Long dialogue emotion detection based on commonsense knowledge graph guidance
Dialogue emotion detection is always challenging due to human subjectivity and the
randomness of dialogue content. In a conversation, the emotion of each person often …
randomness of dialogue content. In a conversation, the emotion of each person often …
A systematic literature review and meta-analysis of studies on online fake news detection
The ubiquitous access and exponential growth of information available on social media
networks have facilitated the spread of fake news, complicating the task of distinguishing …
networks have facilitated the spread of fake news, complicating the task of distinguishing …
Dynamic graph neural network for fake news detection
The widespread of fake news on social media and other platforms can bring significant
damage to the harmony and stability of our society. To defend against fake news …
damage to the harmony and stability of our society. To defend against fake news …
Multi-contextual learning in disinformation research: A review of challenges, approaches, and opportunities
B Das - Online Social Networks and Media, 2023 - Elsevier
Though a fair amount of research is being done to address disinformation in online social
media, it has so far managed to stay ahead of the researchers' learning curves forcing the …
media, it has so far managed to stay ahead of the researchers' learning curves forcing the …
A survey on the use of graph convolutional networks for combating fake news
I Varlamis, D Michail, F Glykou, P Tsantilas - Future Internet, 2022 - mdpi.com
The combat against fake news and disinformation is an ongoing, multi-faceted task for
researchers in social media and social networks domains, which comprises not only the …
researchers in social media and social networks domains, which comprises not only the …
[PDF][PDF] Overview of the CLEF-2024 CheckThat! Lab task 5 on rumor verification using evidence from authorities
We present an overview of Task 5 of the seventh edition of the CheckThat! Lab, which is a
part of the 2024 Conference and Labs of the Evaluation Forum (CLEF). In the Rumor …
part of the 2024 Conference and Labs of the Evaluation Forum (CLEF). In the Rumor …
Detecting stance of authorities towards rumors in Arabic tweets: a preliminary study
A myriad of studies addressed the problem of rumor verification in Twitter by either utilizing
evidence from the propagation networks or external evidence from the Web. However, none …
evidence from the propagation networks or external evidence from the Web. However, none …
Fake news detection through graph-based neural networks: A survey
The popularity of online social networks has enabled rapid dissemination of information.
People now can share and consume information much more rapidly than ever before …
People now can share and consume information much more rapidly than ever before …
Topic to image: A rumor detection method inspired by image forgery recognition technology
This article is inspired by image forgery recognition techniques. If we regard topic comments
as image pixels, the whole topic is a complete image. The image differences between rumor …
as image pixels, the whole topic is a complete image. The image differences between rumor …
Implementing BERT and fine-tuned RobertA to detect AI generated news by ChatGPT
Z Wang, J Cheng, C Cui, C Yu - arXiv preprint arXiv:2306.07401, 2023 - arxiv.org
The abundance of information on social media has increased the necessity of accurate real-
time rumour detection. Manual techniques of identifying and verifying fake news generated …
time rumour detection. Manual techniques of identifying and verifying fake news generated …