Stance Trees: A Novel Approach for Assessing Politically Polarized Issues in Twitter-Reference-Cited by-同舟云学术

Stance Trees: A Novel Approach for Assessing Politically Polarized Issues in Twitter

Published:2022-10-04 Issue: Volume: Page:
ISSN:
Container-title:15th International Conference on Theory and Practice of Electronic Governance
language:
Short-container-title:

Author:

Diaz Gabriela Andrea¹^ORCID,Chesñevar Carlos Iván¹^ORCID,Estevez Elsa¹^ORCID,Maguitman Ana¹^ORCID

Affiliation:

1. Departamento de Ciencias e Ingeniería de la Computación, Universidad Nacional del Sur, Argentina

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3560107.3560296

Reference31 articles.

1. The political blogosphere and the 2004 U.S. election

2. Stance detection on social media: State of the art and trends

3. Machine Learning in Detecting COVID-19 Misinformation on Twitter

4. Alexandra Balahur . 2013 . Sentiment analysis in social media texts . In Proceedings of the 4th workshop on computational approaches to subjectivity, sentiment and social media analysis. 120–128 . Alexandra Balahur. 2013. Sentiment analysis in social media texts. In Proceedings of the 4th workshop on computational approaches to subjectivity, sentiment and social media analysis. 120–128.

5. A first approach towards integrating computational argumentation in cognitive cities

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distantly Supervised Explainable Stance Detection via Chain-of-Thought Supervision;Mathematics;2024-04-08

2. Leveraging Chain-of-Thought to Enhance Stance Detection with Prompt-Tuning;Mathematics;2024-02-13

3. Distantly Supervised Explainable Stance Detection Via Chain-of-Thought Supervision;2023