Polarization and acculturation in US Election 2016 outcomes – Can twitter analytics predict changes in voting preferences
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DOI: 10.1016/j.techfore.2018.09.009
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- Paul, Justin & Parameswar, Nakul & Sindhani, Mohit & Dhir, Sanjay, 2021. "Use of microblogging platform for digital communication in politics," Journal of Business Research, Elsevier, vol. 127(C), pages 322-331.
- Han, Chunjia & Yang, Mu & Piterou, Athena, 2021. "Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
- Baudier, Patricia & Kondrateva, Galina & Ammi, Chantal & Seulliet, Eric, 2021. "Peace engineering: The contribution of blockchain systems to the e-voting process," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
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- 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.
- 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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Keywords
Social media; Twitter analytics; Polarization in elections; eParticipation; Public policy; Hashtag community; Acculturation in social media;All these keywords.
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