Evaluating Platform Accountability

Terrorist Content on YouTube

Bibliographic Data

ID3756704
AuthorsDhiraj Murthy (0000-0001-9734-1124, The University of Texas at Austin, TX, USA, corresponding author)
Year2021
Volume65
Issue6
Pages800-824
Publication date2021-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Behavioral Scientist (JOURNAL)
Journal identifiersISSN: 0002-7642 • E-ISSN: 1552-3381
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0002764221989774
OpenAlexW3126684325
LanguageEN
Citations received5
References cited30

YouTube has traditionally been singled out as particularly influential in the spreading of ISIS content. However, the platform along with Facebook, Twitter, and Microsoft jointly created the Global Internet Forum to Counter Terrorism in 2017 as one mode to be more accountable and take measures toward combating extremist content online. Though extreme content on YouTube has been found to have decreased substantially due to this and other efforts (human and machine-based), it is valuable to historically review what role YouTube previously had in order to better understand the evolution of contemporary moves toward platform accountability in terms of extremist video content sharing. Therefore, this study explores what role YouTube's recommender algorithm had in directing users to ISIS-related content prior to large-scale pressure by citizens and governments to more aggressively moderate extremist content. To investigate this, a YouTube video network from 2016 consisting of 15,021 videos (nodes) and 190,087 recommendations between them (edges) was studied. Using Qualitative Comparative Analysis, this study evaluates 11 video attributes (such as genre, language, and radical keywords) and identifies sets of attributes that were found to potentially be involved in the outcomes of YouTube recommending extreme content. This historical review of YouTube at a unique point in platform accountability ultimately raises questions of how platforms might be able to be more proactive rather than reactive regarding filtering and moderating extremist content

Accountability · Content (measure theory) · Content analysis · Internet privacy · Point (geometry) · Political science · Scale (ratio) · Social media · Sociology · The Internet · World Wide Web · Computer Science · Hate Speech and Cyberbullying Detection · Law · Middle East and Rwanda Conflicts · Terrorism, Counterterrorism, and Political Violence

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