TY  - JOUR
T1  - A Contrastive Learning Method for Automated Fact-Checking
AU  - Song, Seonyeong 
AU  - An, Jejun 
AU  - Park, Kunwoo 
JO  - Journal of KIISE, JOK
PY  - 2023
DA  - 2023/1/14
DO  - 10.5626/JOK.2023.50.8.680
KW  - automated fact checking
KW  - contrastive learning
KW  - sentence embedding
KW  - natural language processing
AB  - As proliferation of online misinformation increases, the importance of automated fact-checking, which enables real-time evaluation, has been emphasized. In this study, we propose a contrastive learning method for automated fact-checking in Korean. The proposed method deems a sentence similar to evidence as a positive sample to determine the authenticity of a given claim. In evaluation experiments, we found that the proposed method was more effective in the sentence selection step of finding evidence sentences for a given claim than previous methods. such as a finetuned pretrained language model and SimCSE. This study shows a potential of contrastive learning for automated fact-checking.