Cited by 307Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion MiningBullying, Victimization, and Aggression

Automatic cyberbullying detection: A systematic review

Rosa, H., Pereira, N., Ribeiro, R., Ferreira, P.C., Carvalho, J.P., Oliveira, S., Coheur, L., Paulino, P. +2 more·2019·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2018.12.021

Cites

64 of 64 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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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?

  • A few survey papers address the open issues and challenges.

    “These studies do not show publicly available datasets for cyberbullying detection, and a few survey papers address the open issues and challenges [26,27].”

    From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [27]

Cites

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6 of the 70 references couldn’t be matched to a known paper.

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Authors
Rosa, H., Pereira, N., Ribeiro, R., Ferreira, P. C., Carvalho, J. P., Oliveira, S., Coheur, L., Paulino, P., Veiga Simão, A. M., & Trancoso, I.
Affiliations
  • Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT)
  • University of Lisbon (PT)
  • Iscte – Instituto Universitário de Lisboa (PT)
Corresponding author
Pereira, N.
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2019-04
Volume
93
Pages
333-345
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2904937466
Cited by
307
References
70
Citations by year
2026: 29 · 2025: 31 · 2024: 47 · 2023: 57 · 2022: 48 · 2021: 55 · 2020: 27 · 2019: 13
FWCI
2.76
Type
journal article
Language
en
Open access
closed
Locations
  • Computers in Human Behavior (publishedVersion)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion)
Funders
  • Foundation for Science and Technology (PTDC/MHC/PED/3297/2014, SFRH/BPD/110695/2015)
  • Psychological Science of the Faculty of Psychology of the University of Lisbon (UID/PSI/4527/2016)
  • Institute of System and Computer Engineering, Research and Development of Lisbon (UID/CEC/50021/2013, SFRH/BSAB/136312/2018)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
  • Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
  • Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
Keywords
cyberbullying detection, automated detection, social networks, adolescents, class imbalance, evaluation methodology

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