Classifying Stance in News Articles

Classifying Stance in News Articles: Use of Attribution Relations and ...

Central to this work is the use of a specific discourse relation, the attribution relation (AR), for detecting the stance of a news article body relative to its ...

Stance Detection in the Context of Fake News—A New Approach

Fake News Challenge (FNC) involved the development of machine learning models that can predict stance labels given a headline and body of a news article. The ...

Stance Detection - Papers With Code

Stance detection is the task of classifying the attitude expressed in a ... Identifying the stance of a news article body with respect to a certain ...

Stance detection: a practical guide to classifying political beliefs in text

This paper advances text analysis methods by precisely defining stance detection and outlining three approaches: supervised classification, natural language ...

Stance Detection: A Practical Guide to Classifying Political Beliefs in ...

Barberá, Pablo, Amber E Boydstun, Suzanna Linn, Ryan McMahon, and Jonathan Nagler. (2021), “Automated text classification of news articles: A ...

Leveraging relevant summarized information and multi-layer ...

To determine the stance, it is necessary to understand the news story and ... For misleading headlines, the task involves classifying the stance of the article's ...

Ranking-based Method for News Stance Detection

Specifically, the stance detection is to detect four kinds of stances (“agree”, “disagree”, “discuss” and “unrelated”) of the news towards a claim. Existing ...

Classifying Stance in News Articles: Use of Attribution Relations and ...

Classifying Stance in News Articles: Use of Attribution Relations and Source Expertise. Author, Nitu Bharati. Publisher, Open University, 2023. Export Citation ...

Stance Detection for the Fake News Challenge - Stanford University

This team summarized each article into a headline and used a logistic regression model with features representing the article and claim to classify the ...

Stance Detection for Fake News Identification - Elias Z. Wang

After a brief overview of related work, we describe our bidirectional LSTM model that links local with global features to classify stances of headline-article ...

Effectiveness of stance feature in the classification of news articles.

Download scientific diagram | Effectiveness of stance feature in the classification of news articles. from publication: Stance detection with BERT ...

Stance-In-Depth Deep Neural Approach to Stance Classification

This article compares the headline and body pair of a news article and classifies the pair as related or unrelated.

Emergent: a novel data-set for stance classification - ACL Anthology

the task of classifying the stance of a news article headline with respect to its associated claim, i.e. for each article headline we assign a stance label.

The construction of stance in English and Arabic newspaper editorials

As for the Persian articles, the most frequently used markers were the attitude markers (48%), followed by hedges (32%) and boosters (20%), ...

Stance Detection in the Context of Fake News

Stance classification, stance prediction, stance identification, debate stance classification, and debate-side classification are ... news articles to predict ...

An Explainable Fake News Analysis Method with Stance Information

FORSD describes the consistency between news headlines and news content through four categories of stance labels: “Agree”, “Disagree”, “ ...

Fake news stance detection using selective features and FakeNET

The degree of concordance between the headline and the allocated body is used to determine the classification. Articles of interest can be ...

Stance Detection on Social Media: State of the Art and Trends

... news articles. For these task, stance detection has been used as a key ... Minor, Cats rule and dogs drool!: Classifying stance in online debate, in: Proceedings.

Stance Classification - Papers With Code

Simple Open Stance Classification for Rumour Analysis ... Stance classification determines the attitude, or stance, in a (typically short) text. 2.

BiLSTM-Autoencoder Architecture for Stance Prediction - IEEE Xplore

The Fake News Stance Prediction is the process of automatically classifying the stance ... The stance prediction task's input is the news articles containing a ...