Mapping the global election landscape on social media in 2024

In 2024, a significant portion of the global population will participate in elections, creating an opportunity to analyze how information spreads and how users behave on social media. This study examines the media landscape on Facebook by analyzing posts from political parties and major news outlets...

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Vydáno v:	PloS one Ročník 20; číslo 2; s. e0316271
Hlavní autoři:	Pecile, Giulio, Di Marco, Niccolò, Cinelli, Matteo, Quattrociocchi, Walter
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 05.02.2025 Public Library of Science (PLoS)
Témata:	Clustering Communication Computer and Information Sciences Datasets Digital media Discourse Discourse analysis Elections Europe False information Humans India Interest groups International aspects Mapping Mass media Mexico News wire services People and Places Physical Sciences Political aspects Political discourse Political ideologies Political parties Politics Population studies Principal Component Analysis Principal components analysis Public participation Research and Analysis Methods Social aspects Social Media Social networks Social Sciences Sociological research Topics Trends United States Variables Mexico Europe India United States United Kingdom > UK
ISSN:	1932-6203, 1932-6203
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Abstract	In 2024, a significant portion of the global population will participate in elections, creating an opportunity to analyze how information spreads and how users behave on social media. This study examines the media landscape on Facebook by analyzing posts from political parties and major news outlets in Europe, Mexico, and India. By identifying key topics and measuring public engagement, we uncover patterns in political discourse. Using Principal Component Analysis, we explore how these topics are related and distinguish trends in audience interaction. Our findings show how certain topics resonate differently across political groups, providing insights into the relationship between media content, political ideology, and user engagement during elections.
AbstractList	In 2024, a significant portion of the global population will participate in elections, creating an opportunity to analyze how information spreads and how users behave on social media. This study examines the media landscape on Facebook by analyzing posts from political parties and major news outlets in Europe, Mexico, and India. By identifying key topics and measuring public engagement, we uncover patterns in political discourse. Using Principal Component Analysis, we explore how these topics are related and distinguish trends in audience interaction. Our findings show how certain topics resonate differently across political groups, providing insights into the relationship between media content, political ideology, and user engagement during elections. In 2024, a significant portion of the global population will participate in elections, creating an opportunity to analyze how information spreads and how users behave on social media. This study examines the media landscape on Facebook by analyzing posts from political parties and major news outlets in Europe, Mexico, and India. By identifying key topics and measuring public engagement, we uncover patterns in political discourse. Using Principal Component Analysis, we explore how these topics are related and distinguish trends in audience interaction. Our findings show how certain topics resonate differently across political groups, providing insights into the relationship between media content, political ideology, and user engagement during elections.In 2024, a significant portion of the global population will participate in elections, creating an opportunity to analyze how information spreads and how users behave on social media. This study examines the media landscape on Facebook by analyzing posts from political parties and major news outlets in Europe, Mexico, and India. By identifying key topics and measuring public engagement, we uncover patterns in political discourse. Using Principal Component Analysis, we explore how these topics are related and distinguish trends in audience interaction. Our findings show how certain topics resonate differently across political groups, providing insights into the relationship between media content, political ideology, and user engagement during elections.
Audience	Academic
Author	Pecile, Giulio Di Marco, Niccolò Cinelli, Matteo Quattrociocchi, Walter
AuthorAffiliation	Department of Computer Science, Sapienza University of Rome, Rome, Italy University of Salerno, ITALY
AuthorAffiliation_xml	– name: University of Salerno, ITALY – name: Department of Computer Science, Sapienza University of Rome, Rome, Italy
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BackLink	https://www.ncbi.nlm.nih.gov/pubmed/39908218$$D View this record in MEDLINE/PubMed
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SubjectTerms	Clustering Communication Computer and Information Sciences Datasets Digital media Discourse Discourse analysis Elections Europe False information Humans India Interest groups International aspects Mapping Mass media Mexico News wire services People and Places Physical Sciences Political aspects Political discourse Political ideologies Political parties Politics Population studies Principal Component Analysis Principal components analysis Public participation Research and Analysis Methods Social aspects Social Media Social networks Social Sciences Sociological research Topics Trends United States Variables
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Title	Mapping the global election landscape on social media in 2024
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