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Polarization and acculturation in US Election 2016 outcomes – Can twitter analytics predict changes in voting preferences

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  • Grover, Purva
  • Kar, Arpan Kumar
  • Dwivedi, Yogesh K.
  • Janssen, Marijn

Abstract

Elections are among the most critical events in a national calendar. During elections, candidates increasingly use social media platforms to engage voters. Using the 2016 US presidential election as a case study, we looked at the use of Twitter by political campaigns and examined how the drivers of voter behaviour were reflected in Twitter. Social media analytics have been used to derive insights related to theoretical frameworks within political science. Using social media analytics, we investigated whether the nature of social media discussions have an impact on voting behaviour during an election, through acculturation of ideologies and polarization of voter preferences. Our findings indicate that discussions on Twitter could have polarized users significantly. Reasons behind such polarization were explored using Newman and Sheth's model of voter's choice behaviour. Geographical analysis of tweets, users, and campaigns suggests acculturation of ideologies among voting groups. Finally, network analysis among voters indicates that polarization may have occurred due to differences between the respective online campaigns. This study thus provides important and highly relevant insights into voter behaviour for the future management and governance of successful political campaigns.

Suggested Citation

  • Grover, Purva & Kar, Arpan Kumar & Dwivedi, Yogesh K. & Janssen, Marijn, 2019. "Polarization and acculturation in US Election 2016 outcomes – Can twitter analytics predict changes in voting preferences," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 438-460.
    • Handle: RePEc:eee:tefoso:v:145:y:2019:i:c:p:438-460
    DOI: 10.1016/j.techfore.2018.09.009
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    1. Barnett, George A. & Ruiz, Jeanette B. & Xu, Weiai Wayne & Park, Ji-Young & Park, Han Woo, 2017. "The world is not flat: Evaluating the inequality in global information gatekeeping through website co-mentions," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 38-45.
    2. Mohammad Alamgir Hossain & Yogesh K. Dwivedi & Caroline Chan & Craig Standing & Abdus-Samad Olanrewaju, 2018. "Sharing Political Content in Online Social Media: A Planned and Unplanned Behaviour Approach," Information Systems Frontiers, Springer, vol. 20(3), pages 485-501, June.
    3. Kawaljeet Kaur Kapoor & Kuttimani Tamilmani & Nripendra P. Rana & Pushp Patil & Yogesh K. Dwivedi & Sridhar Nerur, 2018. "Advances in Social Media Research: Past, Present and Future," Information Systems Frontiers, Springer, vol. 20(3), pages 531-558, June.
    4. Newman, Bruce I & Sheth, Jagdish N, 1985. "A Model of Primary Voter Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(2), pages 178-187, September.
    5. Kawaljeet Kaur Kapoor & Yogesh K. Dwivedi, 2015. "Metamorphosis of Indian electoral campaigns: Modi's social media experiment," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 11(4), pages 496-516.
    6. Ashish K. Rathore & Arpan K. Kar & P. Vigneswara Ilavarasan, 2017. "Social Media Analytics: Literature Review and Directions for Future Research," Decision Analysis, INFORMS, vol. 14(4), pages 229-249, December.
    7. Kayser, Victoria & Blind, Knut, 2017. "Extending the knowledge base of foresight: The contribution of text mining," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 208-215.
    8. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    9. Shanto Iyengar & Sean J. Westwood, 2015. "Fear and Loathing Across Party Lines: New Evidence on Group Polarization," American Journal of Political Science, John Wiley & Sons, vol. 59(3), pages 690-707, July.
    10. Tsang, Eric W. K., 2014. "Old and New," Management and Organization Review, Cambridge University Press, vol. 10(03), pages 390-390, November.
    11. Xin Shuai & Alberto Pepe & Johan Bollen, 2012. "How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-8, November.
    12. Pablo Barberá & Ning Wang & Richard Bonneau & John T Jost & Jonathan Nagler & Joshua Tucker & Sandra González-Bailón, 2015. "The Critical Periphery in the Growth of Social Protests," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-15, November.
    13. Panagiotopoulos, Panos & Barnett, Julie & Bigdeli, Alinaghi Ziaee & Sams, Steven, 2016. "Social media in emergency management: Twitter as a tool for communicating risks to the public," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 86-96.
    14. Borondo, J. & Morales, A.J. & Benito, R.M. & Losada, J.C., 2014. "Mapping the online communication patterns of political conversations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 403-413.
    15. Kassarjian, Harold H, 1977. "Content Analysis in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(1), pages 8-18, June.
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    4. Zhan, Yuanzhu & Han, Runyue & Tse, Mike & Ali, Mohd Helmi & Hu, Jiayao, 2021. "A social media analytic framework for improving operations and service management: A study of the retail pharmacy industry," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    5. Shan, Siqing & Peng, Jing & Wei, Yigang, 2021. "Environmental Sustainability assessment 2.0: The value of social media data for determining the emotional responses of people to river pollution—A case study of Weibo (Chinese Twitter)," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    6. Renáta Németh, 2023. "A scoping review on the use of natural language processing in research on political polarization: trends and research prospects," Journal of Computational Social Science, Springer, vol. 6(1), pages 289-313, April.
    7. Shawky, Sara & Kubacki, Krzysztof & Dietrich, Timo & Weaven, Scott, 2020. "A dynamic framework for managing customer engagement on social media," Journal of Business Research, Elsevier, vol. 121(C), pages 567-577.

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