Nordis project is funded by the European Commission for a duration of two years\, and is led by DATALAB at Aarhus University in Denmark. It’s a Nordic consortium\, where the University of Bergen and Faktisk.no\, are the Norwegian partners. \nTITLE: Nordis – The Nordic Observatory for Digital Media and Information DisorderWHEN: Friday 15 October 2021\, 12:00-13:00WHERE: https://uib.zoom.us/j/67891397775?pwd=em9GeVg4K3Vmb25FVk4yb3VtQ0FmQT09Meeting ID: 678 9139 7775Password: jstmr0tC \nAbstract:  \nUniversity of Bergen (UiB) is part of the EU funded project NORDIS – Nordic observatory for digital media and information disorders that was launched on September 1. The European Commission has announced the eight selected national hubs that will become part of the European Digital Media Observatory (EDMO) network. The network of hubs on digital media will contribute to the fight against disinformation. NORDIS will be an independent Nordic regional hub with all national certified fact-checkers and a university in each of the four biggest Nordic countries Sweden\, Finland\, Norway and Denmark. The consortium will contribute to EDMO and the European infrastructure of combating disinformation and digital information disorder with a specific welfare state perspective. NORDIS is coordinated by Aarhus Universitet and UiB is responsible for Work Package 3 that will center around innovation and technology. In this WP the researchers at UiB will collaborate closely with fact-checkers and new technology companies as well as other EDMO hubs to analyse user needs and develop new tools for verification of content. \nBio:  \nCarl-Gustav Lindén is Associate Professor of Data Journalism at UiB and will be working with the NORDIS project during 2021-2023.
URL:https://mediafutures.no/event/mediafutures-seminar-nordis-the-nordic-observatory-for-digital-media-and-information-disorder-carl-gustav-linden/
LOCATION:Online
CATEGORIES:Events,Seminar,WP3 Media Content Production & Analysis
ATTACH;FMTTYPE=image/png:https://mediafutures.no/wp-content/uploads/carl-gustav-linden-e1636030793761.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210929T120000
DTEND;TZID=Europe/Oslo:20210930T140000
DTSTAMP:20260406T151158
CREATED:20210707T103727Z
LAST-MODIFIED:20220225T081826Z
UID:6399-1632916800-1633010400@mediafutures.no
SUMMARY:MediaFutures Annual Meeting
DESCRIPTION:The program and link to register can be found here:  \nhttps://mediafutures.no/2021/08/27/program-for-mediafutures-annual-meeting-2021/
URL:https://mediafutures.no/event/mediafutures-annual-meeting/
CATEGORIES:Events
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/2020/12/d92b15847ab28fbfcc04e0ffa9c4caa427d9c678.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210924T110000
DTEND;TZID=Europe/Oslo:20210924T120000
DTSTAMP:20260406T151158
CREATED:20210906T094652Z
LAST-MODIFIED:20220225T081930Z
UID:8958-1632481200-1632484800@mediafutures.no
SUMMARY:Seminar: Natural Language Generation\, Automated Journalism and Finding the Middle Road
DESCRIPTION:MediaFutures is pleased to announce that Leo Leppänen\, who is a computer science doctoral student at the Discovery Research Group of University of Helsinki\, Finland will be giving a seminar on the topic of natural language generation. \nWelcome to all! \nTITLE: Natural Language Generation\, Automated Journalism and Finding the Middle Road\nWHEN: Friday\, 24 September 2021\, at 11.00-12.00\nWHERE: https://uib.zoom.us/j/63314203494?pwd=dGM0MlkwR1QwUjY5RW9UZXR1VnJ3QT09#success\nMeeting ID: 633 1420 3494\nPassword: TC17bnzj \nAfter more than half a century of academic research\, natural language generation has established a clear foothold in the newsroom. In this talk\, I’ll discuss lessons learned from building multilingual natural language generation systems for several number-heavy news domains such as elections\, national statistics\, and COVID developments. We’ll discuss what I believe are the most significant relative downsides associated with commonly employed approaches\, and what could be a “middle road” that might sidestep at least some of said downsides. This exploration is not limited to purely technical aspects\, and we will also make short detours to some legal and ethical questions related to automated production of news texts.\n		\n			\n				\n			\n			\n		 \n		\n			Leo Leppänen is a computer science doctoral student at the Discovery Research Group of University of Helsinki\, Finland. His research focus is on data-to-text natural language generation\, more specifically on the automated generation of reports for purposes of news\, analysis of historical news paper collections\, teaching etc. In addition to approaching the topic from a computer science perspective\, he is also interested in both ethical and legal questions related to use of AI in the newsroom.
URL:https://mediafutures.no/event/natural-language-generation-automated-journalism-and-finding-the-middle-road/
LOCATION:Online
CATEGORIES:Events,Seminar,WP3 Media Content Production & Analysis
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/portrait_ljleppan_small-e1636031096757.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210618T110000
DTEND;TZID=Europe/Oslo:20210618T120000
DTSTAMP:20260406T151158
CREATED:20210609T061321Z
LAST-MODIFIED:20210811T112424Z
UID:5690-1624014000-1624017600@mediafutures.no
SUMMARY:Workshop on trust and distrust in news
DESCRIPTION:TIME: 18.06.21 kl. 11:00 – 12:00\nPLACE: https://uib.zoom.us/j/65759547007?pwd=SS9oeUlhd3BPS0lpV1VBT0lTSGc5UT09 \nMeeting ID: 657 5954 7007\nPassword: gNZyzZ00 \nPROGRAM:\n10 min: Welcome and introduction\n10 min: Irene Costera Meijer – How young people (18-34) and older people (45 +) differ in the way they deal with experiences of trust and distrust.\n10 min: Erik Knudsen – Understanding trust in the media and its determinants.\n30 min: Discussion – what role does news media trust play in MediaFutures? \nJoin Zoom Meeting (recommended)\nhttps://uib.zoom.us/j/65759547007?pwd=SS9oeUlhd3BPS0lpV1VBT0lTSGc5UT09 \n 
URL:https://mediafutures.no/event/workshop-on-trust-and-distrust-in-news/
LOCATION:Online
CATEGORIES:Events,WP1 Understanding Media Experiences
ATTACH;FMTTYPE=image/png:https://mediafutures.no/wp-content/uploads/workshopTrustDistrust.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210617T130000
DTEND;TZID=Europe/Oslo:20210617T140000
DTSTAMP:20260406T151158
CREATED:20210415T124900Z
LAST-MODIFIED:20210713T135613Z
UID:5579-1623934800-1623938400@mediafutures.no
SUMMARY:Seminar: Exploring media experience: why is it important to media innovation? Irene Costera Meijer\, Vrije Universiteit Amsterdam
DESCRIPTION:Irene Costera Meijer\, Professor of Journalism Studies at Vrije Universiteit Amsterdam\, (The Netherlands) and Professor II at the University of Bergen will talk about why we should regard audience experience as key to both innovation and quality. \nTITLE: Exploring media experience: why is it important to media innovation?\nWHEN: Thursday\, 17 June 2021\, 13:00-14:00\nWHERE:https://uib.zoom.us/j/61527564041?pwd=M25Qay8ybHpSZVRjaVdxQXJRbHgwQT09\nMeeting ID: 615 2756 4041\nPasscode: erM6f2uy \nABSTRACT: In today’s world\, innovation appears to have replaced quality as the dominant concept in metajournalistic discourse. Innovation guards the distribution of financial resources – more investments in technology – and working conditions –more freelance journalists as a flexible workforce. Innovation also works as a distinctive mark of professional status and is at the center of antagonistic labor relations  – e.g. the introduction of robot journalism. \nThe shift from quality discourse to innovation discourse involved a change in the journalistic perception of audiences: from being irrelevant (if not a negative concern) to being main targets. \nAlthough the question of how to reach audiences seems to be still dominant\, news organizations appear to become more open and sensitive towards finding out how to become valuable to audiences\, how to open up their minds\, how to broaden their horizon\, and how to provide them with a quality experience that will enlighten them with reliable information considered worthwhile. \nIn this talk I will answer the question how innovation discourse and quality discourse may meet by focusing on what audiences experience as valuable journalism. I will demonstrate how it crystallized over the years into three key experiences: Learning something new\, Getting recognition and Increasing mutual understanding. \nBIO: Irene Costera Meijer is Professor of Journalism Studies and head of the Journalism Studies section at Vrije Universiteit Amsterdam. She is a world leading journalism and media scholar having recently set the agenda for the audience turn in journalism studies. Her research appeared in many journals and books and focuses on what news users value about journalism.  She also works as a professor II at the Research group for Media Use and Audience Studies of the Department of Information Science and Media Studies at University of Bergen. \nHer research interests focus on audience studies and in particular on the impact of digitalization on changing practices of media consumption\, media experiences and news use. When doing research she often collaborates with media organisations.  This makes it easier to translate scholarly results into relevant suggestions for every day professional practices and vice versa\, understanding the fundamental dilemmas of professional practices and translating these into academic publications. Costera Meijer is also on the editorial board of the academic journals Digital Journalism and Journalism Practice. \n 
URL:https://mediafutures.no/event/seminar-irene-costera-meijer-vrije-universiteit-amsterdam/
LOCATION:Online
CATEGORIES:Events,Seminar,WP1 Understanding Media Experiences
ATTACH;FMTTYPE=image/png:https://mediafutures.no/wp-content/uploads/2020/12/Irene_Costera_Meijer.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210608T110000
DTEND;TZID=Europe/Oslo:20210608T120000
DTSTAMP:20260406T151158
CREATED:20210519T132514Z
LAST-MODIFIED:20210705T072001Z
UID:5663-1623150000-1623153600@mediafutures.no
SUMMARY:Seminar: Computational Psychology in Recommender Systems\, Marko Tkalčič\, University of Primorska (Slovenia).
DESCRIPTION:MediaFutures is pleased to announce that Marko Tkalčič\, who is an Associate Professor at University of Primorska (Slovenia) will be giving a seminar on the topic of computational psychology in recommender systems. \nWelcome to all! \nTITLE: Computational Psychology in Recommender Systems\nWHEN: Tuesday\, 8 June 2021\, at 11:00-12:00\nWHERE: https://uib.zoom.us/j/61489174500?pwd=MGRQWWs2K0lYQ1hPSlBJZjF5VU85Zz09\nMeeting ID: 614 8917 4500\nPassword: 27A9wUG6 \nABSTRACT: Recommender systems are systems that help users in decision-making situations where there is an abundance of choices. We can find them in our everyday lives\, for example in online shops. State-of-the-art research in recommender systems has shown the benefits of behavioural modeling. Behavioural modeling means that we use past ratings\, purchases\, clicks etc. to model the user preferences. However\, behavioural modeling is not able to capture certain aspects of the user preferences. In this talk I will show how the usage of complementary research in computational psychology\, such as detection of personality and emotions\, can benefit recommender systems. \nBIO: Marko Tkalčič is associate professor at the Faculty of Mathematics\, Natural Sciences and Information Technologies (FAMNIT) at the University of Primorska in Koper\, Slovenia. He aims at improving personalized services (e.g. recommender systems) through the usage of psychological models in personalization algorithms. To achieve this\, he uses diverse research methodologies\, including data mining\, machine learning\, and user studies. He is editorial board member of the Springer UMUAI and Frontiers in Psychology journals and PC chair of the ACM UMAP 2021 conference. \n 
URL:https://mediafutures.no/event/seminar-computational-psychology-in-recommender-systems-marko-tkalcic-university-of-primorska-slovenia/
LOCATION:Online
CATEGORIES:Events,Seminar,WP2 User Modeling, Personalisation & Engagement
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/Marko-Tkalcic-e1625469689507.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210603T130000
DTEND;TZID=Europe/Oslo:20210603T140000
DTSTAMP:20260406T151158
CREATED:20210325T080321Z
LAST-MODIFIED:20210520T112711Z
UID:5417-1622725200-1622728800@mediafutures.no
SUMMARY:Seminar: AI in the social sciences AND a taxonomy of fake news: Two research themes. Rich Ling\, Nanyang Technological University\, Singapore.
DESCRIPTION:Welcome to a seminar with Shaw Foundation Professor of Media Technology\, Rich Ling\, at Nanyang Technological University\, Singapore\, on Thursday\, 3 June. \nTITLE: AI in the social sciences AND a taxonomy of fake news: Two research themes.\nWHEN: Thursday\, 3 June 2021\, 13:00-14:00\nWHERE: https://uib.zoom.us/j/66200674584?pwd=a2lUZ1dNZEZNNzdycVI2c1Z3aHhuQT09\nMeeting ID: 662 0067 4584\nPassword: KC8KX7zi \nABSTRACT: In this talk\, Rich Ling will examine the role of AI in social science research. In addition\, he will examine a taxonomy of fake news. In the case of AI in the social sciences\, Ling will examine how this technology is emerging as a new tool that will eventually shape social science research in the coming years. When considering fake news\, Ling will review how this phenomenon has been seen over the past decade and how researchers have approached it. \nBIO: Rich Ling has been the Shaw Foundation Professor of Media Technology\, at Nanyang Technological University\, Singapore where he studies the social consequences of mobile communication. Ling has written The mobile connection (2004)\, New Tech\, New Ties (2008) and Taken for grantedness (2012). He edits the Journal of Computer-Mediated Communication\, and a founding co-editor of both Mobile Media and Communication and the Oxford University Press Series\, Studies in Mobile Communication. He is a member of Det Norske Vitenskaps Akademi (The Norwegian Academy of Arts and Letters)\, Academia Europaea\, and a fellow of the International Communication Association. \nWelcome to all!
URL:https://mediafutures.no/event/seminar-rich-ling-nanyang-technological-university-singapore/
LOCATION:Online
CATEGORIES:Events,Seminar,WP4 Media Content Interaction & Accessibility
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/Rich-Ling-1-e1625469857856.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210520T130000
DTEND;TZID=Europe/Oslo:20210520T140000
DTSTAMP:20260406T151158
CREATED:20210415T070650Z
LAST-MODIFIED:20210430T074213Z
UID:5566-1621515600-1621519200@mediafutures.no
SUMMARY:Seminar: Should we have PETs in "smart" homes? Tomasz Kosinski\, Chalmers University of Technology
DESCRIPTION:MediaFutures invites you to join us for a talk with PhD candidate Tomasz Kosinski\, Chalmers University of Technology. The topic of his talk is privacy controls for the IoT systems we are surrounded by. \nWelcome to all! \nTITLE: Should we have PETs in “smart” homes?\nWHEN: 20 May 2021\, 13:00-14:00\nWHERE: https://uib.zoom.us/j/66870039042?pwd=TElra0ZlL0dFaFlaMFh5TjJ3dklmdz09\nMeeting ID: 668 7003 9042\nPassword: 2vDBE%p% \nABSTRACT: This talk is not a lecture. The goal is to use plain English. Why? To simply convey some practical information and insights. About what? On Privacy Enhancing Technologies; PETs for short. What for? So that you can answer the question in the title for yourself. (Correct\, I won’t do this one for you.) Why should you care to listen? Will it matter if you don’t? To whom? And what to use PETs for? Can it be applied to an Amazon Echo or Google Home? A “smart” lightbulb or your “smart” TV? All of them? These questions I’ll strive to answer. And I hope you will have more. Especially that in this popular science format\, I will touch upon topics that should resonate with each of you and that are not limited to dark\, dusty and narrow university corridors or Ivory towers. Tangible examples of this include reports of The Norwegian Consumer Council\, Forbrukerrådet\, regarding consumer-unfriendly practices. Similarly\, recent NRK reports on location tracking through smartphone apps illustrate some issues that will be brought up in the talk. \nBIO: The guy who will insist on not answering the question in the title is currently a pre-graduation PhD candidate. He’s based at Chalmers\, a Swedish technical university located in Gothenburg. His core background is in Computer Science. The pre-PhD excursions involved software engineering\, embedded systems\, quadcopters\, AI methods\, human-robot and human-computer interaction. During the PhD time\, he learned a bit about human studies (with mixed methods)\, scrutinizing smartphone apps (on Android) and analyzing the data showing what IoT devices tend to send over networks. Oh\, and we didn’t bother asking about his off-work interests\, since his PhD is on Privacy. You better follow him on social media for that.
URL:https://mediafutures.no/event/seminar-tomasz-kosinski-chalmers-university-of-technology/
LOCATION:Online
CATEGORIES:Events,Seminar,WP4 Media Content Interaction & Accessibility
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/Kosinski-170.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210506T141500
DTEND;TZID=Europe/Oslo:20210506T150000
DTSTAMP:20260406T151158
CREATED:20210416T123518Z
LAST-MODIFIED:20210713T100852Z
UID:5570-1620310500-1620313200@mediafutures.no
SUMMARY:Seminar: User-centered Investigation of Popularity Bias in Recommender Systems
DESCRIPTION:Please join the Center for Data Science (CEDAS\, UiB) and MediaFutures for an invited talk by Himan Abdollahpouri from the Northwestern University\, USA\, about the topic of popularity bias in recommender systems. \nWelcome to all! \n\nTITLE: User-centered Investigation of Popularity Bias in Recommender Systems.\nWHEN: 6 May 2021\, 14:15-15:00\nWHERE: https://uib.zoom.us/j/63657771765?pwd=anZlNkVPdkxoQ0FmZit5WDJ0R3FkQT09 \nABSTRACT: Recommendation and ranking systems are known to suffer from popularity bias; the tendency of the algorithm to favor a few popular items while under-representing the majority of other items. Prior research has examined various approaches for mitigating popularity bias and enhancing the recommendation of long-tail\, less popular\, items. The effectiveness of these approaches is often assessed using different metrics to evaluate the extent to which over-concentration on popular items is reduced. However\, not much attention has been given to the user-centered evaluation of this bias; how different users with different levels of interest towards popular items (e.g.\, niche vs blockbuster-focused users) are affected by such algorithms. In this talk\, I first give an overview of the popularity bias problem in recommender systems. Then\, I show the limitations of the existing metrics to evaluate popularity bias mitigation when we want to assess these algorithms from the users’ perspective and I propose a new metric that can address these limitations. In addition\, I present an effective approach that mitigates popularity bias from the user-centered point of view. Finally\, I investigate several state-of-the-art approaches proposed in recent years to mitigate popularity bias and evaluate their performances using the existing metrics and also from the users’ perspective. Using two publicly available datasets\, I show that many of the existing popularity bias mitigation techniques ignore the users’ tolerance towards popular items. The proposed user-centered method\, on the other hand\, can tackle popularity bias effectively for different users while also improving the existing metrics. \nBIO: Himan Abdollahpouri is a Postdoctoral Fellow at the Spiegel Research Center at Northwestern University\, USA. He received his Ph.D. in Information Science at the University of Colorado Boulder under the supervision of Prof. Robin Burke. He was a pioneer in developing the multi-stakeholder recommendation research paradigm and has worked on the biases that might jeopardize the fairness of the recommendations across different stakeholders. In particular\, he has done extensive work on the popularity bias in recommender systems and proposed several algorithms and evaluation metrics in this area. His work has appeared in top conferences such as RecSys\, CIKM\, UMAP\, and journals such as UMUAI. He also has worked at Pandora Media and Spotify Research as a machine learning scientist.
URL:https://mediafutures.no/event/seminar-user-centered-investigation-of-popularity-bias-in-recommender-systems/
LOCATION:Online
CATEGORIES:Events,Seminar,WP2 User Modeling, Personalisation & Engagement
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/himan_abdollahpouri-e1626170916223.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210504T121500
DTEND;TZID=Europe/Oslo:20210504T130000
DTSTAMP:20260406T151158
CREATED:20210415T110912Z
LAST-MODIFIED:20210421T080525Z
UID:5568-1620130500-1620133200@mediafutures.no
SUMMARY:Seminar: JECT.AI: Using digital technologies to augment work in the newsroom. Neil Maiden\, City University of London
DESCRIPTION:Our invited speaker\, Professor Neil Maiden\, Professor of Digital Creativity\, Cass Business School\, City University of London\, will give a talk about JECT.AI – a new digital product for augmented journalism. Maiden will also demonstrate a series of the tool’s features in the context of newsroom activities. \nWelcome to all! \nTITLE: JECT.AI: Using digital technologies to augment work in the newsroom.\nWHEN: 4 May 2021\, 12:15-13:00.\nWHERE: https://uib.zoom.us/j/63279839902?pwd=UFpUR2ZQZENidUQ5ell2MVFZYm51dz09\nMeeting ID: 632 7983 9902\nPassword: 8nfn2Y0d \nABSTRACT: This seminar will introduce JECT.AI\, a new digital product for newsrooms that has emerged from previous research and development work. The use of AI technologies in newsrooms remains contentious. Therefore\, the JECT.AI developers worked closely with journalists to design a product that augments the existing capabilities of journalists\, and ensures that journalists direct the product’s use. The seminar will demonstrate a series of JECT.AI features in the context of newsroom activities\, to reveal how the product augments rather than inhibit how journalists work\, and can enable newsrooms to operate more effectively. \nBIO: Neil Maiden is Professor of Digital Creativity at the Business School (formerly Cass) at City\, University of London\, and Director of the National Centre for Creativity enabled by AI funded by Research England. He is also Chief Product Officer at JECT.AI Limited. His current research interests include uses of artificial intelligence to augment human creativity and enhancing design methods and tools to generate more creative solutions. He is and has been a principal and co-investigator on numerous EPSRC- and EU-funded research projects with a total value of over €73 million. He has published over 220 peer-reviewed papers in academic journals\, conferences and workshops proceedings. He was Program Chair for the 12th IEEE International Conference on Requirements Engineering in Kyoto in 2004\, and Editor of the IEEE Software’s Requirements column from 2005-2013. His details are available at https://www.city.ac.uk/people/academics/neil-maiden. \n 
URL:https://mediafutures.no/event/seminar-professor-neil-maiden-city-university-of-london/
LOCATION:Online
CATEGORIES:Events,Seminar,WP3 Media Content Production & Analysis
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/Neil-Maiden.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210422T120000
DTEND;TZID=Europe/Oslo:20210422T130000
DTSTAMP:20260406T151158
CREATED:20210406T061110Z
LAST-MODIFIED:20210430T120740Z
UID:5439-1619092800-1619096400@mediafutures.no
SUMMARY:Seminar: DeepFact: Deep Learning for Automated Fact Checking. Vinay Setty\, University of Stavanger
DESCRIPTION:Associate Professor Vinay Setty from the University of Stavanger will hold a seminar summarizing the latest updates in the topic of automated fact checking. The video recording is available below. \nWelcome to all! \nTITLE: Deep Learning for Automated Fact Checking.\nWHEN: 22 April 2021\, 12:00-13:00. \n  \n \nABSTRACT: The interest around automated fact-checking has increased as misinformation has become a major problem online. A typical pipeline for an automated fact-checking system consists of four steps: (1) detecting check-worthy claims\, (2) retrieving relevant documents\, (3) selecting most relevant snippets for the claim and (4) predicting the veracity of the claim. In this talk\, I will talk about the use of state-of-the-art deep neural networks such as LSTMs and Transformer architectures for these steps. Specifically\, how deep hierarchical attention networks can be used for predicting the veracity of the claims and how to use the attention weights to extract the evidence for the claims. In addition\, I will also talk about how to do check-worthy claim detection using Transformer models. Using several benchmarks from political debates and manual fact checking websites such as Politifact and Snopes\, we show that these models outperform strong baselines. I will also summarize the state-of-the-art research within the areas of automated fact-checking and conclude with a set of challenges and problems remaining in this area. \nBIO: Dr. Vinay Setty is an Associate Professor at the Department of Electrical Engineering and Computer Science. Before that he has been an Assistant Professor at Aalborg University in Denmark and Postdoctoral Researcher at Max Planck Institute for Informatics. Setty got is PhD from University of Oslo\, Norway. \nDr. Setty’s recent research areas mainly include information retrieval\, text and graph mining using machine learning techniques. Text mining includes dealing with unstructured text\, specifically news documents for tasks such as fake news detection\, news ranking\, news recommendation etc. Graph mining involves training network embeddings for machine learning on graphs and knowledge graphs. He has over 30 publications including several publications in highly competitive conferences in the area of data mining and Information Retrieval TheWebConf\, SIGIR\, VLDB\, CIKM and WSDM.
URL:https://mediafutures.no/event/seminar-deepfact-deep-learning-for-automated-fact-checking-vinay-setty-university-of-stavanger/
LOCATION:Online
CATEGORIES:Events,Seminar,WP3 Media Content Production & Analysis
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/Vinay-Setty.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210420T140000
DTEND;TZID=Europe/Oslo:20210420T150000
DTSTAMP:20260406T151158
CREATED:20210322T072825Z
LAST-MODIFIED:20210430T120902Z
UID:5369-1618927200-1618930800@mediafutures.no
SUMMARY:Seminar: Reflections of Ourselves - Mobile Psychological Assessment with Smartphones. Clemens Stachl\, Stanford University
DESCRIPTION:MediaFutures is pleased to announce a seminar with Clemens Stachl from Stanford University. The video recording is available below. \nWelcome to all! \nTITLE: Reflections of Ourselves – Mobile Psychological Assessment with Smartphones.\nWHEN: 20 April 2021\, 14:00-15:00. \n \nABSTRACT: The increasing digitization of our society radically changes how we use digital media\, exchange information\, and make decisions. This development also changes how social scientists collect data on human behavior and experience in the field. One new form of data comes from in-vivo high-frequency mobile sensing via smartphones. Mobile sensing allows for the investigation of formerly intangible psychological constructs with objective data. In particular mobile sensing enables fine-grained\, longitudinal data collections in the wild and at large scale. The additional combination of mobile sensing with state of the art machine learning methods\, provides a perspective for the direct prediction of psychological traits and behavioral outcomes from these data. In this talk I will give an overview on my work combining machine learning with mobile sensing and discuss the opportunities and limitations of this approach. Consequently\, I will provide an outlook perspective on where the routine use of mobile psychological sensing could take research and society alike. \nBIO: Clemens Stachl is a post-doctoral researcher specializing in research methodology\, behavioral observation and individual differences. His research includes topics in psychology\, artificial intelligence and human-computer interaction. He primarily uses digital recordings from consumer electronics together with computational modeling to investigate the connections between psychological characteristics\, states\, behavior and situational factors. Throughout his work he promotes open scientific practices.
URL:https://mediafutures.no/event/seminar-reflections-of-ourselves-mobile-psychological-assessment-with-smartphones-with-clemens-stachl-stanford-university/
LOCATION:Online
CATEGORIES:Events,Seminar,WP2 User Modeling, Personalisation & Engagement
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/Clemens-Stachl-e1625469908417.jpg
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