Browse > Article
http://dx.doi.org/10.13089/JKIISC.2016.26.5.1191

Author Identification Using Artificial Neural Network  

Jung, Jisoo (School of Information Security, Korea University)
Yoon, Ji Won (School of Information Security, Korea University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.26, no.5, 2016 , pp. 1191-1199 More about this Journal
Abstract
To ensure the fairness, journal reviewers use blind-review system which hides the author information of the journal. Even though the author information is blinded, we could identify the author by looking at the field of the journal or containing words and phrases in the text. In this paper, we collected 315 journals of 20 authors and extracted text data. Bag-of-words were generated after preprocessing and used as an input of artificial neural network. The experiment shows the possibility of circumventing the blind review through identifying the author of the journal. By the experiment, we demonstrate the limitation of the current blind-review system and emphasize the necessity of robust blind-review system.
Keywords
Artificial Neural Network; Author Identification; Classification;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Jain, Anil K., Jianchang Mao, and K. Moidin Mohiuddin, "Artificial neural networks: A tutorial," IEEE computer, vol. 29, no. 3, pp. 31-44, Mar. 1996.
2 Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer-Verlag New York, 2006.
3 Hye-Yong Park and Kwan-Yong Lee, Pattern recognition and Machine learning, EHAN, Mar. 2011.
4 Yankauer, Alfred, "How blind is blind review?," American Journal of Public Health, vol. 81, no. 7, pp.843-845, Jul. 1991.   DOI
5 Hill, Shawndra and Foster Provost, "The myth of the double-blind review?: author identification using only citations," ACM SIGKDD Explorations Newsletter, vol. 5, no. 2, pp. 179-184, Dec. 2003.   DOI
6 Luyckx, Kim and Walter Daelemans, "Authorship attribution and verification with many authors and limited data," Proceedings of the 22nd International Conference on Computational Linguistics, vol. 1, pp. 513-520, Aug. 2008.
7 Cybenko, George, "Approximation by superpositions of a sigmoidal function," Mathematics of control, signals and systems, vol. 2, no. 4, pp. 303-314, Dec. 1989.   DOI
8 Hecht-Nielsen, Robert, "Theory of the backpropagation neural network," Neural Networks, 1989. IJCNN., International Joint Conference on. IEEE, vol. 1, no. 1, pp. 593-605, Feb. 1989.
9 Doucet, Arnaud and Adam M. Johansen, "A tutorial on particle filtering and smoothing: Fifteen years later," Handbook of nonlinear filtering, vol. 12, no. 3, pp. 656-704, Dec. 2008.
10 Aleman-Meza, Boanerges, et al, "Semantic analytics on social networks: experiences in addressing the problem of conflict of interest detection," Proceedings of the 15th international conference on World Wide Web. ACM, pp. 407-416, May. 2006.