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 Pub Date : 2023-06-02 DOI:10.1609/icwsm.v17i1.22205

Rachith Aiyappa, Matthew R. DeVerna, Manita Pote, Bao Tran Truong, Wanying Zhao, David Axelrod, Aria Pessianzadeh, Zoher Kachwala, Munjung Kim, Ozgur Can Seckin, Minsuk Kim, Sunny Gandhi, Amrutha Manikonda, Francesco Pierri, Filippo Menczer, Kai-Cheng Yang

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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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关于2022年美国中期选举的社交媒体帖子的多平台收集

数以百万计的公民利用社交媒体来讨论重要的政治问题。政客们利用这些平台与公众建立联系，并宣传自己的政策立场。因此，来自社交媒体的数据使得许多关于政治讨论的研究成为可能。虽然大多数分析仅限于来自单个平台的数据，但人们被嵌入到跨越多个社交网络的更大的信息生态系统中。在这里，我们描述并提供对印第安纳大学2022年美国中期多平台社交媒体数据集(MEIU22)的访问，这是来自Twitter, Facebook, Instagram, Reddit和4chan的社交媒体帖子的集合。meu22根据综合关键词列表链接中期选举相关帖子，并追踪2022年10月1日至12月25日期间1011名候选人的社交媒体账户。我们还发布了管道的源代码，以支持类似的多平台研究项目。

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Proceedings of the International AAAI Conference on Web and Social Media

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