Browse > Article
http://dx.doi.org/10.17703/IJACT.2021.9.3.352

News Article Identification Methods with Fact-Checking Guideline on Artificial Intelligence & Bigdata  

Kang, Jangmook (Dept. of Hacking & Security, Far East Univ.)
Lee, Sangwon (Dept. of Computer & Software Engineering, Wonkwang Univ.)
Publication Information
International Journal of Advanced Culture Technology / v.9, no.3, 2021 , pp. 352-359 More about this Journal
Abstract
The purpose of this study is to design and build fake news discrimination systems and methods using fact-checking guidelines. In other words, the main content of this study is the system for identifying fake news using Artificial Intelligence -based Fact-checking guidelines. Specifically planned guidelines are needed to determine fake news that is prevalent these days, and the purpose of these guidelines is fact-checking. Identifying fake news immediately after seeing a huge amount of news is inefficient in handling and ineffective in handling. For this reason, we would like to design a fake news identification system using the fact-checking guidelines to create guidelines based on pattern analysis against fake news and real news data. The model will monitor the fact-checking guideline model modeled to determine the Fact-checking target within the news article and news articles shared on social networking service sites. Through this, the model is reflected in the fact-checking guideline model by analyzing news monitoring devices that select suspicious news articles based on their user responses. The core of this research model is a fake news identification device that determines the authenticity of this suspected news article. So, we propose news article identification methods with fact-checking guideline on Artificial Intelligence & Bigdata. This study will help news subscribers determine news that is unclear in its authenticity.
Keywords
Artificial Intelligence; Bigdata; Fake News; Identification; Fact-Checking;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Y. Shon, J. Park, J. Kang, and S. Lee, "Design of Link Evaluation Method to Improve Reliability based on Linked Open Bigdata and Natural Language Processing", International Journal of Engineering and Technology, Vol. 7. No. 3. pp. 168-173, 2018. DOI: https://doi.org/10.14419/ijet.v7i3.33.18601.   DOI
2 T. Minami and K. Baba, "A Study on Finding Potential Group of Patrons from Library's Loan Records", International Journal of Advanced Smart Convergence, Vol. 2, No. 2, pp. 23-26, 2013. DOI: https://doi.org/10.7236/IJASC2013.2.2.6   DOI
3 S. Kim, H. Hwang, J. Lee, J. Choi, J. Kang, and S. Lee, "Design of Prevention Method Against Infectious Diseases based on Mobile Bigdata and Rule to Select Subjects Using Artificial Intelligence Concept", International Journal of Engineering and Technology, Vol. 7. No. 3. pp. 174-178, 2018. DOI: https://doi.org/10.14419/ijet.v7i3.33.18603.   DOI
4 H.C. Kang, K.B. Kang, H.K. Ahn, S.H. Lee, T.H. Ahn, and J.W. Jwa, "The Smart EV Charging System based on the Bigdata analysis of the Power Consumption Patterns", Vol. 9, No. 2, pp. 1-10, 2017. DOI: https://www.earticle.net/Journal/Issues/821/22509   DOI
5 S.J. Oh, "Design of a Smart Application using Bigdata", The Journal of The Institute of Internet, Broadcasting and Communication, Vol. 15, No. 6, pp. 17-24, 2015. DOI: https://www.earticle.net/Article/A259710   DOI
6 W.Y. Kim, "A Practical Study on Data Analysis Framework for Teaching 3D Printing in Elementary School", International Journal of Internet, Broadcasting and Communication, Vol. 8, No. 1, pp. 73-82, 2016. DOI: https://www.earticle.net/Article/A263475   DOI
7 I. Jung, H. Sun, J. Kang, C.H. Lee, and S. Lee, "Bigdata Analysis Model for MRO Business Using Artificial Intelligence System Concept", International Journal of Engineering and Technology, Vol. 7. No. 3. pp. 134-138, 2018. DOI: https://doi.org/10.14419/ijet.v7i3.33.18593.   DOI
8 S. Park, J.S. Hwang, and S. Lee, "A Study on the Link Server Development Using B-Tree Structure in the Bigdata Environment", Journal of Internet Computing and Services, Vol. 16. No. 1. pp. 75-82, 2015. DOI: https://doi.org/10.7472/jksii.2015.16.1.75.   DOI
9 Jumin Lee, S.B. Park, and S. Lee, "Are Negative Online Consumer Reviews Always Bad? A Two-Sided Message Perspective", Asia Pacific Journal of Information Systems, Vol. 25. No. 4. pp. 784-804, 2015. DOI: https://doi.org/10.14329/apjis.2015.25.4.784.   DOI
10 J.K. Kim, S.W. Lee, and D.O. Choi, "Relevance Analysis Online Advertisement and e-Commerce Sales", Journal of the Korea Entertainment Industry Association, Vol. 10. No. 2. pp. 27-35, 2016. DOI: https://doi.org/10.21184/jkeia.2016.04.10.2.27.   DOI
11 S.W. Lee, and S.H. Kim, "Finding Industries for Bigdata Usage on the Basis of AHP", Journal of Digital Convergence, Vol. 14. No. 7. pp. 21-27, 2016. DOI: https://doi.org/10.14400/JDC.2016.14.7.21.   DOI
12 S. Lee, and S.Y. Shin, "Design of Health Warning Model on the Basis of CRM by use of Health Bigdata", Journal of the Korea Institute of Information and Communication Engineering, Vol. 20. No. 4. pp. 1460-1465, 2016. DOI: https://doi.org/10.6109/jkiice.2016.20.8.1460.   DOI
13 M. Nam, and S. Lee, "Bigdata as a Solution to Shrinking the Shadow Economy", The E-Business Studies, Vol. 17. No. 5. pp. 107-116, 2016. DOI: https://doi.org/10.20462/TeBS.2016.10.17.5.107.   DOI
14 S.H. Kim, S. Chang, and S.W. Lee, "Consumer Trend Platform Development for Combination Analysis of Structured and Unstructured Bigdata", Journal of Digital Convergence, Vol. 15. No. 6. pp. 133-143, 2017. DOI: https://doi.org/10.14400/JDC.2017.15.6.133.   DOI
15 Y. Kang, S. Kim, J. Kim, and S. Lee, "Examining the Impact of Weather Factors on Yield Industry Vitalization on Bigdata Foundation Technique", Journal of the Korea Entertainment Industry Association, Vol. 11. No. 4. pp. 329-340, 2017. DOI: https://doi.org/10.21184/jkeia.2017.06.11.4.329.   DOI
16 S. Kim, S. Park, J. Kang, and S. Lee, "The Model of Bigdata Analysis for MICE Using IoT (Beacon) and Artificial Intelligence Service (Recommendation, Interest, and Movement)", International Journal of Engineering and Technology, Vol. 7. No. 3. pp. 314-318, 2018. DOI: https://doi.org/10.14419/ijet.v7i3.33.21192.   DOI
17 S.H. Kim, J.K. Choi, J.S. Kim, A.R. Jang, J.H. Lee, K.J. Cha, and S.W. Lee, "Animal Infectious Diseases Prevention through Bigdata and Deep Learning", Journal of Intelligence and Information Systems, Vol. 24. No. 4. pp. 137-154, 2018. DOI: https://doi.org/10.13088/jiis.2018.24.4.137.   DOI
18 S. Lee, and I. Jung, "Development of a Platform Using Bigdata-Based Artificial Intelligence to Predict New Demand of Shipbuilding", The Journal of The Institute of Internet, Broadcasting and Communication, Vol. 19. No. 1. pp. 171-178, 2019. DOI: https://doi.org/10.7236/JIIBC.2019.19.1.171.   DOI
19 S.B. Park, S. Lee, S.W. Chae, and H. Zo, "An Empirical Study of the Factors Influencing the Task Performances of SaaS Users", Asia Pacific Journal of Information Systems, Vol. 25. No. 2. pp. 265-288, 2015. DOI: https://doi.org/10.14329/apjis.2015.25.2.265.   DOI
20 S. Park, and S. Lee, "Bigdata-oriented Analysis on Issues of the Hyper-connected Society", The E-Business Studies, Vol. 16. No. 5. pp. 3-18, 2015. DOI: https://doi.org/10.15719/geba.16.5.201510.3.   DOI
21 H. Hwang, S. Lee, S. Kim, and S. Lee, "Building an Analytical Platform of Bigdata for Quality Inspection in the Dairy Industry: A Machine Learning Approach", Journal of Intelligence and Information Systems, Vol. 24. No. 1. pp. 125-140, 2018. DOI: https://doi.org/10.13088/jiis.2018.24.1.125.   DOI
22 S.H. Kim, M.S. Kang, and Y.G. Jung, "Bigdata Analysis using Python in Agriculture Forestry and Fisheries", International Journal of Advanced Smart Convergence, Vol. 5. No. 1, pp. 47-50, 2016. DOI: https://doi.org/10.7236/IJASC.2016.5.1.47   DOI
23 Y.I. Kim, S.S. Yang, S.S. Lee, S.C. Park, "Design and Implementation of Mobile CRM Utilizing Bigdata Analysis Techniques", The Journal of The Institute of Internet, Broadcasting and Communication, Vol. 14, No. 6, pp. 289-294, 2014. DOI: https://doi.org/10.7236/JIIBC.2014.14.6.289   DOI