Exploring Online Manifestations of Real-World Inequalities

dc.contributor.author	Iqbal, Waleed
dc.contributor.author	Tyson, Gareth
dc.contributor.author	Ghafouri, Vahid
dc.contributor.author	Suarez-Tangil, Guillermo
dc.contributor.author	Castro, Ignacio
dc.date.accessioned	2023-04-10T17:29:19Z
dc.date.available	2023-04-10T17:29:19Z
dc.date.issued	2022-11-08
dc.identifier.uri	https://hdl.handle.net/20.500.12761/1681
dc.description.abstract	Socioeconomic 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.iso	eng	es
dc.title	Exploring Online Manifestations of Real-World Inequalities	es
dc.type	conference object	es
dc.conference.date	25-27 October 2022	es
dc.conference.place	Nice, France	es
dc.conference.title	Internet Measurement Conference	*
dc.event.type	conference	es
dc.pres.type	poster	es
dc.rights.accessRights	open access	es
dc.acronym	IMC	*
dc.rank	A	*
dc.description.refereed	TRUE	es
dc.description.status	pub	es