This study tackles the problem of detecting incongruities between headlines and body text in news articles, where a news headline is irrelevant or even in opposition to t...
Abstract:
This paper tackles the problem of detecting incongruities between headlines and body text, where a news headline is irrelevant or even in opposition to the information in...Show MoreMetadata
Abstract:
This paper tackles the problem of detecting incongruities between headlines and body text, where a news headline is irrelevant or even in opposition to the information in its body. Our model, called the graph-based hierarchical dual encoder (GHDE), utilizes a graph neural network to efficiently learn the content similarity between news headlines and long body paragraphs. This paper also releases a million-item-scale dataset of incongruity labels that can be used for training. The experimental results show that the proposed graph-based neural network model outperforms previous state-of-the-art models by a substantial margin (5.3%) on the area under the receiver operating characteristic (AUROC) curve. Real-world experiments on recent news articles confirm that the trained model successfully detects headline incongruities. We discuss the implications of these findings for combating infodemics and news fatigue.
This study tackles the problem of detecting incongruities between headlines and body text in news articles, where a news headline is irrelevant or even in opposition to t...
Published in: IEEE Access ( Volume: 9)
Funding Agency:
Adobe Research, San Jose, CA, USA
Seunghyun Yoon (Member, IEEE) received the Ph.D. degree in electrical and computer engineering from Seoul National University, in 2020. He is currently a Research Scientist at Adobe Research, San Jose, USA. His research interests include machine learning and natural language processing (NLP), focusing on question-answering systems and learning language representations for NLP tasks.
Seunghyun Yoon (Member, IEEE) received the Ph.D. degree in electrical and computer engineering from Seoul National University, in 2020. He is currently a Research Scientist at Adobe Research, San Jose, USA. His research interests include machine learning and natural language processing (NLP), focusing on question-answering systems and learning language representations for NLP tasks.View more
School of AI Convergence, Soongsil University, Seoul, South Korea
Kunwoo Park received the Ph.D. degree in web science from the School of Computing, Korea Advanced Institute of Science and Technology (KAIST), South Korea, in 2018. He was a Postdoctoral Researcher with KAIST, the Qatar Computing Research Institute, and UCLA. He is currently an Assistant Professor with the School of AI Convergence, Soongsil University, South Korea. His research interest includes the detecting misinformati...Show More
Kunwoo Park received the Ph.D. degree in web science from the School of Computing, Korea Advanced Institute of Science and Technology (KAIST), South Korea, in 2018. He was a Postdoctoral Researcher with KAIST, the Qatar Computing Research Institute, and UCLA. He is currently an Assistant Professor with the School of AI Convergence, Soongsil University, South Korea. His research interest includes the detecting misinformati...View more
Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea
Minwoo Lee received the B.S. degree in integrated technology from Yonsei University, South Korea, in 2018. He is currently pursuing the Ph.D. degree in electrical and computer engineering with Seoul National University, South Korea. His current research interests include natural language processing (NLP) and graph neural networks.
Minwoo Lee received the B.S. degree in integrated technology from Yonsei University, South Korea, in 2018. He is currently pursuing the Ph.D. degree in electrical and computer engineering with Seoul National University, South Korea. His current research interests include natural language processing (NLP) and graph neural networks.View more
School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
Data Science Group, Institute for Basic Science, Daejeon, South Korea
Taegyun Kim is currently pursuing the bachelor’s degree with the School of Computing, Korea Advanced Institute of Science and Technology (KAIST), South Korea. His research interest includes applying natural language processing techniques to social science problems.
Taegyun Kim is currently pursuing the bachelor’s degree with the School of Computing, Korea Advanced Institute of Science and Technology (KAIST), South Korea. His research interest includes applying natural language processing techniques to social science problems.View more
School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
Data Science Group, Institute for Basic Science, Daejeon, South Korea
Meeyoung Cha (Member, IEEE) received the Ph.D. degree from the Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2008. From 2008 to 2010, she was a Postdoctoral Researcher with the Max Planck Institute for Software Systems, Germany. Since 2010, she has been a Faculty Member with the School of Computing and the Graduate School of Culture Technology, KAIST. ...Show More
Meeyoung Cha (Member, IEEE) received the Ph.D. degree from the Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2008. From 2008 to 2010, she was a Postdoctoral Researcher with the Max Planck Institute for Software Systems, Germany. Since 2010, she has been a Faculty Member with the School of Computing and the Graduate School of Culture Technology, KAIST. ...View more
Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea
Kyomin Jung (Member, IEEE) received the B.S. degree in mathematics from Seoul National University, Seoul, South Korea, in 2003, and the Ph.D. degree in mathematics from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2009. From 2009 to 2013, he was an Assistant Professor with the Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST). Since 2016, he has been an Assista...Show More
Kyomin Jung (Member, IEEE) received the B.S. degree in mathematics from Seoul National University, Seoul, South Korea, in 2003, and the Ph.D. degree in mathematics from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2009. From 2009 to 2013, he was an Assistant Professor with the Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST). Since 2016, he has been an Assista...View more
Contents Adobe Research, San Jose, CA, USA
Seunghyun Yoon (Member, IEEE) received the Ph.D. degree in electrical and computer engineering from Seoul National University, in 2020. He is currently a Research Scientist at Adobe Research, San Jose, USA. His research interests include machine learning and natural language processing (NLP), focusing on question-answering systems and learning language representations for NLP tasks.
Seunghyun Yoon (Member, IEEE) received the Ph.D. degree in electrical and computer engineering from Seoul National University, in 2020. He is currently a Research Scientist at Adobe Research, San Jose, USA. His research interests include machine learning and natural language processing (NLP), focusing on question-answering systems and learning language representations for NLP tasks.View more
School of AI Convergence, Soongsil University, Seoul, South Korea
Kunwoo Park received the Ph.D. degree in web science from the School of Computing, Korea Advanced Institute of Science and Technology (KAIST), South Korea, in 2018. He was a Postdoctoral Researcher with KAIST, the Qatar Computing Research Institute, and UCLA. He is currently an Assistant Professor with the School of AI Convergence, Soongsil University, South Korea. His research interest includes the detecting misinformation and social bias from online media through natural language processing (NLP) and multi-modal methods.
Kunwoo Park received the Ph.D. degree in web science from the School of Computing, Korea Advanced Institute of Science and Technology (KAIST), South Korea, in 2018. He was a Postdoctoral Researcher with KAIST, the Qatar Computing Research Institute, and UCLA. He is currently an Assistant Professor with the School of AI Convergence, Soongsil University, South Korea. His research interest includes the detecting misinformation and social bias from online media through natural language processing (NLP) and multi-modal methods.View more
Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea
Minwoo Lee received the B.S. degree in integrated technology from Yonsei University, South Korea, in 2018. He is currently pursuing the Ph.D. degree in electrical and computer engineering with Seoul National University, South Korea. His current research interests include natural language processing (NLP) and graph neural networks.
Minwoo Lee received the B.S. degree in integrated technology from Yonsei University, South Korea, in 2018. He is currently pursuing the Ph.D. degree in electrical and computer engineering with Seoul National University, South Korea. His current research interests include natural language processing (NLP) and graph neural networks.View more
School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
Data Science Group, Institute for Basic Science, Daejeon, South Korea
Taegyun Kim is currently pursuing the bachelor’s degree with the School of Computing, Korea Advanced Institute of Science and Technology (KAIST), South Korea. His research interest includes applying natural language processing techniques to social science problems.
Taegyun Kim is currently pursuing the bachelor’s degree with the School of Computing, Korea Advanced Institute of Science and Technology (KAIST), South Korea. His research interest includes applying natural language processing techniques to social science problems.View more
School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
Data Science Group, Institute for Basic Science, Daejeon, South Korea
Meeyoung Cha (Member, IEEE) received the Ph.D. degree from the Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2008. From 2008 to 2010, she was a Postdoctoral Researcher with the Max Planck Institute for Software Systems, Germany. Since 2010, she has been a Faculty Member with the School of Computing and the Graduate School of Culture Technology, KAIST. She is currently a Chief Investigator at the Institute for Basic Science, South Korea. Her research interests include data science, information science, and computational social science with an emphasis on modeling socially relevant information propagation processes.
Meeyoung Cha (Member, IEEE) received the Ph.D. degree from the Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2008. From 2008 to 2010, she was a Postdoctoral Researcher with the Max Planck Institute for Software Systems, Germany. Since 2010, she has been a Faculty Member with the School of Computing and the Graduate School of Culture Technology, KAIST. She is currently a Chief Investigator at the Institute for Basic Science, South Korea. Her research interests include data science, information science, and computational social science with an emphasis on modeling socially relevant information propagation processes.View more
Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea
Kyomin Jung (Member, IEEE) received the B.S. degree in mathematics from Seoul National University, Seoul, South Korea, in 2003, and the Ph.D. degree in mathematics from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2009. From 2009 to 2013, he was an Assistant Professor with the Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST). Since 2016, he has been an Assistant Professor and then an Associate Professor with the Department of Electrical and Computer Engineering, Seoul National University (SNU), where he is also an Adjunct Professor with the Department of Mathematical Sciences. He is currently working with the Department of Electrical and Computer Engineering, ASRI, SNU. His research interests include natural language processing, deep learning and applications, data analysis, and web services.
Kyomin Jung (Member, IEEE) received the B.S. degree in mathematics from Seoul National University, Seoul, South Korea, in 2003, and the Ph.D. degree in mathematics from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2009. From 2009 to 2013, he was an Assistant Professor with the Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST). Since 2016, he has been an Assistant Professor and then an Associate Professor with the Department of Electrical and Computer Engineering, Seoul National University (SNU), where he is also an Adjunct Professor with the Department of Mathematical Sciences. He is currently working with the Department of Electrical and Computer Engineering, ASRI, SNU. His research interests include natural language processing, deep learning and applications, data analysis, and web services.View more