A systematic review of machine learning techniques for stance detection and its applications
Stance detection is an evolving opinion mining research area motivated by the vast increase
in the variety and volume of user-generated content. In this regard, considerable research …
in the variety and volume of user-generated content. In this regard, considerable research …
A survey on stance detection for mis-and disinformation identification
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …
important role in systems for detecting false information online, be it misinformation …
Few-shot cross-lingual stance detection with sentiment-based pre-training
The goal of stance detection is to determine the viewpoint expressed in a piece of text
towards a target. These viewpoints or contexts are often expressed in many different …
towards a target. These viewpoints or contexts are often expressed in many different …
[HTML][HTML] A survey on political viewpoints identification
Political viewpoints identification (PVI) is a task in Natural Language Processing that takes
political texts and recognizes the writer's opinions towards a political matter. PVI reduces the …
political texts and recognizes the writer's opinions towards a political matter. PVI reduces the …
A new direction in stance detection: Target-stance extraction in the wild
Stance detection aims to detect the stance toward a corresponding target. Existing works
use the assumption that the target is known in advance, which is often not the case in the …
use the assumption that the target is known in advance, which is often not the case in the …
Infusing knowledge from wikipedia to enhance stance detection
Stance detection infers a text author's attitude towards a target. This is challenging when the
model lacks background knowledge about the target. Here, we show how background …
model lacks background knowledge about the target. Here, we show how background …
A data fusion framework for multi-domain morality learning
Abstract Language models can be trained to recognize the moral sentiment of text, creating
new opportunities to study the role of morality in human life. As interest in language and …
new opportunities to study the role of morality in human life. As interest in language and …
Is my stance the same as your stance? A cross validation study of stance detection datasets
Stance detection identifies a person's evaluation of a subject, and is a crucial component for
many downstream applications. In application, stance detection requires training a machine …
many downstream applications. In application, stance detection requires training a machine …
Review of stance detection for rumor verification in social media
HF Alsaif, HD Aldossari - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Social media is a perfect breeding ground for false rumors due to the simplicity of sharing
information, which may have negative implications in a variety of domains, including …
information, which may have negative implications in a variety of domains, including …
Few-shot stance detection via target-aware prompt distillation
Y Jiang, J Gao, H Shen, X Cheng - … of the 45th International ACM SIGIR …, 2022 - dl.acm.org
Stance detection aims to identify whether the author of a text is in favor of, against, or neutral
to a given target. The main challenge of this task comes two-fold: few-shot learning resulting …
to a given target. The main challenge of this task comes two-fold: few-shot learning resulting …