References
- Afroz, S., M. Brennan, and R. Greenstadt, "Detecting Hoaxes, Frauds, and Deception in Writing Style Online," 2012 IEEE Symposium on Security and Privacy, (2012), 461-475.
- Aker, A., L. Derczynski, and K. Bontcheva, "Simple Open Stance Classification for Rumour Analysis," Proceedings of Recent Advances in Natural Language Processing, (2017), 31-39.
- Allahyari, M., S. Pouriyeh, M. Assefi, S. Safaei, E. D. Trippe, J. B. Gutierrez, and K. Kochut, "Text Summarization Techniques: A Brief Survey," International Journal of Advanced Computer Science and Applications, Vol.8, No.10, (2017), 397-405.
- Bondiellia, A., and F., Marcelloni, "A survey on fake news and rumour detection techniques," Information Sciences, Vol.497, (2019), 38-55. https://doi.org/10.1016/j.ins.2019.05.035
- Castillo, C., M. Mendoza, and B. Poblete, "Information Credibility on Twitter," Proceedings of the 20th International Conference on World Wide Web, (2011), 675-684.
- Diab, S., "Optimizing Stochastic Gradient Descent in Text Classification Based on Fine-Tuning Hyper-Parameters Approach," International Journal of Computer Science and Information Security, Vol.16, No.12, (2018), 155-160.
- Erkan, G., and D. R. Radev, "LexRank: Graph-based Lexical Centrality as Salience in Text Summarization," Journal of Artificial Intelligence Research, Vol.22, (2004), 457-479. https://doi.org/10.1613/jair.1523
- Esmaeilzadeh, S., G. X. Peh, and A. Xu, "Neural Abstractive Text Summarization and Fake News Detection," arXiv preprint arXiv:1904.00788, (2019).
- Ferreira, W., and A. Vlachos, "Emergent: a novel data-set for stance classification," Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, (2016), 1163-1168.
- Gambhir, M., and V. Gupta, "Recent automatic text summarization techniques: a survey," Artificial Intelligence Review, Vol.47, No.1, (2017), 1-66. https://doi.org/10.1007/s10462-016-9475-9
- Giasemidis, G., C. Singleton, I. Agrafiotis, J. R. C. Nurse, A. Pilgrim, C. Willis, and D. V. Greetham, "Determining the Veracity of Rumours on Twitter," Social Informatics Part I, (2016), 185-205.
- Hardalov, M., I. Koychev, and P. Nakov, "In Search of Credible News," Artificial Intelligence: Methodology, Systems, and Applications, (2016), 172-180.
- Hyun, Y., and N. Kim, "Text Mining-based Fake News Detection Using News And Social Media Data," The Journal of Society for e-Business Studies, Vol.23, No.4, (2018), 19-39. https://doi.org/10.7838/JSEBS.2018.23.4.019
- Jeon, B., and H. Ahn, "A Collaborative Filtering System Combined with Users Review Mining : Application to the Recommendation of Smartphone Apps," Journal of Intelligence and Information System, Vol.21, No.2, (2015), 1-18. https://doi.org/10.13088/jiis.2015.21.2.01
- Jin, H., "Compressed three news articles ... NAVER AI summary bot appeared," Digital Times, 2017, Available at http://www.dt.co.kr/contents.html?article_no=2017112902101131043001 (Accessed 30 August 2019).
- Kim, K.-B., "A Passport Recognition and Face Verification Using Enhanced Fuzzy ART Based RBF Network and PCA Algorithm," Journal of Intelligence and Information System, Vol.12, No.1, (2006), 17-31.
- Kim, S. S., and Green Consumer Network in Korea, Consumer Awareness Survey on Mobile Video Service, Kim Sung Soo Representative Office, 2018. Available at http://theminjoo.kr/inspectionDetail.do?nt_id=16&bd_seq=126493 (Accessed 30 August 2019).
- Koo, B.-K., "News Summary Bots and Human Power in the Infinite Information Age," The Hankyoreh, 2017, Available at http://www.hani.co.kr/arti/economy/it/822844.html (Accessed 30 August 2019).
- Kwon, S., M. Cha, K. Jung, W. Chen, and Y. Wang, "Prominent Features of Rumor Propagation in Online Social Media," IEEE 13th International Conference on Data Mining, (2013), 1103-1108.
- Lafferty, J., A. McCallum, and F. C. N. Pereira, "Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data," Proceedings of the 18th International Conference on Machine Learning 2001, (2001), 282-289.
- Ma, J., W. Gao, P. Mitra, S. Kwon, B. J. Jansen, K. F. Wong, and M. Cha, "Detecting Rumors from Microblogs with Recurrent Neural Networks," Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, (2016), 3818-3824.
- Park, S. S., and K. C., Lee, "A Comparative Study of Text analysis and Network embedding Methods for Effective Fake News Detection," Journal of Digital Convergence, Vol.17, No.5(2019), 137-143. https://doi.org/10.14400/JDC.2019.17.5.137
- Radev, D. R., E. Hovy, and K. McKeown, "Introduction to the Special Issue on Summarization," Journal of Computational linguistics, Vol.28, (2002), 399-408. https://doi.org/10.1162/089120102762671927
- Seol, J., and S. Lee, " lexrankr: LexRank based Korean multi-document summarization," Journal of the Korean Institute of Information Scientist and Engineers 2016 Winter Academic Conference, (2016), 458-460.
- Shin, H., "Naver 'Summary Bot', is it an evolution or editorial infringement?," Sisain, 2017, Available at https://www.sisain.co.kr/news/articleView.html?idxno=30828 (Accessed 30 August 2019).
- Lee S., and H.-J. Kim, "Keyword Extraction from News Corpus using Modified TF-IDF," The Journal of Society for e-Business Studies, Vol.14, No.4(2009), 59-73.
- Wang, W. Y., ""Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection," Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vol.2, (2017), 422-426.
- Yang, J, "'News' and 'Fake News' that ordinary citizens think," Media issue, Vol.5, No.1, (2019), 1-15.
- Yoon, S. O., "A Study on the Characteristics and Problems of Fake News Regulations proposed by the National Assembly," Journal of Media Law, Ethics and Policy Research, Vol.18, No.1, (2019), 103-138. https://doi.org/10.26542/JML.2019.4.18.1.103
- Yun, T. U., and H. Ahn, "Fake News Detection for Korean News Using Text Mining and Machine Learning Techniques," Journal of Information Technology Applications & Management, Vol.25, No.1, (2018), 19-32. https://doi.org/10.21219/JITAM.2018.25.1.019
- Yun, Y., Ko, E., and Kim, N., "Subject-Balanced Intelligent Text Summarization Scheme," Journal of Intelligence and Information System, Vol.25, No.2, (2019), 141-166. https://doi.org/10.13088/JIIS.2019.25.2.141
- Zhang, H., Z. Fan, J. Zheng, and Q. Liu, "An Improving Deception Detection Method in Computer-Mediated Communication," Journal of Networks, Vol.7, No.11, (2012), 1811-1816.
- Zhao, Z., P. Resnick, and Q. Mei, "Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts," Proceedings of the 24th International Conference on World Wide Web, (2015), 1395-1405.
- Zubiaga, A., M. Liakata, and R. Procter, "Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media," arXiv preprint arXiv:1610.07363, (2016).