LLM chat systems show large differences in reference quantity and quality, but users rarely click or engage with them.
Shyam Sundar
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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years
2026 3verdicts
UNVERDICTED 3roles
background 2representative citing papers
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
A six-month qualitative study of a mixed-ability nonprofit finds that conflicting access needs in communication act as a generative process revealing power structures and enabling accountability and repair rather than serving as technical problems to eliminate.
citing papers explorer
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Analyzing the Presentation, Content, and Utilization of References in LLM-powered Conversational AI Systems
LLM chat systems show large differences in reference quantity and quality, but users rarely click or engage with them.
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The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
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Designing for Collective Access: In Search of a Solution to Accessible Communication in a Mixed-Ability Non-Profit
A six-month qualitative study of a mixed-ability nonprofit finds that conflicting access needs in communication act as a generative process revealing power structures and enabling accountability and repair rather than serving as technical problems to eliminate.