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

Publication2026

An Agreement-Based Dual Ensemble Analysis of Spam and Propaganda Detection

The record

Type
Publication
Date
1 January 2026
Level
National
Journal
Proceedings of 3rd International Conference on Machine Learning and Autonomous Systems Icmlas 2026
Pages
1397-1403
Published
1 January 2026
DOI
10.1109/icmlas67792.2026.11483892
Scopus ID
105038717364
Authors
6
Open access
No
Citations
0
International co-authorship
No
Co-author countries
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. 16.10 Ensure public access to information and protect fundamental freedoms

    TargetPrimaryModerate confidenceJudged

    Dual ensemble framework for spam and propaganda detection addresses content moderation and information integrity challenges on social media platforms.

    Moderate confidence
    The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
    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

Viksit Bharat @2047

  1. vb-4.1 Transparency, accountability and the rule of law

    Sub-themePrimaryModerate confidenceJudged

    Automated spam and propaganda detection supports transparency and accountability in digital public discourse.

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

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KIIT Deemed to be University. “An Agreement-Based Dual Ensemble Analysis of Spam and Propaganda Detection”. Kortex.

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An Agreement-Based Dual Ensemble Analysis of Spam and Propaganda Detection · Kortex