Real-time fake news detection in online social networks: FANDC Cloud-based system. [PDF]
Sci RepCavus N, Goksu M, Oktekin B.
europepmc +1 more source
An overview of fake news detection: From a new perspective. [PDF]
Fundam ResHu B, Mao Z, Zhang Y.
europepmc +1 more source
Fake news detection: state-of-the-art review and advances with attention to Arabic language aspects. [PDF]
PeerJ Comput SciAlbtoush ES, Gan KH, Alrababa SAA.
europepmc +1 more source
To Click it or not to Click it: An Italian Dataset for Neutralising Clickbait Headlines
Clickbait is a common technique aimed to attract reader’s attention, although it can result inaccurate and lead to misinformation. This work explores the role of current Natural Language Processing methods to reduce its negative impact. To do so, a novel
Marco Guerini +2 more
core
Development of a Conceptual Framework of Health Misinformation During the COVID-19 Pandemic: Systematic Review of Reviews. [PDF]
JMIR Public Health SurveillAlvarez-Galvez J +4 more
europepmc +1 more source
Detecció de clickbait a xarxes socials en espanyol i generació de spoilers per neutralitzar-lo
[ES] Hoy en día la sobrecarga de información es un hecho y debido a este motivo encontramos numerosas estrategias que intentan maximizar el número de visitas o de clicks.
Picazo Pardo, Alberto
core
A linguistic comparison between human- and AI-generated content. [PDF]
iScienceRodrigues FA, Sturm NF, Pinheiro FL.
europepmc +1 more source
A systematic review of automated hyperpartisan news detection. [PDF]
PLoS OneMaggini MJ +4 more
europepmc +1 more source
Scientific clickbait: Examining media coverage and readability in genome-wide association research. [PDF]
PLoS OneMorosoli JJ +3 more
europepmc +1 more source
Analysis of child development facts and myths using text mining techniques and classification models. [PDF]
HeliyonTajrian M, Rahman A, Kabir MA, Islam MR.
europepmc +1 more source