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Down the (White) Rabbit Hole: The Extreme Right and Online Recommender Systems
O'Callaghan, Derek; Greene, Derek; Conway, Maura; Carthy, Joe; Cunningham, Pádraig
In addition to hosting user-generated video content, YouTube provides recommendation services,where sets of related and recommended videos are presented to users, based on factors such as covisitation count and prior viewing history. This article is specifically concerned with extreme right(ER) video content, portions of which contravene hate laws and are thus illegal in certain countries,which are recommended by YouTube to some users. We develop a categorization of this content based on various schema found in a selection of academic literature on the ER, which is then used to demonstrate the political articulations of YouTubes recommender system, particularly the narrowing of the range of content to which users are exposed and the potential impacts of this. For this purpose, we use two data sets of English and German language ER YouTube channels, along with channels suggested by YouTubes related video service. A process is observable whereby users accessing an ER YouTube video are likely to be recommended further ER content, leading to immersion in an ideological bubble in just a few short clicks. The evidence presented in this article supportsa shift of the almost exclusive focus on users as content creators and protagonists in extremist cyberspaces to also consider online platform providers as important actors in these same spaces. Science Foundation Ireland 2CENTRE EU funded Cybercrime Centres of Excellence Network EU funded VOX-Pol Network of Excellence
Keyword(s): Recommender systems; Extreme right; Categorization; Topic modeling; YouTube
Publication Date:
2017
Type: Journal article
Peer-Reviewed: Unknown
Language(s): English
Institution: University College Dublin
Publisher(s): Sage Publications
First Indexed: 2017-04-20 06:28:26 Last Updated: 2018-10-11 15:33:02