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Tracking the 2024 US Presidential Election Chatter on Tiktok: A Public Multimodal Dataset

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arxiv 2407.01471 v2 pith:TJSEYVSH submitted 2024-07-01 cs.SI

Gabriela Pinto , Charles Bickham , Tanishq Salkar , Luca Luceri , Emilio Ferrara This is my paper · ORCID
classification cs.SI
keywords tiktokdatasetelectionpresidentialdatahashtagskeywordsposts
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper documents our release of a large-scale data collection of TikTok posts related to the upcoming 2024 U.S. Presidential Election. Our current data comprises 1.8 million videos published between November 1, 2023, and May 26, 2024. Its exploratory analysis identifies the most common keywords, hashtags, and bigrams in both Spanish and English posts, focusing on the election and the two main Presidential candidates, President Joe Biden and Donald Trump. We utilized the TikTok Research API, incorporating various election-related keywords and hashtags, to capture the full scope of relevant content. To address the limitations of the TikTok Research API, we also employed third-party scrapers to expand our dataset. The dataset is publicly available at https://github.com/gabbypinto/US2024PresElectionTikToks

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  1. Bridging the Narrative Divide: Cross-Platform Discourse Networks in Fragmented Ecosystems

    cs.SI 2025-05 conditional novelty 7.0 of 10

    A new platform-agnostic network method reveals that 0.33% of users introduce nearly 70% of narratives that migrate between Truth Social and X during the 2024 U.S. election.

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