Just Another Day on Twitter: A Complete 24 Hours of Twitter Data


  • Jürgen Pfeffer School of Social Science and Technology, Technical University of Munich, Germany
  • Daniel Matter School of Social Science and Technology, Technical University of Munich, Germany
  • Kokil Jaidka Centre for Trusted Internet and Community, National University of Singapore, Singapore
  • Onur Varol Computer Science Department, Sabanci University, Turkey
  • Afra Mashhadi School of Science, Technology, Engineering & Mathematics, University of Washington (Bothell), USA
  • Jana Lasser Faculty of Computer Science and Biomedical Engineering, Graz University of Technology, Austria Complexity Science Hub Vienna, Austria
  • Dennis Assenmacher GESIS -- Leibniz Institute for the Social Sciences, Germany
  • Siqi Wu School of Information, University of Michigan, USA
  • Diyi Yang Computer Science Department, Stanford University, USA
  • Cornelia Brantner Department of Geography, Media and Communication, Karlstad University, Sweden
  • Daniel M. Romero School of Information, University of Michigan, USA
  • Jahna Otterbacher Faculty of Pure and Applied Sciences, Open University of Cyprus \& CYENS CoE, Cyprus
  • Carsten Schwemmer Department of Sociology, Ludwig Maximilian University of Munich, Germany
  • Kenneth Joseph Department of Computer Science and Engineering, University at Buffalo, USA
  • David Garcia Department of Politics and Public Administration, University of Konstanz, Germany
  • Fred Morstatter Information Sciences Institute, University of Southern California, USA




, Web and Social Media, Social media usage on mobile devices; location, human mobility, and behavior


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.




How to Cite

Pfeffer, J., Matter, D., Jaidka, K., Varol, O., Mashhadi, A., Lasser, J., Assenmacher, D., Wu, S., Yang, D., Brantner, C., Romero, D. M., Otterbacher, J., Schwemmer, C., Joseph, K., Garcia, D., & Morstatter, F. (2023). Just Another Day on Twitter: A Complete 24 Hours of Twitter Data. Proceedings of the International AAAI Conference on Web and Social Media, 17(1), 1073-1081. https://doi.org/10.1609/icwsm.v17i1.22215