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

This paper presents the TikTok 2024 U.S. Presidential Election Dataset, a large-scale resource designed to advance research into political communication and social media dynamics. The dataset comprises 3.14 million videos published on TikTok between November 1, 2023, and October 16, 2024, including video IDs and transcripts. Data collection was conducted using the TikTok Research API with a comprehensive set of election-related keywords and hashtags, supplemented by third-party tools to address API limitations and expand content coverage. This approach enables the analysis of hashtag co-occurrence networks, revealing politically aligned hashtags based on ideological affiliations, the evolution of top hashtags over time, and summary statistics that highlight the dataset's scale and richness. This dataset offers insights into TikTok's role in shaping electoral discourse by providing a multimodal view of election-related content. It enables researchers to explore critical topics such as coordinated messaging, misinformation spread, audience engagement, and linguistic trends. The TikTok 2024 U.S. Presidential Election Dataset is publicly available on Github and aims to contribute to the broader understanding of social media's impact on democracy and public opinion. The ID of each video and its AI-generated transcript are publicly available on Github: https://github.com/gabbypinto/US2024PresElectionTikToks.

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Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3715291
Primary Topic
Misinformation and Its Impacts
Type
article
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article

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

Joyston Menezes, Gabriela Pinto, Tanishq Salkar, Emilio Ferrara et al.
Misinformation and Its Impacts
article

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

Joyston Menezes, Gabriela Pinto, Tanishq Salkar, Emilio Ferrara, Charles Bickham, Luca Luceri
article en

Abstract

This paper presents the TikTok 2024 U.S. Presidential Election Dataset, a large-scale resource designed to advance research into political communication and social media dynamics. The dataset comprises 3.14 million videos published on TikTok between November 1, 2023, and October 16, 2024, including video IDs and transcripts. Data collection was conducted using the TikTok Research API with a comprehensive set of election-related keywords and hashtags, supplemented by third-party tools to address API limitations and expand content coverage. This approach enables the analysis of hashtag co-occurrence networks, revealing politically aligned hashtags based on ideological affiliations, the evolution of top hashtags over time, and summary statistics that highlight the dataset's scale and richness. This dataset offers insights into TikTok's role in shaping electoral discourse by providing a multimodal view of election-related content. It enables researchers to explore critical topics such as coordinated messaging, misinformation spread, audience engagement, and linguistic trends. The TikTok 2024 U.S. Presidential Election Dataset is publicly available on Github and aims to contribute to the broader understanding of social media's impact on democracy and public opinion. The ID of each video and its AI-generated transcript are publicly available on Github: https://github.com/gabbypinto/US2024PresElectionTikToks.

University of Southern California (US)
Decent work and economic growth
Openalex Percentile: Top 85%
Misinformation and Its Impacts
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Tracking the 2024 US Presidential Election Chatter on TikTok: A Public Multimodal Dataset — Joyston Menezes, Gabriela Pinto, et al. · (2025) | TGRS Research Map | TGRS