Could Facebook Influence Municipal Elections?: Tunisian Case Study

Arbi Chouikh, Lilia Sfaxi, Sehl Mellouli
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Abstract

Since the beginning of the Arab spring, Tunisians have asked for a new system with fundamental political, social and economic reforms. People have been revolting for dignity, liberty, social equality and for equity between regions through the equal division of wealth. This is why, during the democratic transition, there was a significant focus on the decentralized development, where local authorities are more autonomous, which means that the municipalities will have more authority. On 06 May 2018, the first municipal elections after the revolution took place in Tunisia. These elections were preceded by an electoral campaign where social media were used to debate on different topics related to these elections. This paper aims to investigate if there is a correlation that can be deduced between the posts and reactions on social media, especially on Facebook, and the final results of the elections. To this end, we will make an analysis of the candidates' Facebook pages and the reactions of their followers towards their campaigns in order to understand how far social media insights were significant in the municipal elections results. Results show that either on Facebook or in front of the voting ballot, political parties get the highest number of interactions from citizens, but there is no direct correlation that can help us predict which list will be the most voted for. But when considering independent lists only, results show that their presence in social media and the reactions of citizens to their publications can be representative of their final voting results.
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Facebook会影响市政选举吗?:突尼斯案例研究
自阿拉伯之春开始以来,突尼斯人一直要求建立一个具有根本性政治、社会和经济改革的新制度。人们一直在为尊严、自由、社会平等以及通过财富的平等分配实现地区间的公平而反抗。这就是为什么在民主过渡期间,人们非常关注分散的发展,地方当局更加自治,这意味着市政当局将拥有更多的权力。2018年5月6日,突尼斯举行了革命后的首次市政选举。这些选举之前有一场竞选活动,社交媒体被用来辩论与这些选举相关的不同话题。本文旨在调查社交媒体(尤其是Facebook)上的帖子和反应与最终选举结果之间是否存在相关性。为此,我们将分析候选人的Facebook页面及其追随者对其竞选活动的反应,以了解社交媒体洞察力在市政选举结果中的重要程度。结果显示,无论是在Facebook上还是在投票前,政党与公民的互动次数最多,但没有直接的相关性可以帮助我们预测哪一名单将获得最多的投票。但当只考虑独立榜单时,结果显示它们在社交媒体上的存在以及公民对其出版物的反应可以代表它们的最终投票结果。
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