Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

jigsaw-toxic-comment-classification-challenge: papers linking to it

Kaggle · www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to jigsaw-toxic-comment-classification-challenge (https://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

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Key findings#

  • 6 papers in the tracked journals link to the Kaggle dataset jigsaw-toxic-comment-classification-challenge in their Crossref records, the first in 2021; most of them (2) in 2024.
  • By category: AI (4) and Information Systems (2); the journals with the most are Knowledge-Based Systems (2), Information & Management (1) and Applied Intelligence (1).

By year#

2021: 1 paper2023: 1 paper2024: 2 papers2025: 1 paper2026: 1 paper
20212026
Papers linking to jigsaw-toxic-comment-classification-challenge by publication year
YearPapers
20211
20231
20242
20251
20261

Journals#

Journals whose papers link to jigsaw-toxic-comment-classification-challenge most
JournalPapers
Knowledge-Based Systems2
Information & Management1
Applied Intelligence1
Language Resources and Evaluation1
Information Systems Frontiers1
Papers linking to jigsaw-toxic-comment-classification-challenge, most cited first
PublishedTitleJournalAuthorsCitationsLink
2023-10-21Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statementsLanguage Resources and EvaluationNikolay Babakov, Varvara Logacheva, Alexander Panchenko8cites it
2024-09-24Combating Online Malicious Behavior: Integrating Machine Learning and Deep Learning Methods for Harmful News and Toxic CommentsInformation Systems FrontiersSzu‐Yin Lin, Shih-Yi James Chien, Yi-Zhen Chen et al.6cites it
2021-07-08Learning product representations for generating reviews for cold productsKnowledge-Based SystemsFatemeh Pourgholamali, Mohsen Kahani, Zeinab Noorian et al.5cites it
2024-04-01MODE: a multimodal open-domain dialogue dataset with explanationApplied IntelligenceHang Yin, Pinren Lu, Ziang Li et al.3cites it
2025-04-24Stylometric characteristics of code-switched offensive language in social mediaInformation & ManagementLina Zhou, Zhe Fu3cites it
2026-03-07PPO-CIS : A deep reinforcement learning framework for real-time toxicity detection in social mediaKnowledge-Based SystemsArezo Bodaghi, Benjamin C. M. Fung, Ketra Schmitt1cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). jigsaw-toxic-comment-classification-challenge: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-competition-jigsaw-toxic-comment-classification-challenge

@misc{scholar4ai-code-kaggle-competition-jigsaw-toxic-comment-classification-challenge,
  author = {{Scholar4AI}},
  title = {jigsaw-toxic-comment-classification-challenge: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-competition-jigsaw-toxic-comment-classification-challenge}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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