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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.
MGTAB
RGT
RumourEval
Kochkina et al. 2017
FNC-1
ibmcs
Snopes
ARC (AI2 Reasoning Challenge)
argmin
iac1
RuStance
Boosting
emergent
SCD
SemEval 2019
Perspectrum
poldeb
P-Stance
COLA+GPT3.5
wtwt
Turkish Elections 2018
Dhoroni
VAST
TESTED
Trump Midterm Elections 2018
MUSE + UMAP (Unsupervised)
STEDUCOV: A DATASET ON STANCE DETECTION IN TWEETS TOWARDS ONLINE EDUCATION DURING COVID-19 PANDEMIC
mtsd
TESTED