Combating health misinformation in social media: Characterization, detection, intervention, and open issues
Social media has been one of the main information consumption sources for the public,
allowing people to seek and spread information more quickly and easily. However, the rise …
allowing people to seek and spread information more quickly and easily. However, the rise …
Multi-modal misinformation detection: Approaches, challenges and opportunities
As social media platforms evolve from text-based forums into multi-modal environments, the
nature of misinformation in social media is also transforming accordingly. Taking advantage …
nature of misinformation in social media is also transforming accordingly. Taking advantage …
Contrastive domain adaptation for early misinformation detection: A case study on covid-19
Despite recent progress in improving the performance of misinformation detection systems,
classifying misinformation in an unseen domain remains an elusive challenge. To address …
classifying misinformation in an unseen domain remains an elusive challenge. To address …
Covid-vts: Fact extraction and verification on short video platforms
We introduce a new benchmark, COVID-VTS, for fact-checking multi-modal information
involving short-duration videos with COVID19-focused information from both the real world …
involving short-duration videos with COVID19-focused information from both the real world …
Fakesv: A multimodal benchmark with rich social context for fake news detection on short video platforms
Short video platforms have become an important channel for news sharing, but also a new
breeding ground for fake news. To mitigate this problem, research of fake news video …
breeding ground for fake news. To mitigate this problem, research of fake news video …
SoK: Content moderation in social media, from guidelines to enforcement, and research to practice
Social media platforms have been establishing content moderation guidelines and
employing various moderation policies to counter hate speech and misinformation. The goal …
employing various moderation policies to counter hate speech and misinformation. The goal …
MetaAdapt: Domain adaptive few-shot misinformation detection via meta learning
With emerging topics (eg, COVID-19) on social media as a source for the spreading
misinformation, overcoming the distributional shifts between the original training domain (ie …
misinformation, overcoming the distributional shifts between the original training domain (ie …
Multimodal fake news detection on social media: a survey of deep learning techniques
The escalation of false information related to the massive use of social media has become a
challenging problem, and significant is the effort of the research community in providing …
challenging problem, and significant is the effort of the research community in providing …
Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges
Generative deep learning techniques have invaded the public discourse recently. Despite
the advantages, the applications to disinformation are concerning as the counter-measures …
the advantages, the applications to disinformation are concerning as the counter-measures …
A duo-generative approach to explainable multimodal covid-19 misinformation detection
This paper focuses on a critical problem of explainable multimodal COVID-19
misinformation detection where the goal is to accurately detect misleading information in …
misinformation detection where the goal is to accurately detect misleading information in …