Emergent use of Social Media on Elections: the use of Data Mining and Social Network Analysis for Political Purposes
Zakia Acharoui1, Badia Ettaki2, Jamal Zerouaoui3
1Acharoui Zakia*, Laboratory of Materials Physics and Subatomics. Faculty of Sciences- Ibn Tofail University, Kenitra, Morocco.
2Ettaki Badia Laboratory of Research in Computer Science, Data Sciences and Knowledge Engineering, School of Information Sciences Rabat, Morocco.
3Zerouaoui Jamal, Laboratory of Materials Physics and Subatomics. Faculty of Sciences- Ibn Tofail University, Kenitra, Morocco.
Manuscript received on April 21, 2021. | Revised Manuscript received on April 28, 2021. | Manuscript published on April 30, 2021. | PP: 118-122 | Volume-10 Issue-6, April 2021 | Retrieval Number: 100.1/ijitee.F88320410621| DOI: 10.35940/ijitee.F8832.0410621
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: People spend more time on social media either for personal or social interest which generates an expanding amount of Data. This paper is written for researchers seeking to have an overview of the different technical methods used for political purposes principally Data Mining and Social Network Analysis. Hence, the first part introduces the impact of Social Media on politics for different aims such as communicating with voters, promoting participation, and predicting election results, then the two main methods to achieve political purposes were presented. Data mining approaches is likely to be used on political context to classify citizen’s opinion or predicting results thus by using methods such as term occurrence, mentions, Support Vector Machine, Machine Learning, and Artificial Neural Networks. The Social Network Analysis approaches are used to retrieve data about influencers, their role during a period, and the nature of the information shared.
Keywords: Social Media, Data Mining, Social Network Analysis, Political Participation, Centrality Measures.