sample.bib

@article{santos_artificial_2023,
	title = {Artificial Intelligence in Automated Detection of Disinformation: A Thematic Analysis},
	volume = {4},
	rights = {https://creativecommons.org/licenses/by/4.0/},
	issn = {2673-5172},
	url = {https://www.mdpi.com/2673-5172/4/2/43},
	doi = {10.3390/journalmedia4020043},
	shorttitle = {Artificial Intelligence in Automated Detection of Disinformation},
	abstract = {The increasing prevalence of disinformation has led to a growing interest in leveraging artificial intelligence ({AI}) for detecting and combating this phenomenon. This article presents a thematic analysis of the potential benefits of automated disinformation detection from the perspective of information sciences. The analysis covers a range of approaches, including fact checking, linguistic analysis, sentiment analysis, and the utilization of human-in-the-loop systems. Furthermore, the article explores how the combination of blockchain and {AI} technologies can be used to automate the process of disinformation detection. Ultimately, the article aims to consider the integration of {AI} into journalism and emphasizes the importance of ongoing collaboration between these fields to effectively combat the spread of disinformation. The article also addresses ethical considerations related to the use of {AI} in journalism, including concerns about privacy, transparency, and accountability.},
	pages = {679--687},
	number = {2},
	journaltitle = {Journalism and Media},
	shortjournal = {Journalism and Media},
	author = {Santos, Fátima C. Carrilho},
	urldate = {2025-03-05},
	date = {2023-06-03},
	langid = {english},
	file = {PDF:/Users/robrohan/Library/CloudStorage/Dropbox/Documents/Zotero/storage/JXCU8QM9/Santos - 2023 - Artificial Intelligence in Automated Detection of Disinformation A Thematic Analysis.pdf:application/pdf},
}