Long dialogue emotion detection based on commonsense knowledge graph guidance

W Nie, Y Bao, Y Zhao, A Liu - IEEE Transactions on Multimedia, 2023 - ieeexplore.ieee.org
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 …

A systematic literature review and meta-analysis of studies on online fake news detection

RC Thompson, S Joseph, TT Adeliyi - Information, 2022 - mdpi.com
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 …

Dynamic graph neural network for fake news detection

C Song, Y Teng, Y Zhu, S Wei, B Wu - Neurocomputing, 2022 - Elsevier
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 …

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 …

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 …

[PDF][PDF] Overview of the CLEF-2024 CheckThat! Lab task 5 on rumor verification using evidence from authorities

F Haouari, T Elsayed, R Suwaileh - Faggioli et al.[22], 2024 - ceur-ws.org
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 …

Detecting stance of authorities towards rumors in Arabic tweets: a preliminary study

F Haouari, T Elsayed - European Conference on Information Retrieval, 2023 - Springer
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 …

Fake news detection through graph-based neural networks: A survey

S Gong, RO Sinnott, J Qi, C Paris - arXiv preprint arXiv:2307.12639, 2023 - arxiv.org
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 …

Topic to image: A rumor detection method inspired by image forgery recognition technology

Y Pang, X Li, S Wei, Q Li, Y Xiao - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

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 …