A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections

Authors

  • Rachith Aiyappa Observatory on Social Media, Indiana University, Bloomington, USA
  • Matthew R. DeVerna Observatory on Social Media, Indiana University, Bloomington, USA
  • Manita Pote Observatory on Social Media, Indiana University, Bloomington, USA
  • Bao Tran Truong Observatory on Social Media, Indiana University, Bloomington, USA
  • Wanying Zhao Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, USA
  • David Axelrod Observatory on Social Media, Indiana University, Bloomington, USA
  • Aria Pessianzadeh Observatory on Social Media, Indiana University, Bloomington, USA
  • Zoher Kachwala Observatory on Social Media, Indiana University, Bloomington, USA
  • Munjung Kim Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, USA
  • Ozgur Can Seckin Observatory on Social Media, Indiana University, Bloomington, USA
  • Minsuk Kim Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, USA
  • Sunny Gandhi Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, USA
  • Amrutha Manikonda Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, USA
  • Francesco Pierri Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy
  • Filippo Menczer Observatory on Social Media, Indiana University, Bloomington, USA
  • Kai-Cheng Yang Observatory on Social Media, Indiana University, Bloomington, USA

DOI:

https://doi.org/10.1609/icwsm.v17i1.22205

Keywords:

Qualitative and quantitative studies of social media, Organizational and group behavior mediated by social media; interpersonal communication mediated by social media, Measuring predictability of real world phenomena based on social media, e.g., spanning politics, finance, and health, Web and Social Media

Abstract

Social media are utilized by millions of citizens to discuss important political issues. Politicians use these platforms to connect with the public and broadcast policy positions. Therefore, data from social media has enabled many studies of political discussion. While most analyses are limited to data from individual platforms, people are embedded in a larger information ecosystem spanning multiple social networks. Here we describe and provide access to the Indiana University 2022 U.S. Midterms Multi-Platform Social Media Dataset (MEIU22), a collection of social media posts from Twitter, Facebook, Instagram, Reddit, and 4chan. MEIU22 links to posts about the midterm elections based on a comprehensive list of keywords and tracks the social media accounts of 1,011 candidates from October 1 to December 25, 2022. We also publish the source code of our pipeline to enable similar multi-platform research projects.

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Published

2023-06-02

How to Cite

Aiyappa, R., DeVerna, M. R., Pote, M., Tran Truong, B., Zhao, W., Axelrod, D., Pessianzadeh, A., Kachwala, Z., Kim, M., Can Seckin, O., Kim, M., Gandhi, S., Manikonda, A., Pierri, F., Menczer, F., & Yang, K.-C. (2023). A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections. Proceedings of the International AAAI Conference on Web and Social Media, 17(1), 981-989. https://doi.org/10.1609/icwsm.v17i1.22205

Issue

Vol. 17 (2023): Proceedings of the Seventeenth International AAAI Conference on Web and Social Media

Section

Dataset Papers