Understand
People rely on news to know what is happening around the world and inform their daily lives.
- In today's world, when the proliferation of fake news is rampant, having a large-scale and high-quality source of authentic news articles with the published category information is valuable to learning authentic news' Natural Language syntax and semantics.
- As part of this work, we present a News Category Dataset that contains around 210k news headlines from the year 2012 to 2022 obtained from HuffPost, along with useful metadata to enable various NLP tasks.
- In this paper, we also produce some novel insights from the dataset and describe various existing and potential applications of our dataset.
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Sarcasm Detection using Hybrid Neural Network
Misra, R.; and Arora, P. 2019 · 1908
Earlier work this paper cites.
News Headlines Dataset For Sarcasm Detection
Misra, R. 2018 · 2018
Earlier work this paper cites.
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Multilingual epidemiological text classification: a comparative study
Mutuvi, S.; Boros, E.; Doucet, A.; Lejeune, G.; Jatowt, A.; and Odeo, M. 2020 · 2020
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Does gender matter in the news? detecting and examining gender bias in news articles
Dacon, J.; and Liu, H. 2021 · 2021
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Then
Officer-Involved: The Media Language of Police Killings
Moreno-Medina, J.; Ouss, A.; Bayer, P.; and Ba, B. A. 2022 · 2022
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