[HTML][HTML] Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling

R Raman, D Pattnaik, L Hughes… - Journal of Innovation & …, 2024 - Elsevier
In a world that has rapidly transformed through the advent of artificial intelligence (AI), our
systematic review, guided by the PRISMA protocol, investigates a decade of AI research …

Open source intelligence and AI: a systematic review of the GELSI literature

R Ghioni, M Taddeo, L Floridi - AI & society, 2024 - Springer
Today, open source intelligence (OSINT), ie, information derived from publicly available
sources, makes up between 80 and 90 percent of all intelligence activities carried out by …

An ensemble machine learning approach through effective feature extraction to classify fake news

S Hakak, M Alazab, S Khan, TR Gadekallu… - Future Generation …, 2021 - Elsevier
There are numerous channels available such as social media, blogs, websites, etc., through
which people can easily access the news. It is due to the availability of these platforms that …

The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions

C Carrasco-Farré - Humanities and Social Sciences Communications, 2022 - nature.com
Not all misinformation is created equal. It can adopt many different forms like conspiracy
theories, fake news, junk science, or rumors among others. However, most of the existing …

Covid-19 fake news sentiment analysis

C Iwendi, S Mohan, E Ibeke, A Ahmadian… - Computers and electrical …, 2022 - Elsevier
Abstract'Fake news' refers to the misinformation presented about issues or events, such as
COVID-19. Meanwhile, social media giants claimed to take COVID-19 related …

Arabic fake news detection based on textual analysis

H Himdi, G Weir, F Assiri, H Al-Barhamtoshy - Arabian journal for science …, 2022 - Springer
Over the years, social media has had a considerable impact on the way we share
information and send messages. With this comes the problem of the rapid distribution of fake …

Boosting generalization of fine-tuning BERT for fake news detection

S Qin, M Zhang - Information Processing & Management, 2024 - Elsevier
Using deep neural networks to detect fake news has gradually become an extremely
important field of research. Recent studies, which adopt fine-tuning BERT to detect fake …

Effect of corpora on classification of fake news using naive Bayes classifier

FI Adiba, T Islam, MS Kaiser… - International …, 2020 - researchlakejournals.com
At the present world, one of the main sources of the news is an online platform like different
websites and social media ie Facebook, Twitter, Linkedin, Youtube, Instagram and so on …

[PDF][PDF] Overview of the CLEF-2022 CheckThat! Lab: Task 3 on Fake News Detection.

J Köhler, GK Shahi, JM Struß, M Wiegand… - CLEF (Working …, 2022 - ceur-ws.org
This paper describes the results of the CheckThat! Lab 2022 Task 3. This is the fifth edition
of the lab, which concentrates on the evaluation of technologies supporting three tasks …

[HTML][HTML] Crowdsourced Fact-checking: Does It Actually Work?

D La Barbera, E Maddalena, M Soprano… - Information Processing …, 2024 - Elsevier
There is an important ongoing effort aimed to tackle misinformation and to perform reliable
fact-checking by employing human assessors at scale, with a crowdsourcing-based …