การศึกษาปัจจัยที่ส่งผลต่อความน่าเชื่อถือของเว็บไซต์ข่าวภาษาไทย ด้วยเทคนิคการเรียนรู้ของเครื่อง (The Study of Factors Influencing to Credibility of Thai News Website by Using Machine Learning Techniques)
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Published:
Oct 18, 2019
Keywords:
Credibility Machine Learning Data Clustering News Website
Main Article Content
Abstract
This research aims to study the factors that affected on the reliable of Thai news websites. The findings were finally used to develop the tool for assessing reliable of news websites. K-Mean Clustering and Hierarchical Clustering techniques were applied to be a learning machine for clustering data, and consequently was compared the efficient by Silhouette Coefficient values. Results found that the clustering by K-Means Clustering with K = 5 (Silhouette Coefficient = 0.199182) gave the optimum efficient. This investigation has then developed to be a tool for assessing the reliable of news websites.
Article Details
Section
บทความวิจัย
References
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Shanker, R., Singh, R. and Bhattacharya, M. (2017). Segmentation of tumor and edema based on K-mean clustering and hierarchical centroid shape descriptor. The Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, 1105-1109.
Krishnamoorthy, A., Patil, A. K., Vasudevan, N. and Pathari, V. (2018). News Article Classification with Clustering using Semi-Supervised Learning. The Proceedings of International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, India, 86-91.
Nanayakkara, P. and Ranathunga, S. (2018). Clustering Sinhala News Articles Using Corpus-Based Similarity Measures. The Proceedings of Moratuwa Engineering Research Conference (MERCon), Moratuwa, 437-442.
National Statistical Office. (2018). The 2018 Household Survey on the Use of Information and Communication Technology. Bangkok: Economic and Social Statistics Bureau. (in Thai)
Patricia, R. T., Melancon, J. (2018). Gender and live-streaming: source credibility and motivation. Journal of Research in Interactive Marketing, 12 (1), 79-93.
Polkett P., Salathong J., (2018). Audience’s Perception and Media Literacy Of "Sure and Share" TV Program. Journal of Communication and Management NIDA, 4 (3), 47-62. (in Thai)
Rousseeuw, P. J. (1987). Silhouettes: a Graphical Aid to the Interpretation and Validation of Cluster Analysis. Computational and Applied Mathematics, 20, 53–65.
Shah, A. A. and Ravana, S. D. (2014). Evaluating information credibility of digital content using hybrid approach. International Journal of Information Systems and Engineering, 2 (1), 92-99.
Shah, A. A., Ravana, S. D., Hamid, S. and Ismail, M. A. (2015). Web credibility assessment: affecting factors and assessment techniques. Information Research, 20 (1), 655-672.
Shanker, R., Singh, R. and Bhattacharya, M. (2017). Segmentation of tumor and edema based on K-mean clustering and hierarchical centroid shape descriptor. The Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, 1105-1109.