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Where do angry birds tweet? Income inequality and online hate in Italy

Bibliographic Data

ID12914036
AuthorsDaria Denti (0000-0001-7562-3788, Gran Sasso Science Institute, corresponding author), Alessandra Faggian (0000-0002-2479-2933, Gran Sasso Science Institute)
Year2021
Volume14
Issue3
Pages483-506
Publication date2021-07-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCambridge Journal of Regions Economy and Society (JOURNAL)
Journal identifiersISSN: 1752-1386 • E-ISSN: 1752-1378
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/cjres/rsab016
OpenAlexW3201062174
LanguageEN
Citations received9
References cited75

Do spatial socioeconomic features influence a digital behaviour like cyberhate? Our contribution provides an answer to this question, showing how high levels of income inequality determine high volumes of hate tweets in Italy. Our findings are robust to potential endogeneity problems of income inequality, as well as to the inclusion of confounding factors and to competing estimation strategies. Additionally, we find that education does not act as a protective factor against cyberhate in unequal places, aligning with existing evidence showing that inequality may trigger intolerance, including among educated people, threatening the perceived stability of social positions. Also, in the Italian case, the perception of economic insecurity fuels cyberhate, alongside the transmission of self-interest values along family generations. The latter finding relates to existing evidence supporting the role of persistent social norms in shaping people’s attitudes

Demographic economics · Econometrics · Economic inequality · Economics · Endogeneity · Inequality · Perception · Population · Social inequality · Socioeconomic status · Sociology · Media Influence and Politics · Psychology · Social Capital and Networks · Social Media and Politics · Demography · Social Psychology

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Unique citing works9
Citations per year1,8
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9

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