SYSTEMATIC DISINFORMATION: THE SPREAD OF MISLEADING INFORMATION AS A COLLECTIVE DYNAMIC ON TWITTER

Disinformation is a worldwide problem and has been a key scholarship in the last few years. This paper contributes to the ongoing discussion on how disinformation spread on social media. This study uses a mixed-methods approach (Social Network Analysis, Connected Concept Analysis and Content Analysi...

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Main Author: Felipe Bonow Soares
Format: Article
Language:English
Published: Universidade Feevale 2022-02-01
Series:Brazilian Creative Industries Journal
Subjects:
Online Access:https://periodicos.feevale.br/seer/index.php/braziliancreativeindustries/article/view/2884
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author Felipe Bonow Soares
author_facet Felipe Bonow Soares
author_sort Felipe Bonow Soares
collection DOAJ
description Disinformation is a worldwide problem and has been a key scholarship in the last few years. This paper contributes to the ongoing discussion on how disinformation spread on social media. This study uses a mixed-methods approach (Social Network Analysis, Connected Concept Analysis and Content Analysis) to analyze four political discussions on Twitter. The results show a structure of asymmetric polarization, in which one group (that supported Bolsonaro in the 2018 Brazilian elections) is strongly associated with disinformation spread. In addition, this study identifies a collective dynamic in disinformation spread as the volume of disinformation floats similarly for different levels of users depending on the context of the discussion analyzed. Based on these results, the idea of “systematic disinformation” is discussed.
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spelling doaj.art-6fa2c5c73e2a4fb1abef8ada13c573ba2022-12-22T04:03:14ZengUniversidade FeevaleBrazilian Creative Industries Journal2763-86772022-02-012152610.25112/bcij.v2i1.28842581SYSTEMATIC DISINFORMATION: THE SPREAD OF MISLEADING INFORMATION AS A COLLECTIVE DYNAMIC ON TWITTERFelipe Bonow Soares0Universidade Federal do Rio Grande do SulDisinformation is a worldwide problem and has been a key scholarship in the last few years. This paper contributes to the ongoing discussion on how disinformation spread on social media. This study uses a mixed-methods approach (Social Network Analysis, Connected Concept Analysis and Content Analysis) to analyze four political discussions on Twitter. The results show a structure of asymmetric polarization, in which one group (that supported Bolsonaro in the 2018 Brazilian elections) is strongly associated with disinformation spread. In addition, this study identifies a collective dynamic in disinformation spread as the volume of disinformation floats similarly for different levels of users depending on the context of the discussion analyzed. Based on these results, the idea of “systematic disinformation” is discussed.https://periodicos.feevale.br/seer/index.php/braziliancreativeindustries/article/view/2884disinformationpolitical discussiontwitter
spellingShingle Felipe Bonow Soares
SYSTEMATIC DISINFORMATION: THE SPREAD OF MISLEADING INFORMATION AS A COLLECTIVE DYNAMIC ON TWITTER
Brazilian Creative Industries Journal
disinformation
political discussion
twitter
title SYSTEMATIC DISINFORMATION: THE SPREAD OF MISLEADING INFORMATION AS A COLLECTIVE DYNAMIC ON TWITTER
title_full SYSTEMATIC DISINFORMATION: THE SPREAD OF MISLEADING INFORMATION AS A COLLECTIVE DYNAMIC ON TWITTER
title_fullStr SYSTEMATIC DISINFORMATION: THE SPREAD OF MISLEADING INFORMATION AS A COLLECTIVE DYNAMIC ON TWITTER
title_full_unstemmed SYSTEMATIC DISINFORMATION: THE SPREAD OF MISLEADING INFORMATION AS A COLLECTIVE DYNAMIC ON TWITTER
title_short SYSTEMATIC DISINFORMATION: THE SPREAD OF MISLEADING INFORMATION AS A COLLECTIVE DYNAMIC ON TWITTER
title_sort systematic disinformation the spread of misleading information as a collective dynamic on twitter
topic disinformation
political discussion
twitter
url https://periodicos.feevale.br/seer/index.php/braziliancreativeindustries/article/view/2884
work_keys_str_mv AT felipebonowsoares systematicdisinformationthespreadofmisleadinginformationasacollectivedynamicontwitter