Comparing and combining Content- and Citation-based approaches for plagiarism detection

Journal of the Association for Information Science and Technology

Volumn 67, Issue 10, 2016, Pages 2511-2526

  Pertile, Solange de L ^a   Moreira, Viviane P ^a   Rosso, Paolo ^b  

^a FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

bibliographic coupling; co citation analysis; plagiarism

Indexed keywords

INFORMATION ANALYSIS;

BIBLIOGRAPHIC COUPLINGS; CO-CITATION ANALYSIS; CONTENT AND STRUCTURE; PLAGIARISM; PLAGIARISM DETECTION; REAL DATA SETS; SCIENTIFIC PAPERS; SCIENTIFIC PUBLICATIONS;

INTELLECTUAL PROPERTY;

CITATION ANALYSIS; EXPERIMENTAL MODEL; HUMAN; PUBLISHING; SCIENTIST;

EID: 84987652942     PISSN: 23301635     EISSN: 23301643     Source Type: Journal    
DOI: 10.1002/asi.23593     Document Type: Article

References (56)

1. Alzahrani, S., Palade, V., Salim, N., & Abraham, A. (2012). Using structural information and citation evidence to detect significant plagiarism cases in scientific publications. Journal of the American Society for Information Science and Technology, 63(2), 286–312.
2. Anderson, M.S., & Steneck, N.H. (2011). The problem of plagiarism. Urologic Oncology: Seminars and Original Investigations, 29(1), 90–94.
3. Ashworth, P., Bannister, P., & Thorne, P., for the Qualitative Research Methods Course Unit, S. (1997). Guilty in whose eyes? University students's perceptions of cheating and plagiarism in academic work and assessment. Studies in Higher Education, 22(2), 187–203.
4. Barrón-Cedeño, A., & Rosso, P. (2009). On automatic plagiarism detection based on n-grams comparison. In ECIR (pp. 696–700).
5. Barrón-Cedeño, A., Vila, M., Martí, M.A., & Rosso, P. (2013). Plagiarism meets paraphrasing: Insights for the next generation in automatic plagiarism detection. Computational Linguistics, 39(4), 917–947.
6. Beall, J. (2013). Five ways to defeat automated plagiarism detection. Retrieved from http://scholarlyoa.com/2013/02/07/five-ways-to-defeat-automated-plagiarism-detection/
7. Burget, R. (2007). Automatic document structure detection for data integration. In Proceedings of the 10th International Conference on Business Information Systems (pp. 391–397).
8. Chow, T., & Rahman, M. (2009). Multilayer SOM with tree-structured data for efficient document retrieval and plagiarism detection. IEEE Transactions on Neural Networks, 20(9), 1385–1402.
9. Collberg, C., & Kobourov, S. (2005). Self-plagiarism in computer science. Communications of the ACM, 48(4), 88–94.
10. Councill, I.G., Giles, C.L., & yen Kan, M. (2008). ParsCit: An open-source CRF reference string parsing package. In International Language Resources and Evaluation. European Language Resources Association.
11. Cronin, B. (2013). Self-plagiarism: An odious oxymoron. Journal of the American Society for Information Science and Technology, 64(5), 873.
12. El Bachir Menai, M., & Bagais, M. (2011). APlag: A plagiarism checker for Arabic texts. In Computer Science Education (iccse), 2011 6th International Conference on (pp. 1379–1383).
13. Fang, F.C., Steen, R.G., & Casadevall, A. (2012). Misconduct accounts for the majority of retracted scientific publications. Proceedings of the National Academy of Sciences, 109(42), 17028–17033.
14. Fleiss, J. (1971). Measuring nominal scale agreement among many raters. Psychological Bulletin, 76(5), 378–382.
15. García-Romero, A., & Estrada-Lorenzo, J. (2014). A bibliometric analysis of plagiarism and self-plagiarism through Déjà vu. Scientometrics, 101(1), 381–396.
16. Garner, H. (2014). The case of the stolen words. Scientific American, 310(3), 64–67.
17. Gipp, B., & Beel, J. (2010). Citation based Plagiarism detection: A new approach to identify plagiarized work language independently. In Proceedings of the 21st ACM Conference on Hypertext and Hypermedia (pp. 273–274).
18. Gipp, B., & Meuschke, N. (2011). Citation pattern matching algorithms for citation-based plagiarism detection: Greedy citation tiling, citation chunking and longest common citation sequence. In Proceedings of the 11th ACM Symposium on Document Engineering (DocEng2011).
19. Gipp, B., Meuschke, N., Breitinger, C., Lipinski, M., & Nürnberger, A. (2013). Demonstration of citation pattern analysis for plagiarism detection. In Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1119–1120).
20. Gipp, B., Meuschke, N., & Breitinger, C. (2014). citation-based plagiarism detection: Practicability on a large-scale scientific corpus. Journal of the Association for Information Science and Technology, 65(8), 1527–1540.
21. Grman, J., & Ravas, R. (2011). Improved implementation for finding text similarities in large sets of data—notebook for PAN at CLEF 2011. In CLEF (Notebook Papers/Labs/Workshop).
22. Grozea, C., & Popescu, M. (2011). The Encoplot similarity measure for automatic detection of plagiarism—notebook for PAN at CLEF 2011. In CLEF (Notebook Papers/Labs/Workshop).
23. Grozea, C., Gehl, C., & Popescu, M. (2009). Encoplot: Pairwise sequence matching in linear time applied to plagiarism detection. In CLEF (Notebook Papers/Labs/Workshop).
24. Gullifer, J., & Tyson, G.A. (2010). Exploring university students perceptions of plagiarism: A focus group study. Studies in Higher Education, 35(4), 463–481.
25. Gupta, P., & Rosso, P. (2012). Text reuse with ACL: (upward) trends. In Proceedings of the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries (pp. 76–82).
26. HaCohen-Kerner, Y., Tayeb, A., & Ben-Dror, N. (2010). Detection of simple plagiarism in computer science papers. In Proceedings of the 23rd International Conference on Computational Linguistics (pp. 421–429).
27. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I.H. (2009). The Weka data mining software: An update. ACM SIGKDD Explorations Newsletter, 11(1), 10–18.
28. Hoad, T.C., & Zobel, J. (2003). Methods for identifying versioned and plagiarized documents. Journal of the American Society for Information Science and Technology, 54, 203–215.
29. Juola, P. (2006). Authorship attribution. Foundations and Trends in Information Retrieval, 1(3), 233–334.
30. Kasprzak, J., & Brandejs, M. (2010). Improving the reliability of the plagiarism detection system—lab report for PAN at CLEF 2010. In CLEF (notebook papers/labs/workshop) (pp. 1–10).
31. Kernighan, B.W., & Ritchie, D.M. (1988). The C Programming Language. Englewood Cliffs, NJ: Prentice-Hall.
32. Kong, L., Qi, H., Wang, S., Du, C., Wang, S., & Han, Y. (2012). Approaches for candidate document retrieval and detailed comparison of plagiarism detection. In CLEF (Online Working Notes/Labs/Workshop).
33. Kong, L., Qi, H., Du, C., Wang, S., Wang, S., & Han, Z. (2013). Approaches for source retrieval and text alignment of plagiarism detection—notebook for PAN at CLEF 2013. In CLEF (Notebook Papers/Labs/Workshop).
34. Malcolm, J.A., & Lane, P.C.R. (2009). Tackling the PAN'09 external plagiarism detection corpus with a desktop plagiarism detector. In CEUR-WS.org (Vol. 502, 29–33).
35. Maurer, H., Kappe, F., & Zaka, B. (2006). Plagiarism—a survey. Journal of Universal Computer Science, 12(8), 1050–1084.
36. McCabe, D.L. (2005). Cheating among college and university students: A north american perspective. International Journal for Educational Integrity, 1(1996), http://www.ojs.unisa.edu.au/journals/index.php/IJES/article/viewFile/14/64.
37. Meuschke, N., Gipp, B., & Breitinger, C. (2012). CitePlag: A citation-based plagiarism detection system prototype. In Proceedings of the 5th International Plagiarism Conference. Newcastle upon Tyne, UK.
38. Park, C. (2003). In other (people's) words: Plagiarism by university students–literature and lessons. Assessment & Evaluation in Higher Education, 28(5), 471–488.
39. Pertile, S., Rosso, P., & Moreira, V.P. (2013). Counting co-occurrences in citations to identify plagiarized text fragments. In CLEF (Notebook Papers/Labs/Workshop) (pp. 150–154).
40. Potthast, M., Stein, B., Barrón-Cedeño, A., & Rosso, P. (2010). An evaluation framework for plagiarism detection. In Proceedings of the 23rd International Conference on Computational Linguistics: Posters (pp. 997–1005).
41. Potthast, M., Hagen, M., Stein, B., Grassegger, J., Michel, M., Tippmann, M., & Welsch, C. (2012). ChatNoir: A search engine for the ClueWeb09 corpus. In Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1004).
42. Sanchez-Perez, M.A., Sidorov, G., & Gelbukh, A.F. (2014). A winning approach to text alignment for text reuse detection at PAN 2014. In Working Notes for CLEF 2014 Conference, Sheffield, UK, 2014. (pp. 1004–1011).
43. Sorokina, D., Gehrke, J., Warner, S., & Ginsparg, P. (2006). Plagiarism detection in arxiv. In Proceedings of the Sixth International Conference on Data Mining (pp. 1070–1075). IEEE Computer Society.
44. Spärk Jones, K., & Van Rijsbergen, C.J. (1975). Report on the Need for and Provision of an Ideal Information Retrieval Test Collection. Computer Laboratory: University of Cambridge, Cambridge, UK.
45. Stamatatos, E. (2011). Plagiarism detection using stopword n-grams. Journal of the American Society for Information Science and Technology, 62(12), 2512–2527.
46. Stein, B., & Meyer, S. (2006). Near similarity search and plagiarism analysis. In Gfkl (pp. 430–437).
47. Stein, B., & zu Eissen, S.M. (2006). Intrinsic plagiarism detection. In ECIR (pp. 565–569).
48. Stein, B., zu Eissen, S.M., & Potthast, M. (2007). Strategies for retrieving plagiarized documents. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 825–826). New York: ACM.
49. Stoffel, A., Spretke, D., Kinnemann, H., & Keim, D.A. (2010). Enhancing document sstructure analysis using visual analytics. In Proceedings of the 2010 ACM Symposium on Applied Computing (pp. 8–12).
50. Torrejón, D.A.R., & Ramos, J.M.M. (2010). CoReMo System (Contextual Reference Monotony)—Lab Report for PAN at CLEF 2010.
51. Torrejón, D.A.R., & Ramos, J.M.M. (2013). Text alignment module in CoReMo 2.1 plagiarism detector—notebook for PAN at CLEF 2013. In CLEF (Notebook Papers/Labs/Workshop).
52. Vallés Balaguer, E. (2009). Putting ourselves in sme's shoes: Automatic detection of plagiarism by the wcopyfind tool. In Proceedings of the SEPLN'09 Workshop on Uncovering Plagiarism, Authorship and Social Software Misuse (pp. 34–35).
53. Walker, J. (2010). Measuring plagiarism: Researching what students do, not what they say they do. Studies in Higher Education, 35(1), 41–59.
54. Youmans, R.J. (2011). Does the adoption of plagiarism-detection software in higher education reduce plagiarism? Studies in Higher Education, 36(7), 749–761.
55. Zhang, H., & Chow, T.W. (2011). A coarse-to-fine framework to efficiently thwart plagiarism. Pattern Recognition, 44(2), 471–487.
56. Zhang, Y. (2010). CrossCheck: An effective tool for detecting plagiarism. Learned Publishing, 23, 9–14.