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 …
An overview of online fake news: Characterization, detection, and discussion
X Zhang, AA Ghorbani - Information Processing & Management, 2020 - Elsevier
Over the recent years, the growth of online social media has greatly facilitated the way
people communicate with each other. Users of online social media share information …
people communicate with each other. Users of online social media share information …
[HTML][HTML] Fake news detection: A hybrid CNN-RNN based deep learning approach
JA Nasir, OS Khan, I Varlamis - International Journal of Information …, 2021 - Elsevier
The explosion of social media allowed individuals to spread information without cost, with
little investigation and fewer filters than before. This amplified the old problem of fake news …
little investigation and fewer filters than before. This amplified the old problem of fake news …
Fang: Leveraging social context for fake news detection using graph representation
We propose Factual News Graph (FANG), a novel graphical social context representation
and learning framework for fake news detection. Unlike previous contextual models that …
and learning framework for fake news detection. Unlike previous contextual models that …
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 …
Compare to the knowledge: Graph neural fake news detection with external knowledge
Nowadays, fake news detection, which aims to verify whether a news document is trusted or
fake, has become urgent and important. Most existing methods rely heavily on linguistic and …
fake, has become urgent and important. Most existing methods rely heavily on linguistic and …
defend: Explainable fake news detection
In recent years, to mitigate the problem of fake news, computational detection of fake news
has been studied, producing some promising early results. While important, however, we …
has been studied, producing some promising early results. While important, however, we …
Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media
Social media has become a popular means for people to consume and share the news. At
the same time, however, it has also enabled the wide dissemination of fake news, that is …
the same time, however, it has also enabled the wide dissemination of fake news, that is …
A survey on fake news and rumour detection techniques
A Bondielli, F Marcelloni - Information sciences, 2019 - Elsevier
False or unverified information spreads just like accurate information on the web, thus
possibly going viral and influencing the public opinion and its decisions. Fake news and …
possibly going viral and influencing the public opinion and its decisions. Fake news and …
Why do people share fake news? Associations between the dark side of social media use and fake news sharing behavior
The current study examines the associations of the dark side of social media use and fake
news sharing behavior among social media users. A large cross-sectional data from 1022 …
news sharing behavior among social media users. A large cross-sectional data from 1022 …