BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset
Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Processings, 2023 8 pages, 3 figures, 5 tables, published in Recent Advances in Natural Language Processing ...
Mahtab, Md. Motahar +3 more
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Context-Aware Deep Markov Random Fields for Fake News Detection
IEEE Access, 2021 Fake news is a serious problem, which has received considerable attention from both industry and academic communities. Over the past years, many fake news detection approaches have been introduced, and most of the existing methods rely on either news ...
Tien Huu Do +4 more
doaj +1 more source
Clickbait Detection in YouTube Videos
, 2021 YouTube videos often include captivating descriptions and intriguing thumbnails designed to increase the number of views, and thereby increase the revenue for the person who posted the video. This creates an incentive for people to post clickbait videos, in which the content might deviate significantly from the title, description, or thumbnail.
Gothankar, Ruchira +2 more
openaire +2 more sources
Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter
IEEE Access, 2021 In COVID-19 related infodemic, social media becomes a medium for wrongdoers to spread rumors, fake news, hoaxes, conspiracies, astroturf memes, clickbait, satire, smear campaigns, and other forms of deception.
Khubaib Ahmed Qureshi +3 more
doaj +1 more source
A Survey on the Criteria Used to Judge (Fake) News in Italian Population. [PDF]
Brain BehavCriteria to detect fake versus truthful news in Italian population. ABSTRACT Introduction Fake news detection falls within the field of deception detection and, consequently, can be problematic due to no consensus on which cues increase the detection accuracy and because people's ability to detect is poor. Methods The present study aimed to investigate
Battista F, Lanciano T, Curci A.
europepmc +2 more sources
Detecting frames in news headlines and its application to analyzing news framing trends surrounding U.S. gun violence [PDF]
, 2019 Different news articles about the same topic often offer a variety of perspectives: an article written about gun violence might emphasize gun control, while another might promote 2nd Amendment rights, and yet a third might focus on mental health issues ...
Betke, Margrit +4 more
core +1 more source
People’s Republic of Bolzano or how digital artifacts can be adversarial to misinformation [PDF]
, 2017 Design scholars have been focusing more of their attention to public controversial “things”, through the focus on “making public things” or on the “formation of publics” in relation to design projects.
De angeli, Antonella +2 more
core +1 more source
You are probably not the weakest link: Towards practical prediction of susceptibility to semantic social engineering attacks [PDF]
, 2016 Semantic social engineering attacks are a pervasive threat to computer and communication systems. By employing deception rather than by exploiting technical vulnerabilities, spear-phishing, obfuscated URLs, drive-by downloads, spoofed websites, scareware,
Gan, Diane +2 more
core +1 more source
Learning to Identify Ambiguous and Misleading News Headlines
, 2017 Accuracy is one of the basic principles of journalism. However, it is increasingly hard to manage due to the diversity of news media. Some editors of online news tend to use catchy headlines which trick readers into clicking.
Wan, Xiaojun, Wei, Wei
core +1 more source
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks
, 2018 Online media outlets, in a bid to expand their reach and subsequently increase revenue through ad monetisation, have begun adopting clickbait techniques to lure readers to click on articles.
Anand Ankesh +5 more
core +1 more source