Combating misinformation in the age of llms: Opportunities and challenges
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …
and public trust. The emergence of large language models (LLMs) has great potential to …
[HTML][HTML] Deep learning for fake news detection: A comprehensive survey
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
Zero-shot rumor detection with propagation structure via prompt learning
The spread of rumors along with breaking events seriously hinders the truth in the era of
social media. Previous studies reveal that due to the lack of annotated resources, rumors …
social media. Previous studies reveal that due to the lack of annotated resources, rumors …
Using deep learning models to detect fake news about COVID-19
The proliferation of mobile networked devices has made it easier and faster than ever for
people to obtain and share information. However, this occasionally results in the …
people to obtain and share information. However, this occasionally results in the …
Fake news detection in Dravidian languages using transfer learning with adaptive finetuning
Fake news has become a major challenge for online platforms and society as a whole, with
potentially harmful consequences for individuals and organizations. While there has been a …
potentially harmful consequences for individuals and organizations. While there has been a …
Fedack: Federated adversarial contrastive knowledge distillation for cross-lingual and cross-model social bot detection
Social bot detection is of paramount importance to the resilience and security of online
social platforms. The state-of-the-art detection models are siloed and have largely …
social platforms. The state-of-the-art detection models are siloed and have largely …
Does fake news in different languages tell the same story? An analysis of multi-level thematic and emotional characteristics of news about COVID-19
Fake news is being generated in different languages, yet existing studies are dominated by
English news. The analysis of fake news content has focused on lexical and stylometric …
English news. The analysis of fake news content has focused on lexical and stylometric …
EvolveDetector: Towards an evolving fake news detector for emerging events with continual knowledge accumulation and transfer
The prevalence of fake news on social media poses devastating and wide-ranging threats to
political beliefs, economic activities, and public health. Due to the continuous emergence of …
political beliefs, economic activities, and public health. Due to the continuous emergence of …
A comprehensive overview of fake news detection on social networks
U Sharma, J Singh - Social Network Analysis and Mining, 2024 - Springer
As social media and web-based forums have grown in popularity, the fast-spreading trend of
fake news has become a major threat to the government and other agencies. With the rise of …
fake news has become a major threat to the government and other agencies. With the rise of …
Combating the COVID-19 infodemic using Prompt-Based curriculum learning
The COVID-19 pandemic has been accompanied by a proliferation of online misinformation
and disinformation about the virus. Combating this 'infodemic'has been identified as one of …
and disinformation about the virus. Combating this 'infodemic'has been identified as one of …