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The rumour spectrum

Rumour is an old social phenomenon used in politics and other public spaces. It has been studied for only hundred years by sociologists and psychologists by qualitative means. Social media platforms open new opportunities to improve quantitative analyses. We scanned all scientific literature to find...

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Detalles Bibliográficos
Autor principal: Turenne, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774683/
https://www.ncbi.nlm.nih.gov/pubmed/29351289
http://dx.doi.org/10.1371/journal.pone.0189080
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author Turenne, Nicolas
author_facet Turenne, Nicolas
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description Rumour is an old social phenomenon used in politics and other public spaces. It has been studied for only hundred years by sociologists and psychologists by qualitative means. Social media platforms open new opportunities to improve quantitative analyses. We scanned all scientific literature to find relevant features. We made a quantitative screening of some specific rumours (in French and in English). Firstly, we identified some sources of information to find them. Secondly, we compiled different reference, rumouring and event datasets. Thirdly, we considered two facets of a rumour: the way it can spread to other users, and the syntagmatic content that may or may not be specific for a rumour. We found 53 features, clustered into six categories, which are able to describe a rumour message. The spread of a rumour is multi-harmonic having different frequencies and spikes, and can survive several years. Combinations of words (n-grams and skip-grams) are not typical of expressivity between rumours and news but study of lexical transition from a time period to the next goes in the sense of transmission pattern as described by Allport theory of transmission. A rumour can be interpreted as a speech act but with transmission patterns.
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spelling pubmed-57746832018-01-26 The rumour spectrum Turenne, Nicolas PLoS One Research Article Rumour is an old social phenomenon used in politics and other public spaces. It has been studied for only hundred years by sociologists and psychologists by qualitative means. Social media platforms open new opportunities to improve quantitative analyses. We scanned all scientific literature to find relevant features. We made a quantitative screening of some specific rumours (in French and in English). Firstly, we identified some sources of information to find them. Secondly, we compiled different reference, rumouring and event datasets. Thirdly, we considered two facets of a rumour: the way it can spread to other users, and the syntagmatic content that may or may not be specific for a rumour. We found 53 features, clustered into six categories, which are able to describe a rumour message. The spread of a rumour is multi-harmonic having different frequencies and spikes, and can survive several years. Combinations of words (n-grams and skip-grams) are not typical of expressivity between rumours and news but study of lexical transition from a time period to the next goes in the sense of transmission pattern as described by Allport theory of transmission. A rumour can be interpreted as a speech act but with transmission patterns. Public Library of Science 2018-01-19 /pmc/articles/PMC5774683/ /pubmed/29351289 http://dx.doi.org/10.1371/journal.pone.0189080 Text en © 2018 Nicolas Turenne http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Turenne, Nicolas
The rumour spectrum
title The rumour spectrum
title_full The rumour spectrum
title_fullStr The rumour spectrum
title_full_unstemmed The rumour spectrum
title_short The rumour spectrum
title_sort rumour spectrum
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774683/
https://www.ncbi.nlm.nih.gov/pubmed/29351289
http://dx.doi.org/10.1371/journal.pone.0189080
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