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Raw dataset for "Fact-Aware Fake-news Classification for Indonesian Language"
Disclaimer: Beta version, contains imbalanced representation of domain-specific NON-HOAX samples. We will release a new training and evaluation suite soon as a replacement of this dataset.
Data originates from https://turnbackhoax.id/ (Mafindo data 2018-2023);
The attributes of data are:
Label_id: Binary class labels ("HOAX"==1 ; "NON-HOAX"==0).
Label: Binary class labels ("HOAX" or "NON-HOAX").
Title: Claim or headline of news article.
Title_cleaned: Preprocessed claim, by removing tag label at the beginning of the sentence.
Content: the content of news article.
Fact: The summary of factual evidence that is either supporting or contradicting the correponding claim.
References: URL link of news article and the corresponding verdict or factual evidence as the justification of the news article.