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Content moderators in the Trust and Safety field work in high-stress environments, moderating user-generated content during their shifts. Their role involves continuous exposure to potentially distressing material, making it essential to adopt innovative approaches to support their well-being and productivity. While existing research underscores the benefits of microbreaks in routine tasks, their role in mitigating stress and improving performance in the unique context of content moderation remains underexplored. Despite efforts to encourage breaks, our survey with more than 3000 content moderators revealed that 91.68% take only three or fewer breaks per shift, with a mere 38% incorporating short breaks. Hence, there was a need to formally introduce structured breaks into the work shift to harness their benefits and examine their specific impact in the unique context of content moderation. This controlled study with 307 content moderators introduces formal microbreaks as a novel workplace intervention for content moderators, leveraging automated reminders via Microsoft Teams to integrate structured breaks into daily workflows. Participants were divided into three groups with differing microbreak frequencies (every hour, every 1.5 h, and no scheduled breaks). Outcomes were measured through long-term indicators (stress levels, coping mechanisms) and immediate metrics (mood and task efficiency). This presentation will share key findings, including the optimal frequency of microbreaks and their transformative effect on well-being and performance. The study demonstrates how structured, automated microbreaks can serve as a scalable, evidence-based strategy to sustain operational effectiveness and emotional resilience in high-stress environments. Future directions include exploring the potential of AI to refine microbreak schedules for individual needs, further enhancing their impact. Attendees will gain actionable insights into designing learning experiences and organizational strategies that incorporate structured microbreaks, fostering resilience and productivity.

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Pause for Impact! Evaluating the Efficacy of Microbreaks on Wellbeing and Productivity in Content Moderation Through a Controlled Study

  • 会议论文

  • 发表日期：

    2026年

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  • Bindiya Lakshmi Raghunath,
  • Sunil Varma Mudundi,
  • Aparna Samuel Balasundaram

摘要

Content moderators in the Trust and Safety field work in high-stress environments, moderating user-generated content during their shifts. Their role involves continuous exposure to potentially distressing material, making it essential to adopt innovative approaches to support their well-being and productivity. While existing research underscores the benefits of microbreaks in routine tasks, their role in mitigating stress and improving performance in the unique context of content moderation remains underexplored. Despite efforts to encourage breaks, our survey with more than 3000 content moderators revealed that 91.68% take only three or fewer breaks per shift, with a mere 38% incorporating short breaks. Hence, there was a need to formally introduce structured breaks into the work shift to harness their benefits and examine their specific impact in the unique context of content moderation. This controlled study with 307 content moderators introduces formal microbreaks as a novel workplace intervention for content moderators, leveraging automated reminders via Microsoft Teams to integrate structured breaks into daily workflows. Participants were divided into three groups with differing microbreak frequencies (every hour, every 1.5 h, and no scheduled breaks). Outcomes were measured through long-term indicators (stress levels, coping mechanisms) and immediate metrics (mood and task efficiency). This presentation will share key findings, including the optimal frequency of microbreaks and their transformative effect on well-being and performance. The study demonstrates how structured, automated microbreaks can serve as a scalable, evidence-based strategy to sustain operational effectiveness and emotional resilience in high-stress environments. Future directions include exploring the potential of AI to refine microbreak schedules for individual needs, further enhancing their impact. Attendees will gain actionable insights into designing learning experiences and organizational strategies that incorporate structured microbreaks, fostering resilience and productivity.