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dc.contributor.authorIqbal, Waleed
dc.contributor.authorTyson, Gareth
dc.contributor.authorGhafouri, Vahid 
dc.contributor.authorSuarez-Tangil, Guillermo 
dc.contributor.authorCastro, Ignacio 
dc.date.accessioned2023-04-10T17:29:19Z
dc.date.available2023-04-10T17:29:19Z
dc.date.issued2022-11-08
dc.identifier.urihttps://hdl.handle.net/20.500.12761/1681
dc.description.abstractSocioeconomic gaps, particularly income inequality, affect crime and public opinion. Although official data sources can identify these patterns of income-based social disparity, a fundamental question remains: Can similar social inequalities be found using abundant Internet user activity? (i) How does a neighbourhood's income affect crime discussion in the neighbourhood? (ii) Can user-generated data predict a neighbourhood's income? To answer these questions, we collected 2.5 million Nextdoor posts from 67608 US and UK neighbourhoods between November 2020 and September 2021. We use official US and UK data sources for crime and income information.es
dc.language.isoenges
dc.titleExploring Online Manifestations of Real-World Inequalitieses
dc.typeconference objectes
dc.conference.date25-27 October 2022es
dc.conference.placeNice, Francees
dc.conference.titleInternet Measurement Conference*
dc.event.typeconferencees
dc.pres.typeposteres
dc.rights.accessRightsopen accesses
dc.acronymIMC*
dc.rankA*
dc.description.refereedTRUEes
dc.description.statuspubes


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