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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 …
A survey on multimodal disinformation detection
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 …
propaganda, misinformation, and disinformation. While initially this was mostly about textual …
Covid-19 fake news sentiment analysis
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
false information related to certain events or entities. Human cognition tends to consume …