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A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities
The escalating prevalence of disinformation, or “fake news,” on social media platforms
represents a growing societal concern with far-reaching implications. Its ubiquitous …
represents a growing societal concern with far-reaching implications. Its ubiquitous …
[HTML][HTML] An overview of fake news detection: From a new perspective
With the rapid development and popularization of Internet technology, the propagation and
diffusion of information become much easier and faster. While making life more convenient …
diffusion of information become much easier and faster. While making life more convenient …
Fake news detection based on news content and social contexts: a transformer-based approach
Fake news is a real problem in today's world, and it has become more extensive and harder
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …
M4: Multi-generator, multi-domain, and multi-lingual black-box machine-generated text detection
Large language models (LLMs) have demonstrated remarkable capability to generate fluent
responses to a wide variety of user queries. However, this has also raised concerns about …
responses to a wide variety of user queries. However, this has also raised concerns about …
Semeval-2024 task 8: Multidomain, multimodel and multilingual machine-generated text detection
We present the results and the main findings of SemEval-2024 Task 8: Multigenerator,
Multidomain, and Multilingual Machine-Generated Text Detection. The task featured three …
Multidomain, and Multilingual Machine-Generated Text Detection. The task featured three …
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
It is commonly perceived that fake news and real news exhibit distinct writing styles, such as
the use of sensationalist versus objective language. However, we emphasize that style …
the use of sensationalist versus objective language. However, we emphasize that style …
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection
Many recent studies have demonstrated that the propagation patterns of news on social
media can facilitate the detection of fake news. Most of these studies rely on the complete …
media can facilitate the detection of fake news. Most of these studies rely on the complete …
A taxonomy of fake news classification techniques: Survey and implementation aspects
In the present era, social media platforms such as Facebook, WhatsApp, Twitter, and
Telegram are significant sources of information distribution, and people believe it without …
Telegram are significant sources of information distribution, and people believe it without …
M4gt-bench: Evaluation benchmark for black-box machine-generated text detection
The advent of Large Language Models (LLMs) has brought an unprecedented surge in
machine-generated text (MGT) across diverse channels. This raises legitimate concerns …
machine-generated text (MGT) across diverse channels. This raises legitimate concerns …
A temporal ensembling based semi-supervised ConvNet for the detection of fake news articles
Internet-based information circulation has given rise to the proliferation of fake and
misleading contents, which has extreme hostile effects on individuals and humanity …
misleading contents, which has extreme hostile effects on individuals and humanity …