Published October 12, 2022 | Version v1

MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection

  • 1. Aselsan Research Center
  • 2. Bilkent University

Description

The dataset is composed of 10,348 tweets: 5,284 for English and 5,064 for Turkish. Tweets in the dataset are human-annotated in terms of "false", "true", or "other". The dataset covers multiple topics: the Russia-Ukraine war, COVID-19 pandemic, Refugees, and additional miscellaneous events. The details can be found at https://github.com/avaapm/mide22

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Is published in
Preprint: 10.48550/arXiv.2210.05401 (DOI)