BibTeX

@inProceedings{francis-2024-variation-342620,
	title        = {Variation between Credible and Non-Credible News Across Topics},
	abstract     = {‘Fake News’ continues to undermine trust in modern journalism and politics. Despite con- tinued 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 differ- entiating between its various sub-types (such as propaganda, satire, misinformation, etc.) This paper conducts a linguistic and stylistic analy- sis of fake news, focusing on variation between various news topics. It builds on related work identifying features from discourse and linguis- tics in deception detection by analysing five distinct news topics: Economy, Entertainment, Health, Science, and Sports. The results em- phasize that linguistic features vary between credible and deceptive news in each domain and highlight the importance of adapting clas- sification tasks to accommodate variety-based stylistic and linguistic differences in order to achieve better real-world performance.},
	booktitle    = {The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security},
	author       = {Francis, Emilie},
	year         = {2024},
	publisher    = {NLPAICS’2024},
	address      = {Lancaster, U.K.},
	pages        = {86--96},
}