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AI audits kidfluencer videos, finds exploitation boosts engagement

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a multimodal AI system to audit engagement incentives within the kidfluencer ecosystem. The AI analyzes over 5,000 videos from 79 channels, using weak supervision and LLMs to detect signals of exploitation. Findings indicate that performative labor and emotional bait significantly increase video views, suggesting that platforms reward the commodification of children's identities and labor over traditional advertising. AI

IMPACT Highlights how AI can be used to uncover and quantify exploitation, potentially influencing platform policies and regulatory approaches.

RANK_REASON Academic paper detailing a novel AI methodology for auditing a social phenomenon. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI audits kidfluencer videos, finds exploitation boosts engagement

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Academic paper detailing a novel AI methodology for auditing a social phenomenon. [lever_c_demoted from research: ic=1 ai=1.0]
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115 days old
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Zijing Wei, Chao Peter Yang, Xuanjie Chen ·

    Auditing Engagement Incentives in the Kidfluencer Ecosystem: A Multimodal Weak Supervision Approach

    arXiv:2606.03173v1 Announce Type: cross Abstract: The rise of `kidfluencers' on YouTube has raised ethical concerns about child digital labor and exploitation. While emerging legislation attempts to regulate this ecosystem, empirical evidence linking exploitation to engagement re…

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