Writeprints: A stylometric approach to identity-level identification and similarity detection in cyberspace

ACM Transactions on Information Systems

Volumn 26, Issue 2, 2008, Pages

  Abbasi, Ahmed ^a   Chen, Hsinchun ^a  

^a UNIVERSITY OF ARIZONA   (United States)

Author keywords

Discourse; Online text; Style classification; Stylometry; Text mining

Indexed keywords

ACCOUNTABILITY; ONLINE TEXT; STYLE CLASSIFICATION; STYLOMETRY;

CLASSIFICATION (OF INFORMATION); COMPUTER CRIME; DATA MINING; ELECTRONIC MAIL; FEEDBACK; MESSAGE PASSING;

ONLINE SYSTEMS;

EID: 42049084142     PISSN: 10468188     EISSN: 15582868     Source Type: Journal    
DOI: 10.1145/1344411.1344413     Document Type: Article

References (65)

1. ABBASI, A. AND CHEN, H. 2005. Identification and comparison of extremist-group Web forum messages using authorship analysis. IEEE Intel. Syst. 20, 5, 67-75.
2. ABBASI, A. AND CHEN, H. 2006. Visualizing authorship for identification. In Proceedings of the 4th IEEE Symposium on Intelligence and Security Informatics, San Diego, CA.
3. AIROLDI, E. AND MALIN, B. 2004. Data mining challenges for electronic safety: The case of fraudulent intent detection in e-mails. In Proceedings of the Workshop on Privacy and Security Aspects of Data Mining.
4. ARGAMON, S., SARIC, M., AND STEIN, S. S. 2003. Style mining of electronic messages for multiple authorship discrimination: First results In Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
5. ARGAMON, S., KOPPEL, M., AND AVNERI, G. 1998. Routing documents according to style. In Proceedings of the 1st International Workshop on Innovative Information.
6. BAYYEN, R. H., HALTEREN, H. V., NEIJT, A., AND TWEEDIE, F. J. 2002. An experiment in authorship attribution. In Proceedings of the 6th International Conference on Statistical Analysis of Textual Data.
7. BAYYEN, R. H., HALTEREN, H. V., AND TWEEDIE, F. J. 1996. Outside the cave of shadows: Using syntactic annotation to enhance authorship attribution. Liter. Linguist. Comput. 2, 110-120.
8. BERRY, R. E. AND MEEKINGS, B. A. E. 1985. A style analysis of C programs. Commun. ACM 28, 1, 80-88.
9. BINONGO, J. N. G. AND SMITH, M. W. A. 1999. The application of principal component analysis to stylometry. Liter. Linguist. Compu. 14, 4, 445-466.
10. BURROWS, J. F. 1987. Word patterns and story shapes: The statistical analysis of narrative style. Liter. Linguist. Comput. 2, 61-67.
11. CHASKI, C. E. 2005. Who's at the keyboard? Authorship attribution in digital evidence investigation. Int. J. Digit. Evidence 4, 1, 1-13.
12. CHASKI, C. E. 2001. Empirical evaluation of language-based author identification techniques. Forensic Linguist. 8, 1, 1-65.
13. CHERKAUER, K. J. 1996. Human expert-level performance on a scientific image analysis task by a system using combined artificial neural networks, In Working Notes of the AAAI Workshop on Integrating Multiple Learned Models, P. Chan, ed., 15-21.
14. CORNEY, M., DE VEL, O., ANDERSON, A., AND MOHAY, G. 2002. Gender-Preferential text mining of email discourse. In 18th Annual Computer Security Applications Conference, Las Vegas, NV.
15. DASH, M. AND LIU, H. 1997. Feature selection for classification. Intell. Data, Anal. 1, 131-156.
16. DE VEL, O., ANDERSON, A., CORNEY, M., AND MOHAY, G. 2001. Mining e-mail content for author identification forensics. ACM SIGMOD Rec. 30, 4, 55-64.
17. DIETTERICH, T. G. 2000. Ensemble methods in machine learning. In Proceedings of the 1st International Workshop on Multiple Classifier Systems, 1-15.
18. DIEDERICH, J., KINDERMANN, J., LEOPOLD, E., AND PAASS, G. 2003. Authorship attribution with support vector machines. Appl. Intell. 19, 109-123.
19. DING, H. AND SAMADZAHEH, H. M. 2004. Extraction of Java program fingerprints for software authorship identification. J. Syst. Softw. 72, 49-57.
20. EFRON, M., MARCHIONINI, G., AND ZHIANG, J. 2004. Implications of the recursive representation problem for automatic concept identification in on-line government information. In Proceedings of the ASIST SIG-CR Workshop.
21. ERICKSON, T. AND KELLOGG, W. A. 2000. Social translucence: An approach to designing systems that support social processes. ACM Trans. Comput. Hum. Interact. 7, 1, 59-83.
22. FELLBAUM, C. 1998. Wordnet: An Electronic Lexical Database. MIT Press, Cambridge, MA.
23. FORMAN, G. 2003. An extensive empirical study of feature selection metrics for text classification, Journal of Machine Learning Research 3, 1289-1305.
24. FORSYTH, R. S. AND HOLMES, D. I. 1996. Feature finding for text classification. Litera. Linguist. Comput. 11, 4, 163-174.
25. GARSON, G. D. 2006. Public Information Technology and E-Governance: Managing the Virtual State. Jones and Bartlet, Boston, MA.
26. GRAY, A., SALLIS, P., AND MACDONNEL, S. 1997. Software forensics: Extended authorship analysis techniques to computer programs. In Proceedings of the 3rd Biannual Conference on the International Association of Forensic Linguists.
27. GUYON, I., AND ELISSEEFF, A. 2003. An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157-1182.
28. HAYNE, C. S. AND RICE, E. R. 1997. Attribution accuracy when using anonymity in group support systems. Int. J. Hum. Comput. Studies 47, 429-452.
29. HAYNE, C. S., POLLARD, E. C., AND RICE, E. R. 2003. Identification of comment authorship in anonymous group support systems. J. Manage. Inf. Syst. 20, 1, 301-329.
30. HERRING, S. C. 2002. Computer-Mediated communication on the Internet. Ann. Rev. Inf. Sci. Technol. 36, 1, 109-168.
31. HOLMES, D. I. 1992. A stylometric analysis of Mormon scripture and related texts. J. Royal Statis. Soci. 155, 91-120.
32. JACKSON, D. 1993. Stopping rules in principal component analysis: A comparison of heuristical and statistical approaches. Ecol. 74, 8, 2204-2214.
33. JOSANG, A., ISMAIL, R., AND BOYD, C. 2007. A survey of trust and reputation systems for online service provision. Decis. Support Syst. 43, 2, 618-644.
34. JUOLA, P. AND BAAYEN, H. 2005. A controlled-corpus experiment in authorship identification by cross-entropy. Liter. Linguist. Comput. 20, 59-67.
35. KIRBY, M. AND SIROVICH, L. 1990. Application of the Karhunen-Loeve procedure for the characterization of human faces. IEEE Trans. Pattern Anal. Mach. Intell. 12, 1, 103-108.
36. KJELL, B. WOODS, W. A., AND FRIEDER, O. 1994. Discrimination of authorship using visualization. Inf. Process. Manage. 30, 1, 141-150.
37. KOPPEL, M. AND SCHLER, J. 2003. Exploiting stylistic idiosyncrasies for authorship attribution. In Proceedings of the IJCAI Workshop on Computational Approaches to Style Analysis and Synthesis, Acapulco, Mexico.
38. KOPPEL, M. AKIVA, N., AND DAGAN, I. 2006. Feature instability as a criterion for selecting potential style markers. J. Amer. Soc. Inf. Sci. Technol. 57, 11, 1519-1525.
39. KRSUL, I. AND SPAFFORD, H. E. 1997. Authorship analysis: Identifying the author of a program. Comput. Secur. 16, 3, 233-257.
40. LI, J., ZHENG, R., AND CHEN, H. 2006. From fingerprint to writeprint. Commun. ACM49, 4, 76-82.
41. MARTINDALE, C. AND MCKENZIE, D. 1995. On the utility of content analysis in author attribution: The federalist. Comput. Humanit. 29, 259-270.
42. MCDONALD, D., CHEN, H., HUA, S., AND MARSHALL, B. 2004. Extracting gene pathway relations using a hybrid grammar: The Arizona relation parser. Bioinf. 20, 18, 3370-3378.
43. MERRIAM, T. V. N. AND MATTHEWS, R. A. J. 1994. Neural computation in stylometry II: An application to the works of Shakespeare and Marlowe. Liter. Linguist. Comput. 9, 1-6.
44. MOORES, T. AND DHILLON, G. 2000. Software piracy: A view from Hong Kong. Commun. ACM 43, 12, 88-93.
45. MORZY, M. 2005. New algorithms for mining the reputation of participants of online auctions. In Proceedings of the 1st Workshop on Internet and Network Economics, Hong Kong.
46. MOSTELLER, F. 1964. Applied Bayesian and Classical Inference: The Case of the Federalist Papers 2nd ed., Springer.
47. OMAN, W. P. AND COOK, R. C. 1989. Programming style authorship analysis. In Proceedings of the 17th Annual ACM Computer Science Conference, 320-326.
48. PAN, Y. 2006. ID identification in online communities. Working paper.
49. PENG, F. SCHUURMANS, D., KESELJ, V., AND WANG, S. 2003. Automated authorship attribution with character level language models. In Proceedings of the 10th Conference of the European Chapter of the Association for Computational Linguistics.
50. PLATT, J. 1999. Fast training on SVMs using sequential minimal optimization. In Advances in Kernel Methods: Support Vector Learning, B. Scholkopf et al., eds. MIT Press, Cambridge, MA, 185-208.
51. RUDMAN, J. 1997. The state of authorship attribution studies: Some problems and solutions. Comput. Humanit. 31, 351-365.
52. SACK, W. 2000. Conversation Map: An interface for very large-scale conversations. J. Manage. Inf. Syst. 17, 3, 73-92.
53. STAMATATOS, E. AND WIDME, R. G. 2002. Music performer recognition using an ensemble of simple classifiers. In Proceedings of the 15th European Conference on Artificial Intelligence, Lyon, France.
54. STAMATATOS, E., FAKOTAKIS, N., AND KOKKINAKIS, G. 2000. Automatic text categorization in terms of genre and author. Comput. Linguist 26, 4, 471-495.
55. SULLIVAN, B. 2005. Seduced into scams: Online lovers often duped. MSNBC, July 28.
56. TWEEDIE, F. J., SINGH, S., AND HOLMES, D. I. 1996. Neural network applications in stylometry: The Federalist papers. Comput. Humanit. 30, 1, 1-10.
57. UENOHARA, M. AND KANADE, T. 1997. Use of the Fourier and Karhunen-Loeve decomposition for fast pattern matching with a large set of features. IEEE Trans. Pattern Analy. Mach. Intell. 19, 8, 891-897.
58. WANG, H., FAN, W., AND YU, S. P. 2003. Mining concept-drifting data streams using ensemble classifiers. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
59. WATANBE, S. 1985. Pattern Recognition: Human and Mechanical. John Wiley, New York.
60. WEBB, A. 2002. Statistical Pattern Recognition. John Wiley, New York.
61. WHITELAW, C. AND ARGAMON, S. 2004. Systemic functional features in stylistic text classification. In Proceedings of the AAAI Symposium on Style and Meaning in Language, Art, Music and Design, Washington, DC.
62. YANG, Y. AND PEDERSON, J. O. 1997. A comparative study on feature selection in text categorization. In Proceedings of the 14th International Conference on Machine Learning, 412-420.
63. YULE, G. U. 1944. The Statistical Study of Literary Vocabulary. Cambridge University Press.
64. YULE, G. U. 1938. On sentence length as a statistical characteristic on style prose. Biometrika 30.
65. ZHENG, R., LI, J., HUANG, Z., AND CHEN, H. 2006. A framework for authorship analysis of online messages: Writing-style features and techniques. J. Amer. Soc. Inf. Sci. Technol. 57, 3, 378-393.