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Tackling misinformation with games: a systematic literature review
Misinformation and fake news are severe threats to society. The role of critical reading skills
is crucial in the battle against misinformation. Despite the promising results of game-based …
is crucial in the battle against misinformation. Despite the promising results of game-based …
Fighting disinformation with artificial intelligence: fundamentals, advances and challenges
A Montoro Montarroso, J Cantón-Correa… - 2023 - digibug.ugr.es
Internet and social media have revolutionised the way news is distributed and consumed.
However, the constant flow of massive amounts of content has made it difficult to discern …
However, the constant flow of massive amounts of content has made it difficult to discern …
Dual emotion based fake news detection: A deep attention-weight update approach
AM Luvembe, W Li, S Li, F Liu, G Xu - Information Processing & …, 2023 - Elsevier
The proliferation of false information is a growing problem in today's dynamic online
environment. This phenomenon requires automated detection of fake news to reduce its …
environment. This phenomenon requires automated detection of fake news to reduce its …
[HTML][HTML] Trustworthy journalism through AI
AL Opdahl, B Tessem, DT Dang-Nguyen… - Data & Knowledge …, 2023 - Elsevier
Quality journalism has become more important than ever due to the need for quality and
trustworthy media outlets that can provide accurate information to the public and help to …
trustworthy media outlets that can provide accurate information to the public and help to …
CAF-ODNN: Complementary attention fusion with optimized deep neural network for multimodal fake news detection
AM Luvembe, W Li, S Li, F Liu, X Wu - Information Processing & …, 2024 - Elsevier
Fake news is a real problem; unfortunately, it seems to worsen. Even though some false
news detection methods have made significant progress, current multimodal approaches …
news detection methods have made significant progress, current multimodal approaches …
Understanding the contribution of recommendation algorithms on misinformation recommendation and misinformation dissemination on social networks
R Pathak, F Spezzano, MS Pera - ACM Transactions on the Web, 2023 - dl.acm.org
Social networks are a platform for individuals and organizations to connect with each other
and inform, advertise, spread ideas, and ultimately influence opinions. These platforms have …
and inform, advertise, spread ideas, and ultimately influence opinions. These platforms have …
[HTML][HTML] Fake news spreaders detection: Sometimes attention is not all you need
M Siino, E Di Nuovo, I Tinnirello, M La Cascia - Information, 2022 - mdpi.com
Guided by a corpus linguistics approach, in this article we present a comparative evaluation
of State-of-the-Art (SotA) models, with a special focus on Transformers, to address the task of …
of State-of-the-Art (SotA) models, with a special focus on Transformers, to address the task of …
Backtranslate what you are saying and i will tell who you are
M Siino, F Lomonaco, P Rosso - Expert Systems, 2024 - Wiley Online Library
With this work, we hypothesize that semantically enriching a user's text corpus using
backtranslation and expansion modules can improve performance for author profiling tasks …
backtranslation and expansion modules can improve performance for author profiling tasks …
A comprehensive review of cyberbullying-related content classification in online social media
TH Teng, KD Varathan, F Crestani - Expert Systems with Applications, 2024 - Elsevier
The emergence of online social networks (OSN) platforms removes communication barriers
that are essential to human life, catalyzing social networking growth. However, this …
that are essential to human life, catalyzing social networking growth. However, this …
[PDF][PDF] Profiling Cryptocurrency Influencers with Few-Shot Learning Using Data Augmentation and ELECTRA.
M Siino, M Tesconi, I Tinnirello - CLEF (Working Notes), 2023 - iris.unipa.it
With this work we propose an application of the ELECTRA Transformer, fine-tuned on two
augmented version of the same training dataset. Our team developed the novel framework …
augmented version of the same training dataset. Our team developed the novel framework …