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Exploring Twitter to Analyze the Public’s Reaction Patterns to Recently Reported Homicides in London
Crime is an ubiquitous part of society. The way people express their concerns about crimes has been of particular interest to the scientific community. Over time, the numbers and kinds of available communication channels have increased. Today, social media services, such Twitter, present a convenien...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374728/ https://www.ncbi.nlm.nih.gov/pubmed/25811780 http://dx.doi.org/10.1371/journal.pone.0121848 |
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author | Kounadi, Ourania Lampoltshammer, Thomas J. Groff, Elizabeth Sitko, Izabela Leitner, Michael |
author_facet | Kounadi, Ourania Lampoltshammer, Thomas J. Groff, Elizabeth Sitko, Izabela Leitner, Michael |
author_sort | Kounadi, Ourania |
collection | PubMed |
description | Crime is an ubiquitous part of society. The way people express their concerns about crimes has been of particular interest to the scientific community. Over time, the numbers and kinds of available communication channels have increased. Today, social media services, such Twitter, present a convenient way to express opinions and concerns about crimes. The main objective of this study is to explore people’s perception of homicides, specifically, how the characteristics and proximity of the event affect the public’s concern about it. The analysis explores Twitter messages that refer to homicides that occurred in London in 2012. In particular, the dependence of tweeting propensity on the proximity, in space and time, of a crime incident and of people being concerned about that particular incident are examined. Furthermore, the crime characteristics of the homicides are analysed using logistic regression analysis. The results show that the proximity of the Twitter users’ estimated home locations to the homicides’ locations impacts on whether the associated crime news is spread or not and how quickly. More than half of the homicide related tweets are sent within the first week and the majority of them are sent within a month of the incident’s occurrence. Certain crime characteristics, including the presence of a knife, a young victim, a British victim, or a homicide committed by a gang are predictors of the crime-tweets posting frequency. |
format | Online Article Text |
id | pubmed-4374728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43747282015-04-04 Exploring Twitter to Analyze the Public’s Reaction Patterns to Recently Reported Homicides in London Kounadi, Ourania Lampoltshammer, Thomas J. Groff, Elizabeth Sitko, Izabela Leitner, Michael PLoS One Research Article Crime is an ubiquitous part of society. The way people express their concerns about crimes has been of particular interest to the scientific community. Over time, the numbers and kinds of available communication channels have increased. Today, social media services, such Twitter, present a convenient way to express opinions and concerns about crimes. The main objective of this study is to explore people’s perception of homicides, specifically, how the characteristics and proximity of the event affect the public’s concern about it. The analysis explores Twitter messages that refer to homicides that occurred in London in 2012. In particular, the dependence of tweeting propensity on the proximity, in space and time, of a crime incident and of people being concerned about that particular incident are examined. Furthermore, the crime characteristics of the homicides are analysed using logistic regression analysis. The results show that the proximity of the Twitter users’ estimated home locations to the homicides’ locations impacts on whether the associated crime news is spread or not and how quickly. More than half of the homicide related tweets are sent within the first week and the majority of them are sent within a month of the incident’s occurrence. Certain crime characteristics, including the presence of a knife, a young victim, a British victim, or a homicide committed by a gang are predictors of the crime-tweets posting frequency. Public Library of Science 2015-03-26 /pmc/articles/PMC4374728/ /pubmed/25811780 http://dx.doi.org/10.1371/journal.pone.0121848 Text en © 2015 Kounadi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kounadi, Ourania Lampoltshammer, Thomas J. Groff, Elizabeth Sitko, Izabela Leitner, Michael Exploring Twitter to Analyze the Public’s Reaction Patterns to Recently Reported Homicides in London |
title | Exploring Twitter to Analyze the Public’s Reaction Patterns to Recently Reported Homicides in London |
title_full | Exploring Twitter to Analyze the Public’s Reaction Patterns to Recently Reported Homicides in London |
title_fullStr | Exploring Twitter to Analyze the Public’s Reaction Patterns to Recently Reported Homicides in London |
title_full_unstemmed | Exploring Twitter to Analyze the Public’s Reaction Patterns to Recently Reported Homicides in London |
title_short | Exploring Twitter to Analyze the Public’s Reaction Patterns to Recently Reported Homicides in London |
title_sort | exploring twitter to analyze the public’s reaction patterns to recently reported homicides in london |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374728/ https://www.ncbi.nlm.nih.gov/pubmed/25811780 http://dx.doi.org/10.1371/journal.pone.0121848 |
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