Early detection of deception and aggressiveness using profile-based representations
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Accounting for the frequency of a word in online chat logs can help detect grooming conversations.
“Accounting for the frequency of a word in online chat logs can therefore help detect grooming conversations [51,52,65].”
From Online grooming detection: A comprehensive survey of child exploitation in chat logs (2023) · cites this paper as [65]
Cites
The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods
Tausczik, Y. R., & Pennebaker, J. W. (2010) · Journal of Language and Social Psychology · doi:10.1177/0261927x09351676 · Cited by 5,774 · see citing works
Black, P. J., Wollis, M., Woodworth, M., & Hancock, J. T. (2015) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2014.12.004 · Cited by 153 · see citing works
Detecting child grooming behaviour patterns on social media
Cano, A. E., Fernandez, M., & Alani, H. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-13734-6_30 · Cited by 79 · see citing works
Detecting predatory behavior in game chats
Cheong, Y.-G., Jensen, A. K., Gudnadottir, E. R., Bae, B.-C., & Togelius, J. (2015) · IEEE Transactions on Computational Intelligence and AI in Games · doi:10.1109/tciaig.2015.2424932 · Cited by 30 · see citing works
Detecting sexual predators in chats using behavioral features and imbalanced learning
CARDEI, C., & REBEDEA, T. (2017) · Natural Language Engineering · doi:10.1017/s1351324916000395 · Cited by 21 · see citing works
A Step Towards Detecting Online Grooming -- Identifying Adults Pretending to be Children
Ashcroft, M., Kaati, L., & Meyer, M. (2015) · 2015 European Intelligence and Security Informatics Conference · doi:10.1109/eisic.2015.41 · Cited by 18 · see citing works
Combining psycho-linguistic, content-based and chat-based features to detect predation in chatrooms
Barreiro, A., Losada, D. E., & Parapar, J. (2014) · Verlag der Technischen Universität Graz · doi:10.3217/jucs-020-02-0213 · Cited by 16 · see citing works
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Loyola-Gonzalez, O. (2019) · IEEE Access · doi:10.1109/access.2019.2949286 · Cited by 559 · see citing works
Online grooming detection: A comprehensive survey of child exploitation in chat logs
Borj, P. R., Raja, K., & Bours, P. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2022.110039 · Cited by 38 · see citing works
Milon-Flores, D. F., & Cordeiro, R. L. F. (2022) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.108017 · Cited by 29 · see citing works
- Authors
- Escalante, H. J., Villatoro-Tello, E., Garza, S. E., López-Monroy, A. P., Montes-y-Gómez, M., & Villaseñor-Pineda, L.
- Affiliations
- National Institute of Astrophysics, Optics and Electronics (MX)
- Universidad Autónoma Metropolitana (MX)
- Universidad Autónoma de Nuevo León (MX)
- University of Houston (US)
- Corresponding author
- Escalante, Hugo Jair
- ORCID
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 89
- Pages
- 99-111
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2737214009
- Cited by
- 44
- References
- 7
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 2 · 2022: 5 · 2021: 6 · 2020: 4 · 2019: 12 · 2018: 10
- FWCI
- 4.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Systems with Applications (publishedVersion)
- Funders
- CONACYT (CB-2014-241306, PDCPN2014-01-247870, CB-2015-1-258588)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Keywords
- early threat detection, deception detection, social media text
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.
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