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Just Another Day on Twitter: A Complete 24 Hours of Twitter Data
Technical University of Munich, Germany.
Technical University of Munich, Germany.
National University of Singapore, Singapore.
Sabanci University, Turkey.
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2023 (English)In: Proceedings of the International AAAI Conference on Web and Social Media / [ed] Yu-Ru Lin; Meeyoung Cha; Daniele Quercia, Association for the Advancement of Artificial Intelligence , 2023, Vol. 17, no 1, p. 1073-1081Conference paper, Published paper (Refereed)
Abstract [en]

At the end of October 2022, Elon Musk concluded his acquisition of Twitter. In the weeks and months before that, several questions were publicly discussed that were not only of interest to the platform's future buyers, but also of high relevance to the Computational Social Science research community. For example, how many active users does the platform have? What percentage of accounts on the site are bots? And, what are the dominating topics and sub-topical spheres on the platform? In a globally coordinated effort of 80 scholars to shed light on these questions, and to offer a dataset that will equip other researchers to do the same, we have collected all 375 million tweets published within a 24-hour time period starting on September 21, 2022. To the best of our knowledge, this is the first complete 24-hour Twitter dataset that is available for the research community. With it, the present work aims to accomplish two goals. First, we seek to answer the aforementioned questions and provide descriptive metrics about Twitter that can serve as references for other researchers. Second, we create a baseline dataset for future research that can be used to study the potential impact of the platform's ownership change.

Place, publisher, year, edition, pages
Association for the Advancement of Artificial Intelligence , 2023. Vol. 17, no 1, p. 1073-1081
Series
Proceedings of the International AAAI Conference on Web and Social Media, ISSN 2162-3449, E-ISSN 2334-0770
Keywords [en]
Social media, Twitter, Web and Social Media, Social media usage on mobile devices; location, human mobility, and behavior
National Category
Media and Communications Computer and Information Sciences
Research subject
Media and Communication Studies
Identifiers
URN: urn:nbn:se:kau:diva-95061DOI: 10.1609/icwsm.v17i1.22215ISBN: 978-1-57735-879-4 (print)ISBN: 1-57735-879-1 (print)OAI: oai:DiVA.org:kau-95061DiVA, id: diva2:1763169
Conference
The Seventeenth International AAAI Conference on Web and Social Media (ICWSM 2023). June 5–8, 2023, Limassol, Cyprus.
Available from: 2023-06-06 Created: 2023-06-06 Last updated: 2025-01-31Bibliographically approved

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Brantner, Cornelia

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other style
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Language
  • de-DE
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  • Other locale
More languages
Output format
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