Why it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter.
Despite the prevalence of disagreement between users on social media platforms, studies of online debates typically only look at positive online interactions, represented as networks with positive ties. In this paper, we hypothesize that the systematic neglect of conflict that these network analyses...
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Public Library of Science (PLoS)
2021
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oai:doaj.org-article:d99f8ab90bc14a00b3cc392e74c8cde02021-12-02T20:19:20ZWhy it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter.1932-620310.1371/journal.pone.0256696https://doaj.org/article/d99f8ab90bc14a00b3cc392e74c8cde02021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256696https://doaj.org/toc/1932-6203Despite the prevalence of disagreement between users on social media platforms, studies of online debates typically only look at positive online interactions, represented as networks with positive ties. In this paper, we hypothesize that the systematic neglect of conflict that these network analyses induce leads to misleading results on polarized debates. We introduce an approach to bring in negative user-to-user interaction, by analyzing online debates using signed networks with positive and negative ties. We apply this approach to the Dutch Twitter debate on 'Black Pete'-an annual Dutch celebration with racist characteristics. Using a dataset of 430,000 tweets, we apply natural language processing and machine learning to identify: (i) users' stance in the debate; and (ii) whether the interaction between users is positive (supportive) or negative (antagonistic). Comparing the resulting signed network with its unsigned counterpart, the retweet network, we find that traditional unsigned approaches distort debates by conflating conflict with indifference, and that the inclusion of negative ties changes and enriches our understanding of coalitions and division within the debate. Our analysis reveals that some groups are attacking each other, while others rather seem to be located in fragmented Twitter spaces. Our approach identifies new network positions of individuals that correspond to roles in the debate, such as leaders and scapegoats. These findings show that representing the polarity of user interactions as signs of ties in networks substantively changes the conclusions drawn from polarized social media activity, which has important implications for various fields studying online debates using network analysis.Anna KeucheniusPetter TörnbergJustus UitermarkPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0256696 (2021) |
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Medicine R Science Q Anna Keuchenius Petter Törnberg Justus Uitermark Why it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter. |
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Despite the prevalence of disagreement between users on social media platforms, studies of online debates typically only look at positive online interactions, represented as networks with positive ties. In this paper, we hypothesize that the systematic neglect of conflict that these network analyses induce leads to misleading results on polarized debates. We introduce an approach to bring in negative user-to-user interaction, by analyzing online debates using signed networks with positive and negative ties. We apply this approach to the Dutch Twitter debate on 'Black Pete'-an annual Dutch celebration with racist characteristics. Using a dataset of 430,000 tweets, we apply natural language processing and machine learning to identify: (i) users' stance in the debate; and (ii) whether the interaction between users is positive (supportive) or negative (antagonistic). Comparing the resulting signed network with its unsigned counterpart, the retweet network, we find that traditional unsigned approaches distort debates by conflating conflict with indifference, and that the inclusion of negative ties changes and enriches our understanding of coalitions and division within the debate. Our analysis reveals that some groups are attacking each other, while others rather seem to be located in fragmented Twitter spaces. Our approach identifies new network positions of individuals that correspond to roles in the debate, such as leaders and scapegoats. These findings show that representing the polarity of user interactions as signs of ties in networks substantively changes the conclusions drawn from polarized social media activity, which has important implications for various fields studying online debates using network analysis. |
format |
article |
author |
Anna Keuchenius Petter Törnberg Justus Uitermark |
author_facet |
Anna Keuchenius Petter Törnberg Justus Uitermark |
author_sort |
Anna Keuchenius |
title |
Why it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter. |
title_short |
Why it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter. |
title_full |
Why it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter. |
title_fullStr |
Why it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter. |
title_full_unstemmed |
Why it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter. |
title_sort |
why it is important to consider negative ties when studying polarized debates: a signed network analysis of a dutch cultural controversy on twitter. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/d99f8ab90bc14a00b3cc392e74c8cde0 |
work_keys_str_mv |
AT annakeuchenius whyitisimportanttoconsidernegativetieswhenstudyingpolarizeddebatesasignednetworkanalysisofadutchculturalcontroversyontwitter AT pettertornberg whyitisimportanttoconsidernegativetieswhenstudyingpolarizeddebatesasignednetworkanalysisofadutchculturalcontroversyontwitter AT justusuitermark whyitisimportanttoconsidernegativetieswhenstudyingpolarizeddebatesasignednetworkanalysisofadutchculturalcontroversyontwitter |
_version_ |
1718374255531393024 |