Datasets:
Tasks:
Text Classification
Size:
10K<n<100K
ArXiv:
Tags:
misinformation-detection
misinformation
disinformation
disinformation-detection
misinfo
fakenews
License:
| 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} | |
| } |