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 …
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities
P Meel, DK Vishwakarma - Expert Systems with Applications, 2020 - Elsevier
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 …
Fighting an infodemic: Covid-19 fake news dataset
Along with COVID-19 pandemic we are also fighting an 'infodemic'. Fake news and rumors
are rampant on social media. Believing in rumors can cause significant harm. This is further …
are rampant on social media. Believing in rumors can cause significant harm. This is further …
Rumor detection on social media with bi-directional graph convolutional networks
Social media has been developing rapidly in public due to its nature of spreading new
information, which leads to rumors being circulated. Meanwhile, detecting rumors from such …
information, which leads to rumors being circulated. Meanwhile, detecting rumors from such …
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 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 …
Temporally evolving graph neural network for fake news detection
The proliferation of fake news on social media has the probability to bring an unfavorable
impact on public opinion and social development. Many efforts have been paid to develop …
impact on public opinion and social development. Many efforts have been paid to develop …
Fake news detection on social media using geometric deep learning
Social media are nowadays one of the main news sources for millions of people around the
globe due to their low cost, easy access and rapid dissemination. This however comes at the …
globe due to their low cost, easy access and rapid dissemination. This however comes at the …
[HTML][HTML] Multimodal fake news detection via progressive fusion networks
J Jing, H Wu, J Sun, X Fang, H Zhang - Information processing & …, 2023 - Elsevier
Multimodal fake news detection methods based on semantic information have achieved
great success. However, these methods only exploit the deep features of multimodal …
great success. However, these methods only exploit the deep features of multimodal …
Eann: Event adversarial neural networks for multi-modal fake news detection
As news reading on social media becomes more and more popular, fake news becomes a
major issue concerning the public and government. The fake news can take advantage of …
major issue concerning the public and government. The fake news can take advantage of …