Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago

Recent studies suggest social media shapes the transmission of firearm violence in high-poverty, urban neighborhoods. However, the exact pathways by which content on social media becomes threatening has not been studied. We consider a dataset of tweets by gang-involved Chicago youth that are coded f...

Descripción completa

Detalles Bibliográficos
Autores principales: Patton, Desmond Upton, Rambow, Owen, Auerbach, Jonathan, Li, Kevin, Frey, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550197/
https://www.ncbi.nlm.nih.gov/pubmed/31304296
http://dx.doi.org/10.1038/s41746-018-0020-x
_version_ 1783424149157314560
author Patton, Desmond Upton
Rambow, Owen
Auerbach, Jonathan
Li, Kevin
Frey, William
author_facet Patton, Desmond Upton
Rambow, Owen
Auerbach, Jonathan
Li, Kevin
Frey, William
author_sort Patton, Desmond Upton
collection PubMed
description Recent studies suggest social media shapes the transmission of firearm violence in high-poverty, urban neighborhoods. However, the exact pathways by which content on social media becomes threatening has not been studied. We consider a dataset of tweets by gang-involved Chicago youth that are coded for expressions of aggression and/or loss. Using a permutation test and mixed-effects log linear regression, we find that aggression and loss tweets do not occur randomly, and furthermore that in a 2-day window after loss expressions we find an increase in aggressive tweets. We discuss implications for intervention.
format Online
Article
Text
id pubmed-6550197
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-65501972019-07-12 Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago Patton, Desmond Upton Rambow, Owen Auerbach, Jonathan Li, Kevin Frey, William NPJ Digit Med Brief Communication Recent studies suggest social media shapes the transmission of firearm violence in high-poverty, urban neighborhoods. However, the exact pathways by which content on social media becomes threatening has not been studied. We consider a dataset of tweets by gang-involved Chicago youth that are coded for expressions of aggression and/or loss. Using a permutation test and mixed-effects log linear regression, we find that aggression and loss tweets do not occur randomly, and furthermore that in a 2-day window after loss expressions we find an increase in aggressive tweets. We discuss implications for intervention. Nature Publishing Group UK 2018-03-28 /pmc/articles/PMC6550197/ /pubmed/31304296 http://dx.doi.org/10.1038/s41746-018-0020-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Brief Communication
Patton, Desmond Upton
Rambow, Owen
Auerbach, Jonathan
Li, Kevin
Frey, William
Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago
title Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago
title_full Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago
title_fullStr Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago
title_full_unstemmed Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago
title_short Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago
title_sort expressions of loss predict aggressive comments on twitter among gang-involved youth in chicago
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550197/
https://www.ncbi.nlm.nih.gov/pubmed/31304296
http://dx.doi.org/10.1038/s41746-018-0020-x
work_keys_str_mv AT pattondesmondupton expressionsoflosspredictaggressivecommentsontwitteramongganginvolvedyouthinchicago
AT rambowowen expressionsoflosspredictaggressivecommentsontwitteramongganginvolvedyouthinchicago
AT auerbachjonathan expressionsoflosspredictaggressivecommentsontwitteramongganginvolvedyouthinchicago
AT likevin expressionsoflosspredictaggressivecommentsontwitteramongganginvolvedyouthinchicago
AT freywilliam expressionsoflosspredictaggressivecommentsontwitteramongganginvolvedyouthinchicago

Ejemplares similares