mlsanityData to 14 Oct 2026

Variation between Credible and Non-Credible News Across Topics

arXiv 2411.12458 ↗First posted 19 Nov 2024cs.CLcited by 1

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Abstract (arXiv)

'Fake News' continues to undermine trust in modern journalism and politics. Despite continued efforts to study fake news, results have been conflicting. Previous attempts to analyse and combat fake news have largely focused on distinguishing fake news from truth, or differentiating between its various sub-types (such as propaganda, satire, misinformation, etc.) This paper conducts a linguistic and stylistic analysis of fake news, focusing on variation between various news topics. It builds on related work identifying features from discourse and linguistics in deception detection by analysing five distinct news topics: Economy, Entertainment, Health, Science, and Sports. The results emphasize that linguistic features vary between credible and deceptive news in each domain and highlight the importance of adapting classification tasks to accommodate variety-based stylistic and linguistic differences in order to achieve better real-world performance.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 39 references that are in the map. First posted on arXiv 19 Nov 2024.

Builds on

5 of 39 references.

References · 5

  1. 2017A Stylometric Inquiry into Hyperpartisan and Fake Newscited by 82
  2. 2017This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real Newscited by 59
  3. 2016What to do about non-standard (or non-canonical) language in NLPcited by 35
  4. 2019Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cuescited by 8
  5. 2020Studying Dishonest Intentions in Brazilian Portuguese Textscited by 2

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