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

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

Related Organizations

Bilkent University
Turkey

Keywords

Misinformation detection, Refugees, Misinformation spread, Immigrants, Russo-Ukraine war, Twitter, COVID-19, Multi-event, Russia-Ukraine war, Tweet, Dataset

EOSC Subjects

Twitter Data

Impact byBIP!

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average