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X-WR-CALDESC:Events for MediaFutures
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DTSTART;TZID=Europe/Oslo:20240604T110000
DTEND;TZID=Europe/Oslo:20240604T112000
DTSTAMP:20260511T120934
CREATED:20240603T122232Z
LAST-MODIFIED:20240603T122232Z
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SUMMARY:One size fits one - accessibility through preferences
DESCRIPTION:Yngvar Nordberg\, representing TV 2 Skole AS and WP4 on Media Content Interaction & Accessibility\, will be an invited presenter at the COST LEAD-ME Seminar on “Media Accessibility in the Age of Artificial Intelligence”\, taking place on June 4\, 2024\, at the St. Raphael Resort\, Limassol\, Cyprus.\n\n \nRemote participants are welcome: \nVideo call link: https://meet.google.com/mdr-wyvp-ccm \nYngvar Nordberg\, TV 2 Skole AS and WP4\, title: \nOne size fits one – accessibility through preferences \n\nIn 1992\, all state-run special schools were closed with the exception of schools for sign language students. The ideology was that special education should take place in a classroom setting together with peers at the local school. In the compulsory primary school\, achieving a ‘school for all’\, or one that is fully inclusive\, is an important policy goal and part of the official aims behind the system of education for all children in Norway. TV 2 Schools educational web-service – elevkanalen.no – has for more than 10 years developed an API that governs a very successful preference-dashboard. Teacher set preferences on his/her pupils. Eye-gaze navigation\, one-button navigation\, two-button navigation etc.; symbol-support; background colors\, font color – It is a user-centric design backed up by national activities in Standards Norway Committee 607 and ongoing work in ISO/IEC JTC1/SC 36/WG 7 – metadata for individualized accessibility. To achieve true accessibility – AI is obviously the road ahead. Machine learning that automatically detects the users needs is already a component in our one fits one approach\, but we need more. This goes for navigation – AI-driven eye-gaze calibration AI-driven tasks like alt-text to pictures\, and captions to film for the blind; text-levels etc. We believe our activities already has a proven potential outside our own organisation in Norway and would love to present them in a Lead-Me – context. \nMore on COST LEAD-ME: \n\nLEAD-ME aims to help European stakeholders in the field of Media Accessibility to meet legal milestones requested by European legislation. Researchers\, engineers and scholars as well as businesses and policy makers will be empowered by LEAD-ME with a common and unique platform which will collect\, create\, and disseminate innovative technologies and solutions\, best practices and guidelines.\nhttps://lead-me-cost.eu/
URL:https://mediafutures.no/event/one-size-fits-one-accessibility-through-preferences/
LOCATION:Remote
CATEGORIES:Events,WP4 Media Content Interaction & Accessibility
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20240605T083000
DTEND;TZID=Europe/Oslo:20240605T173000
DTSTAMP:20260511T120934
CREATED:20240506T143914Z
LAST-MODIFIED:20240506T143953Z
UID:18190-1717576200-1717608600@mediafutures.no
SUMMARY:AI Regulation and Governance: A Cross-Jurisdictional Approach
DESCRIPTION:MediaFutures associate professor Samie Touileb is giving a keynote speech on AI technology at this conference. \nWith the EU’s Artificial Intelligence (AI) Act being adopted and various major jurisdictions deliberating AI policy at both national and international levels\, this conference provides a timely platform to navigate the myriad legal and policy issues AI presents\, from intellectual property and tort law to safety legislation. The conference contributes to shaping the discourse on the governance of artificial intelligence in Europe and beyond. \nPreliminary Programme\n08:30: Registration and Welcome Coffee \nOpening Session \n09:00: Opening Remarks (Tobias Mahler) \n09:10: Key Note: AI Technology (Samia Touileb)\n09:45: Break \nArtificial Intelligence and Intellectual Property \n(Chair: Ole-Andreas Rognstad) \n09:55: Copyright Protection of AI-Generated Outputs (Tito Rendas) \n10:30: AI and Copyright (Guro Bøe Linnet) \n11:05 Break \nDigital Constitutionalism and the AI Goveranance Discourse \n(Chair: Ingunn Ikdahl TBC) \n11:20: AI and Digital Constitutionalism (Giovanni de Gregorio) \n11:55: Rhetoric and Reality in AI Policy and Practice (Heather Broomfield) \n12:30: Lunch Break \nAI and Civil Liability \n(Chair: Johannes Hygen Meyer) \n13:30: The EU’s Proposed AI Liability Directive (Henrique Sousa Antunes) \n14:05: AI Liability and Norwegian Tort Law (Anne Marie Frøseth) \n14.40 Break \nThe EU AI Act and its Alternatives \n(Chair: Samson Esayas) \n15:00: Lessons Learned from the Drafting of the AI Act (Vera Lucia Raposo) \n15:35: Decent Law: Envisioning a Decentralized\, AI-optimized Legal Regime (Samuel Becher) \n16:10: Break \nConcluding Session \n(Chair Rebecca Schmidt) \n16:25: AI Risk in an International Context (Tobias Mahler) \n17:00 Concluding Discussion \n17:25 Closing Remarks (Henrique Sousa Antunes) \n17:30 Reception \n  \nRegistration closed\nAttendance is gratis but the conference is completely booked. You can sign up for a growing waiting list until May 26th 2024 via this online form. Stay tuned for information about web streaming! \nThe conference is organised by the UiO’s Research Group on Law and Technology and held under the aegis of the research project ‘Vulnerability in the Robot Society’ (VIROS). The VIROS project is run by the Norwegian Research Center for Computers and Law (NRCCL) in collaboration with the Robots and Intelligent Systems (ROBIN) group at the Department of Informatics\, University of Oslo. It is funded by the Research Council of Norway.
URL:https://mediafutures.no/event/ai-regulation-and-governance-a-cross-jurisdictional-approach/
LOCATION:Domus Bibliotheca\, Karl Johans gate 47\, 0162\, Oslo
CATEGORIES:Events
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DTSTART;TZID=Europe/Oslo:20240606T120000
DTEND;TZID=Europe/Oslo:20240606T130000
DTSTAMP:20260511T120935
CREATED:20240514T134153Z
LAST-MODIFIED:20240514T134153Z
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SUMMARY:Transparency\, Privacy\, and Fairness in Recommender Systems
DESCRIPTION:MediaFutures has invited Dipl.Ing. Dr.techn. Dominik Kowald from Graz\, Austria to talk about transparency\, privacy and fairness in recommender systems. He is research area manager in Fair AI at the Know-Center and senior researcher and lecturer – ISDS (TU Graz). \nRecommender systems have become a pervasive part of our daily online experience by analyzing past usage behavior to suggest potential relevant content\, e.g.\, music\, movies\, or books. Today\, recommender systems are one of the most widely used applications of artificial intelligence and machine learning. Therefore\, regulations and requirements for trustworthy artificial intelligence\, for example\, the European AI Act\, which includes notions such as transparency\, privacy\, and fairness are also highly relevant for the design\, development\, evaluation\, and deployment of recommender systems in practice. \nThis talk elaborates on aspects related to these three notions in the light of recommender systems\, namely: (i) transparency and cognitive models\, (ii) privacy and limited preference information\, and (iii) fairness and popularity bias in recommender systems. Specifically\, with respect to aspect (i)\, I highlight the usefulness of incorporating psychological theories for a transparent design process of recommender systems. Additionally\, I show that cognitive models can further contribute to transparency aspects by illustrating how the models’ components have contributed to generate the recommendation lists. In aspect (ii)\, I study and address the trade-off between accuracy and privacy in differentially-private recommendations. \nDominic Kowald presents a novel recommendation approach for collaborative filtering based on an efficient neighborhood reuse concept\, which reduces the number of users that need to be protected with differential privacy. Furthermore\, he outlines the related issue of limited availability of user preference information\, e.g.\, click data\, in the settings of session-based recommendations\, by using variational autoencoders. With respect to aspect (iii)\, he discusses popularity bias in collaborative filtering-based recommender systems and shows that the recommendation frequency of an item is positively correlated with this item’s popularity. This also leads to the unfair treatment of users with little interest in popular content\, since these users receive worse recommendation accuracy results than users with high interest in popular content. Besides\, Kowald presents results of an online study on popularity bias mitigation in the field of news article recommendations. He closes the talk by illustrating the trade-off between privacy and popularity bias in recommender systems and by outlining future research possibilities in this direction. \nAfter the talk\, Kowald will present the Know-Center\, and some of their success stories and lessons learned of applied research projects with industry partners.
URL:https://mediafutures.no/event/transparency-privacy-and-fairness-in-recommender-systems/
LOCATION:MediaFutures\, Media Futures HQ\, 3rd floor\, Bergen\, 5008
CATEGORIES:Events,WP2 User Modeling, Personalisation & Engagement
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DTSTART;TZID=Europe/Oslo:20240618T090000
DTEND;TZID=Europe/Oslo:20240618T110000
DTSTAMP:20260511T120935
CREATED:20240610T084351Z
LAST-MODIFIED:20240610T084351Z
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SUMMARY:Making sense of news audiences and their experiences: Practices and responses to news in the age of datafication
DESCRIPTION:Welcome to the Final Seminar of our Ph.D Marianne Borchgrevink-Brækhus. \nCommentator: Assistant Professor Joëlle Swart (University of Groningen). \nOn June 18th\, the Department of Information Science and Media Studies organizes a PhD Final Seminar for candidate Marianne Borchgrevink-Brækhus. The Final Seminar takes place toward the end of the PhD period\, when the candidate is a few months away from submitting their thesis. \nCommentator: Joëlle Swart\, University of Groningen. \nTitle: Making sense of news audiences and their experiences: Practices and responses to news in the age of datafication\nThis thesis explores how people relate to news as experience. I ask how news audiences’ experiences can be captured and how these experiences can help provide a more profound understanding of how people relate to news in everyday life. \nHidden practices\nWhile audiences have become increasingly central to journalistic practices and academic discussions about journalism\, the understanding of audiences’ practices and behaviors are paradoxically dominated by professional measures and quantification of user data like clicks\, time spent\, and sales rather than audiences’ own experiences with news. A central aim of this thesis is to explore hidden aspects of people’s news consumption not found in digital traces and thereby advance a phenomenologically grounded understanding of experiences that shape interactions with news. \nTo answer these questions\, I have conducted recurring interviews and media diaries with news audiences\, supplemented with video ethnography and data donations. This empirical material is analyzed through four articles. The first article explicates the overarching term ‘media experience’ as an analytical concept to capture key insights about mediated lives in digital societies. The second article zooms in on the experiences of young adults who do not pay for news and their considerations for not subscribing to digital news subscriptions. The third article critically assesses the metric of ‘time spent’ by analyzing how people navigate when reading news online and how short bursts of news use relate to meaningful experiences. Finally\, the fourth article offers a conceptualization of ‘news experience’ as an analytical lens to understand how people relate to news in everyday life\, empirically grounded in six distinct forms of news experience. \nA holistic approach\nThe thesis highlights the significance of a holistic approach to understanding people’s complex practices and behaviors. Whereas research and news professionals predominantly have made sense of people’s news use through cognitive approaches that highlight agency and intentionality\, this thesis also emphasizes experiential qualities\, which encompasses sensory\, affective\, perceptional\, technological\, and social dimension.
URL:https://mediafutures.no/event/making-sense-of-news-audiences-and-their-experiences-practices-and-responses-to-news-in-the-age-of-datafication/
LOCATION:Room 514\, Fosswinckels gate 6
CATEGORIES:Events,WP1 Understanding Media Experiences
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20240620T100000
DTEND;TZID=Europe/Oslo:20240620T113500
DTSTAMP:20260511T120935
CREATED:20240613T145942Z
LAST-MODIFIED:20240613T150153Z
UID:18954-1718877600-1718883300@mediafutures.no
SUMMARY:Addressing the Next-Poster Problem: A Hybrid Recommender System for Streaming Platforms
DESCRIPTION:09:30 Pre-discussion (attendants: Mehdi Elahi\, Benjamin Kille)  \n10:00 start explanation followed by thesis presentation (attendants: all) \nAround 10:40 Interrogation (attendants: Alvsvåg\, Mehdi Elahi\, Benjamin Kille) \nAround 11:15 Consultation between censors (attendants: Mehdi Elahi\, Benjamin Kille) \nAround 11:35: Results (attendants: all) \nTitle: Addressing the Next-Poster Problem: A Hybrid Recommender System for Streaming Platforms \nAbstract: \nRecommendation strategies in the Movie domain is varied\, but has been shown to aid users in finding content they like. On video streaming-platforms such as TV 2 Play\, the user is exposed to several different arenas where they can find something they would like to watch\, be that the landing-page of the streaming site\, or a suggestion for something more to watch after they concluded a movie or series. These are all areas where Recommender strategies can recommend something based on either the preferences of the user\, or in the case of the concluded movie or series\, something more to watch based on what they just watched. This latter aspects\, being what I refer to as the next-poster problem in this thesis\, is not a largely explored area of research\, where previous actors have simply utilized the already established Collaborative Filtering (CF) model concerned with the user’s preferences without considering what the user just watched. Here I show that a solution to the next-poster problem is to combine the CF model with a Sequence Aware approach based on Markov Chains\, finding an increase in implied user satisfaction over the baseline CF approach. Through an online evaluation on the streaming platform TV 2 Play\, I show that using a Hybrid approach to solve the next-poster problem rather than a traditional CF model leads to a lessening in user engagement such as CTR\, but an increase in the clicks resulting in a user actually watching the content\, this being our implied user satisfaction. Further as a result of this online evaluation\, I am able to show that its possible to find the best configuration for a Hybrid model based on Sequence Aware and CF approaches deployed in a real life scenario\, through offline evaluation. The results allows me to showcase the importance of considering Sequence of items when recommending for the next-poster problem\, and to show that an offline evaluation can imply results in a real world scenario\, when considering the Movie domain. Although an improvement\, this thesis also shows that there are many more avenues to consider for the next-poster problem.
URL:https://mediafutures.no/event/snorre-alsvags-master-thesis-defense/
LOCATION:Møterom 1 MCB
CATEGORIES:Events
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20240628T111500
DTEND;TZID=Europe/Oslo:20240628T120000
DTSTAMP:20260511T120935
CREATED:20240620T083020Z
LAST-MODIFIED:20240627T124936Z
UID:18978-1719573300-1719576000@mediafutures.no
SUMMARY:AI Solutions for Local Journalism Challenges: A Design Thinking Approach and Beyond
DESCRIPTION:WP3 invites to a digital seminar on AI for local journalism. Speaker is the Postdoctoral Researcher Dr Reshmi G. Pillai from Vrije University Amsterdam. \nJournalism has been transformed by technological advancements over the last two decades\, causing significant economic disruption among other challenges. The emergence of Artificial Intelligence has accelerated this paradigm shift\, presenting tremendous opportunities and equally profound challenges to news organizations worldwide. This transition poses a particular concern to regional and local media organizations\, as they are often at increased risk of being at the disadvantaged end of the technological knowledge and adoption. Local journalism\, however\, remains a vital component of democratic societies\, by voicing the issues and concerns from local communities\, and contextualizing global/national news stories\, thus engaging news audience better with collective discourses. \nOur research investigates\, in collaboration with a regional broadcaster in the Netherlands\, how AI can best enhance journalistic processes\, while maintaining the agency with the journalists. We conducted design thinking sprints with the journalists of the broadcaster\, starting by identifying the challenges within the news-making process\, and moving towards clearly defined problem statements and solution approaches. The talk also presents our further research motivated by these findings from the design thinking sprints. We outline a prototype to build a Retrieval Augmented Generation (RAG) system from information sources such as past news reports\, to provide background information for an incoming news story. Also\, addressing the problem of news content and headline optimization\, we analyse the textual features\, on a dataset of ~500k tweets\, associated with audience engagement\, for national and regional news media within the Netherlands\, as pointers for generating engaging content. \nThis research is part of the consortium project ‘Towards Responsible AI for Local Journalism’ (link here) with researchers from Vrije University Amsterdam\, University of Amsterdam\, University of Groningen (the Netherlands)\, LMU Munich (Germany)\, and University of Stavanger (Norway). \nSpeaker: Dr Reshmi G. Pillai \nMs. Pillai focuses on the adoption and implementation of artificial intelligence techniques\, specifically natural language processing in the context of local journalism. Her research interests are in analyzing text using natural language processing methods for a better understanding of behaviors and states of individuals and the society. Previously\, she was a Lecturer at the Informatics Institute\, University of Amsterdam\, assisting in the Master’s program in Information Studies (Data Science track). She holds a PhD from the University of Wolverhampton for her thesis on the expressions of psychological stress in tweets. \n\nYou can join the meeting via zoom here.
URL:https://mediafutures.no/event/ai-solutions-for-local-journalism-challenges-a-design-thinking-approach-and-beyond/
LOCATION:Online
CATEGORIES:Events,WP3 Media Content Production & Analysis
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