[PDF][PDF] Fake news: A survey of research, detection methods, and opportunities
arxiv:1812.00315v1 [cs.CL] 2 Dec 2018 Page 1 Fake News: A Survey of Research,
Detection Methods, and Opportunities XINYI ZHOU, Syracuse University, USA REZA …
Detection Methods, and Opportunities XINYI ZHOU, Syracuse University, USA REZA …
Motivations, methods and metrics of misinformation detection: an NLP perspective
The rise of misinformation online and offline reveals the erosion of long-standing institutional
bulwarks against its propagation in the digitized era. Concerns over the problem are global …
bulwarks against its propagation in the digitized era. Concerns over the problem are global …
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 …
Fake news stance detection using deep learning architecture (CNN-LSTM)
Society and individuals are negatively influenced both politically and socially by the
widespread increase of fake news either way generated by humans or machines. In the era …
widespread increase of fake news either way generated by humans or machines. In the era …
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 …
A multimodal fake news detection model based on crossmodal attention residual and multichannel convolutional neural networks
In recent years, social media has increasingly become one of the popular ways for people to
consume news. As proliferation of fake news on social media has the negative impacts on …
consume news. As proliferation of fake news on social media has the negative impacts on …
DSS: A hybrid deep model for fake news detection using propagation tree and stance network
Nowadays, online social media play a significant role in news broadcasts due to their
convenience, speed, and accessibility. Social media platforms leverage the rapid production …
convenience, speed, and accessibility. Social media platforms leverage the rapid production …
Predicting factuality of reporting and bias of news media sources
We present a study on predicting the factuality of reporting and bias of news media. While
previous work has focused on studying the veracity of claims or documents, here we are …
previous work has focused on studying the veracity of claims or documents, here we are …
A survey on stance detection for mis-and disinformation identification
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …
important role in systems for detecting false information online, be it misinformation …
That is a known lie: Detecting previously fact-checked claims
The recent proliferation of" fake news" has triggered a number of responses, most notably
the emergence of several manual fact-checking initiatives. As a result and over time, a large …
the emergence of several manual fact-checking initiatives. As a result and over time, a large …