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Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian Election on WhatsApp (2106.04726v2)

Published 8 Jun 2021 in cs.SI, cs.CL, and cs.CV

Abstract: There is currently no easy way to fact-check content on WhatsApp and other end-to-end encrypted platforms at scale. In this paper, we analyze the usefulness of a crowd-sourced "tipline" through which users can submit content ("tips") that they want fact-checked. We compare the tips sent to a WhatsApp tipline run during the 2019 Indian national elections with the messages circulating in large, public groups on WhatsApp and other social media platforms during the same period. We find that tiplines are a very useful lens into WhatsApp conversations: a significant fraction of messages and images sent to the tipline match with the content being shared on public WhatsApp groups and other social media. Our analysis also shows that tiplines cover the most popular content well, and a majority of such content is often shared to the tipline before appearing in large, public WhatsApp groups. Overall, our findings suggest tiplines can be an effective source for discovering content to fact-check.

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Authors (5)
  1. Ashkan Kazemi (10 papers)
  2. Kiran Garimella (54 papers)
  3. Gautam Kishore Shahi (19 papers)
  4. Devin Gaffney (4 papers)
  5. Scott A. Hale (48 papers)
Citations (13)

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