A crucial aspect of a rumor detection model is its ability to generalize...
A large number of conflict events are affecting the world all the time. ...
Adapters and Low-Rank Adaptation (LoRA) are parameter-efficient fine-tun...
Medical systematic reviews can be very costly and resource intensive. We...
The task of retrieving already debunked narratives aims to detect storie...
Instruction-tuned Large Language Models (LLMs) have exhibited impressive...
The COVID-19 pandemic led to an infodemic where an overwhelming amount o...
Previous studies have highlighted the importance of vaccination as an
ef...
The standard paradigm for fake news detection mainly utilizes text
infor...
This paper describes our approach for SemEval-2023 Task 3: Detecting the...
Vaccine hesitancy has been a common concern, probably since vaccines wer...
This paper compares quantitatively the spread of Ukraine-related
disinfo...
COVID-19 vaccine hesitancy is widespread, despite governments' informati...
The spreading COVID-19 misinformation over social media already draws th...
The explosion of disinformation related to the COVID-19 pandemic has
ove...
Early rumor detection (ERD) on social media platform is very challenging...
We extend previous work about general election-related abuse of UK MPs w...
Ever-expanding volumes of biomedical text require automated semantic
ann...
In the sentence classification task, context formed from sentences adjac...