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 …

A survey on multimodal disinformation detection

F Alam, S Cresci, T Chakraborty, F Silvestri… - arxiv preprint arxiv …, 2021 - arxiv.org
Recent years have witnessed the proliferation of offensive content online such as fake news,
propaganda, misinformation, and disinformation. While initially this was mostly about textual …

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 …

Modality deep-learning frameworks for fake news detection on social networks: a systematic literature review

M Mostafa, AS Almogren, M Al-Qurishi… - ACM Computing …, 2024 - dl.acm.org
Fake news on social networks is a challenging problem due to the rapid dissemination and
volume of information, as well as the ease of creating and sharing content anonymously …

A network-based positive and unlabeled learning approach for fake news detection

MC de Souza, BM Nogueira, RG Rossi, RM Marcacini… - Machine learning, 2022 - Springer
Fake news can rapidly spread through internet users and can deceive a large audience.
Due to those characteristics, they can have a direct impact on political and economic events …

Multimodal analysis of disinformation and misinformation

A Wilson, S Wilkes, Y Teramoto… - Royal Society Open …, 2023 - royalsocietypublishing.org
The use of disinformation and misinformation campaigns in the media has attracted much
attention from academics and policy-makers. Multimodal analysis or the analysis of two or …

[PDF][PDF] Fake news detection of social media news in blockchain framework

AD Waghmare, GK Patnaik - Indian J. Comput. Sci. Eng, 2021 - ijcse.com
Social media news are most important in today's worlds, it puts positive or negative influence
on social views. There is a wide propagation of fake news on social media so it will be …

Fakedbits-detecting fake information on social platforms using multi-modal features

S Dilip Kumar, S Bhuvanesh, A Saurabh… - KSII Transactions on …, 2023 - koreascience.kr
Social media play a significant role in communicating information across the globe,
connecting with loved ones, getting the news, communicating ideas, etc. However, a group …

Detecting the role of an entity in harmful memes: Techniques and their limitations

RN Nandi, F Alam, P Nakov - arxiv preprint arxiv:2205.04402, 2022 - arxiv.org
Harmful or abusive online content has been increasing over time, raising concerns for social
media platforms, government agencies, and policymakers. Such harmful or abusive content …

Multi-modal fake news detection

T Chakraborty - Data Science for Fake News: Surveys and …, 2020 - Springer
The primary motivation behind the spread of fake news is to convince the readers to believe
false information related to certain events or entities. Human cognition tends to consume …