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 …
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities
Internet and social media have become a widespread, large scale and easy to use platform
for real-time information dissemination. It has become an open stage for discussion …
for real-time information dissemination. It has become an open stage for discussion …
A survey on automated fact-checking
Fact-checking has become increasingly important due to the speed with which both
information and misinformation can spread in the modern media ecosystem. Therefore …
information and misinformation can spread in the modern media ecosystem. Therefore …
[HTML][HTML] FakeBERT: Fake news detection in social media with a BERT-based deep learning approach
In the modern era of computing, the news ecosystem has transformed from old traditional
print media to social media outlets. Social media platforms allow us to consume news much …
print media to social media outlets. Social media platforms allow us to consume news much …
[HTML][HTML] Fake news detection: A hybrid CNN-RNN based deep learning approach
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 …
Multiple features based approach for automatic fake news detection on social networks using deep learning
In recent years, the rise of Online Social Networks has led to proliferation of social news
such as product advertisement, political news, celebrity's information, etc. Some of the social …
such as product advertisement, political news, celebrity's information, etc. Some of the social …
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 …
Can llm-generated misinformation be detected?
The advent of Large Language Models (LLMs) has made a transformative impact. However,
the potential that LLMs such as ChatGPT can be exploited to generate misinformation has …
the potential that LLMs such as ChatGPT can be exploited to generate misinformation has …
User preference-aware fake news detection
Disinformation and fake news have posed detrimental effects on individuals and society in
recent years, attracting broad attention to fake news detection. The majority of existing fake …
recent years, attracting broad attention to fake news detection. The majority of existing fake …
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 …