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The network analysis reveals distinct clusters of politically homogeneous networks or \u201cpolitical echo chambers\u201d where users were exposed to attitude-consistent political TikTok content. Furthermore, through digital trace data, we found that users with strong political views and positive social feedback are more likely to share their political opinions on the platform. This research emphasizes TikTok\u2019s growing importance as a hub for political engagement, as well as its potential polarization effects. The open-source datasets and methodological tools developed in this study offer valuable resources for future research on TikTok\u2019s role in political communication.<\/jats:p>","DOI":"10.1177\/14614448251339755","type":"journal-article","created":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T02:48:12Z","timestamp":1748400492000},"page":"3073-3093","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":18,"title":["TikTok\u2019s political landscape: Examining echo chambers and political expression dynamics"],"prefix":"10.1177","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1093-7898","authenticated-orcid":false,"given":"Yanlin","family":"Li","sequence":"first","affiliation":[{"name":"Pennsylvania State University, USA; Miami University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0859-0538","authenticated-orcid":false,"given":"Zicheng","family":"Cheng","sequence":"additional","affiliation":[{"name":"Pennsylvania State University, USA; University of Arizona, USA; University of Salamanca, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4187-3604","authenticated-orcid":false,"given":"Homero","family":"Gil de Z\u00fa\u00f1iga","sequence":"additional","affiliation":[{"name":"University of Salamanca, Spain; Pennsylvania State University, USA; Universidad Diego Portales, Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,5,27]]},"reference":[{"key":"e_1_3_3_2_1","unstructured":"Aarne O (2022) Auditing tiktok\u2019s recommender system with sock puppets. 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