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- Publisher Website: 10.1177/20563051251337541
- Scopus: eid_2-s2.0-105007106157
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Article: Candidates Be Posting: Multi-Platform Strategies and Partisan Preferences in the 2022 U.S. Midterm Elections
| Title | Candidates Be Posting: Multi-Platform Strategies and Partisan Preferences in the 2022 U.S. Midterm Elections |
|---|---|
| Authors | |
| Keywords | mobilization multi-platform platform affordance social media |
| Issue Date | 30-May-2025 |
| Publisher | SAGE Publications |
| Citation | Social Media + Society, 2025, v. 11, n. 2 How to Cite? |
| Abstract | In this multi-platform, comparative study, we analyze social media messages from political candidates (N = 1,517) running for Congress during the 2022 U.S. Midterm election. We collect data from seven social media platforms: Facebook, Twitter, Truth Social, Gettr, Instagram, YouTube, and Rumble over the 4 weeks before and after election day. With this unique dataset of posts, we apply computational methods to identify messages that sought to mobilize individuals (online and offline) to donate money, vote, attend events, engage with the campaign online, and visit the campaign’s content on other platforms. We find that Democrats were not on alt-tech platforms in 2022 and that both Republicans and Democrats use video-based platforms for multiple mobilization strategies. Mobilization messages varied for House and Senate candidates of both parties across platforms, before and after election day. |
| Persistent Identifier | http://hdl.handle.net/10722/358186 |
| ISSN | 2023 Impact Factor: 5.5 2023 SCImago Journal Rankings: 2.156 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lukito, Josephine | - |
| dc.contributor.author | Macdonald, Maggie | - |
| dc.contributor.author | Chen, Bin | - |
| dc.contributor.author | Brown, Megan A. | - |
| dc.contributor.author | Prochaska, Stephen | - |
| dc.contributor.author | Yang, Yunkang | - |
| dc.contributor.author | Greenfield, Jason | - |
| dc.contributor.author | Suk, Jiyoun | - |
| dc.contributor.author | Zhong, Wei | - |
| dc.contributor.author | Dahlke, Ross | - |
| dc.contributor.author | Borah, Porismita | - |
| dc.date.accessioned | 2025-07-25T00:30:37Z | - |
| dc.date.available | 2025-07-25T00:30:37Z | - |
| dc.date.issued | 2025-05-30 | - |
| dc.identifier.citation | Social Media + Society, 2025, v. 11, n. 2 | - |
| dc.identifier.issn | 2056-3051 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/358186 | - |
| dc.description.abstract | In this multi-platform, comparative study, we analyze social media messages from political candidates (N = 1,517) running for Congress during the 2022 U.S. Midterm election. We collect data from seven social media platforms: Facebook, Twitter, Truth Social, Gettr, Instagram, YouTube, and Rumble over the 4 weeks before and after election day. With this unique dataset of posts, we apply computational methods to identify messages that sought to mobilize individuals (online and offline) to donate money, vote, attend events, engage with the campaign online, and visit the campaign’s content on other platforms. We find that Democrats were not on alt-tech platforms in 2022 and that both Republicans and Democrats use video-based platforms for multiple mobilization strategies. Mobilization messages varied for House and Senate candidates of both parties across platforms, before and after election day. | - |
| dc.language | eng | - |
| dc.publisher | SAGE Publications | - |
| dc.relation.ispartof | Social Media + Society | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | mobilization | - |
| dc.subject | multi-platform | - |
| dc.subject | platform affordance | - |
| dc.subject | social media | - |
| dc.title | Candidates Be Posting: Multi-Platform Strategies and Partisan Preferences in the 2022 U.S. Midterm Elections | - |
| dc.type | Article | - |
| dc.description.nature | published_or_final_version | - |
| dc.identifier.doi | 10.1177/20563051251337541 | - |
| dc.identifier.scopus | eid_2-s2.0-105007106157 | - |
| dc.identifier.volume | 11 | - |
| dc.identifier.issue | 2 | - |
| dc.identifier.eissn | 2056-3051 | - |
| dc.identifier.isi | WOS:001499098300001 | - |
| dc.identifier.issnl | 2056-3051 | - |
