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Knowledge graphs
In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …
recently garnered significant attention from both industry and academia in scenarios that …
[HTML][HTML] Fake news outbreak 2021: Can we stop the viral spread?
Social Networks' omnipresence and ease of use has revolutionized the generation and
distribution of information in today's world. However, easy access to information does not …
distribution of information in today's world. However, easy access to information does not …
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 …
A hybrid linguistic and knowledge-based analysis approach for fake news detection on social media
The rapid development of different social media and content-sharing platforms has been
largely exploited to spread misinformation and fake news that make people believing in …
largely exploited to spread misinformation and fake news that make people believing in …
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 …
Content based fake news detection using knowledge graphs
This paper addresses the problem of fake news detection. There are many works already in
this space; however, most of them are for social media and not using news content for the …
this space; however, most of them are for social media and not using news content for the …
Explaining link prediction systems based on knowledge graph embeddings
Link Prediction (LP) aims at tackling Knowledge Graph incompleteness by inferring new,
missing facts from the already known ones. The rise of novel Machine Learning techniques …
missing facts from the already known ones. The rise of novel Machine Learning techniques …
Integrating stance detection and fact checking in a unified corpus
A reasonable approach for fact checking a claim involves retrieving potentially relevant
documents from different sources (eg, news websites, social media, etc.), determining the …
documents from different sources (eg, news websites, social media, etc.), determining the …
ClaimsKG: A knowledge graph of fact-checked claims
Various research areas at the intersection of computer and social sciences require a ground
truth of contextualized claims labelled with their truth values in order to facilitate supervision …
truth of contextualized claims labelled with their truth values in order to facilitate supervision …
Automatic stance detection using end-to-end memory networks
We present a novel end-to-end memory network for stance detection, which jointly (i)
predicts whether a document agrees, disagrees, discusses or is unrelated with respect to a …
predicts whether a document agrees, disagrees, discusses or is unrelated with respect to a …