Social Media and Postelection Crisis in Kenya

Mäkinen, Maarit; Kuira, Mary Wangu

doi:10.1177/1940161208319409

Cited by 120 publications

(39 citation statements)

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“…As Bertot et al [9] phrase it: "The social media applications of the Internet (…) have the potential to enhance existing and foster new cultures of openness". This is in line with other authors, such as Mäkinen and Kuira [22], who analysed the role of social media in the post-election crisis in Kenya and declared these media a tool for "transparency and openness". Also, Dadashzadeh [23] points out that the increasing importance of social media in society represents a cultural shift and comes along with rising expectations among citizens that will move more and more governments to make use of the internet in general and social media in particular.…”

Section: Social Media and Sma For Governmentssupporting

confidence: 89%

Social media analytics for future oriented policy making

2013

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Research indicates that evidence-based policy making is most successful when public administrators refer to diversified information portfolios. With the rising prominence of social media in the last decade, this paper argues that governments can benefit from integrating this publically available, user-generated data through the technique of social media analytics (SMA). There are already several initiatives set up to predict future policy issues, e.g. for the policy fields of crisis mitigation or migrant integration insights. The authors analyse these endeavours and their potential for providing more efficient and effective public policies. Furthermore, they scrutinise the challenges to governmental SMA usage in particular with regards to legal and ethical aspects. Reflecting the latter, this paper provides forward-looking recommendations on how these technologies can best be used for future policy making in a legally and ethically sound manner.

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Section: Social Media and Sma For Governmentssupporting

confidence: 89%

Social media analytics for future oriented policy making

2013

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“…As the government closed traditional forms of mass communication, mobile telephone short messages service (SMS) and Internet applications such as Facebook, Twitter, Ushahidi (a Web site that allows users to announce and geographically map crisis situations by submitting online posts or SMS updates) and Mashada (a blogging Web site), became sources of information on the location and nature of riots throughout Kenya (Makinen and Kuira, 2008). Ushahidi and Mashada were used to voice positive and negative social discourse concerning the contested presidential election (Goldstein and Rotich, 2010).…”

Section: Kenya (Post-election Violence 2007-2008)mentioning

confidence: 99%

Influences of media on social movements: Problematizing hyperbolic inferences about impacts

Olorunnisola

Martin

2013

Telematics and Informatics

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“…They are free forums that promote the exchange of ideas, opinion and information, while providing an opportunity for global outreach in crisis communication [16]. These platforms, including Twitter, are widely regarded as sources of valuable situational awareness generated by users posting local knowledge that only they have access to [17].…”

Section: Background Workmentioning

confidence: 99%

Tackling the Challenges of Situational Awareness Extraction in Twitter with an Adaptive Approach

Saleem¹,

Zamal²,

Ruths³

2015

Procedia Engineering

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Twitter is widely perceived as a potential source of valuable information for responders to mass emergencies. Despite interest in the development of extraction systems for such information, little effort has been put towards systemic methods for obtaining all posts pertaining to a disaster from the live Twitter stream. Researchers rely on keyword-based filters to extract information in spite of evidence that such markers are absent in many informational tweets, and also neglect the topic and traffic dynamics of the relevant tweets as crises progress. Previous work has shown that such practices can often lead to the loss of critical information in the context of a disaster. We introduce an adaptive filter, tailored to the idiosyncrasies of the real-time Twitter feed, intended to extract disaster-related content. Furthermore, we introduce a novel data model based on a three-label classification scheme to describe the composition of the data-stream. We use this model to simulate Twitter streams, modelling various post-disaster scenarios, for the purpose of filter performance evaluation. The filter is able to remove over 85% of the non-crisis content, and achieves a three-fold reduction in the loss of relevant contents compared to the existing approaches. In combination, the method and the model are useful tools for extracting situational awareness and highlight important directions for future work in this area.

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Social Media and Postelection Crisis in Kenya

Cited by 120 publications

References 0 publications

Social media analytics for future oriented policy making

Social media analytics for future oriented policy making

Influences of media on social movements: Problematizing hyperbolic inferences about impacts

Tackling the Challenges of Situational Awareness Extraction in Twitter with an Adaptive Approach

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