Computational Clickbait Detection: A PSALSAR-based Systematic Literature Review of Methodological Trajectories and Benchmarks (2016–2025)

Ari Wahyono, Ku Ruhana Ku-Mahamud

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DOI: 10.32890/jict2026.25.4.2
Published: 2026-10-31
Container: Journal of Information and Communication Technology
Publisher: UUM Press, Universiti Utara Malaysia
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.32890/jict2026.25.4.2,
  title = {Computational Clickbait Detection: A PSALSAR-based Systematic Literature Review of Methodological Trajectories and Benchmarks (2016–2025)},
  author = {Ari Wahyono and Ku Ruhana Ku-Mahamud},
  year = {2026},
  journal = {Journal of Information and Communication Technology},
  doi = {10.32890/jict2026.25.4.2},
  url = {https://doi.org/10.32890/jict2026.25.4.2}
}

RIS

TY  - JOUR
TI  - Computational Clickbait Detection: A PSALSAR-based Systematic Literature Review of Methodological Trajectories and Benchmarks (2016–2025)
AU  - Ari Wahyono
AU  - Ku Ruhana Ku-Mahamud
PY  - 2026
JO  - Journal of Information and Communication Technology
DO  - 10.32890/jict2026.25.4.2
UR  - https://doi.org/10.32890/jict2026.25.4.2
ER  -

APA

Wahyono, A., & Ku-Mahamud, K. R. (2026). Computational Clickbait Detection: A PSALSAR-based Systematic Literature Review of Methodological Trajectories and Benchmarks (2016–2025). Journal of Information and Communication Technology. https://doi.org/10.32890/jict2026.25.4.2

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crossref · retrieved 2026-11-05T04:58:11.931Z