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 …
Detection and resolution of rumours in social media: A survey
Despite the increasing use of social media platforms for information and news gathering, its
unmoderated nature often leads to the emergence and spread of rumours, ie, items of …
unmoderated nature often leads to the emergence and spread of rumours, ie, items of …
Rumor detection on twitter with tree-structured recursive neural networks
Sentiment expression in microblog posts can be affected by user's personal character,
opinion bias, political stance and so on. Most of existing personalized microblog sentiment …
opinion bias, political stance and so on. Most of existing personalized microblog sentiment …
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 …
The neural hawkes process: A neurally self-modulating multivariate point process
Many events occur in the world. Some event types are stochastically excited or inhibited—in
the sense of having their probabilities elevated or decreased—by patterns in the sequence …
the sense of having their probabilities elevated or decreased—by patterns in the sequence …
Self-attentive Hawkes process
Capturing the occurrence dynamics is crucial to predicting which type of events will happen
next and when. A common method to do this is through Hawkes processes. To enhance …
next and when. A common method to do this is through Hawkes processes. To enhance …
A retrospective analysis of the fake news challenge stance detection task
The 2017 Fake News Challenge Stage 1 (FNC-1) shared task addressed a stance
classification task as a crucial first step towards detecting fake news. To date, there is no in …
classification task as a crucial first step towards detecting fake news. To date, there is no in …
All-in-one: Multi-task learning for rumour verification
Automatic resolution of rumours is a challenging task that can be broken down into smaller
components that make up a pipeline, including rumour detection, rumour tracking and …
components that make up a pipeline, including rumour detection, rumour tracking and …
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 …
Leveraging the crowd to detect and reduce the spread of fake news and misinformation
Online social networking sites are experimenting with the following crowd-powered
procedure to reduce the spread of fake news and misinformation: whenever a user is …
procedure to reduce the spread of fake news and misinformation: whenever a user is …