Acknowledgement
이 논문은 정부의 재원으로 정보통신기획평가원(No.2020-0-01373, 인공지능대학원지원(한양대학교)) 및 한국연구재단(No.2018R1A5A7059549)의 지원을 받아 수행된 연구임.
References
- K. Shu, A. Sliva, S. Wang, J. Tang, and H. Liu, "Fake news detection on social media: A data mining perspective," In Proceeding of the ACM SIGKDD Explorations Newsletter, Vol.19, No.1, pp.22-36, 2017. https://doi.org/10.1145/3137597.3137600
- Y. Liu and Y. F. Wu, "Early detection of fake news on social media through propagation path classification with recurrent and convolutional networks," In Proceeding of the AAAI Conference on Artificial Intelligence, 2018.
- K. Shu, D. Mahudeswaran, S. Wang, and H. Liu, "Hierarchical propagation networks for fake news detection: Investigation and exploitation," In Proceeding of the International AAAI Conference on Web and Social Media, Vol.14, pp.626-637, 2020.
- F. Monti, F. Frasca, D. Eynard, D. Mannion, and M. M. Bronstein, "Fake news detection on social media using geometric deep learning," arXiv preprint arXiv:1902.06673, 2019.
- K. Shu, S. Wang, and H. Liu, "Beyond news contents: The role of social context for fake news detection," In Proceeding of the Twelfth ACM International Conference on Web Search and Data Mining, pp.312-320, 2019.
- S. Vosoughi, D. Roy, and S. Aral, "The spread of true and false news online," Science, Vol.359, No.6380, pp.1146-1151, 2018. https://doi.org/10.1126/science.aap9559
- L. Cui and D. Lee, "Coaid: Covid-19 healthcare misinformation dataset," arXiv preprint arXiv:2006.00885, 2020.
- X. Zhou, A. Mulay, E. Ferrara, and R. Zafarani, "Recovery: A multimodal repository for covid-19 news credibility research," In Proceeding of the 29th ACM International Conference on Information & Knowledge Management, pp.3205-3212, 2020.
- G. K. Shahi and D. Nandini, "FakeCovid--A multilingual cross-domain fact check news dataset for COVID-19," arXiv preprint arXiv:2006.11343, 2020.
- M. Abdul-Mageed, A. Elmadany, E. M. B. Nagoudi, D. Paddi, K. Verma, and R. Lin, "Mega-cov: A billion-scale dataset of 100+ languages for covid-19," arXiv preprint arXiv:2005.06012, 2020.
- C. Castillo, M. Marcelo, and B. Poblete, "Predicting information credibility in time-sensitive social media," Internet Research, 2013.
- A. Gupta, P. Kumaraguru, C. Castillo, and P. Meier, "Tweetcred: Real-time credibility assessment of content on twitter," International conference on social informatics, Springer, Cham, 2014.
- Z. Jin, J. Cao, Y. Zhang, and J. Luo, "News verification by exploiting conflicting social viewpoints in microblogs," In Proceeding of the AAAI Conference on Artificial Intelligence, Vol.30. No.1, 2016.
- E. Tacchini, G. Ballarin, ML.Vedova, S. Moret and L. Alfaro, "Some like it hoax: Automated fake news detection in social networks," arXiv preprint arXiv:1704.07506, 2017.
- S. Badaskar, S. Agarwal, and S. Arora, "Identifying real or fake articles: Towards better language modeling," In Proceeding of the Third International Joint Conference on Natural Language Processing: Volume-II, 2008.
- B. Riedel, et al. "A simple but tough-to-beat baseline for the Fake News Challenge stance detection task," arXiv preprint arXiv:1707.03264, 2017.
- H. Ahmed, I. Traore, and S. Saad, "Detection of online fake news using n-gram analysis and machine learning techniques," International Conference on Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments, Springer, Cham, 2017.
- M. Potthast, J. Kiesel, K. Reinartz, J. Bevendorff, and B. Stein, "A stylometric inquiry into hyperpartisan and fake news," arXiv preprint arXiv:1702.05638, 2017.
- S. Han, Y. Kang, Y. Ko, J. Ahn, Y. Kim, S. Oh, H. Park, and S. Kim, "COVID-19 Cascade Dataset for Fake News Detection," The KIPS Spring Conference 2021, Vol.28, No.1, pp.312-313, 2021.