Analyzing Misinformation Claims During the 2022 Brazilian General Election on WhatsApp, Twitter, and Kwai
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Abstract (arXiv)
This study analyzes misinformation from WhatsApp, Twitter, and Kwai during the 2022 Brazilian general election. Given the democratic importance of accurate information during elections, multiple fact-checking organizations collaborated to identify and respond to misinformation via WhatsApp tiplines and power a fact-checking feature within a chatbot operated by Brazil's election authority, the TSE. WhatsApp is installed on over 99% of smartphones in Brazil, and the TSE chatbot was used by millions of citizens in the run-up to the elections. During the same period, we collected social media data from Twitter (now X) and Kwai (a popular video-sharing app similar to TikTok). Using the WhatsApp, Kwai, and Twitter data along with fact-checks from three Brazilian fact-checking organizations, we find unique claims on each platform. Even when the same claims are present on different platforms, they often differ in format, detail, length, or other characteristics. Our research highlights the limitations of current claim matching algorithms to match claims across platforms with such differences and identifies areas for further algorithmic development. Finally, we perform a descriptive analysis examining the formats (image, video, audio, text) and content themes of popular misinformation claims.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jan 2024.
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Citing papers per year: 2024: 1; 2025: 2; 2026: 2.
5 papers.
- 2024Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Researchcited by 35
- 2025MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusterscited by 7
- 2025WhatsApp Tiplines and Multilingual Claims in the 2021 Indian Assembly Electionscited by 0
- 2026Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clusteringcited by 0
- 2026Language Mutations Sustain the Persistences of Conspiracy Theories on Social Mediacited by 0
- 2026Language Mutations Sustain the Persistences of Conspiracy Theories on Social Media19 May 2026
- 2026Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering10 Apr 2026
- 2025WhatsApp Tiplines and Multilingual Claims in the 2021 Indian Assembly Elections22 Jul 2025
- 2025MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters28 Mar 2025
- 2024Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research22 Jan 2024