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Many “likers” do not constitute a crowd: the case of Uganda’s Not In My Country
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2013 (English)In: ICT for Anti-Corruption, Democracy and Education in East Africa / [ed] Katja Sarajeva, Stockholm: Spider , 2013, no 6, 27-36 p.Chapter in book (Other academic)
Abstract [en]

While there is a lot of hype surrounding anti-corruption crowdsourcing interventions among development practitioners and international media, scholarly attention to the phenomenon within development context is limited. In the “Crowdsourcing Success Factor Model”, the crowd’s “motive alignment” is singled out as the key determinant of success of the crowdsourcing initiative. By looking in-depth into the project Not In My Country, which is a crowdsourcing platform used to record, report, and publicise corruption in Ugandan universities, the concept of motive alignment is scrutinised. While Not In My Country, 11 months after its launch, has a notable popular support (over 3,500 “likes” on Facebook and over 15’000 unique visitors to its website), only 110 lecturers and 10 corruption reports have been submitted. If NIMC has apparently tapped into widely held anti-corruption sentiment, and garnered significant traffic to its site, why do so few visitors actually engage with the site as its implementers intended? Data collected through a questionnaire and focus group discussions with Ugandan university students who have “liked” NIMC’s Facebook page, indicate that the concept of motive alignment must consider not just ideological alignment, but alignment of modes of action and communication norms between participants and the crowdsourcing project. Motive alignment needs a temporal dimension to be fully understood as subjects’ more immediate interests can subvert long-term goal alignment.

Place, publisher, year, edition, pages
Stockholm: Spider , 2013. no 6, 27-36 p.
, Spider ICT4D Series, 6/2013
Keyword [en]
ICT for development, ICT4D, crowdsourcing, ‘critical success factor model’, anti-corruption, Uganda
National Category
Information Systems
Research subject
Information Society
URN: urn:nbn:se:su:diva-98594ISBN: 978-91-637-4603-1OAI: diva2:684525
Available from: 2014-01-08 Created: 2014-01-08 Last updated: 2014-01-28Bibliographically approved

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