Publication2026
Cyberbullying Detection on Social Media using Transformer-Based Language Models (BERT and RoBERTa)
- Industry, Innovation and Infrastructure
- Peace, Justice and Strong Institutions
- Good Governance and Security
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Proceedings International Conference on Computational Intelligence and Networks
- Published
- 1 January 2026
- DOI
- 10.1109/cine68769.2026.11502621
- Scopus ID
- 105041091911
- ISSN
- 23755822
- 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
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
Transformer-based language models for cyberbullying detection and text classification address online safety and protection from digital harassment and abuse.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Application of state-of-the-art neural language models represents advancement in natural language processing and artificial intelligence research innovation.
- 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.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4 Good Governance and Security
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 16 label. Transformer-based language models for cyberbullying detection and text classification address online safety and protection from digital harassment and abuse.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Cyberbullying Detection on Social Media using Transformer-Based Language Models (BERT and RoBERTa)”. Kortex.