Deep learning for misinformation detection on online social networks: a survey and new perspectives

MR Islam, S Liu, X Wang, G Xu - Social Network Analysis and Mining, 2020 - Springer
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …

Content-based fake news detection with machine and deep learning: a systematic review

N Capuano, G Fenza, V Loia, FD Nota - Neurocomputing, 2023 - Elsevier
Fake news, which can be defined as intentionally and verifiably false news, has a strong
influence on critical aspects of our society. Manual fact-checking is a widely adopted …

Is neuro-symbolic ai meeting its promises in natural language processing? a structured review

K Hamilton, A Nayak, B Božić, L Longo - Semantic Web, 2022 - content.iospress.com
Abstract Advocates for Neuro-Symbolic Artificial Intelligence (NeSy) assert that combining
deep learning with symbolic reasoning will lead to stronger AI than either paradigm on its …

Semantic knowledge graphs for the news: A review

AL Opdahl, T Al-Moslmi, DT Dang-Nguyen… - ACM Computing …, 2022 - dl.acm.org
ICT platforms for news production, distribution, and consumption must exploit the ever-
growing availability of digital data. These data originate from different sources and in …

Fake news detection: Taxonomy and comparative study

F Farhangian, RMO Cruz, GDC Cavalcanti - Information Fusion, 2024 - Elsevier
The proliferation of social networks has presented a significant challenge in combating the
pervasive issue of fake news within modern societies. Due to the large amount of …

Integrating machine learning techniques in semantic fake news detection

AMP Braşoveanu, R Andonie - Neural Processing Letters, 2021 - Springer
The nuances of languages, as well as the varying degrees of truth observed in news items,
make fake news detection a difficult problem to solve. A news item is never launched without …

Multilingual deep learning framework for fake news detection using capsule neural network

R Mohawesh, S Maqsood, Q Althebyan - Journal of Intelligent Information …, 2023 - Springer
Fake news detection is an essential task; however, the complexity of several languages
makes fake news detection challenging. It requires drawing many conclusions about the …

The Landscape of User-centered Misinformation Interventions-A Systematic Literature Review

K Hartwig, F Doell, C Reuter - ACM Computing Surveys, 2024 - dl.acm.org
Misinformation is one of the key challenges facing society today. User-centered
misinformation interventions as digital countermeasures that exert a direct influence on …

Review analysis of ride-sharing applications using machine learning approaches: Bangladesh perspective

T Islam, A Kundu, RJ Lima, MH Hena… - … and Modeling for …, 2023 - taylorfrancis.com
Technology and ride-sharing services have become more accessible and convenient as a
result of the growth of the Internet. Passengers increasingly focus on digital reviews to help …

Using artificial intelligence against the phenomenon of fake news: a systematic literature review

MA Al-Asadi, S Tasdemir - Combating fake news with computational …, 2022 - Springer
Social networks like Facebook and Twitter have become an important way for people to
connect and share their thoughts. The most important feature of social networks is the rapid …