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# Evaluation Benchmark for Sentence-Level Factuality Prediciton in Portuguese
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# Dataset Description
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# Evaluation Benchmark for Sentence-Level Factuality Prediciton in Portuguese
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The FactNews consits of the first large sentence-level annotated corpus for factuality prediciton in Portuguese.
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It is composed of 6,191 sentences annotated according to factuality and media bias definitions proposed by AllSides. We use FactNews to assess the overall reliability of news sources by formulating
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two text classification problems for predicting sentence-level factuality of news reporting and bias of media outlets.
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Our experiments demonstrate that biased sentences present a higher number of words compared to factual sentences,
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besides having a predominance of emotions. Hence, the fine-grained analysis of subjectivity and impartiality of news articles
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showed promising results for predicting the reliability of entire media outlets.
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# Dataset Description
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