Publication2024
Identification of Social Bots in Online Social Networks Using Filter-Based Feature Selection Approach
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- Lecture Notes in Networks and Systems
- Volume
- 1
- Pages
- 171-181
- Published
- 1 January 2024
- DOI
- 10.1007/978-981-99-5015-7_15
- Scopus ID
- 85200342834
- ISSN
- 23673370
- Authors
- 4
- 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
Machine learning framework with information gain feature selection identifies social bot profiles in online networks, protecting information integrity and preventing misinformation spread.
- 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
10 Reduce inequality within and among countries
Bot detection protects vulnerable social media users from manipulation and automated abuse.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.1 Transparency, accountability and the rule of law
Social bot detection supports information integrity and transparency in digital systems.
- 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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Provenance
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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. “Identification of Social Bots in Online Social Networks Using Filter-Based Feature Selection Approach”. Kortex.