The DOI matches its Crossref record; 12 of the 14 references it cites were found in a registry or an index.
Automatically profiling the author of an anonymous text
Abstract
research-article Automatically profiling the author of an anonymous text Authors: Shlomo Argamon Illinois Institute of Technology Illinois Institute of TechnologyView Profile , Moshe Koppel Bar-Lian University Bar-Lian UniversityView Profile , James W. Pennebaker University of Texas, Austin University of Texas, AustinView Profile , Jonathan Schler Peer 39 Peer 39View Profile Authors Info & Claims Communications of the ACMVolume 52Issue 201 February 2009pp 119–123https://doi.org/10.1145/1461928.1461959Published:01 February 2009Publication History 202citation2,873DownloadsMetricsTotal Citations202Total Downloads2,873Last 12 Months232Last 6 weeks34 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A combination of content-based and style-based features provides a good clue for gender and age detection [75].”
From Online grooming detection: A comprehensive survey of child exploitation in chat logs (2023) · cites this paper as [75]
In the citing paper
“positing that each author's unique style can be captured through quantifiable characteristics [Argamon et al., 2009].”
From Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges (2025) · cites this paper as Argamon et al., 2009
Citations
Cites
Matthiessen, C. M. I. M. (1989) · Language · doi:10.2307/414947 · Cited by 9,897
Machine learning in automated text categorization
Sebastiani, F. (2002) · ACM Computing Surveys · doi:10.1145/505282.505283 · Cited by 7,927
Psychological Aspects of Natural Language Use: Our Words, Our Selves
Pennebaker, J. W., Mehl, M. R., & Niederhoffer, K. G. (2003) · Annual Review of Psychology · doi:10.1146/annurev.psych.54.101601.145041 · Cited by 2,624
Self-citationLarge-Scale Bayesian Logistic Regression for Text Categorization
Genkin, A., Lewis, D. D., & Madigan, D. (2007) · Technometrics · doi:10.1198/004017007000000245 · Cited by 812
Effects of Age and Gender on Blogging
Schler, J., Koppel, M., Argamon, S., & Pennebaker, J. W. (2005) · National Conference on Artificial Intelligence · Cited by 590
Self-citationGender, genre, and writing style in formal written texts
ARGAMON, S., KOPPEL, M., FINE, J., & SHIMONI, A. R. (2003) · Text - Interdisciplinary Journal for the Study of Discourse · doi:10.1515/text.2003.014 · Cited by 560
Self-citationJuola, P. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000005 · Cited by 530
The Handbook of Language Variation and Change
(2003) · Blackwell Publishing Ltd eBooks · doi:10.1111/b.9781405116923.2003.00017.x · Cited by 405
Determining an author's native language by mining a text for errors
Koppel, M., Schler, J., & Zigdon, K. (2005) · Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining · doi:10.1145/1081870.1081947 · Cited by 167
Self-citationFrom fingerprint to writeprint
Li, J., Zheng, R., & Chen, H. (2006) · Communications of the ACM · doi:10.1145/1121949.1121951 · Cited by 154
Research works printed but not linked: 3
- 10.1162/jmlr.2003.3.4-5.951 · DOI
- Halliday , M. A. K. , and Matthiessen , C . An Introduction To Functional Grammar ( 3 rd ed.) Arnold , London . 2004 . Halliday, M. A. K., and Matthiessen, C. An Introduction To Functional Grammar (3rd ed.) Arnold, London. 2004.
- Vazire , S. The person from the inside and the outside. Unpublished doctoral dissertation . The University of Texas , Austin , 2006 . Vazire, S. The person from the inside and the outside. Unpublished doctoral dissertation. The University of Texas, Austin, 2006.
Cited by
Sorted by citations
Items 101–200 of 371
Multilingual SMS-based author profiling: Data and methods
Fatima, M., Anwar, S., Naveed, A., ARSHAD, W., Nawab, R. M. A., Iqbal, M., & MASOOD, A. (2018) · Natural Language Engineering · doi:10.1017/s1351324918000244 · Cited by 17
Evaluating Topic-Based Representations for Author Profiling in Social Media
Álvarez‐Carmona, M. Á., López-Monroy, A. P., Montes-y-Gómez, M., Villaseñor-Pineda, L., & Meza, I. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-47955-2_13 · Cited by 17
Kaur, R., Singh, S., & Kumar, H. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106770 · Cited by 17
Pitfalls in Machine Learning Research: Reexamining the Development CyclePreprint
Biderman, S., & Scheirer, W. J. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.02832 · Cited by 19
Expressive markers in online teenage talk
Hilte, L., Vandekerckhove, R., & Daelemans, W. M. P. (2019) · Nederlandse taalkunde · doi:10.5117/nedtaa2018.3.003.hilt · Cited by 18
Customer gender prediction based on E-commerce data
Duong, D. T., Tan, H., & Pham, S. T. (2016) · International Conference on Knowledge and Systems Engineering/Proceedings · doi:10.1109/kse.2016.7758035 · Cited by 16
Flek, L., & Gurevych, I. (2013) · TUbilio (Technical University of Darmstadt) · Cited by 15
Text-Based Age and Gender Prediction for Online Safety Monitoring
van de Loo, J., & The Society of Digital Information and Wireless Communication (2016) · International Journal of Cyber-Security and Digital Forensics · doi:10.17781/p002012 · Cited by 15
A visual approach for age and gender identification on Twitter
Álvarez‐Carmona, M. Á., Pellegrin, L., Montes-y-Gómez, M., Sánchez-Vega, F., Escalante, H. J., López-Monroy, A. P., Villaseñor-Pineda, L., & Villatoro-Tello, E. (2018) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-169497 · Cited by 15
Khomytska, I., Teslyuk, V., Kryvinska, N., & Bazylevych, I. (2020) · Electronics · doi:10.3390/electronics9071138 · Cited by 15
Sarwar, R., Ha, L. A., Teh, P. S., Sabah, F., Nawaz, R., Hameed, I. A., & Hassan, M. U. (2024) · IEEE Access · doi:10.1109/access.2024.3358199 · Cited by 14
Gender Prediction for Chinese Social Media Data
Li, W., & Dickinson, M. (2017) · International conference Recent advances in natural language processing · doi:10.26615/978-954-452-049-6_058 · Cited by 14
Kang, D., Gangal, V., & Hovy, E. H. (2019) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d19-1179 · Cited by 15
Zhitomirsky‐Geffet, M., David, E., Koppel, M., & Uzan, H. (2016) · Online Information Review · doi:10.1108/oir-06-2015-0211 · Cited by 14
Self-citationOn the role of syntactic dependencies and discourse relations for author and gender identification
Wanner, L. (2017) · Pattern Recognition Letters · doi:10.1016/j.patrec.2017.12.006 · Cited by 14
Profile specific Document Weighted approach using a New Term Weighting Measure for Author Profiling
Reddy, T. R., Vardhan, B., & Reddy, P. (2016) · International journal of intelligent engineering and systems · doi:10.22266/ijies2016.1231.15 · Cited by 13
Detecting machine-morphed malware variants via engine attribution
Chouchane, R., Stakhanova, N., Walenstein, A., & Lakhotia, A. (2013) · Journal of Computer Virology and Hacking Techniques · doi:10.1007/s11416-013-0183-6 · Cited by 13
I, Me, Mine: The Role of Personal Phrases in Author Profiling
Ortega-Mendoza, R. M., Franco-Árcega, A., López-Monroy, A. P., & Montes-y-Gómez, M. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-44564-9_9 · Cited by 13
Profiling a Set of Personality Traits of a Text’s Author: A Corpus-Based Approach
Litvinova, T., Zagorovskaya, O. V., Litvinova, O., & Seredin, P. V. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-43958-7_67 · Cited by 13
Twenty Years of Personality Computing: Threats, Challenges and Future Directions
Celli, F., Kartelj, A., Dordevič, M., Suhartono, D., Filipović, V., Milutinović, V. M., Spathoulas, G. P., Vinciarelli, A., Kosiński, M., & Lepri, B. (2026) · ACM Computing Surveys · doi:10.1145/3806009 · Cited by 16
Cross-Genre Author Profile Prediction Using Stylometry-Based Approach.
Ashraf, S., Iqbal, H. R., & Nawab, R. M. A. (2016) · CLEF (Working Notes) · Cited by 12
Sboev, A. G., Litvinova, T., Voronina, I., Владимирович, Г. Д., & Борисович, Р. Р. (2016) · International Conference on Computational Science and Computational Intelligence (CSCI) · doi:10.1109/csci.2016.0210 · Cited by 12
Kernot, D., Bossomaier, T. R. J., & Bradbury, R. (2017) · Journal of Quantitative Linguistics · doi:10.1080/09296174.2017.1304049 · Cited by 12
Who could be behind QAnon? Authorship attribution with supervised machine-learning
Cafiero, F., & Camps, J.-B. (2023) · Digital Scholarship in the Humanities · doi:10.1093/llc/fqad061 · Cited by 12
Gender Prediction from Social Media Comments with Artificial Intelligence
Çelik, Ö., & Aslan, A. F. (2019) · Sakarya University Journal of Science · doi:10.16984/saufenbilder.559452 · Cited by 13
Authorship Studies and the Dark Side of Social Media Analytics
Juola, P. (2020) · JUCS - Journal of Universal Computer Science · doi:10.3897/jucs.2020.009 · Cited by 13
Identifying Gender from SMS Text Messages
Shannon, S., Varol, C., & Karabatak, M. (2016) · International Conference on Machine Learning and Applications · doi:10.1109/icmla.2016.0086 · Cited by 12
Multilingual Cross-domain Perspectives on Online Hate SpeechPreprint
Smedt, T. D., Jaki, S., Kotzé, E., Saoud, L., Gwóźdź, M., Pauw, G. D., & Daelemans, W. M. P. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1809.03944 · Cited by 12
Ferguson, S. A., & Olechowski, A. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3610173 · Cited by 11
Automatic Author Profiling Based on Linguistic and Stylistic Features Notebook for PAN at CLEF 2013
Patra, B. G., Banerjee, S., Das, D., Saikh, T., & Bandyopadhyay, S. (2013) · Cited by 11
Using Intra-Profile Information for Author Profiling Notebook for PAN at CLEF 2014
López-Monroy, A. P., Montes-y-Gómez, M., Escalante, H. J., Villaseñor-Pineda, L., & Enrique, L. (2014) · Cited by 11
An attention based multi-modal gender identification system for social media users
Suman, C., Chaudhary, R. S., Saha, S., & Bhattacharyya, P. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11256-6 · Cited by 11
Language-independent gender identification through keystroke analysis
Tsimperidis, I., Katos, V., & Clarke, N. (2015) · Information and Computer Security · doi:10.1108/ics-05-2014-0032 · Cited by 11
"Our Little Secret": pinpointing potential predators
Vartapetiance, A., & Gillam, L. (2014) · Security Informatics · doi:10.1186/s13388-014-0003-7 · Cited by 11
Evaluating text visualization for authorship analysis
Benjamin, V., Wingyan Chung, A., Abbasi, A., Chuang, J., Larson, C. A., & Chen, H. (2014) · Security Informatics · doi:10.1186/s13388-014-0010-8 · Cited by 11
Profiling a set of personality traits of text author: what our words reveal about us
Litvinova, T., Seredin, P. V., Litvinova, O., & Zagorovskaya, O. V. (2016) · Research in Language · doi:10.1515/rela-2016-0019 · Cited by 11
Age Identification of Twitter Users: Classification Methods and Sociolinguistic Analysis
Simaki, V., Mporas, I., & Megalooikonomou, V. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-75487-1_30 · Cited by 11
Haas, H. S. (2010) · VS Verlag für Sozialwissenschaften eBooks · doi:10.1007/978-3-531-92180-8_14 · Cited by 11
Using psycholinguistic features for profiling first language of authors
Torney, R., Vamplew, P. W., & Yearwood, J. L. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22627 · Cited by 12
De‐Arteaga, M., Jiménez, S., Dueñas, G., Mancera, S., & Baquero, J. (2013) · Cited by 11
Language Use: What can it tell us?
Freedman, M., Baron, A., Punyakanok, V., & Weischedel, R. (2011) · Cited by 10
Author Profiling Using Style-based Features Notebook for PAN at CLEF 2013.
Mechti, S., Jaoua, M., & Belguith, L. H. (2013) · Cited by 10
Hilte, L., Daelemans, W. M. P., & Vandekerckhove, R. (2021) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2021.738278 · Cited by 12
The generalizability of machine learning models of personality across two text domains
Berggren, M., Kaati, L., Pelzer, B., Stiff, H., Lundmark, L., & Akrami, N. (2023) · Personality and Individual Differences · doi:10.1016/j.paid.2023.112465 · Cited by 10
Cho, S., Kim, D., Kwon, H.-C., & Kim, M. (2024) · Forensic Science International Digital Investigation · doi:10.1016/j.fsidi.2024.301814 · Cited by 13
Authorship Identification Using Dynamic Selection of Features from Probabilistic Feature Set
Zamani, H., Esfahani, H. N., Babaie, P., Abnar, S., Dehghani, M., & Shakery, A. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-11382-1_13 · Cited by 10
An Analytic System for User Gender Identification through User Shared Images
Cheung, M., & She, J. P. M. (2017) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3095077 · Cited by 11
Estimating Intelligence Quotient Using Stylometry and Machine Learning Techniques: A Review
Adebayo, G. O., & Yampolskiy, R. V. (2022) · Big Data Mining and Analytics · doi:10.26599/bdma.2022.9020002 · Cited by 10
Online Social Networks and Writing Styles–A Review of the Multidisciplinary Literature
Tai, K. Y., Dhaliwal, J., & Shariff, S. M. (2020) · IEEE Access · doi:10.1109/access.2020.2985916 · Cited by 10
Pennebaker, J. W., & Chung, C. K. (2012) · doi:10.21236/ada564471 · Cited by 10
Self-citationExploring Information Retrieval features for Author Profiling Notebook for PAN at CLEF 2014
Weren, E. R. D., Moreira, V. P., & de Oliveira, J. P. M. (2014) · Cited by 9
Authorship Attribution by Differentiation of Phonostatistical Structures of Styles
Khomytska, I., & Teslyuk, V. (2018) · IEEE International Conference on Computer Sciences and Information Technologies (CSIT) · doi:10.1109/stc-csit.2018.8526739 · Cited by 9
Dandannavar, P., Mangalwede, S. R., & Kulkarni, P. M. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-3383-9_37 · Cited by 9
A Practical Guide to WhatsApp Data in Social Science Research
Kohne, J., Elhai, J. D., & Montag, C. (2022) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-030-98546-2_11 · Cited by 9
A comparative assessment of the difficulty of authorship attribution in Greek and in English
Juola, P., Mikros, G. K., & Vinsick, S. (2018) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24073 · Cited by 10
Age and Gender Identification by SMS Text Messages
Ahmad Jamal, K. H. D. R., & Varol, C. (2018) · International Artificial Intelligence and Data Processing Symposium (IDAP) · doi:10.1109/idap.2018.8620780 · Cited by 9
Author Profile in Social Media: Identifying Information about Gender, Age, Emotions and beyond
Rangel, F. (2013) · Electronic workshops in computing · doi:10.14236/ewic/fdia2013.15 · Cited by 9
Machine learning to detect online grooming
Meyer, M. (2015) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 9
Automatic Era Identification in Classical Arabic Poetry
Sleiman, N. M., Hussein, A. A., Kuflik, T., & Minkov, E. (2024) · Applied Sciences · doi:10.3390/app14188240 · Cited by 9
Exploring the Intersection of AI, Language, and Law: A Bibliometric Analysis
Lan, Z., & Zhang, X. (2026) · SAGE Open · doi:10.1177/21582440261431000 · Cited by 8
Identification of Author Personality Traits using Stylistic Features Notebook for PAN at CLEF 2015
Pervaz, I., Ameer, I., Sittar, A., & Nawab, R. M. A. (2015) · CLEF (Working Notes) · Cited by 8
Generating Authorship Embeddings with Transformers
Huertas‐Tato, J., Martin, A., Huertas-García, Á., & Camacho, D. (2022) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn55064.2022.9892173 · Cited by 8
Same or Different? Diff-Vectors for Authorship Analysis
Corbara, S., Moreo, A., & Sebastiani, F. (2023) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/3609226 · Cited by 8
Aggregating Personal Health Messages for Scalable Comparative Effectiveness Research
Cho, J. H. D., Liao, V., Jiang, Y., & Schatz, B. R. (2013) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/2506583.2512363 · Cited by 8
Towards Active Linguistic Authentication
Juola, P., Noecker, J., Stolerman, A., Ryan, M., Brennan, P., & Greenstadt, R. (2013) · IFIP advances in information and communication technology · doi:10.1007/978-3-642-41148-9_25 · Cited by 8
Evaluating text visualization: An experiment in authorship analysis
Benjamin, V., Wingyan Chung, A., Abbasi, A., Chuang, J., Larson, C. A., & Chen, H. (2013) · IEEE International Conference on Intelligence and Security Informatics (ISI) · doi:10.1109/isi.2013.6578778 · Cited by 8
Can Anonymous Posters on Medical Forums be Reidentified?
Bobicev, V., Sokolova, M., Emam, K. E., Jafer, Y., Dewar, B., Jonker, E., & Matwin, S. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2514 · Cited by 8
A Semi-supervised approach for gender identification
Wanner, L. (2016) · Language Resources and Evaluation · Cited by 8
Hilte, L., Vandekerckhove, R., & Daelemans, W. M. P. (2018) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 8
Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian
Bassignana, E., Nissim, M., & Patti, V. (2020) · Accademia University Press eBooks · doi:10.4000/books.aaccademia.8258 · Cited by 8
Content-centric age and gender profiling Notebook for PAN at CLEF 2013
Lim, W.-Y., Goh, J. W. P., & Thing, V. L. L. (2013) · Cited by 7
Using Simple Content Features for the Author Profiling Task Notebook for PAN at CLEF 2013
Weren, E. R. D., Moreira, V. P., & de Oliveira, J. P. M. (2013) · Cited by 7
A Novel Approach for Authorship Verification
Reddy, P. B., Mohan, T. M., Raja, P. V. K., & Reddy, T. R. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-1097-7_37 · Cited by 7
Two-layered Blogger identification model integrating profile and instance-based methods
Mohtasseb, H., & Ahmed, A. A. (2011) · Knowledge and Information Systems · doi:10.1007/s10115-011-0398-0 · Cited by 7
Effect of different feature types on age based classification of short texts
Pentel, A. (2015) · International Conference on Information, Intelligence, Systems & Applications (IISA) · doi:10.1109/iisa.2015.7388069 · Cited by 7
Statistical Learning Methods for Profiling Analysis: Notebook for PAN at CLEF 2015.
Werlen, L. M. (2015) · CLEF (Working Notes) · Cited by 7
Compilación de un lexicón de redes sociales para la identificación de perfiles de autor
Gómez-Adorno, H., Markov, I., Sidorov, G., Posadas-Durán, J.-P., & Fócil-Arias, C. (2016) · Research in Computing Science · doi:10.13053/rcs-115-1-2 · Cited by 7
Authorship Analysis of Online Social Media Content
Kaur, R., Singh, S., & Kumar, H. (2018) · Lecture notes in networks and systems · doi:10.1007/978-981-13-1217-5_52 · Cited by 7
Gender Prediction from Turkish Tweets with Neural Networks
Sezerer, E., Polatbilek, O., & Tekır, S. (2019) · Signal Processing and Communications Applications Conference (SIU) · doi:10.1109/siu.2019.8806315 · Cited by 7
Gender-Specific English Language Use of Malaysian Blog Authors
Ali, S. M., & Krısh, P. (2016) · GEMA Online Journal of Language Studies · doi:10.17576/gema-2016-1603-02 · Cited by 7
Gussem, J. D. (2017) · Speculum · doi:10.1086/694188 · Cited by 7
Using Shakespeare's Sotto Voce to Determine True Identity From Text
Kernot, D., Bossomaier, T. R. J., & Bradbury, R. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00289 · Cited by 7
A machine learning approach for gender identification of Greek tweet authors
Baxevanakis, S., Gavras, S., Mouratidis, D., & Kermanidis, K. L. (2020) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/3389189.3397992 · Cited by 7
A New Term Weight Measure for Gender Prediction in Author Profiling
Swathi, C., Kavuri, K., Archana, G., & Reddy, T. R. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-10-7566-7_2 · Cited by 7
Enhanced Online Grooming detection employing Context Determination and Message-Level Analysis
Street, J., Ihianle, I. K., Olajide, F., & Lotfi, A. (2025) · Intelligent Systems with Applications · doi:10.1016/j.iswa.2025.200607 · Cited by 6
A Spanish text corpus for the author profiling task
Villegas, M. P., Ucelay, M. J. G., Errecalde, M. L., & Cagnina, L. (2014) · El Servicio de Difusión de la Creación Intelectual (National University of La Plata) · Cited by 6
Mao-Clark, X., Koh, Y., Defranco, A. L., & Nakajima, R. (2024) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2024.103783 · Cited by 6
Sandy, C. J. (2013) · Texas ScholarWorks (Texas Digital Library) · Cited by 6
Automatic gender detection of dream reports: A promising approach
Wong, C., Amini, R., & Koninck, J. D. (2016) · Consciousness and Cognition · doi:10.1016/j.concog.2016.06.004 · Cited by 6
Dwivedi, V. P., Singh, D. K., Jha, S., & Ranvijay (2017) · International Conference on Advanced Computing · doi:10.1109/icoac.2017.8441506 · Cited by 6
Aljohani, T., & Cristea, A. I. (2021) · Frontiers in Research Metrics and Analytics · doi:10.3389/frma.2021.673928 · Cited by 6
Question Classification by Convolutional Neural Networks Embodying Subword Information
Pota, M., & Esposito, M. (2018) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2018.8489406 · Cited by 6
Author Profiles Prediction Using Syntactic and Content-Based Features
Reddy, T. R., Srilatha, M., Sreenivas, M., & Rajasekhar, N. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-1097-7_23 · Cited by 5
Statistical Models for Authorship Attribution
Khomytska, I., & Teslyuk, V. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-33695-0_39 · Cited by 5
The Nonparametric Method for Differentiation of Phonostatistical Structures of Authorial Style
Khomytska, I., Teslyuk, V., Kryvinska, N., & Beregovskyi, V. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.09.441 · Cited by 5
A method for detecting the profile of an author
Silva, J., García, S., Binda, M. A., Gonzalez, F. M., Barrios, R., Castro, B. L.-L., & Castro, L. (2020) · Procedia Computer Science · doi:10.1016/j.procs.2020.03.101 · Cited by 5
Erinevused, kaugused ja sõrmejäljed. Stilomeetria ja mitmemõõtmelise tekstianalüüsi alused
Šeļa, A. (2021) · Keel ja Kirjandus · doi:10.54013/kk764a3 · Cited by 5
An Emotion-aided Gender Prediction System
Suman, C., Chaudhari, R., Saha, S., Kumar, S., & Bhattacharyya, P. (2021) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn52387.2021.9534257 · Cited by 5
Multiple Language Gender Identification for Blog Posts.
Wanner, L. (2015) · Cognitive Science · Cited by 5
Using Content-Based Features for Author Profiling of Vietnamese Forum Posts
Duong, D. T., Pham, S. B., & Tan, H. (2016) · Studies in computational intelligence · doi:10.1007/978-3-319-31277-4_25 · Cited by 5
Metadata
- Authors
- Argamon, S., Koppel, M., Pennebaker, J. W., & Schler, J.
- Affiliations
- Illinois Institute of Technology (US)
- Bar-Ilan University (IL)
- The University of Texas at Austin (US)
- Peer 39
- Venue
- Communications of the ACM
- Published
- 2009-02
- Volume
- 52
- Issue
- 2
- Pages
- 119-123
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W1984010941
- Cited by
- 376
- References
- 14
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 9 · 2023: 7 · 2022: 15 · 2021: 20 · 2020: 53 · 2019: 33 · 2018: 36 · 2017: 32 · 2016: 41 · 2015: 30 · 2014: 25 · 2013: 29 · 2012: 20
- FWCI
- 13.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Communications of the ACM (publishedVersion)
- Touro Scholar (Touro College) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Keywords
- author profiling, anonymous texts, authorship attribution
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review