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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 …
Operating machine learning across natural language processing techniques for improvement of fabricated news model
K Sharifani, M Amini, Y Akbari… - … Journal of Science …, 2022 - papers.ssrn.com
Fake news or fabricated news, refers to false information published under the guise of being
authentic news, often to influence political views. Fabricated news articles are a threat to …
authentic news, often to influence political views. Fabricated news articles are a threat to …
[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 …
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 …
Fake news detection using machine learning ensemble methods
The advent of the World Wide Web and the rapid adoption of social media platforms (such
as Facebook and Twitter) paved the way for information dissemination that has never been …
as Facebook and Twitter) paved the way for information dissemination that has never been …
[PDF][PDF] Multimodal fusion with co-attention networks for fake news detection
Y Wu, P Zhan, Y Zhang, L Wang… - Findings of the association …, 2021 - aclanthology.org
Fake news with textual and visual contents has a better story-telling ability than text-only
contents, and can be spread quickly with social media. People can be easily deceived by …
contents, and can be spread quickly with social media. People can be easily deceived by …
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 …
A complete process of text classification system using state‐of‐the‐art NLP models
With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …
exponentially growing day by day, especially in the form of text documents such as news …
GCAN: Graph-aware co-attention networks for explainable fake news detection on social media
YJ Lu, CT Li - arxiv preprint arxiv:2004.11648, 2020 - arxiv.org
This paper solves the fake news detection problem under a more realistic scenario on social
media. Given the source short-text tweet and the corresponding sequence of retweet users …
media. Given the source short-text tweet and the corresponding sequence of retweet users …