Too Small to Fail: Information Sharing Behavior in a US Municipal Election

Proximal communities in democratic societies comprise citizens, organizations, and governmental agencies, working together to identify and evaluate problems and opportunities in the public interest, build consensus around alternative approaches and solutions, and implement agreed upon policies. Communication and information sharing is critical to performing this collective work that involves not only face-to-face communication, but diverse media and technology whether offline (i.e., broadcast and print media) or online. We used topic modeling, social graphing and sentiment analysis to analyze information sharing behavior among individuals and organizations related to a geographic community and environs during municipal and state assembly elections in 2015. We investigate tweets, and Facebook posts and comments related to these elections as evidence for information sharing at the local level and/or of content relevant to the local community. Our findings suggest that the abundance of elections-relevant topics indicates that Twitter and FB were actively used for information sharing. The greater trust in local as opposed to non-local content and sources established in prior studies is consistent with our community level data in which sentiment expressed in our data is predominantly neutral. We argue that the greater trust in local as opposed to national sources of news, and in social media based on local social networks makes community-level groups and information sharing self-correcting and resilient, and thus, too small to fail.

[1]  P. Lazarsfeld,et al.  6. Katz, E. Personal Influence: The Part Played by People in the Flow of Mass Communications , 1956 .

[2]  Kenneth E. Shirley,et al.  LDAvis: A method for visualizing and interpreting topics , 2014 .

[3]  Patricia Moy,et al.  Predicting Deliberative Conversation: The Impact of Discussion Networks, Media Use, and Political Cognitions , 2006 .

[4]  Frank Harary,et al.  Graph Theory , 2016 .

[5]  D. Mladenović,et al.  Social media in use , 2021, Management.

[6]  J. Berry.  The Influentials: One American in Ten Tells the Other Nine How to Vote, Where to Eat, and What to Buy , 2003 .

[7]  A. Weil,et al.  Diffusion of Innovation , 2020, The International Encyclopedia of Media Psychology.

[8]  Andrea L. Kavanaugh.  Blacksburg Electronic Village , 2012 .

[9]  Joseph Turow,et al.  When Everyone's Wired: Use of the Internet in Networked Communities , 2003 .

[10]  P. Lazarsfeld,et al.  Personal Influence: The Part Played by People in the Flow of Mass Communications , 1956 .

[11]  A. Anderson.  Social Media Use in 2018 , 2018 .

[12]  J. Flaskerud.  Civic Culture , 2008, Issues in mental health nursing.

[13]  Danah Boyd,et al.  Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[14]  David M. Blei,et al.  Probabilistic topic models , 2012, Commun. ACM.

[15]  A. Chadwick.  Internet Politics: States, Citizens, and New Communication Technologies , 2006 .

[16]  Edward A. Fox,et al.  Social media use by government: From the routine to the critical , 2012, Gov. Inf. Q..

[17]  Elihu Katz,et al.  News, Talk, Opinion, Participation: The Part Played by Conversation in Deliberative Democracy , 1999 .

[18]  Edward A. Fox,et al.  A Hybrid Model for Role-related User Classification on Twitter , 2018, ArXiv.

[19]  M. Janowitz,et al.  Community Attachment in Mass Society , 1974 .

[20]  Barry Wellman,et al.  The Social Affordances of the Internet for Networked Individualism , 2006, J. Comput. Mediat. Commun..

[21]  S. Verba,et al.  The Civic Culture: Political Attitudes and Democracy in Five Nations , 1964 .

[22]  Andrea L. Kavanaugh,et al.  Community Networks--Lessons from Blacksburg, Virginia , 1997 .

[23]  S. Verba,et al.  The Civic Culture: Political Attitudes and Democracy in Five Nations, An Analytic Study , 1964 .

[24]  S. D. Berkowitz,et al.  Social Structures: A Network Approach , 1989 .

[25]  C. Elkan,et al.  Topic Models , 2008 .

[26]  Peter M. Shane,et al.  Democracy Online: The Prospects for Political Renewal Through the Internet , 2004 .

[27]  R. Dahl,et al.  Democracy and Its Critics , 1990 .

[28]  Jeffrey Heer,et al.  Termite: visualization techniques for assessing textual topic models , 2012, AVI.

[29]  Keith N. Hampton,et al.  Does the Internet Increase, Decrease, or Supplement Social Capital? , 2001 .

[30]  Henry E. Brady,et al.  The Internet and Civic Engagement , 2009 .

[31]  Ban Al-Ani,et al.  The Egyptian blogosphere: a counter-narrative of the revolution , 2012, CSCW.

[32]  Homero Gil de Zúñiga,et al.  Social Media Use for News and Individuals' Social Capital, Civic Engagement and Political Participation , 2012, J. Comput. Mediat. Commun..