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Title: How does fake news spread? Understanding pathways of disinformation spread through APIs
Authors: Ng, Lynnette H. X.
Taeihagh, Araz 
Keywords: application programming interface
code repositories
fake news
social media
Issue Date: 26-Sep-2021
Publisher: John Wiley and Sons Inc
Citation: Ng, Lynnette H. X., Taeihagh, Araz (2021-09-26). How does fake news spread? Understanding pathways of disinformation spread through APIs. Policy and Internet 13 (4) : 560-585. ScholarBank@NUS Repository.
Rights: Attribution 4.0 International
Abstract: What are the pathways for spreading disinformation on social media platforms? This article addresses this question by collecting, categorising, and situating an extensive body of research on how application programming interfaces (APIs) provided by social media platforms facilitate the spread of disinformation. We first examine the landscape of official social media APIs, then perform quantitative research on the open-source code repositories GitHub and GitLab to understand the usage patterns of these APIs. By inspecting the code repositories, we classify developers' usage of the APIs as official and unofficial, and further develop a four-stage framework characterising pathways for spreading disinformation on social media platforms. We further highlight how the stages in the framework were activated during the 2016 US Presidential Elections, before providing policy recommendations for issues relating to access to APIs, algorithmic content, advertisements, and suggest rapid response to coordinate campaigns, development of collaborative, and participatory approaches as well as government stewardship in the regulation of social media platforms. © 2021 The Authors. Policy & Internet published by Wiley Periodicals LLC on behalf of Policy Studies Organization.
Source Title: Policy and Internet
ISSN: 1944-2866
DOI: 10.1002/poi3.268
Rights: Attribution 4.0 International
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