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LLM classifier measures construction worker safety attitudes from social media

Researchers have developed a new framework called CSAF to measure construction worker safety attitudes from social media. This framework, which includes an eight-dimensional structure and an operational codebook, was applied to Reddit posts from the r/Construction community. To scale the analysis, CSAF was operationalized into an LLM classifier that demonstrated high accuracy in reproducing expert human coding and maintained its performance when transferred to a different trade community. AI

IMPACT Provides a scalable method for analyzing worker attitudes, potentially leading to targeted safety interventions.

RANK_REASON The cluster contains an academic paper detailing a new methodology and its validation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Farouq Sammour, Yuxin Zhang, Zhenyu Zhang ·

    Listening to the Workforce: Measuring Construction Worker Safety Attitudes from Social Media Discourse Using LLMs

    arXiv:2606.04450v1 Announce Type: new Abstract: Worker safety attitudes are key determinants of whether protective practices are applied or bypassed on construction sites. Yet measuring them at scale has remained out of reach. Safety attitudes are multidimensional, vary across to…