About

Stance detection is the extraction of a subject's reaction to a claim made by a primary actor. It is a core part of a set of approaches to fake news assessment.

Example:

  • Source: "Apples are the most delicious fruit in existence"
  • Reply: "Obviously not, because that is a reuben from Katz's"
  • Stance: deny

Benchmarks

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Datasets

Greatest papers with code

Stance Detection with Bidirectional Conditional Encoding

EMNLP 2016 sheffieldnlp/stance-conditional

Stance detection is the task of classifying the attitude expressed in a text towards a target such as Hillary Clinton to be "positive", negative" or "neutral".

STANCE DETECTION

A Retrospective Analysis of the Fake News Challenge Stance Detection Task

13 Jun 2018hanselowski/athene_system

To date, there is no in-depth analysis paper to critically discuss FNC-1's experimental setup, reproduce the results, and draw conclusions for next-generation stance classification methods.

STANCE CLASSIFICATION STANCE DETECTION

Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder

17 Nov 2018david-yoon/detecting-incongruity

Some news headlines mislead readers with overrated or false information, and identifying them in advance will better assist readers in choosing proper news stories to consume.

DATA AUGMENTATION FAKE NEWS DETECTION INCONGRUITY DETECTION STANCE DETECTION

A Retrospective Analysis of the Fake News Challenge Stance-Detection Task

COLING 2018 UKPLab/coling2018_fake-news-challenge

To date, there is no in-depth analysis paper to critically discuss FNC-1{'}s experimental setup, reproduce the results, and draw conclusions for next-generation stance classification methods.

STANCE CLASSIFICATION STANCE DETECTION

Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter

ACL 2020 cambridge-wtwt/acl2020-wtwt-tweets

We present a new challenging stance detection dataset, called Will-They-Won't-They (WT-WT), which contains 51, 284 tweets in English, making it by far the largest available dataset of the type.

STANCE DETECTION

Stance Detection Benchmark: How Robust Is Your Stance Detection?

6 Jan 2020UKPLab/mdl-stance-robustness

Stance Detection (StD) aims to detect an author's stance towards a certain topic or claim and has become a key component in applications like fake news detection, claim validation, and argument search.

FAKE NEWS DETECTION MULTI-TASK LEARNING STANCE DETECTION

Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News

2 Nov 2018imran3180/pytorch-nli

Specifically, we use bi-directional Recurrent Neural Networks, together with max-pooling over the temporal/sequential dimension and neural attention, for representing (i) the headline, (ii) the first two sentences of the news article, and (iii) the entire news article.

DOCUMENT CLASSIFICATION NATURAL LANGUAGE INFERENCE REPRESENTATION LEARNING STANCE DETECTION

Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations

EMNLP 2020 emilyallaway/zero-shot-stance

Stance detection is an important component of understanding hidden influences in everyday life.

STANCE DETECTION

Stance Detection in Web and Social Media: A Comparative Study

12 Jul 2020prajwal1210/Stance-Detection-in-Web-and-Social-Media

Online forums and social media platforms are increasingly being used to discuss topics of varying polarities where different people take different stances.

STANCE DETECTION