Papers by Fazli Can

1 papers
MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection (2024.lrec-main)

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Challenge: a new dataset of misinformation labels is being developed to detect misinformation on social media platforms . misinformation is spread in many domains including but not limited to health, politics, and disasters .
Approach: They construct a dataset of 5,284 English and 5,064 Turkish tweets with misinformation labels . they use the dataset to analyze misinformation spread and to evaluate misinformation detection .
Outcome: The proposed dataset includes 5,284 English and 5,064 Turkish tweets with misinformation labels for several recent events between 2020 and 2022.

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