Towards an Online Risk Mitigation Framework for Political Brands Subject to Computational Propaganda

The influence of computational propaganda on democratic processes globally has necessitated the exploration of mitigation strategies for political brands. The risk associated with computational propaganda includes the spread of misleading information about a political brand over social networking si...

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Vydané v:Communicatio Ročník 47; číslo 1; s. 95 - 121
Hlavní autori: Robertson, Randy, Meintjes, Corné
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Pretoria Routledge 02.01.2021
UNISA Press
Taylor & Francis Ltd
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ISSN:0250-0167, 1753-5379
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Abstract The influence of computational propaganda on democratic processes globally has necessitated the exploration of mitigation strategies for political brands. The risk associated with computational propaganda includes the spread of misleading information about a political brand over social networking sites through bots (i.e. automated software applications that are programmed to do certain tasks) and newsfeed algorithms at rapid speeds. Apart from bots being used to facilitate the spread of disinformation (i.e. misleading information spread with the intent to manipulate or deceive), human curators also play a role. Research into addressing computational propaganda in the field of political communication is limited, compelling the need to look to consumer brand experts for insight. The current study used semi-structured interviews of senior consumer brand social media practitioners and applied content analysis to develop a framework for mitigating online brand risk associated with computational propaganda for political brands. This computational propaganda brand risk mitigation framework proposes two approaches to curb the effects of computational propaganda, namely, a preventative approach and a recovery approach. Based on established theoretical and practical concepts, this mitigation framework could guide the easing of online brand risk and associated crises for political brands.
AbstractList The influence of computational propaganda on democratic processes globally has necessitated the exploration of mitigation strategies for political brands. The risk associated with computational propaganda includes the spread of misleading information about a political brand over social networking sites through bots (i.e. automated software applications that are programmed to do certain tasks) and newsfeed algorithms at rapid speeds. Apart from bots being used to facilitate the spread of disinformation (i.e. misleading information spread with the intent to manipulate or deceive), human curators also play a role. Research into addressing computational propaganda in the field of political communication is limited, compelling the need to look to consumer brand experts for insight. The current study used semi-structured interviews of senior consumer brand social media practitioners and applied content analysis to develop a framework for mitigating online brand risk associated with computational propaganda for political brands. This computational propaganda brand risk mitigation framework proposes two approaches to curb the effects of computational propaganda, namely, a preventative approach and a recovery approach. Based on established theoretical and practical concepts, this mitigation framework could guide the easing of online brand risk and associated crises for political brands.
Author Meintjes, Corné
Robertson, Randy
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  surname: Meintjes
  fullname: Meintjes, Corné
  email: cmeintjes@uj.ac.za
  organization: University of Johannesburg
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Snippet The influence of computational propaganda on democratic processes globally has necessitated the exploration of mitigation strategies for political brands. The...
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SubjectTerms Brand names
Brand risk
brand risk mitigation
computational propaganda
Content analysis
DISINFORMATION
Frame analysis
Internet
Mass media
Mitigation
Networking
political brands
Political communication
Politics
Propaganda
Risk
Social media
Social networks
Social research
Title Towards an Online Risk Mitigation Framework for Political Brands Subject to Computational Propaganda
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