KHAN: knowledge-aware hierarchical attention networks for accurate political stance prediction

Y Ko, S Ryu, S Han, Y Jeon, J Kim, S Park… - Proceedings of the …, 2023 - dl.acm.org
The political stance prediction for news articles has been widely studied to mitigate the echo
chamber effect–people fall into their thoughts and reinforce their pre-existing beliefs. The …

A Survey on Automatic Credibility Assessment of Textual Credibility Signals in the Era of Large Language Models

I Srba, O Razuvayevskaya, JA Leite, R Moro… - arXiv preprint arXiv …, 2024 - arxiv.org
In the current era of social media and generative AI, an ability to automatically assess the
credibility of online social media content is of tremendous importance. Credibility …

HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System

Y Jeon, J Kim, S Park, Y Ko, S Ryu, SW Kim… - Proceedings of the ACM …, 2024 - dl.acm.org
Considerable efforts are currently underway to mitigate the negative impacts of echo
chambers, such as increased susceptibility to fake news and resistance towards accepting …

[PDF][PDF] Political Ideology Detection of News Articles Using Deep Neural Networks.

KM Alzhrani - Intelligent Automation & Soft Computing, 2022 - academia.edu
Individuals inadvertently allow emotions to drive their rational thoughts to predetermined
conclusions regarding political partiality issues. Being wellinformed about the subject in …

News stance discrimination based on a heterogeneous network of social background information fusion

Y Ren, Y Liu, J Chen, X Guo, J Shi, M Jia - Entropy, 2022 - mdpi.com
Media with partisan tendencies publish news articles to support their preferred political
parties to guide the direction of public opinion. Therefore, discovering political bias in news …

[PDF][PDF] Encoding heterogeneous social and political context for entity stance prediction

S Feng, Z Chen, P Yu, M Luo - arXiv preprint arXiv:2108.03881, 2021 - academia.edu
Political stance detection is an important and challenging task, while existing works mainly
focus on identifying perspectives in news articles or social media posts. However, semantic …

Predicting political orientation in news with latent discourse structure to improve bias understanding

N Devatine, P Muller, C Braud - 3rd Workshop on Computational …, 2022 - hal.science
With the growing number of information sources, the problem of media bias becomes
worrying for a democratic society. This paper explores the task of predicting the political …

A New Korean Text Classification Benchmark for Recognizing the Political Intents in Online Newspapers

B Kim, E Lee, D Na - arXiv preprint arXiv:2311.01712, 2023 - arxiv.org
Many users reading online articles in various magazines may suffer considerable difficulty in
distinguishing the implicit intents in texts. In this work, we focus on automatically recognizing …

Detecting political opinions in tweets through bipartite graph analysis: A skip aggregation graph convolution approach

X Peng, Z Zhou, C Zhang, K Xu - arXiv preprint arXiv:2304.11367, 2023 - arxiv.org
Public opinion is a crucial factor in shaping political decision-making. Nowadays, social
media has become an essential platform for individuals to engage in political discussions …

Discrimination of News Political Bias Based on Heterogeneous Graph Neural Network

Y Ren, Y Liu, G Zhang, L Liu, P Lv - International Conference on …, 2022 - Springer
The polarization of western political ideology is becoming more and more serious, and it is
difficult for news articles to keep objective justice. Their contents are often biased towards a …