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

Author:

Gondwe Gregory1ORCID,Some Evariste2

Affiliation:

1. California State University, San Bernardino, USA

2. University of Colorado, USA

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.

Publisher

IGI Global

Reference46 articles.

1. “Aren’t These Just Young, Rich Women Doing Vain Things Online?”: Influencer Selfies as Subversive Frivolity

2. Ethnic Identity in Emerging Adults in Sub-Saharan Africa and the USA, and Its Associations with Psychological Well-Being

3. AdarK. G. (Ed.). (2018). Globalization and emerging trends in African states’ foreign policy-making process: a comparative perspective of Southern Africa. Routledge.

4. Akakandelwa, A., & Walubita, G. (2018). Students’ social media use and its perceived impact on their social life: A case study of the University of Zambia. Palevel.unza.zm

5. Politicization of the Broadcast Media: An Examination of 2015 General Elections in Nigeria.;M.Bashir;International Journal of Management Research and Reviews,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3