Negative emotions boost user activity at BBC forum

We present an empirical study of user activity in online BBC discussion forums, measured by the number of posts written by individual debaters and the average sentiment of these posts. Nearly 2.5 million posts from over 18 thousand users were investigated. Scale-free distributions were observed for activity in individual discussion threads as well as for overall activity. The number of unique users in a thread normalized by the thread length decays with thread length, suggesting that thread life is sustained by mutual discussions rather than by independent comments. Automatic sentiment analysis shows that most posts contain negative emotions and the most active users in individual threads express predominantly negative sentiments. It follows that the average emotion of longer threads is more negative and that threads can be sustained by negative comments. An agent-based computer simulation model has been used to reproduce several essential characteristics of the analyzed system. The model stresses the role of discussions between users, especially emotionally laden quarrels between supporters of opposite opinions, and represents many observed statistics of the forum.

[1]  Anna Chmiel,et al.  Scaling of human behavior during portal browsing. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  B. Tadić,et al.  Networks and emotion-driven user communities at popular blogs , 2010 .

[3]  Zizi Papacharissi,et al.  Democracy online: civility, politeness, and the democratic potential of online political discussion groups , 2004, New Media Soc..

[4]  Bruno Gonçalves,et al.  Human dynamics revealed through Web analytics , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  Antony S R Manstead,et al.  Anger and social appraisal: a "spicy" sex difference? , 2005, Emotion.

[6]  Wiley Interscience Journal of the American Society for Information Science and Technology , 2013 .

[7]  S. Kiesler,et al.  Group processes in computer-mediated communication☆ , 1986 .

[8]  V. Serfaty,et al.  FORMS AND FUNCTIONS OF CONFLICT IN ONLINE COMMUNITIES , 2002 .

[9]  Rafael E. Banchs,et al.  Emotional Reactions and the Pulse of Public Opinion: Measuring the Impact of Political Events on the Sentiment of Online Discussions , 2010, ArXiv.

[10]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[11]  P. Sobkowicz,et al.  Dynamics of hate based Internet user networks , 2010 .

[12]  Daantje Derks,et al.  The role of emotion in computer-mediated communication: A review , 2008, Comput. Hum. Behav..

[13]  Filippo Radicchi Human Activity in the Web , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  Santo Fortunato,et al.  Characterizing and modeling the dynamics of online popularity , 2010, Physical review letters.

[15]  Frank Schweitzer,et al.  An agent-based model of collective emotions in online communities , 2010, ArXiv.

[16]  Craig MacDonald,et al.  On the TREC Blog Track , 2021, ICWSM.

[17]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[18]  Janusz A. Holyst,et al.  Flow of emotional messages in artificial social networks , 2010, 1004.4103.

[19]  Albert-László Barabási,et al.  The origin of bursts and heavy tails in human dynamics , 2005, Nature.

[20]  R. Rosenfeld Nature , 2009, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[21]  Fay Sudweeks,et al.  Networked Interactivity , 1997, J. Comput. Mediat. Commun..

[22]  Bosiljka Tadic,et al.  Bloggers behavior and emergent communities in Blog space , 2009, ArXiv.

[23]  Rudy Prabowo,et al.  Sentiment analysis: A combined approach , 2009, J. Informetrics.

[24]  Yun Liu,et al.  Modeling opinion interactions in a BBS community , 2010 .

[25]  Matthew J. Kushin,et al.  Getting Political on Social Network Sites: Exploring Online Political Discourse on Facebook , 2009, First Monday.

[26]  Albert-László Barabási,et al.  Modeling bursts and heavy tails in human dynamics , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  Mike Thelwall,et al.  Data mining emotion in social network communication: Gender differences in MySpace , 2010, J. Assoc. Inf. Sci. Technol..

[28]  Huberman,et al.  Strong regularities in world wide web surfing , 1998, Science.

[29]  A. Barabasi,et al.  Dynamics of information access on the web. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[30]  Dale Schuurmans,et al.  Language and Task Independent Text Categorization with Simple Language Models , 2003, NAACL.

[31]  B Kahng,et al.  Priority queues with bursty arrivals of incoming tasks. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[32]  Iadh Ounis,et al.  Overview of the TREC 2008 Blog Track , 2008, TREC.

[33]  G J Rodgers,et al.  Growing trees in internet news groups and forums. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[34]  Michael Szell,et al.  Multirelational organization of large-scale social networks in an online world , 2010, Proceedings of the National Academy of Sciences.

[35]  Janusz A. Holyst,et al.  Emotional agents at the square lattice , 2010 .