Stance detection on social media: State of the art and trends
Stance detection on social media is an emerging opinion mining paradigm for various social
and political applications in which sentiment analysis may be sub-optimal. There has been a …
and political applications in which sentiment analysis may be sub-optimal. There has been a …
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 …
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 …
exbake: Automatic fake news detection model based on bidirectional encoder representations from transformers (bert)
News currently spreads rapidly through the internet. Because fake news stories are
designed to attract readers, they tend to spread faster. For most readers, detecting fake news …
designed to attract readers, they tend to spread faster. For most readers, detecting fake news …
MultiFC: A real-world multi-domain dataset for evidence-based fact checking of claims
We contribute the largest publicly available dataset of naturally occurring factual claims for
the purpose of automatic claim verification. It is collected from 26 fact checking websites in …
the purpose of automatic claim verification. It is collected from 26 fact checking websites in …
[PDF][PDF] Semeval-2019 task 7: Rumoureval 2019: Determining rumour veracity and support for rumours
RumourEval 2019: Determining Rumour Veracity and Support for Rumours Page 1
RumourEval 2019: Determining Rumour Veracity and Support for Rumours Genevieve …
RumourEval 2019: Determining Rumour Veracity and Support for Rumours Genevieve …
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Media is full of false claims. Even Oxford Dictionaries named" post-truth" as the word of
2016. This makes it more important than ever to build systems that can identify the veracity of …
2016. This makes it more important than ever to build systems that can identify the veracity of …
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 …
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 …
Detect rumor and stance jointly by neural multi-task learning
In recent years, an unhealthy phenomenon characterized as the massive spread of fake
news or unverified information (ie, rumors) has become increasingly a daunting issue in …
news or unverified information (ie, rumors) has become increasingly a daunting issue in …