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DTSTART;TZID=Europe/Oslo:20210416T090000
DTEND;TZID=Europe/Oslo:20210416T100000
DTSTAMP:20260424T082300
CREATED:20210322T071418Z
LAST-MODIFIED:20210430T084920Z
UID:5367-1618563600-1618567200@mediafutures.no
SUMMARY:Seminar: Are Filter Bubbles Real? Axel Bruns\, QUT
DESCRIPTION:MediaFutures is pleased to announce a seminar with Axel Bruns from Queensland University of Technology (QUT). The video recording is available below. \nWelcome to all! \nTITLE: Are Filter Bubbles Real?\nWHEN: 16 April 2021\, 09:00-10:00. \n \nABSTRACT: The success of political movements that appear to be immune to any factual evidence that contradicts their claims – from the Brexiteers to the ‘alt-right’\, neo-fascist groups supporting Donald Trump – has reinvigorated claims that social media spaces constitute so-called ‘filter bubbles’ or ‘echo chambers’. But while such claims may appear intuitively true to politicians and journalists – who have themselves been accused of living in filter bubbles –\, the evidence that ordinary users experience their everyday social media environments as uniform and homophilous spaces is far more limited. For instance\, a 2016 Pew Center study has shown that only 23% of U.S. users on Facebook and 17% on Twitter now say with confidence that most of their contacts’ views are similar to their own. 20% have changed their minds about a political or social issue because of interactions on social media. Similarly\, large-scale studies of follower and interaction networks on social media show that such networks are often thoroughly interconnected and facilitate the flow of information across boundaries of personal ideology and interest\, except for a few especially hardcore partisan communities. This talk explores the evidence for and against echo chambers and filter bubbles. It moves the present debate beyond a merely anecdotal footing\, and offers a more reliable assessment of this purported threat. \nBIO: Prof. Axel Bruns is a Professor in the Digital Media Research Centre at Queensland University of Technology in Brisbane\, Australia\, and a Chief Investigator in the ARC Centre of Excellence for Automated Decision-Making and Society. His books include Are Filter Bubbles Real? (2019) and Gatewatching and News Curation: Journalism\, Social Media\, and the Public Sphere (2018)\, and the edited collections Digitizing Democracy (2019)\, the Routledge Companion to Social Media and Politics (2016)\, and Twitter and Society (2014). His current work focusses on the study of user participation in social media spaces such as Twitter\, and its implications for our understanding of the contemporary public sphere\, drawing especially on innovative new methods for analysing ‘big social data’. He served as President of the Association of Internet Researchers in 2017–19. His research blog is at https://snurb.info/\, and he tweets at @snurb_dot_info.
URL:https://mediafutures.no/event/seminar-axel-bruns-queensland-university-of-technology-qut/
LOCATION:Online
CATEGORIES:Events,Seminar,WP1 Understanding Media Experiences
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/axel-bruns_50585751867_o-scaled-e1625470118224.jpg
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DTSTART;TZID=Europe/Oslo:20210420T140000
DTEND;TZID=Europe/Oslo:20210420T150000
DTSTAMP:20260424T082300
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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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210422T120000
DTEND;TZID=Europe/Oslo:20210422T130000
DTSTAMP:20260424T082300
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
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