Stance Detection
Stance detection involves extracting the subject's response to claims made by major actors from text, aiming to identify different stances such as support, opposition, or neutrality. As an important component of natural language processing, stance detection has significant application value in evaluating fake news, public opinion analysis, and sentiment mining. By accurately identifying stances, this technology helps enhance the truthfulness and reliability of information, and strengthens decision-making support capabilities.
ARC (AI2 Reasoning Challenge)
argmin
Dhoroni
emergent
FNC-1
iac1
ibmcs
MGTAB
RGT
mtsd
TESTED
P-Stance
COLA+GPT3.5
Perspectrum
poldeb
RumourEval
Kochkina et al. 2017
RuStance
Boosting
SCD
SemEval 2019
Snopes
STEDUCOV: A DATASET ON STANCE DETECTION IN TWEETS TOWARDS ONLINE EDUCATION DURING COVID-19 PANDEMIC
Trump Midterm Elections 2018
MUSE + UMAP (Unsupervised)
Turkish Elections 2018
VAST
TESTED
wtwt