Papers by Sidney Leal
Measuring the Impact of Readability Features in Fake News Detection (2020.lrec-1)
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Roney Santos, Gabriela Pedro, Sidney Leal, Oto Vale, Thiago Pardo, Kalina Bontcheva, Carolina Scarton
| Challenge: | Recent efforts to detect fake news use language-based approaches to detect news articles . authors show that readability features can improve classification accuracy . |
| Approach: | They propose to use readability features to detect fake news in the Brazilian Portuguese language . they show that such features can achieve up to 92% classification accuracy . |
| Outcome: | The proposed features achieve up to 92% accuracy and may improve previous classification results. |