Modern technologies like search engines and social media reshape the information environment in response to user behavior [cinelli_echo_2021, leung_narrow_2025]. As algorithms optimize for relevance and engagement, they construct environments that reflect and reinforce users’ existing search strategies. For instance, when seeking information online, people will often use search terms that narrowly reflect their hypothesis [leung_narrow_2025, e.g., “caffeine health risks (benefits)” instead of “caffeine health effects”;]. Search engines retrieve results that match these queries, effectively validating the user’s biased hypothesis with a skewed sample of resources. As a result, users’ existing beliefs are reinforced. Critically, people do not recognize their queries as biased or spontaneously correct for this.
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Explicit, public API
(二)开设科技相关通识课程。高校应发挥科教资源优势,开设科技相关通识课程,加强科学教育和人文教育融合,满足不同专业、不同学习阶段学生需求,促进大学生科学文化素质提升。鼓励高校间开展优质科技通识课程共建共享,推动跨校选课与学分互认,促进课程资源的互联互通。