Ranking|based Method for News Stance Detection

Ranking-based Method for News Stance Detection

Accordingly, we frame the detection problem as a ranking problem and propose a ranking-based method to improve detection performance. Compared with the ...

Ranking-based Method for News Stance Detection - Semantic Scholar

This work frames the detection problem as a ranking problem and proposes a ranking-based method to improve detection performance, and results demonstrate ...

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Ranking-based Method for News Stance Detection - ResearchGate

In [52] , the authors employ a rankingbased approach to the stance identification problem rather than a classification-based one. The ranking-based approach ...

Ranking-based Method for News Stance Detection

Ranking-based Method for News Stance Detection. Item Type. Conference Paper. Authors. Zhang, Qiang;Yilmaz, Emine;Liang, Shangsong. Citation.

Ranking-based Method for News Stance Detection

Ranking-based Method for News Stance Detection ; American English · The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018 · https://doi.

Stance Detection - Papers With Code

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.

A Retrospective Analysis of the Fake News Challenge Stance ...

Therefore, we propose a new F1-based metric yielding a changed system ranking. Next, we compare the features and architectures used, which leads to a novel ...

Fake News Stance Detection - CS229: Machine Learning

and an entropy-based cost function to make classification. 2.4. Convolutional Neural Network. Yang Shao [11] developed a convolutional neural network system ...

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 ...

Ranking-based Method for News Stance Detection. - DBLP

Bibliographic details on Ranking-based Method for News Stance Detection.

Leveraging relevant summarized information and multi-layer ...

A hierarchical classifier effectively determines the stance of a headline. •. Results show that extractive approaches perform better for stance detection task.

Stance Detection with Explanations | Computational Linguistics

Identification of stance has recently gained a lot of attention with the extreme growth of fake news and filter bubbles.

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

Claim-based stance detection is considered a suitable method to analyze ... One of the proposed methods to address the fake news is based on detecting the.

A Retrospective Analysis of the Fake News Challenge Stance ...

... News Challenge Stance Detection Task. ... Therefore, we propose a new F1-based metric yielding a changed system ranking.

Detecting Fake News Using Stance-Based Approach

In the past decade, many researches have been conducted on how to spot fake news, and one of the methods is to use stance detection algorithm to obtain the ...

Review of stance detection for rumor verification in social media

Content-based methods rely on the textual contents of news and user comments (Shu et al., 2017) to regard crowd stance as “crowd wisdom” (Zubiaga et al ...

Stance Detection in the Context of Fake News

Users evaluate claims and try to label them based on manual investigations. Researchers in machine-learning evaluate methods to label such labels using machine ...

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

It involves determining the polarity of an audience or listener based on textual analysis, identifying whether their preference toward a subject is positive, ...

A systematic review of machine learning techniques for stance ...

This competition also comprised two subtasks: Tasks A and B. Task A is related to textual stance detection, and Task B is based on contextual ...