A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections
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arXiv
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| Autori principali: | , , , , , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| _version_ | 1866918029369016320 |
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| author | Aiyappa, Rachith DeVerna, Matthew R. Pote, Manita Truong, Bao Tran Zhao, Wanying Axelrod, David Pessianzadeh, Aria Kachwala, Zoher Kim, Munjung Seckin, Ozgur Can Kim, Minsuk Gandhi, Sunny Manikonda, Amrutha Pierri, Francesco Menczer, Filippo Yang, Kai-Cheng |
| author_facet | Aiyappa, Rachith DeVerna, Matthew R. Pote, Manita Truong, Bao Tran Zhao, Wanying Axelrod, David Pessianzadeh, Aria Kachwala, Zoher Kim, Munjung Seckin, Ozgur Can Kim, Minsuk Gandhi, Sunny Manikonda, Amrutha Pierri, Francesco Menczer, Filippo Yang, Kai-Cheng |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2301_06287 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections Aiyappa, Rachith DeVerna, Matthew R. Pote, Manita Truong, Bao Tran Zhao, Wanying Axelrod, David Pessianzadeh, Aria Kachwala, Zoher Kim, Munjung Seckin, Ozgur Can Kim, Minsuk Gandhi, Sunny Manikonda, Amrutha Pierri, Francesco Menczer, Filippo Yang, Kai-Cheng Social and Information Networks 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. |
| title | A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2301.06287 |