Tackling misinformation with games: a systematic literature review

K Kiili, J Siuko, M Ninaus - Interactive Learning Environments, 2024‏ - Taylor & Francis
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 …

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 …

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 …

[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 …

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 …

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 …

[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 …

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 …

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 …

[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 …