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The Use of Twitter as a Tool to Predict Opinion Leaders that Influence Public Opinion: Case Study of the 2016 United State Presidential Election

In: Knowledge Discovery and Data Design Innovation Proceedings of the International Conference on Knowledge Management (ICKM 2017)

Author

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  • Y. T. Alfarhoud

Abstract

The availability and ease of access of social media have allowed the general public to interact in political discussion. Social media are a widely-used instrument for political engagement. The purpose of this study is to understand Twitters users’ involvement in politics and in particular in political elections and to explore the use of Twitter as a tool to predict the opinion leaders that will influence the general users in the context of a political election. This study also explores the reliance of campaigns on Twitter as a tool to affect the voters’ opinions. The scope is the United States 2016 president election. The outcomes of this study indicated the importance of social media, specifically Twitter, as a tool to encourage Twitter users to participate in the elections and influence their opinions. The study revealed that the majority of opinion leaders were individual users rather than campaigns, organizations, or affiliations.

Suggested Citation

  • Y. T. Alfarhoud, 2017. "The Use of Twitter as a Tool to Predict Opinion Leaders that Influence Public Opinion: Case Study of the 2016 United State Presidential Election," World Scientific Book Chapters, in: Daniel Gelaw Alemneh & Jeff Allen & Suliman Hawamdeh (ed.), Knowledge Discovery and Data Design Innovation Proceedings of the International Conference on Knowledge Management (ICKM 2017), chapter 10, pages 191-206, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789813234482_0010
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    Cited by:

    1. Zhang, Min & Zhang, Dongxin & Zhang, Yin & Yeager, Kristin & Fields, Taylor N., 2023. "An exploratory study of Twitter metrics for measuring user influence," Journal of Informetrics, Elsevier, vol. 17(4).

    More about this item

    Keywords

    Knowledge Discovery; Big Data; Data Science; Data Analytics; Innovation;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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