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ENTITY Prolific

Prolific

PulseAugur coverage of Prolific — every cluster mentioning Prolific across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_245069 ·

    Study: Short-form video AI disproportionately harms users with ADHD

    A new study published on arXiv explores the detrimental effects of short-form video recommender systems on individuals with ADHD. The research, which involved 302 participants recruited via Prolific, introduces the conc…

  2. TOOL · CL_233460 ·

    Study: Moderator demographics create unequal online protection from toxicity

    A new study analyzing content moderation judgments from over 16,000 U.S. respondents reveals significant demographic disparities in how users are protected from perceived toxicity online. The research found that moderat…

  3. COMMENTARY · CL_134638 ·

    AI Data Quality: Why Better Data, Not More, is the Key

    Liam Lawson and Arturo Ferreira discuss the critical issue of data quality in AI training on "The AI Why" podcast. They feature Enzo Blindow, VP of Data & AI at Prolific, who explains that better data, not just more dat…

  4. TOOL · CL_96201 ·

    LLM annotation rivals human labels for hostility detection at lower cost

    A new arXiv paper investigates the efficacy of Large Language Models (LLMs) in annotating data for active learning, specifically for hostility detection in online comments. The study found that LLMs, particularly GPT-5.…

  5. TOOL · CL_51329 ·

    Robotics dataset reveals user questions for explainable AI

    Researchers have developed a new dataset of 1,893 user questions specifically designed for explainable robotics. This dataset, collected from 100 participants, categorizes questions into 12 types, focusing on user expec…

  6. TOOL · CL_20644 ·

    Crowdsourcing struggles to reliably detect audiovisual deepfakes

    A new research paper explores the effectiveness of crowdsourcing for detecting audiovisual deepfakes. The study found that while crowd workers are generally good at identifying authentic videos, they frequently miss man…