README.md

---
license: cc
language:
- en
- tr
task_categories:
- text-classification
tags:
- misinformation-detection
- misinformation
- disinformation
- disinformation-detection
- misinfo
- fakenews
- fake-news
- tweets
size_categories:
- 10K<n<100K
---

Mide22 Dataset published at "Not Good Times for Lies: Misinformation Detection on the Russia-Ukraine War, COVID-19, and Refugees"

The dataset is composed of 10,348 tweets: 5,284 for English and 5,064 for Turkish. Tweets in the dataset cover different topics: the Russia-Ukraine war, COVID-19 pandemic, Refugees, and additional miscellaneous events. Three misinformation label of the tweet are also given. Since we follow Twitter's Terms and Conditions, we publish tweet IDs not the tweet content directly. Explanations of the columns of the file are as follows:

Column Name	Description
Topic	Topic of the tweet: Ukraine, Covid, Refugees or Misc
Event	Event of the tweet: EN01-EN40 in English and TR01-TR40 in Turkish
Label	Label of the tweet: True, False, or Other
Tweet_id	Twitter ID of the tweet

Other details are at https://github.com/avaapm/mide22/

Citation

If you make use of this dataset, please cite following paper.

@misc{toraman2022good,
      title={Not Good Times for Lies: Misinformation Detection on the Russia-Ukraine War, COVID-19, and Refugees},
      author={Cagri Toraman and Oguzhan Ozcelik and Furkan Şahinuç and Fazli Can},
      year={2022},
      eprint={2210.05401},
      archivePrefix={arXiv},
      primaryClass={cs.SI}
}