SemEvalWorkshop/hyperpartisan_news_detection
Hyperpartisan News Detection was a dataset created for PAN @ SemEval 2019 Task 4. Given a news article text, decide whether it follows a hyperpartisan argumentation, i.e., whether it exhibits blind, prejudiced, or unreasoning allegiance to one party, faction, cause, or person. There are 2 parts: - byarticle: Labeled through crowdsourcing on an article basis. The data contains only articles for which a consensus among the crowdsourcing workers existed. - bypublisher: Labeled by the overall bias of the publisher as provided by BuzzFeed journalists or MediaBiasFactCheck.com.
| Author / organization | SemEvalWorkshop |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 855 (as reported by Hugging Face) |
| Likes | 14 |
| Created | 2 March 2022 |
| Last updated at source | 13 June 2023 |
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