Many Faced Hate: A Cross Platform Study of Content Framing and Information Sharing by Online Hate Groups

要旨

Hate groups are increasingly using multiple social media platforms to promote extremist ideologies. Yet we know little about their communication practices across platforms. How do hate groups (or "in-groups"), frame their hateful agenda against the targeted group or the "out-group?" How do they share information? Utilizing "framing" theory from social movement research and analyzing domains in the shared links, we juxtapose the Facebook and Twitter communication of 72 Southern Poverty Law Center (SPLC) designated hate groups spanning five hate ideologies. Our findings show that hate groups use Twitter for educating the audience about problems with the out-group, maintaining positive self-image by emphasizing in-group's high social status, and for demanding policy changes to negatively affect the out-group. On Facebook, they use fear appeals, call for active participation in group events (membership requests), all while portraying themselves as being oppressed by the out-group and failed by the system. Our study unravels the ecosystem of cross-platform communication by hate groups, suggesting that they use Facebook for group radicalization and recruitment, while Twitter for reaching a diverse follower base.

キーワード
Hate groups
Cross-platform
Framing
Information sharing
著者
Shruti Phadke
Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
Tanushree Mitra
Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
DOI

10.1145/3313831.3376456

論文URL

https://doi.org/10.1145/3313831.3376456

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Social interactions: good, bad, discovery & values

Paper session
316C MAUI
5 件の発表
2020-04-30 01:00:00
2020-04-30 02:15:00
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