Social Media Bots, Trolls, and the Democratic Mandates in Sub-Saharan Africa

Gregory Gondwe, E. Some
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Abstract

This exploratory study investigates the role that bots and trolls played on social media in widening the gaps of political partisanship in sub-Saharan Africa. Taking the case of the 2018 Zambian by-elections, the authors examined the relationship between online social media content that propagates hate and organized trolling efforts in Zambia. The study used machine learning tools to identify the origin of the bots on Facebook and Twitter accounts (trolls) of the two major political parties in Zambia (PF and UPND). Online posts that accounted for the election campaigns and the aftermath in the year 2018 were considered for the study. Findings suggest that social-mediated conversations were divided along political lines and that the examined trolling accounts systematically took advantage of the existing echo chambers to create hate messages on Zambian social networks. In other words, the findings indicated that the online hate messages that accounted for violence were neither created by the PF or UPND political parties as earlier studies suggest but by bots and trolls.
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社交媒体机器人、喷子和撒哈拉以南非洲的民主授权
这项探索性研究调查了社交媒体上的机器人和喷子在扩大撒哈拉以南非洲政治党派差距方面所扮演的角色。以2018年赞比亚补选为例,作者研究了在赞比亚传播仇恨的在线社交媒体内容与有组织的钓鱼行为之间的关系。该研究使用机器学习工具来识别赞比亚两个主要政党(PF和upd)的Facebook和Twitter账户(喷子)上的机器人的来源。该研究考虑了2018年竞选活动及其后果的网上帖子。调查结果表明,社交媒介的对话是按政治路线划分的,被检查的钓鱼账户系统地利用现有的回声室在赞比亚的社交网络上制造仇恨信息。换句话说,研究结果表明,导致暴力的网络仇恨信息既不是由爱国阵线或统一民主联盟政党创造的,也不是像之前的研究表明的那样,而是由机器人和喷子创造的。
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