LEADER 06184nam 22007335 450 001 9910484353803321 005 20200703175919.0 010 $a3-319-47880-X 024 7 $a10.1007/978-3-319-47880-7 035 $a(CKB)3710000000926181 035 $a(DE-He213)978-3-319-47880-7 035 $a(MiAaPQ)EBC6285923 035 $a(MiAaPQ)EBC5592711 035 $a(Au-PeEL)EBL5592711 035 $a(OCoLC)962018419 035 $a(PPN)196323436 035 $a(EXLCZ)993710000000926181 100 $a20161022d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSocial Informatics $e8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016, Proceedings, Part I /$fedited by Emma Spiro, Yong-Yeol Ahn 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XIX, 545 p. 172 illus.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v10046 311 $a3-319-47879-6 327 $aNetworks, Communities, and Groups -- How Well Do Doodle Polls Do -- Bring on Board New Enthusiasts! A Case Study of Impact of Wikipedia Art + Feminism Editathon Events on Newcomers -- The Social Dynamics of Language Change in Online Networks -- On URL Changes and Handovers in Social Media -- CommentProfiler: Detecting trends and parasitic behaviors in online comments -- On Profiling Bots in Social Media -- A Diffusion Model for Maximizing Influence Spread in Large Networks -- Lightweight Interactions for Reciprocal Cooperation in a Social Network Game -- Continuous Recipe Selection Model based on Cooking History -- Politics, News, and Events -- Examining Community Policing on Twitter: Precinct Use and Community Response -- The Dynamics of Group Risk Perception in the US After Paris Attacks -- Determining the veracity of rumours on Twitter -- PicHunt: Social Media Image Retrieval for Improved Law Enforcement -- TwitterNews+: A Framework for Real Time Event Detection from the Twitter Data Stream -- Uncovering Topic Dynamics of Social Media and News: the Case of Ferguson -- Identifying Partisan Slant in News Articles and Twitter during Political Crises -- Predicting Poll Trends using Twitter and Multivariate Timeseries Classification -- Inferring Population Preferences via Mixtures of Spatial Voting Models -- Contrasting Public Opinion Dynamics and Emotional Response during Crisis -- Social Politics: Agenda Setting and Political Communication on Social Media -- Markets, Crowds, and Consumers -- Preference Aware Successive POI Recommendation With Spatial and Temporal Influence -- User Recommendation in Event based Social Networks -- An Effective Approach to Finding a Context Path in Review Texts Using Pathfinder Scaling -- How to find accessible Free WiFi at Tourist Spots in Japan -- Privacy, Health and Wellbeing -- Mobile Communication Signatures of Unemployment -- Identifying Stereotypes in the Online Perception of Physical Attractiveness -- What Makes A Good Professor? An Analysis of Students' Evaluations across Institutions, Disciplines, and Cultures -- Detecting Coping Style from Twitter -- User Privacy Concerns with Common Data Used in Recommender Systems -- How a user's personality influences content engagement in social media -- Semisupervised knowledge extraction for detection of drugs and their effects -- Using Social Media to Measure Student Wellbeing: A LargeScale Study of Emotional Response in Academic Discourse -- EmojiNet: Building a Machine Readable Sense Inventory for Emoji. 330 $aThe two-volume set LNCS 10046 and 10047 constitutes the proceedings of the 8th International Conference on Social Informatics, SocInfo 2016, held in Bellevue, WA, USA, in November 2016. The 36 full papers and 39 poster papers presented in this volume were carefully reviewed and selected from 120 submissions. They are organized in topical sections named: networks, communities, and groups; politics, news, and events; markets, crowds, and consumers; and privacy, health, and well-being. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v10046 606 $aInformation storage and retrieval 606 $aArtificial intelligence 606 $aApplication software 606 $aData mining 606 $aUser interfaces (Computer systems) 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 615 0$aInformation storage and retrieval. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aData mining. 615 0$aUser interfaces (Computer systems). 615 14$aInformation Storage and Retrieval. 615 24$aArtificial Intelligence. 615 24$aComputer Appl. in Social and Behavioral Sciences. 615 24$aData Mining and Knowledge Discovery. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aInformation Systems Applications (incl. Internet). 676 $a303.4833 702 $aSpiro$b Emma$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAhn$b Yong-Yeol$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484353803321 996 $aSocial Informatics$91918859 997 $aUNINA