Understanding the majority opinion formation process in online environments: An exploratory approach to Facebook

Abstract Majority opinions are often observed in the process of social interaction in online communities, but few studies have addressed this issue with empirical data. To identify an appropriate theoretical lens for explaining majority opinions in online environments, this study investigates the skewness statistic, which indicates how many “Likes” are skewed to major comments on a Facebook post; 3489 posts are gathered from the New York Times Facebook page for 100 days. Results show that time is not an influential factor for skewness increase, but the number of comments has a logarithmic relation to skewness increase. Regression models and Chow tests show that this relationship differs depending on topic contents, but majority opinions are significant in overall. These results suggest that the bandwagon effect due to social affordance can be a suitable mechanism for explaining majority opinion formation in an online environment and that majority opinions in online communities can be misperceived due to overestimation.

[1]  Michalis Faloutsos,et al.  TrollSpot: Detecting misbehavior in commenting platforms , 2017, ASONAM.

[2]  Michal Karpowicz,et al.  Reprint of: Computational approaches for mining user's opinions on the Web 2.0 , 2015, Inf. Process. Manag..

[3]  Wendy W. Moe,et al.  Measuring the Value of Social Dynamics in Online Product Ratings Forums , 2010 .

[4]  S. Shyam Sundar,et al.  Authority vs. peer: how interface cues influence users , 2009, CHI Extended Abstracts.

[5]  Ke Xu,et al.  Video requests from Online Social Networks: Characterization, analysis and generation , 2013, 2013 Proceedings IEEE INFOCOM.

[6]  S. Stavros Valenti,et al.  Social Affordances and Interaction I: Introduction , 1991 .

[7]  Richard C. Schmidt,et al.  Scaffolds for Social Meaning , 2007 .

[8]  Alice Mado Proverbio,et al.  250ms to code for action affordance during observation of manipulable objects , 2011, Neuropsychologia.

[9]  A. Chemero Self-Organization, Writ Large , 2008 .

[10]  J. Gibson The Ecological Approach to Visual Perception , 1979 .

[11]  Paul A. Kirschner,et al.  The social affordances of computer-supported collaborative learning environments , 2001, 31st Annual Frontiers in Education Conference. Impact on Engineering and Science Education. Conference Proceedings (Cat. No.01CH37193).

[12]  Katarzyna Sznajd-Weron,et al.  Opinion evolution in closed community , 2000, cond-mat/0101130.

[13]  A. Cangelosi,et al.  Electrophysiological Examination of Embodiment in Vision and Action , 2012, Psychological science.

[14]  Kristina Lerman,et al.  The "Majority Illusion" in Social Networks , 2015, PloS one.

[15]  Sean J. Taylor,et al.  Social Influence Bias: A Randomized Experiment , 2013, Science.

[16]  R. Holley,et al.  Ergodic Theorems for Weakly Interacting Infinite Systems and the Voter Model , 1975 .

[17]  Rainer Hegselmann,et al.  Opinion dynamics and bounded confidence: models, analysis and simulation , 2002, J. Artif. Soc. Soc. Simul..

[18]  Hsi-Peng Lu,et al.  Why people use social networking sites: An empirical study integrating network externalities and motivation theory , 2011, Comput. Hum. Behav..

[19]  J. Bargh,et al.  Automaticity of social behavior: direct effects of trait construct and stereotype-activation on action. , 1996, Journal of personality and social psychology.

[20]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..

[21]  Guillaume Deffuant,et al.  Mixing beliefs among interacting agents , 2000, Adv. Complex Syst..

[22]  K. Yarrow,et al.  Viewing objects and planning actions: On the potentiation of grasping behaviours by visual objects , 2011, Brain and Cognition.

[23]  M. Baldassare,et al.  USING THE “L-WORD” IN PUBLIC: A TEST OF THE SPIRAL OF SILENCE IN CONSERVATIVE ORANGE COUNTY, CALIFORNIA , 1992 .

[24]  Damon Centola,et al.  The Spread of Behavior in an Online Social Network Experiment , 2010, Science.

[25]  S. Galam Minority opinion spreading in random geometry , 2002, cond-mat/0203553.

[26]  Michal Karpowicz,et al.  Opinion Mining on the Web 2.0 - Characteristics of User Generated Content and Their Impacts , 2013, CHI-KDD.

[27]  Jörg Matthes Observing the “Spiral” in the Spiral of Silence , 2015 .

[28]  R. Nadeau,et al.  New Evidence About the Existence of a Bandwagon Effect in the Opinion Formation Process , 1993 .

[29]  G. Chow Tests of equality between sets of coefficients in two linear regressions (econometrics voi 28 , 1960 .

[30]  Christopher M. Miller,et al.  Toward Formalizing Fashion Theory , 1993 .

[31]  Reuben M. Baron,et al.  An ecological perspective on integrating personality and social psychology. , 1987 .

[32]  A. Hermida,et al.  SHARE, LIKE, RECOMMEND , 2012 .

[33]  M. Gentilucci,et al.  Social Requests and Social Affordances: How They Affect the Kinematics of Motor Sequences during Interactions between Conspecifics , 2011, PloS one.

[34]  Cliff Lampe,et al.  Cultivating Social Resources on Social Network Sites: Facebook Relationship Maintenance Behaviors and Their Role in Social Capital Processes , 2014, J. Comput. Mediat. Commun..

[35]  Christopher J. Berry The Idea of Luxury: The de-moralisation of luxury , 1994 .

[36]  Tsun Ku,et al.  Mining the user clusters on Facebook fan pages based on topic and sentiment analysis , 2014, Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014).

[37]  L. Johnson,et al.  A Review and a Conceptual Framework of Prestige-Seeking Consumer Behavior , 1999 .

[38]  Josef Steinberger,et al.  Reprint of "Supervised sentiment analysis in Czech social media" , 2015, Inf. Process. Manag..

[39]  Alicia de la Peña,et al.  Share, like and achieve: The power of facebook to reach health related goals , 2015 .

[40]  David Godes,et al.  Sequential and Temporal Dynamics of Online Opinion , 2012, Mark. Sci..

[41]  Heng-Li Yang,et al.  Determinants of individuals’ self-disclosure and instant information sharing behavior in micro-blogging , 2015, New Media Soc..

[42]  Andrew Skalaban,et al.  Do the polls affect elections? Some 1980 evidence , 1988 .

[43]  Balaji Vasan Srinivasan,et al.  Community reaction: from blogs to Facebook , 2015, CoDS '15.

[44]  Michael J. Richardson,et al.  Contrasting Approaches to Perceiving and Acting With Others , 2006 .

[45]  Pawel Sobkowicz,et al.  Modelling Opinion Formation with Physics Tools: Call for Closer Link with Reality , 2009, J. Artif. Soc. Soc. Simul..

[46]  Sun Joo Grace Ahn,et al.  Explicating the ‘like’ on Facebook brand pages: The effect of intensity of Facebook use, number of overall ‘likes’, and number of friends' ‘likes’ on consumers' brand outcomes , 2016 .

[47]  David A. Schweidel,et al.  Online Product Opinions: Incidence, Evaluation, and Evolution , 2012, Mark. Sci..

[48]  Animesh Mukherjee,et al.  Understanding How Dominance Affects the Emergence of Agreement in a Social Network: The Case of Naming Game , 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.

[49]  Lindsay T. Graham,et al.  A Review of Facebook Research in the Social Sciences , 2012, Perspectives on psychological science : a journal of the Association for Psychological Science.

[50]  Wen-Bin Chiou,et al.  Does Facebook Promote Self-Interest? Enactment of Indiscriminate One-to-Many Communication on Online Social Networking Sites Decreases Prosocial Behavior , 2014, Cyberpsychology Behav. Soc. Netw..

[51]  Douglas J. Ahler Self-Fulfilling Misperceptions of Public Polarization , 2014, The Journal of Politics.

[52]  Yong Tan,et al.  Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings , 2014, Manag. Sci..

[53]  Jane B. Singer,et al.  Participatory Journalism - Guarding Open Gates at Online Newspapers , 2011 .

[54]  D. Joanes,et al.  Comparing measures of sample skewness and kurtosis , 1998 .

[55]  N. Ellison,et al.  Social capital, self-esteem, and use of online social network sites: A longitudinal analysis , 2008 .

[56]  Bhasker Pant,et al.  Opinion extraction and classification of real time Facebook Status , 2012 .

[57]  Fernando R. Jiménez,et al.  Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products , 2013 .

[58]  Xiang Li,et al.  Mean-variance-skewness model for portfolio selection with fuzzy returns , 2010, Eur. J. Oper. Res..

[59]  Fan-Chuan Tseng,et al.  A Study of Social Information Control Affordances and Gender Difference in Facebook Self-Presentation , 2013, Cyberpsychology Behav. Soc. Netw..

[60]  Panayiotis Tsaparas,et al.  Temporal mechanisms of polarization in online reviews , 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

[61]  Pablo Jensen,et al.  Fill in the Gap: A New Alliance for Social and Natural Sciences , 2015, J. Artif. Soc. Soc. Simul..

[62]  H. Leibenstein Bandwagon, Snob, and Veblen Effects in the Theory of Consumers' Demand , 1950 .

[63]  David Rothschild,et al.  Are public opinion polls self-fulfilling prophecies? , 2014 .

[64]  A. Chemero An Outline of a Theory of Affordances , 2003, How Shall Affordances be Refined? Four Perspectives.