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</script>handle: 10419/281290
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.
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
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
| 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% |
