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 …
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 …
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] 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 …
Linguistic feature based learning model for fake news detection and classification
A Choudhary, A Arora - Expert Systems with Applications, 2021 - Elsevier
Social media is used as a dominant source of news distribution among users. The world's
preeminent decisions such as politics are acclaimed by social media to influence users for …
preeminent decisions such as politics are acclaimed by social media to influence users for …
: Similarity-aware multi-modal fake news detection
Effective detection of fake news has recently attracted significant attention. Current studies
have made significant contributions to predicting fake news with less focus on exploiting the …
have made significant contributions to predicting fake news with less focus on exploiting the …
Content-based fake news detection with machine and deep learning: a systematic review
Fake news, which can be defined as intentionally and verifiably false news, has a strong
influence on critical aspects of our society. Manual fact-checking is a widely adopted …
influence on critical aspects of our society. Manual fact-checking is a widely adopted …
Recovery: A multimodal repository for covid-19 news credibility research
First identified in Wuhan, China, in December 2019, the outbreak of COVID-19 has been
declared as a global emergency in January, and a pandemic in March 2020 by the World …
declared as a global emergency in January, and a pandemic in March 2020 by the World …
[HTML][HTML] Optimization and improvement of fake news detection using deep learning approaches for societal benefit
T Chauhan, H Palivela - … Journal of Information Management Data Insights, 2021 - Elsevier
Fake news is a topic that has been discussed for quite some time. Prior to the internet era, it
was mostly distributed through yellow journalism, with a focus on sensational news such as …
was mostly distributed through yellow journalism, with a focus on sensational news such as …
Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions
Fake news and disinformation (FNaD) are increasingly being circulated through various
online and social networking platforms, causing widespread disruptions and influencing …
online and social networking platforms, causing widespread disruptions and influencing …