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Tweeting against corruption: Fighting police bribery through online collective action
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
2014 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Efforts to utilise Twitter to improve communication in Kenya between officials at the Kenya Police and Ministry of Interior, and Kenyan citizens, are researched specifically addressing efforts to use Twitter to report and combat police corruption. The goal is to assess efforts to use the social networking platform to improve communication channels between officials and citizens, through a mixed methods approach incorporating a content analysis of thousands of tweets sent by four separate government Twitter accounts, as well as interviews with Kenyans who have interacted with the accounts on Twitter. In addition, I assess the potential value of Twitter as a corruption-reporting platform. The research builds on existing ICT4D research, Castells’ communication power theory, as well as collective-action approaches to fighting corruption. The results of the research reveal potential problems of incident-focused social media-based corruption reporting in developing collective-action networks focused on fighting police bribery and broader government corruption. The tendency of social-media interactions to be dominated by relatively meaningless discussions limits Twitter’s value as a useful channel for two-way communication between citizens and officials. Social media-based anti-corruption efforts dedicated to building collective-action networks focused on long-term solutions, rather than highlighting individual incidents, may be more effective in fighting corruption.

Place, publisher, year, edition, pages
2014. , 58 p.
Keyword [en]
Bribery, collective action, corruption, Twitter, Web 2.0, new media, Kenya, police
National Category
Social Sciences Media and Communications
URN: urn:nbn:se:uu:diva-232226OAI: oai:DiVA.org:uu-232226DiVA: diva2:747107
Subject / course
Digital Media
Educational program
Master Programme in Social Sciences
2014-08-28, Ekonomikum A331, 09:15 (English)

I submitted this thesis on August 20; however, there was apparently a technical error with the previous submission, which I was informed of today.

Available from: 2014-09-16 Created: 2014-09-15 Last updated: 2014-09-16Bibliographically approved

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