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X-WR-CALNAME:MediaFutures
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X-WR-CALDESC:Events for MediaFutures
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20211126T120000
DTEND;TZID=Europe/Oslo:20211126T130000
DTSTAMP:20260416T014913
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20211015T120000
DTEND;TZID=Europe/Oslo:20211015T130000
DTSTAMP:20260416T014914
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210924T110000
DTEND;TZID=Europe/Oslo:20210924T120000
DTSTAMP:20260416T014914
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210504T121500
DTEND;TZID=Europe/Oslo:20210504T130000
DTSTAMP:20260416T014914
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:20260416T014914
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:20210311T130000
DTEND;TZID=Europe/Oslo:20210311T140000
DTSTAMP:20260416T014914
CREATED:20210322T085110Z
LAST-MODIFIED:20210326T115828Z
UID:5378-1615467600-1615471200@mediafutures.no
SUMMARY:Seminar: Multimedia Verification\, with Duc Tien Dang Nguyen\, UiB
DESCRIPTION:MediaFutures is pleased to announce a seminar with Duc Tien Dang Nguyen from the University of Bergen. \nWelcome to all! \nTITLE: Multimedia Verification – An overview on technologies and services for the detection of multimedia-based disinformation in the era of deep networks.\nWHEN: 11 March 2021\, 12:00-13:00. \nABSTRACT: In this seminar\, Duc Tien Dang Nguyen will give a broad overview of how researchers seek to advance methods that detect and reveal modified and manipulated images and videos\, and building up trust in online media based on advanced multimedia verification algorithms. He will also give discussions on how AI can be used and misused in the era of deep networks. \nThese main topics will be discussed within the seminar:\n– Image manipulation detection\n– Deepfake generation and detection\n– Social multimedia verification\n– The limits of current forensic tools \nBIO: Dr. Duc Tien Dang Nguyen is an Associate Professor of Information Science. His area of expertise is on multimedia forensics\, lifelogging and multimedia retrieval. Duc Tien is the author and co-author of more than a hundred peer-reviewed research papers that have been cited over a thousand times. He has been PC member at a number of conferences\, co-organizer of both the Multimedia Verification\, the NTCIR Lifelog Task and the ImageClef Lifelog tasks\, and co-organizer of over ten other MediaEval tasks. He is also to be the incoming General Chair of MMM 2023.
URL:https://mediafutures.no/event/seminar-multimedia-verification-with-duc-tien-dang-nguyen-uib/
LOCATION:Online
CATEGORIES:Events,Seminar,WP3 Media Content Production & Analysis
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/2020/11/Duc_Tien_Dang_Nguyen-e1625470025902.jpg
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