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User control of search algorithms would improve science 用户对搜索算法的控制将改善科学
IF 29.9 1区 心理学
Nature Human Behaviour Pub Date : 2025-07-08 DOI: 10.1038/s41562-025-02276-5
Zackary Okun Dunivin, Paul E. Smaldino
{"title":"User control of search algorithms would improve science","authors":"Zackary Okun Dunivin, Paul E. Smaldino","doi":"10.1038/s41562-025-02276-5","DOIUrl":"https://doi.org/10.1038/s41562-025-02276-5","url":null,"abstract":"<p>When scientists search for articles using platforms such as Google Scholar, Scopus and Web of Science, the results that they see are determined by search algorithms. These algorithms prioritize highly cited papers. On the one hand, this strengthens the association of these papers with corresponding keywords, which helps to surface dominant publications from prevailing disciplines. However, it also narrows exposure to alternative methods, theories or research programmes. Consequently, researchers who explore emerging topics or interdisciplinary problems face diminished chances of discovering relevant but less-cited perspectives.</p><p>These scientific ‘recommender systems’ shape our information environments, and amplify popular items through self-reinforcing feedback loops<sup>1</sup>. Items that initially gain prominence receive disproportionately greater visibility, and gain popularity simply because they are already popular — regardless of their quality or utility<sup>2</sup>. This inadvertently constrains individuals’ potential to engage with a fuller spectrum of ideas.</p>","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"105 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144577930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A unified framework integrating psychology and geography 心理学与地理学的统一框架
IF 29.9 1区 心理学
Nature Human Behaviour Pub Date : 2025-07-03 DOI: 10.1038/s41562-025-02237-y
Friedrich M. Götz, Daniel R. Montello, Michael E. W. Varnum, Davide Luca, Douglas T. Kenrick
{"title":"A unified framework integrating psychology and geography","authors":"Friedrich M. Götz, Daniel R. Montello, Michael E. W. Varnum, Davide Luca, Douglas T. Kenrick","doi":"10.1038/s41562-025-02237-y","DOIUrl":"https://doi.org/10.1038/s41562-025-02237-y","url":null,"abstract":"<p>We do not live in a vacuum. Everything humans do, think and feel is embedded within geography, which itself is interpreted, understood and modified by humans. Although it is thus conceptually obvious that psychology and geography need one another to fulfil their mandates, integrating them has been empirically challenging. To remedy this, we propose the unifying Geographical–Psychological Interactionist Framework. This framework features three axes (that is, geography, psychology, and geography–psychology interactions). Each axis hosts overarching classes (for example, human, physical and spatial geographical variables) and specific instances thereof (for example, climate and distance). As such, our framework provides: (1) a systematic taxonomy of the general interplay between geography and psychology; (2) a precise vocabulary with which to categorize specific interactions; and (3) a straightforward tool to inspire concrete and testable hypotheses. We conclude by positioning our conceptual framework in relation to existing theories and discuss next steps towards an interdisciplinary future at the nexus of psychology and geography.</p>","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"6 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144546927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Charting multidimensional ideological polarization across demographic groups in the USA 绘制美国人口群体中多维意识形态两极分化的图表
IF 29.9 1区 心理学
Nature Human Behaviour Pub Date : 2025-07-02 DOI: 10.1038/s41562-025-02251-0
Jaume Ojer, David Cárcamo, Romualdo Pastor-Satorras, Michele Starnini
{"title":"Charting multidimensional ideological polarization across demographic groups in the USA","authors":"Jaume Ojer, David Cárcamo, Romualdo Pastor-Satorras, Michele Starnini","doi":"10.1038/s41562-025-02251-0","DOIUrl":"https://doi.org/10.1038/s41562-025-02251-0","url":null,"abstract":"<p>Has ideological polarization actually increased in the past decades, or have voters simply sorted themselves into parties matching their ideology more closely? Here we present a methodology to quantify multidimensional ideological polarization by embedding the respondents to a wide variety of political, social and economic topics from the American National Election Studies into a two-dimensional ideological space. By identifying several demographic attributes of the American National Election Studies respondents, we chart how political and socioeconomic groups move through the ideological space in time. We observe that income and especially racial groups align into parties, but their ideological distance has not increased over time. Instead, Democrats and Republicans have become ideologically more distant in the past 30 years: Both parties moved away from the centre, at different rates. Furthermore, Democratic voters have become ideologically more heterogeneous after 2010, indicating that partisan sorting has declined in the past decade.</p>","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"53 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144533026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine learning-assisted optimization of dietary intervention against dementia risk 机器学习辅助优化饮食干预对抗痴呆风险
IF 29.9 1区 心理学
Nature Human Behaviour Pub Date : 2025-07-02 DOI: 10.1038/s41562-025-02255-w
Si-Jia Chen, Hui Chen, Jia You, Shi-Dong Chen, Yan Fu, Wei Zhang, Liyan Huang, Jian-Feng Feng, Xiang Gao, Wei Cheng, Changzheng Yuan, Jin-Tai Yu
{"title":"Machine learning-assisted optimization of dietary intervention against dementia risk","authors":"Si-Jia Chen, Hui Chen, Jia You, Shi-Dong Chen, Yan Fu, Wei Zhang, Liyan Huang, Jian-Feng Feng, Xiang Gao, Wei Cheng, Changzheng Yuan, Jin-Tai Yu","doi":"10.1038/s41562-025-02255-w","DOIUrl":"https://doi.org/10.1038/s41562-025-02255-w","url":null,"abstract":"<p>A healthy diet has been associated with a reduced risk of dementia. Here we devised a Machine learning-assisted Optimizing Dietary intERvention against demeNtia risk (MODERN) diet based on data from 185,012 UK Biobank participants, 1,987 of whom developed all-cause dementia over 10 years. We first identified 25 food groups associated with dementia in a food-wide association analysis. Second, we ranked their importance using machine learning and prioritized eight groups (for example, green leafy vegetables, berries and citrus fruits). Finally, we established and externally validated a MODERN score (0–7), which showed stronger associations with lower risk of dementia-related outcomes (hazard ratio comparing highest versus lowest tertiles: 0.64, 95% CI: 0.43–0.93) than the a priori-defined MIND diet (0.75, 0.61–0.92). Across 63 health-related outcomes, the MODERN diet showed particularly significant associations with mental/behavioural disorders. Multimodal neuroimaging, metabolomics, inflammation and proteomics analyses revealed potential pathways and further support the potential of MODERN diet for dementia prevention.</p>","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"137 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144533024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Knowledge of information cascades through social networks facilitates strategic gossip 通过社交网络的信息级联的知识促进了战略性的八卦
IF 29.9 1区 心理学
Nature Human Behaviour Pub Date : 2025-07-01 DOI: 10.1038/s41562-025-02241-2
Alice Xia, Yi Yang Teoh, Matthew R. Nassar, Apoorva Bhandari, Oriel FeldmanHall
{"title":"Knowledge of information cascades through social networks facilitates strategic gossip","authors":"Alice Xia, Yi Yang Teoh, Matthew R. Nassar, Apoorva Bhandari, Oriel FeldmanHall","doi":"10.1038/s41562-025-02241-2","DOIUrl":"https://doi.org/10.1038/s41562-025-02241-2","url":null,"abstract":"<p>Social networks are composed of many ties among many individuals. These ties enable the spread of information through a network, including gossip, which comprises a sizeable share of daily conversation. Given the number of possible connections between people in even the smallest networks, a formidable challenge is how to strategically gossip—to disseminate information as widely as possible without the target of the gossip finding out. Here we find that people achieve this goal by leveraging knowledge about topological properties, specifically, social distance and popularity, using a gossip-sharing task in artificial social networks (experiments 1–3, <i>N</i> = 568). We find a similar pattern of behaviour in a real-world social network (experiment 4, <i>N</i> = 187), revealing the power of these topological properties in predicting information flow, even in much noisier, complex environments. Computational modelling suggests that these adaptive social behaviours rely on mental representations of information cascades through the social network.</p>","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"18 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144520427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A systemic approach to better coordination in science 一种更好地协调科学的系统方法
IF 29.9 1区 心理学
Nature Human Behaviour Pub Date : 2025-07-01 DOI: 10.1038/s41562-025-02260-z
Sajedeh Rasti, Krist Vaesen, Daniël Lakens
{"title":"A systemic approach to better coordination in science","authors":"Sajedeh Rasti, Krist Vaesen, Daniël Lakens","doi":"10.1038/s41562-025-02260-z","DOIUrl":"https://doi.org/10.1038/s41562-025-02260-z","url":null,"abstract":"Although individualism and isolated work remain common in academia, coordination offers substantial benefits. This Comment calls on researchers, funders, policymakers, journals and universities to create systemic change towards greater coordination in science.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"28 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144520428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparing the value of perceived human versus AI-generated empathy 比较感知到的人类同理心与人工智能产生的同理心的价值
IF 29.9 1区 心理学
Nature Human Behaviour Pub Date : 2025-06-30 DOI: 10.1038/s41562-025-02247-w
Matan Rubin, Joanna Z. Li, Federico Zimmerman, Desmond C. Ong, Amit Goldenberg, Anat Perry
{"title":"Comparing the value of perceived human versus AI-generated empathy","authors":"Matan Rubin, Joanna Z. Li, Federico Zimmerman, Desmond C. Ong, Amit Goldenberg, Anat Perry","doi":"10.1038/s41562-025-02247-w","DOIUrl":"https://doi.org/10.1038/s41562-025-02247-w","url":null,"abstract":"<p>Artificial intelligence (AI) and specifically large language models demonstrate remarkable social–emotional abilities, which may improve human–AI interactions and AI’s emotional support capabilities. However, it remains unclear whether empathy, encompassing understanding, ‘feeling with’ and caring, is perceived differently when attributed to AI versus humans. We conducted nine studies (<i>n</i> = 6,282) where AI-generated empathic responses to participants’ emotional situations were labelled as provided by either humans or AI. Human-attributed responses were rated as more empathic and supportive, and elicited more positive and fewer negative emotions, than AI-attributed ones. Moreover, participants’ own uninstructed belief that AI had aided the human-attributed responses reduced perceived empathy and support. These effects were replicated across varying response lengths, delays, iterations and large language models and were primarily driven by responses emphasizing emotional sharing and care. Additionally, people consistently chose human interaction over AI when seeking emotional engagement. These findings advance our general understanding of empathy, and specifically human–AI empathic interactions.</p>","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"5 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144520426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reading news on social media boosts knowledge, discernment and trust 在社交媒体上阅读新闻可以提高知识、洞察力和信任
IF 29.9 1区 心理学
Nature Human Behaviour Pub Date : 2025-06-27 DOI: 10.1038/s41562-025-02206-5
{"title":"Reading news on social media boosts knowledge, discernment and trust","authors":"","doi":"10.1038/s41562-025-02206-5","DOIUrl":"https://doi.org/10.1038/s41562-025-02206-5","url":null,"abstract":"We estimate the causal effects of following the news on social media by randomly assigning participants to follow either news or non-news accounts on social media. Participants who followed news accounts became more knowledgeable, better able to distinguish true from false news, and more trusting of the news.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"13 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144500402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Following news on social media boosts knowledge, belief accuracy and trust 在社交媒体上关注新闻可以提高知识、信念的准确性和信任度
IF 29.9 1区 心理学
Nature Human Behaviour Pub Date : 2025-06-27 DOI: 10.1038/s41562-025-02205-6
Sacha Altay, Emma Hoes, Magdalena Wojcieszak
{"title":"Following news on social media boosts knowledge, belief accuracy and trust","authors":"Sacha Altay, Emma Hoes, Magdalena Wojcieszak","doi":"10.1038/s41562-025-02205-6","DOIUrl":"https://doi.org/10.1038/s41562-025-02205-6","url":null,"abstract":"<p>Many worry that news on social media leaves people uninformed or even misinformed. Here we conducted a preregistered two-wave online field experiment in France and Germany (<i>N</i> = 3,395) to estimate the effect of following the news on Instagram and WhatsApp. Participants were asked to follow two accounts for 2 weeks and activate the notifications. In the treatment condition, the accounts were those of news organizations, while in the control condition they covered cooking, cinema or art. The treatment enhanced current affairs knowledge, participants’ ability to discern true from false news stories and awareness of true news stories, as well as trust in the news. The treatment had no significant effects on feelings of being informed, political efficacy, affective polarization and interest in news or politics. These results suggest that, while some forms of social media use are harmful, others are beneficial and can be leveraged to foster a well-informed society.</p>","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"26 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144500385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
People lived high in the mountains in Australia during the last ice age 在最后一个冰河时期，人们住在澳大利亚的高山上
IF 29.9 1区 心理学
Nature Human Behaviour Pub Date : 2025-06-27 DOI: 10.1038/s41562-025-02181-x
{"title":"People lived high in the mountains in Australia during the last ice age","authors":"","doi":"10.1038/s41562-025-02181-x","DOIUrl":"https://doi.org/10.1038/s41562-025-02181-x","url":null,"abstract":"New archaeological results from the oldest Pleistocene site yet to be identified in high-altitude Australia indicate that human occupation began about 20,000 years ago, during the peak of the last glacial maximum. This site — Dargan Shelter — provides evidence of repeated human movement through and adaption to a periglacial environment in Australia.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"26 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144500397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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