Authorship verification of opinion articles in online newspapers using the idiolect of author: a comparative study

References

• Abbasi, A., & Chen, H. (2005). Applying authorship analysis to Arabic web content. Proceedings of the 2005 IEEE international conference on intelligence and security informatics, Atlanta, GA: Springer-Verlag.
   Google Scholar
• Abbasi, A., & Chen, H. (2008). Writeprints. ACM Transactions on Information Systems, 26(2), 1–29. doi: 10.1145/1344411.1344413
   Web of Science ®Google Scholar
• Afroz, S. (2013). Deception in authorship attribution (Doctoral dissertation). Drexel University.
   Google Scholar
• Bloomfield, L. (1933). Language. New York, NY: Holt, Rinehart, and Winston.
   Google Scholar
• Bogdanova, D., & Lazaridou, A. (2014). Cross-language authorship attribution. In: LREC. [online]. Reykjavik, European Language Resources Association (ELRA).
   Google Scholar
• Bouanani, S. E. M. E., & Kassou, I. (2014). Authorship analysis studies: A survey. International Journal of Computer Applications, 86(12), 22–29. doi: 10.5120/15038-3384
   Google Scholar
• Chen, X., Hao, P., Chandramouli, R., & Subbalakshmi, K. P. (2011). Authorship similarity detection from email messages. Proceedings of the 7th international conference on machine learning and data mining in pattern recognition, New York, NY: Springer-Verlag.
   Google Scholar
• Corney, M. (2003). Analysing e-mail text authorship for forensic purposes (Unpublished master’s thesis). Queensland University of Technology.
   Google Scholar
• Coulthard, M. (1992). Forensic discourse analysis. In M. Coulthard (Ed.), Advances in spoken discourse analysis (pp. 242–253). London: Routledge.
   Google Scholar
• Coulthard, M. (2004). Author identification, idiolect and linguistic uniqueness. Applied Linguistics, 25(4), 431–477. doi: 10.1093/applin/25.4.431
   Web of Science ®Google Scholar
• Das, P., Saha, N., & Saha, H. (2018). Authorship attribution of short texts using multi-layer perceptron. International Journal of Applied Pattern Recognition, 5(3), 251. doi: 10.1504/IJAPR.2018.10016100
   Web of Science ®Google Scholar
• Das, P., Tasmim, R., & Ismail, S. (2015). An experimental study of stylometry in Bangla literature. Proceedings of the 2nd international conference on electrical information and communication technologies (EICT) (pp. 575–580). Khulna, Bangladesh: IEEE.
   Google Scholar
• Diederich, J., Kindermann, R., Leopold, E., & Paass, G. (2003). Authorship attribution with support vector machines. Applied Intelligence, 19, 109–123. doi: 10.1023/A:1023824908771
   Web of Science ®Google Scholar
• Duppenthaler, P. (2004). A comparison of essays written by native and nonnative speakers of English on the topic Kokusai Shakai (International Society). American Educational Research Association (AERA) annual meeting, San Diego, CA: Pearson Education.
   Google Scholar
• Elayidom, M. S., Jose, C., Puthussery, A., & Sasi, N.K. (2013). Text classification for authorship attribution analysis. CoRR, 4, 10. abs/1310.4909.
   Google Scholar
• Ge, Z., Sun, Y., & Smith, M. J. T. (Eds.). (2016). Authorship attribution using a neural network language model. Proceedings of the thirtieth AAAI conference on artificial intelligence, Phoenix, Arizona: AAAI Press.
   Google Scholar
• Gray, A., Sallis, P., & Macdonell, S. (1997). Software forensics: Extending authorship analysis techniques to computer programs. Paper presented at the 3rd biannual conference of the International Association of Forensic Linguists (IAFL).
   Google Scholar
• Grieve, J. (2007). Quantitative authorship attribution: An evaluation of techniques. Literary and Linguistic Computing, 22, 251–270. doi: 10.1093/llc/fqm020
   Google Scholar
• Halliday, M. A. K., Mcintosh, A., & Strevens, P. (1964). The linguistic science and language teaching. London: Longman.
   Google Scholar
• Halvani, O., Winter, C., & Graner, L. (Eds.). (2017). On the usefulness of compression models for authorship verification. Proceedings of the 12th international conference on availability, reliability and security, Reggio Calabria, Italy: ACM.
   Google Scholar
• Halvani, O., Winter, C., & Pflug, A. (2016). Authorship verification for different languages, genres and topics. Digital Investigation, 16, 33–43. doi: 10.1016/j.diin.2016.01.006
   Web of Science ®Google Scholar
• Hussein, K. (2019). Authorship verification in Arabic using function words: A controversial case study of Imam Ali’s book Peak of Eloquence. International Journal of Humanities and Arts Computing, 13(1-2), 223–248. doi: 10.3366/ijhac.2017.0187
   Google Scholar
• Kapočiūtė-Dzikienė, J., Utka, A., & Sarkute, L. (2015). Authorship attribution and author profiling of Lithuanian literary texts. Proceedings of the 5th workshop on balto-slavic natural language processing (pp. 96–105). Hissar, Bulgaria: Vytautas Magnus University Library.
   Google Scholar
• Kjell, B., Woods, W. A., & Frieder, O. (1994). Discrimination of authorship using visualization. Information Processing & Management, 30, 141–150. doi: 10.1016/0306-4573(94)90029-9
   Web of Science ®Google Scholar
• Koppel, M., Schler, J., & Argamon, S. (2009). Computational methods in authorship attribution. Journal of the American Society for Information Science and Technology, 60, 9–26. doi: 10.1002/asi.20961
   Web of Science ®Google Scholar
• Koppel, M., Schler, J., & Zigdon, K. (Eds.). (2005). Determining an author’s native language by mining a text for errors. Proceedings of the eleventh ACM SIGKDD international conference on knowledge discovery in data mining, Chicago, IL, USA: ACM.
   Google Scholar
• Koppel, M., & Winter, Y. (2013). Determining if two documents are written by the same author. Journal of the Association for Information Science and Technology, 65(1), 178–187. doi: 10.1002/asi.22954
   Web of Science ®Google Scholar
• López-Escobedo, F., Méndez-Cruz, C.-F., Sierra, G., & Solórzano-Soto, J. (2013). Analysis of stylometric variables in long and short texts. Procedia – Social and Behavioral Sciences, 95, 604–611. doi: 10.1016/j.sbspro.2013.10.688
   Google Scholar
• Lutoslawski, W. (1897). On stylometry. The Classical Review, 11(06), 284–286. doi: 10.1017/S0009840X00032315
   Google Scholar
• Luyckx, K., & Daelemans, W. (2010). The effect of author set size and data size in authorship attribution. Literary and Linguistic Computing, 26, 35–55. doi: 10.1093/llc/fqq013
   Google Scholar
• Margaj, S., & Purohit, D. S. (2016). Effective analysis of multilayer perceptron and sequential minimal optimization in prediction of dyscalculia among primary school children. International Journal of Science and Research (IJSR), 5, 8. doi: 10.21275/v5i1.NOV152524
   Google Scholar
• Marukatat, R., Somkiadcharoen, R., Nalintasnai, R., & Aramboonpong, T. (2014). Authorship attribution analysis of Thai online messages. In International conference on information science & applications (ICISA) (pp. 1–4), 6–9 May 2014.
   Google Scholar
• Mcdonald, A. W. E., Afroz, S., Caliskan, A., Stolerman, A., & Greenstadt, R. (2012). Use fewer instances of the letter “i”: Toward writing style anonymization. Proceedings of the 12th international conference on privacy enhancing technologies (pp. 299–318). Vigo, Spain: Springer-Verlag.
   Google Scholar
• Mikros, G. K. (2012). Authorship attribution and gender identification in Greek blogs. Methods and Applications of Quantitative Linguistics, 21, 21–32.
   Google Scholar
• Mikros, G. K., & Argiri, E. K. (2007). Investigating topic influence in authorship attribution. Paper presented at the SIGIR 2007 International Workshop on Plagiarism Analysis, Authorship Identification, and Near-Duplicate Detection, Amsterdam, Netherlands: DBLP.
   Google Scholar
• Nini, A. (2015). Authorship profiling in a forensic context (Doctoral dissertation). Aston University.
   Google Scholar
• Nirkhi, S., Dharaskar, R. V., & Thakare, V. M. (2016). Authorship verification of online messages for forensic investigation. Procedia Computer Science, 78, 640–645. doi: 10.1016/j.procs.2016.02.111
   Google Scholar
• Ouamour, S., & Sayoud, H. (2013). Authorship attribution of short historical arabic texts based on lexical features. Proceedings of the international conference on cyber-enabled distributed computing and knowledge discovery (pp. 144–147).
   Google Scholar
• Paul, H. (1889). Principles of the History of language. (H. A. Strong. Trans.). New York, NY: Macmillan & Co.
   Google Scholar
• Pentel, A. (2015). Employing relation between reading and writing skills on age based categorization of short Estonian texts. Paper presented at the UMAP Workshops.
   Google Scholar
• Petmanson, T. (2014). Authorship verification of opinion pieces in Estonian. Estonian Papers in Applied Linguistics, 10, 259–267.
   Google Scholar
• Raju, N., Sadhvi, C., Tejaswini, P., & Mounica, Y. (2017). Style based authorship attribution on English editorial documents. International Journal of Computer Applications, 159(4), 5–8. doi: 10.5120/ijca2017912899
   Google Scholar
• Rexha, A., Kröll, M., Ziak, H., & Kern, R. (2018). Authorship identification of documents with high content similarity. Scientometrics, 115, 223–237. doi: 10.1007/s11192-018-2661-6
   PubMed Web of Science ®Google Scholar
• Sarwar, R., & Nutanong, S. (2016). The key factors and their influence in authorship attribution. Research in Computing Science, 110, 139–150. doi: 10.13053/rcs-110-1-12
   Google Scholar
• Shirzadi, M., Akhgar, F., Rooholamin, A., & Shafiee, S. (2017). A corpus-based contrastive analysis of stance strategies in native and nonnative speakers’ English academic writings: Introduction and discussion sections in focus. International Journal of Research in English Education, 2(4), 31–40. doi: 10.29252/ijree.2.4.31
   Google Scholar
• Shrestha, P., Mukherjee, A., & Solorio, T. (2016). Large scale authorship attribution of online reviews. In A. Gelbukh (Ed.), Computational linguistics and intelligent text processing (pp. 221–232). Budapest: Springer International Publishing.
   Google Scholar
• Shrestha, P., Sierra, S., Gonzalez, F., Rosso, P., Montes-y-Gomez, M., & Solorio, T. (2017). Convolutional Neural Networks for Authorship Attribution of short Texts. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Vol. 2. (pp. 669–674). Valencia, Spain: Association of Computational Linguistics.
   Google Scholar
• Skoglund, S. (2015). Authorship identification of research papers (Master’s thesis). Norwegian University of Science and Technology.
   Google Scholar
• Stolerman, A. (2015). Authorship verification (Doctoral dissertation). Drexel University.
   Google Scholar
• Tanguy, L., Urieli, A., Calderone, B., Hathout, N., & Sajous, F. (2011). A multitude of linguistically-rich features for authorship attribution. CEUR workshop proceedings, 1177.
   Google Scholar
• Vel, O. D., Anderson, A., Corney, M., & Mohay, G. (2001). Mining e-mail content for author identification forensics. SIGMOD Record, 30, 55–64. doi: 10.1145/604264.604272
   Web of Science ®Google Scholar
• Wanner, L., & Soler, J. (2017). On the relevance of syntactic and discourse features for author profiling and identification. EACL, 2, 681–687.
   Google Scholar
• Zu, Q., Hu, B., & Elçi, A. (2013). Pervasive computing and the networked world. Proceedings of the international conference on pervasive computing and web society, ICPCA/SWS (pp. 165–179). Vina de Mar, Chile: Springer.
   Google Scholar