Political uses of the ancient past on social media are predominantly negative and extreme
This study assesses whether references to the ancient past in debates about political issues on social media over-represent negative and extreme views. Using precision-recall, we test the performance of three sentiment analysis methods (VADER, TextBlob and Flair Sentiment) on a corpus of 1,478,483 p...
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| Published in | PloS one Vol. 19; no. 9; p. e0308919 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
04.09.2024
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1932-6203 1932-6203 |
| DOI | 10.1371/journal.pone.0308919 |
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| Abstract | This study assesses whether references to the ancient past in debates about political issues on social media over-represent negative and extreme views. Using precision-recall, we test the performance of three sentiment analysis methods (VADER, TextBlob and Flair Sentiment) on a corpus of 1,478,483 posts, comments and replies published on Brexit-themed Facebook pages between 2015 and 2017. Drawing on the results of VADER and manual coding, we demonstrate that: 1) texts not containing keywords relating to the Iron Age, Roman and medieval (IARM) past are mostly neutral and 2) texts with IARM keywords express more negative and extreme sentiment than those without keywords. Our findings show that mentions of the ancient past in political discourse on multi-sided issues on social media are likely to indicate the presence of hostile and polarised opinions. |
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| AbstractList | This study assesses whether references to the ancient past in debates about political issues on social media over-represent negative and extreme views. Using precision-recall, we test the performance of three sentiment analysis methods (VADER, TextBlob and Flair Sentiment) on a corpus of 1,478,483 posts, comments and replies published on Brexit-themed Facebook pages between 2015 and 2017. Drawing on the results of VADER and manual coding, we demonstrate that: 1) texts not containing keywords relating to the Iron Age, Roman and medieval (IARM) past are mostly neutral and 2) texts with IARM keywords express more negative and extreme sentiment than those without keywords. Our findings show that mentions of the ancient past in political discourse on multi-sided issues on social media are likely to indicate the presence of hostile and polarised opinions. This study assesses whether references to the ancient past in debates about political issues on social media over-represent negative and extreme views. Using precision-recall, we test the performance of three sentiment analysis methods (VADER, TextBlob and Flair Sentiment) on a corpus of 1,478,483 posts, comments and replies published on Brexit-themed Facebook pages between 2015 and 2017. Drawing on the results of VADER and manual coding, we demonstrate that: 1) texts not containing keywords relating to the Iron Age, Roman and medieval (IARM) past are mostly neutral and 2) texts with IARM keywords express more negative and extreme sentiment than those without keywords. Our findings show that mentions of the ancient past in political discourse on multi-sided issues on social media are likely to indicate the presence of hostile and polarised opinions.This study assesses whether references to the ancient past in debates about political issues on social media over-represent negative and extreme views. Using precision-recall, we test the performance of three sentiment analysis methods (VADER, TextBlob and Flair Sentiment) on a corpus of 1,478,483 posts, comments and replies published on Brexit-themed Facebook pages between 2015 and 2017. Drawing on the results of VADER and manual coding, we demonstrate that: 1) texts not containing keywords relating to the Iron Age, Roman and medieval (IARM) past are mostly neutral and 2) texts with IARM keywords express more negative and extreme sentiment than those without keywords. Our findings show that mentions of the ancient past in political discourse on multi-sided issues on social media are likely to indicate the presence of hostile and polarised opinions. |
| Audience | Academic |
| Author | Witte, Jessica Bonacchi, Chiara Altaweel, Mark |
| AuthorAffiliation | 1 Department of Archaeology, School of History, Classics and Archaeology, University of Edinburgh, Edinburgh, United Kingdom 2 Institute of Archaeology, University College London, London, United Kingdom CCET: Chandigarh College of Engineering and Technology, INDIA |
| AuthorAffiliation_xml | – name: 1 Department of Archaeology, School of History, Classics and Archaeology, University of Edinburgh, Edinburgh, United Kingdom – name: 2 Institute of Archaeology, University College London, London, United Kingdom – name: CCET: Chandigarh College of Engineering and Technology, INDIA |
| Author_xml | – sequence: 1 givenname: Chiara orcidid: 0000-0002-0872-0614 surname: Bonacchi fullname: Bonacchi, Chiara – sequence: 2 givenname: Jessica orcidid: 0000-0003-1144-8065 surname: Witte fullname: Witte, Jessica – sequence: 3 givenname: Mark surname: Altaweel fullname: Altaweel, Mark |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39231095$$D View this record in MEDLINE/PubMed |
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| Snippet | This study assesses whether references to the ancient past in debates about political issues on social media over-represent negative and extreme views. Using... |
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| SubjectTerms | Biology and Life Sciences Computational linguistics Computer and Information Sciences Data mining Decision-making Dictionaries Digital media Extremism Health aspects Humans Iron Age Language processing Machine learning Methods Natural language interfaces Political aspects Politics Sentiment analysis Social Media Social networks Social Sciences Texts |
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| Title | Political uses of the ancient past on social media are predominantly negative and extreme |
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