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Titlebook: Social Informatics; 12th International C Samin Aref,Kalina Bontcheva,Dino Pedreschi Conference proceedings 2020 Springer Nature Switzerland

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The Determinants of Social Connectedness in Europe,s strongly in geographic distance and at country borders. Historical borders and unions—such as the Austro-Hungarian Empire, Czechoslovakia, and East/West Germany—shape present-day social connectedness over and above today’s political boundaries and other controls. All else equal, social connectedne
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Co-spread of Misinformation and Fact-Checking Content During the Covid-19 Pandemic,s are important for injecting reliable information about the outbreak. Fact-checking organisations produce content with the aim of reducing misinformation spread, but our knowledge of its impact on misinformation is limited. In this paper, we explore the relation between misinformation and fact-chec
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,It’s Not Just About Sad Songs: The Effect of Depression on Posting Lyrics and Quotes,t reflect their own emotions. In this paper, we examine whether the mood of quotes posted on Facebook is affected by underlying symptoms of depression. We extracted quotes and song lyrics from the feeds of 781 Facebook users from the MyPersonality database who had also completed the CES-D depression
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Understanding the , Movement Through the Lens of the Twitter,that aims to show the magnitude of this stigmatized issue in society. In particular, on ., which is the focus of this study, has attracted a large number of tweets from all over the world regarding the . movement. The studies of the . movement focus on the SH and sexual assault (SA) incidents but fa
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Identifying the Hierarchical Influence Structure Behind Smart Sanctions Using Network Analysis,rgeted entities through financial asset freezing, embargoes, and travel restrictions. The relationships between the issuer and the targeted entities in such lists reflect what kind of entities the issuer intends to be against. Thus, analyzing the similarities of sets of targeted entities created by
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Coverage and Evolution of Cancer and Its Risk Factors - A Quantitative Study with Social Signals anthe advancement in Social Signal Processing, Social Informatics & Computing, and big data mining techniques, we can use this information in the health domain to determine the trend in the spread of symptoms and risk factors of diseases temporally. In this paper, our primary focus is to study coverag
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