Stance detection with collaborative role-infused llm-based agents
Stance detection automatically detects the stance in a text towards a target, vital for content
analysis in web and social media research. Despite their promising capabilities, LLMs …
analysis in web and social media research. Despite their promising capabilities, LLMs …
Use of large language models as a scalable approach to understanding public health discourse
Online public health discourse is becoming more and more important in sha** public
health dynamics. Large Language Models (LLMs) offer a scalable solution for analysing the …
health dynamics. Large Language Models (LLMs) offer a scalable solution for analysing the …
Use of large language models for stance classification
Stance detection, the task of predicting an author's viewpoint towards a subject of interest,
has long been a focal point of research. Current stance detection methods predominantly …
has long been a focal point of research. Current stance detection methods predominantly …
Deep learning for sarcasm identification in news headlines
Sarcasm is a mode of expression whereby individuals communicate their positive or
negative sentiments through words contrary to their intent. This communication style is …
negative sentiments through words contrary to their intent. This communication style is …
Stanceeval 2024: The first arabic stance detection shared task
Recently, there has been a growing interest in analyzing user-generated text to understand
opinions expressed on social media. In NLP, this task is known as stance detection, where …
opinions expressed on social media. In NLP, this task is known as stance detection, where …
An explainable fake news analysis method with stance information
L Yuan, H Shen, L Shi, N Cheng, H Jiang - Electronics, 2023 - mdpi.com
The high level of technological development has enabled fake news to spread faster than
real news in cyberspace, leading to significant impacts on the balance and sustainability of …
real news in cyberspace, leading to significant impacts on the balance and sustainability of …
Y social: an llm-powered social media digital twin
In this paper we introduce Y, a new-generation digital twin designed to replicate an online
social media platform. Digital twins are virtual replicas of physical systems that allow for …
social media platform. Digital twins are virtual replicas of physical systems that allow for …
SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media
Stance detection, as the task of determining the viewpoint of a social media post towards a
target as' favor'or'against', has been understudied in the challenging yet realistic scenario …
target as' favor'or'against', has been understudied in the challenging yet realistic scenario …
Enhancing stance detection through sequential weighted multi-task learning
The exponential growth of user-generated content on social media platforms, online news
outlets, and digital communication has necessitated the development of automated tools for …
outlets, and digital communication has necessitated the development of automated tools for …
Cross-Target Stance Detection: A Survey of Techniques, Datasets, and Challenges
Stance detection is the task of determining the viewpoint expressed in a text towards a given
target. A specific direction within the task focuses on cross-target stance detection, where a …
target. A specific direction within the task focuses on cross-target stance detection, where a …