KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction

Author:

Ko Yunyong1ORCID,Ryu Seongeun2ORCID,Han Soeun2ORCID,Jeon Youngseung3ORCID,Kim Jaehoon2ORCID,Park Sohyun4ORCID,Han Kyungsik2ORCID,Tong Hanghang1ORCID,Kim Sang-Wook2ORCID

Affiliation:

1. University of Illinois at Urbana-Champaign, USA

2. Hanyang University, Republic of Korea

3. University of California, Los Angeles, USA

4. Ajou University, Republic of Korea

Funder

Institute of Information & Communications Technology Planning & Evaluation

National Research Foundation of Korea

NSF

Publisher

ACM

Reference74 articles.

1. Exposure to opposing views on social media can increase political polarization

2. Eytan Bakshy , Solomon Messing , and Lada  A Adamic . 2015. Exposure to ideologically diverse news and opinion on Facebook. Science 348, 6239 ( 2015 ), 1130–1132. Eytan Bakshy, Solomon Messing, and Lada A Adamic. 2015. Exposure to ideologically diverse news and opinion on Facebook. Science 348, 6239 (2015), 1130–1132.

3. Freebase

4. Antoine Bordes , Nicolas Usunier , Alberto Garcia-Duran , Jason Weston , and Oksana Yakhnenko . 2013. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems 26 ( 2013 ). Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems 26 (2013).

5. An Empirical Study on IPO Model Construction of Undergraduate Education Quality Evaluation in China from the Statistical Pattern Recognition Approach In NLP

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4. Topic-Specific Political Stance Inference in Social Networks With Case Studies;IEEE Access;2024

5. Learning Unbiased News Article Representations: A Knowledge-Infused Approach;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15

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