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Social Media and Hate

Authors: Banaji, Shakuntala; Bhat, Ramnath;

Social Media and Hate

Abstract

Using expert interviews and focus groups, this book investigates the theoretical and practical intersection of misinformation and social media hate in contemporary societies. Social Media and Hate argues that these phenomena, and the extreme violence and discrimination they initiate against targeted groups, are connected to the socio-political contexts, values and behaviours of users of social media platforms such as Facebook, TikTok, ShareChat, Instagram and WhatsApp. The argument moves from a theoretical discussion of the practices and consequences of sectarian hatred, through a methodological evaluation of quantitative and qualitative studies on this topic, to four qualitative case studies of social media hate, and its effects on groups, individuals and wider politics in India, Brazil, Myanmar and the UK. The technical, ideological and networked similarities and connections between social media hate against people of African and Asian descent, indigenous communities, Muslims, Dalits, dissenters, feminists, LGBTQIA communities, Rohingya and immigrants across the four contexts is highlighted, stressing the need for an equally systematic political response. This is an insightful text for scholars and academics in the fields of Cultural Studies, Community Psychology, Education, Journalism, Media and Communication Studies, Political Science, Social Anthropology, Social Psychology, and Sociology.

Country
United Kingdom
Related Organizations
Keywords

News media and journalism, ddc:300, thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTP Publishing industry and journalism::KNTP2 News media and journalism

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
Green
hybrid