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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2024

Hate and Offensive Speech Detection Using Machine Learning

The record

Type
Publication
Date
1 January 2024
Level
International — held abroad
Journal
Lecture Notes in Networks and Systems
Volume
1085 LNNS
Pages
369-377
Published
1 January 2024
DOI
10.1007/978-981-97-6726-7_29
Scopus ID
85209172062
ISSN
23673370
Authors
6
Open access
No
Citations
0
International co-authorship
Yes
Co-author countries
CN, GB, IN

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Research into machine learning algorithms (decision tree, KNN, Random Forest) for hate speech detection demonstrates innovation in classification methodology and research capacity.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  2. 16 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels

    GoalSecondaryHigh confidenceJudged

    System directly addresses prevention of harmful online content and community safety through detection mechanisms, supporting justice and institutional frameworks against digital harm.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  3. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryHigh confidenceJudged

    Paper explicitly develops AI-based digital solutions using machine learning for content moderation on digital platforms, advancing digital technology applications.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Hate and Offensive Speech Detection Using Machine Learning”. Kortex.

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