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.
Tracking the 2024 US Presidential Election Chatter on Tiktok: A Public Multimodal Dataset
1 Pith paper cite this work. Polarity classification is still indexing.
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abstract
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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cs.SI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
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Bridging the Narrative Divide: Cross-Platform Discourse Networks in Fragmented Ecosystems
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.