Fake news, disinformation and misinformation in social media: a review
Online social networks (OSNs) are rapidly growing and have become a huge source of all
kinds of global and local news for millions of users. However, OSNs are a double-edged …
kinds of global and local news for millions of users. However, OSNs are a double-edged …
A survey of fake news: Fundamental theories, detection methods, and opportunities
X Zhou, R Zafarani - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
The explosive growth in fake news and its erosion to democracy, justice, and public trust has
increased the demand for fake news detection and intervention. This survey reviews and …
increased the demand for fake news detection and intervention. This survey reviews and …
Semeval-2023 task 3: Detecting the category, the framing, and the persuasion techniques in online news in a multi-lingual setup
J Piskorski, N Stefanovitch… - Proceedings of the …, 2023 - aclanthology.org
We describe SemEval-2023 task 3 on Detecting the Category, the Framing, and the
Persuasion Techniques in Online News in a Multilingual Setup: the dataset, the task …
Persuasion Techniques in Online News in a Multilingual Setup: the dataset, the task …
A comprehensive review on fake news detection with deep learning
A protuberant issue of the present time is that, organizations from different domains are
struggling to obtain effective solutions for detecting online-based fake news. It is quite …
struggling to obtain effective solutions for detecting online-based fake news. It is quite …
Combating fake news: A survey on identification and mitigation techniques
The proliferation of fake news on social media has opened up new directions of research for
timely identification and containment of fake news and mitigation of its widespread impact on …
timely identification and containment of fake news and mitigation of its widespread impact on …
Sentiment analysis for fake news detection
In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …
information created with the intention of deception. The dissemination of this type of news …
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection
As the COVID-19 pandemic sweeps across the world, it has been accompanied by a
tsunami of fake news and misinformation on social media. At the time when reliable …
tsunami of fake news and misinformation on social media. At the time when reliable …
Fake news detection: A survey of graph neural network methods
The emergence of various social networks has generated vast volumes of data. Efficient
methods for capturing, distinguishing, and filtering real and fake news are becoming …
methods for capturing, distinguishing, and filtering real and fake news are becoming …
Identifying fake news on social networks based on natural language processing: trends and challenges
The epidemic spread of fake news is a side effect of the expansion of social networks to
circulate news, in contrast to traditional mass media such as newspapers, magazines, radio …
circulate news, in contrast to traditional mass media such as newspapers, magazines, radio …
[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
The explosion of online social networks in recent decades has significantly improved in
which the way individuals communicate with one another. People trust social networks …
which the way individuals communicate with one another. People trust social networks …