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Political Hashtags & the Lost Art of Democratic Discourse

Published: 23 April 2020 Publication History

Abstract

In this work, we investigate whether and how the presence of political hashtags in social media news articles influences the way people discuss news content. Specifically, we examine how political hashtags in news posts act as a design characteristic that affects the quality of online discourse. We use a randomized control experiment to assess how the presence versus absence of political hashtags (particularly the most prevalently used #MeToo and #BlackLivesMatter) in social media news posts shapes discourse across a general audience (n=3205). Key findings show differences in topical focus, emotional tone of discourse, and rhetorical styles between commenters who were shown news posts with political hashtags versus those shown news posts without the hashtags. Compared to the control group, those shown hashtagged news posts heavily focus on the politics of the hashtag, use more words associated with fear, anger, and disgust in their comments, and exhibit black-and-white rhetoric and less emotionally temperate expressions in their arguments.

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[1]
Anderson, M. 2016. History of the hashtag #BlackLivesMatter: Social activism on Twitter.
[2]
Baumeister, R.F., Bratslavsky, E., Finkenauer, C. and Vohs, K.D. 2001. Bad is stronger than good. Review of general psychology. 5, 4 (2001), 323.
[3]
Berger, E. 2014. The Rhetoric of Constitutional Absolutism. William & Mary Law Review. 56, (2015 2014), 667.
[4]
Biber, D., Douglas, B., Conrad, S. and Reppen, R. 1998. Corpus linguistics: Investigating language structure and use. Cambridge University Press.
[5]
Bonilla, Y. and Rosa, J. 2015. # Ferguson: Digital protest, hashtag ethnography, and the racial politics of social media in the United States. American Ethnologist. 42, 1 (2015), 4--17.
[6]
Booten, K. 2016. Hashtag Drift: Tracing the Evolving Uses of Political Hashtags Over Time. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (New York, NY, USA, 2016), 2401--2405.
[7]
Cavazza, N. and Guidetti, M. 2014. Swearing in Political Discourse: Why Vulgarity Works. Journal of Language and Social Psychology. 33, 5 (Oct. 2014), 537--547.
[8]
Chokshi, N. 2016. How #BlackLivesMatter Came to Define a Movement. The New York Times.
[9]
Church, K.W. and Hanks, P. 1990. Word Association Norms, Mutual Information, and Lexicography. Comput. Linguist. 16, 1 (Mar. 1990), 22--29.
[10]
Cunha, E., Magno, G., Gonçalves, M.A., Cambraia, C. and Almeida, V. 2014. He Votes or She Votes? Female and Male Discursive Strategies in Twitter Political Hashtags. PLOS ONE. 9, 1 (Jan. 2014), e87041.
[11]
Davies, T. and Gangadharan, S.P. 2009. Online Deliberation: Design, Research, and Practice. Center for the Study of Language and Information.
[12]
Diakopoulos, N. and Naaman, M. 2011. Towards Quality Discourse in Online News Comments. Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work (New York, NY, USA, 2011), 133--142.
[13]
Ditman, T., Brunyé, T.T., Mahoney, C.R. and Taylor, H.A. 2010. Simulating an enactment effect: Pronouns guide action simulation during narrative comprehension. Cognition. 115, 1 (2010), 172--178.
[14]
Esau, K., Friess, D. and Eilders, C. 2017. Design Matters! An Empirical Analysis of Online Deliberation on Different News Platforms. Policy & Internet. 9, 3 (2017), 321--342.
[15]
Friess, D. and Eilders, C. 2015. A Systematic Review of Online Deliberation Research: A Review of Online Deliberation Research. Policy & Internet. 7, 3 (Sep. 2015), 319--339.
[16]
Gee, J.P. 2014. An Introduction to Discourse Analysis: Theory and Method. Routledge.
[17]
Glenski, M. and Weninger, T. 2017. Rating Effects on Social News Posts and Comments. ACM Trans. Intell. Syst. Technol. 8, 6 (Jul. 2017), 78:1--78:19.
[18]
Graham, T. and Witschge, T. 2003. In Search of Online Deliberation: Towards a New Method for Examining the Quality of Online Discussions. The European Journal of Communication Research. 28, 2 (2003), 173--204.
[19]
Habermas, J. 2015. The Structural Transformation of the Public Sphere: An Inquiry Into a Category of Bourgeois Society. John Wiley & Sons.
[20]
Hanrahan, M., Melander, I. and Connan, A. 2017. #MeToo: Sexual harassment stories sweep social media after... Reuters.
[21]
Hartung, F., Burke, M., Hagoort, P. and Willems, R.M. 2016. Taking Perspective: Personal Pronouns Affect Experiential Aspects of Literary Reading. PLOS ONE. 11, 5 (May 2016), e0154732.
[22]
Horowitz, J.M. and Livingston, G. 2016. How Americans view the Black Lives Matter movement. Pew Research Center.
[23]
Huddy, L., Mason, L. and Aarøe, L. 2015. Expressive Partisanship: Campaign Involvement, Political Emotion, and Partisan Identity. American Political Science Review. 109, 1 (Feb. 2015), 1--17.
[24]
Kalmoe, N.P. 2014. Fueling the Fire: Violent Metaphors, Trait Aggression, and Support for Political Violence. Political Communication. 31, 4 (Oct. 2014), 545--563.
[25]
Kitzie, V. and Ghosh, D. 2015. #Criming and #Alive: Network and Content Analysis of Two Sides of a Story on Twitter. Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the Community (Silver Springs, MD, USA, 2015), 41:1--41:10.
[26]
Koh, Y.J. and Sundar, S.S. 2010. Heuristic versus systematic processing of specialist versus generalist sources in online media. Human Communication Research. 36, 2 (2010), 103--124.
[27]
Lee, E.-J. 2012. That's Not the Way It Is: How UserGenerated Comments on the News Affect Perceived Media Bias. Journal of Computer-Mediated Communication. 18, 1 (Oct. 2012), 32--45.
[28]
Lin, Y.-R., Margolin, D., Keegan, B., Baronchelli, A. and Lazer, D. 2013. #Bigbirds Never Die: Understanding Social Dynamics of Emergent Hashtag. arXiv:1303.7144 [physics]. (Mar. 2013).
[29]
Loza, S. Hashtag Feminism, #SolidarityIsForWhiteWomen, and the Other #FemFuture. Ada: A Journal of Gender, New Media, and Technology. 5.
[30]
Malone, T. 2014. The authentic I: authenticity in first-person narrative journalism. University of Missouri--Columbia.
[31]
Manning, C.D. and Schütze, H. 1999. Foundations of Statistical Natural Language Processing. MIT Press.
[32]
Marietta, M., Farley, T., Cote, T. and Murphy, P. 2017. The Rhetorical Psychology of Trumpism: Threat, Absolutism, and the Absolutist Threat. The Forum (2017), 313--332.
[33]
Michie, L., Balaam, M., McCarthy, J., Osadchiy, T. and Morrissey, K. 2018. From Her Story, to Our Story: Digital Storytelling as Public Engagement around Abortion Rights Advocacy in Ireland. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18 (Montreal QC, Canada, 2018), 1--15.
[34]
Min, S.-J. 2007. Online vs. Face-to-Face Deliberation: Effects on Civic Engagement. Journal of Computer-Mediated Communication. 12, 4 (2007), 1369--1387.
[35]
Otsuka, E., Wallace, S.A. and Chiu, D. 2014. Design and Evaluation of a Twitter Hashtag Recommendation System. Proceedings of the 18th International Database Engineering & Applications Symposium (New York, NY, USA, 2014), 330--333.
[36]
Papacharissi, Z. 2004. Democracy online: civility, politeness, and the democratic potential of online political discussion groups. New Media & Society. 6, 2 (Apr. 2004), 259--283.
[37]
Papacharissi, Z. and de Fatima Oliveira, M. 2012. Affective news and networked publics: The rhythms of news storytelling on# Egypt. Journal of Communication. 62, 2 (2012), 266--282.
[38]
Papeo, L., Corradi-Dell'Acqua, C. and Rumiati, R.I. 2011. "She" is not like "I": the tie between language and action is in our imagination. Journal of Cognitive Neuroscience. 23, 12 (2011), 3939--3948.
[39]
Park, A. 2017. #MeToo reaches 85 countries with 1.7M tweets. CBS News.
[40]
Polletta, F. 2009. It Was Like a Fever: Storytelling in Protest and Politics. University of Chicago Press.
[41]
Rho, E.H.R., Mark, G. and Mazmanian, M. 2018. Fostering Civil Discourse Online: Linguistic Behavior in Comments of #MeToo Articles Across Political Perspectives. Proceedings of the 21st ACM Conference on Computer Supported Cooperative Work & Social Computing (New York, NY, USA, 2018), 147--175.
[42]
Rho, E.H.R. and Mazmanian, M. 2019. Hashtag Burnout? A Control Experiment Investigating How Political Hashtags Shape Reactions to News Content. Proceedings of the ACM on Human-Computer Interaction. (Nov. 2019).
[43]
Rinker, T. 2019. Package sentimentr.'
[44]
Ruiz, C., Domingo, D., Micó, J.L., Díaz-Noci, J., Meso, K. and Masip, P. 2011. Public Sphere 2.0? The Democratic Qualities of Citizen Debates in Online Newspapers. The International Journal of Press/Politics. 16, 4 (Oct. 2011), 463--487.
[45]
Schwarz, N. and Clore, G.L. 1991. Affect, Cognition, and Social Behavior. Hogrefe & Huber.
[46]
Semaan, B., Faucett, H., Robertson, S.P., Maruyama, M. and Douglas, S. 2015. Designing Political Deliberation Environments to Support Interactions in the Public Sphere. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15 (Seoul, Republic of Korea, 2015), 3167--3176.
[47]
Shi, B., Ifrim, G. and Hurley, N. 2014. Insight4News: Connecting News to Relevant Social Conversations. Machine Learning and Knowledge Discovery in Databases (2014), 473--476.
[48]
Simpson, E. 2018. Integrated & Alone: The Use of Hashtags in Twitter Social Activism. Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW '18 (Jersey City, NJ, USA, 2018), 237--240.
[49]
Starbird, K. and Palen, L. 2012. (How) Will the Revolution Be Retweeted?: Information Diffusion and the 2011 Egyptian Uprising. Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work (New York, NY, USA, 2012), 7-- 16.
[50]
Stieglitz, S. and Dang-Xuan, L. 2013. Emotions and Information Diffusion in Social Media-Sentiment of Microblogs and Sharing Behavior. Journal of Management Information Systems. 29, 4 (Apr. 2013), 217--248.
[51]
Stieglitz, S. and Dang-Xuan, L. 2013. Social media and political communication: a social media analytics framework. Social Network Analysis and Mining. 3, 4 (Dec. 2013), 1277--1291.
[52]
Strauss, A. and Corbin, J.M. 1998. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. SAGE Publications.
[53]
Stromer-Galley, J. Measuring Deliberation's Content: A Coding Scheme. 37.
[54]
Sunstein, C.R. 2018. # Republic: Divided democracy in the age of social media. Princeton University Press.
[55]
Thimm, C., Dang-Anh, M. and Einspänner, J. 2014. Mediatized Politics - Structures and Strategies of Discursive Participation and Online Deliberation on Twitter. Mediatized Worlds: Culture and Society in a Media Age. A. Hepp and F. Krotz, eds. Palgrave Macmillan UK. 253--270.
[56]
Triandafyllidou, A. 2000. The political discourse on immigration in southern Europe: a critical analysis. Journal of Community & Applied Social Psychology. 10, 5 (Oct. 2000), 373--389.
[57]
Tucker, J., Guess, A., Barbera, P., Vaccari, C., Siegel, A., Sanovich, S., Stukal, D. and Nyhan, B. 2018. Social Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature. SSRN Electronic Journal. (2018).
[58]
Tulloch, J. 2014. Ethics, Trust and the First Person in the Narration of Long-Form Journalism. Journalism. 15, 5 (2014), 629--638.
[59]
Utych, S.M. 2018. Negative Affective Language in Politics. American Politics Research. 46, 1 (Jan. 2018), 77--102.
[60]
Xiao, F., Noro, T. and Tokuda, T. 2012. News-Topic Oriented Hashtag Recommendation in Twitter Based on Characteristic Co-occurrence Word Detection. Web Engineering. M. Brambilla, T. Tokuda, and R. Tolksdorf, eds. Springer Berlin Heidelberg. 16--30.
[61]
Yang, G. 2016. Narrative Agency in Hashtag Activism: The Case of #BlackLivesMatter. Media and Communication. (Jan. 2016), 13--17.
[62]
Yang, Y. and Pedersen, J.O. 1997. A comparative study on feature selection in text categorization. Icml (1997), 35.
[63]
Zhou, X., Chan, Y.-Y. and Peng, Z.-M. 2008. Deliberativeness of Online Political Discussion. Journalism Studies. 9, 5 (Oct. 2008), 759--770.
[64]
2018. After a year of #MeToo, American opinion has shifted against victims. The Economist.

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    cover image ACM Conferences
    CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
    April 2020
    10688 pages
    ISBN:9781450367080
    DOI:10.1145/3313831
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    Published: 23 April 2020

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    1. civil discourse
    2. control experiment
    3. digital journalism
    4. online social movements
    5. political hashtags
    6. social media news

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