Nature reviews psychology最新文献_第2页

Machine learning of digital traces to detect risk for behavioural addictions online 数字痕迹的机器学习，以检测在线行为成瘾的风险

IF 22

Nature reviews psychology Pub Date : 2026-08-13 DOI: 10.1038/s44159-026-00604-8

Tyrone L. Burleigh, Yifei Hao, Bruno Schivinski, Maria Prokofieva, Daniel Zarate, Taylor Brown, Vasileios Stavropoulos

{"title":"Machine learning of digital traces to detect risk for behavioural addictions online","authors":"Tyrone L. Burleigh, Yifei Hao, Bruno Schivinski, Maria Prokofieva, Daniel Zarate, Taylor Brown, Vasileios Stavropoulos","doi":"10.1038/s44159-026-00604-8","DOIUrl":"10.1038/s44159-026-00604-8","url":null,"abstract":"Problematic engagement with online activities (such as problematic smartphone or social media use, or gaming disorders and related clinically relevant conditions) have become an important concern in digital mental health. Because these behaviours unfold through interactions with digital devices and platforms, they also generate data that can be used as behavioural traces that inform clinicians about potential risks. In this Review, we synthesize empirical and conceptual work on how digital trace data and machine learning can support early risk detection and prioritize individuals who show evidence of problematic online engagement and related behavioural addictions. Machine learning approaches that analyse information such as how people move through apps, the timing and structure of their online sessions, how frequently they switch between activities, the way they type and the language they use online are promising methods in this field, but analyses and interpretation must be conducted in relation to established psychological models of addiction and ethical and regulatory guidelines. Future progress will depend on the availability of larger and more diverse datasets, clearer validation against clinically meaningful outcomes, and governance frameworks that protect privacy, fairness and user autonomy. Engaging in internet gaming, social media use and other online behaviours can become problematic, but these behaviours are not always clinically relevant. In this Review, Burleigh et al. describe how machine learning and psychological theories should be combined to identify people at risk of behavioural addictions.","PeriodicalId":74249,"journal":{"name":"Nature reviews psychology","volume":"5 10","pages":"659-674"},"PeriodicalIF":22.0,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

When friendliness looks like desire 当友谊看起来像欲望

IF 22

Nature reviews psychology Pub Date : 2026-08-12 DOI: 10.1038/s44159-026-00608-4

Iliana Samara

引用次数: 0

Mental health research in a digital ecosystem 数字生态系统中的心理健康研究

IF 22

Nature reviews psychology Pub Date : 2026-08-07 DOI: 10.1038/s44159-026-00606-6

Matthias Maerevoet

引用次数: 0

Attitudinal ambivalence and political extremism 态度矛盾和政治极端主义

IF 22

Nature reviews psychology Pub Date : 2026-08-04 DOI: 10.1038/s44159-026-00602-w

Brett S. Burton

引用次数: 0

Opportunities and risks of big data for the methods and culture of psychological science 大数据对心理科学方法和文化的机遇与风险

IF 22

Nature reviews psychology Pub Date : 2026-08-03 DOI: 10.1038/s44159-026-00603-9

Gabrielle C. Ibasco, Friedrich M. Götz, Luke Clark, Jessica L. Tracy

{"title":"Opportunities and risks of big data for the methods and culture of psychological science","authors":"Gabrielle C. Ibasco, Friedrich M. Götz, Luke Clark, Jessica L. Tracy","doi":"10.1038/s44159-026-00603-9","DOIUrl":"10.1038/s44159-026-00603-9","url":null,"abstract":"The use of big data, such as large-scale observational and/or archival data, can help psychology to overcome problems with generalizability and enable the study of real-world behaviours. At the same time, big data can be overused or misapplied, which risks reintroducing issues such as an over-reliance on correlations bereft of explanatory power. It is therefore essential that psychologists consider how to leverage big data in an informed and intentional manner. In this Perspective, we describe not only the methodological contributions and limitations of big data, but also the cultural opportunities and risks these approaches evoke; that is, how big data shapes the ways in which psychologists conceptualize and tackle research questions. Of particular concern is that an increased emphasis on big data in combination with academia’s publish-or-perish incentive structure could shift the field from ‘theories-guide-data’ to ‘data-guide-theories’. To address this concern and others, we discuss how big data might be harmonized with experimental approaches, which would enable scholars to harness the power of big data while avoiding its pitfalls. Big data can address problems with generalizability and enable the study of real-world behaviours. However, the overuse of big data could lead to over-reliance on correlations bereft of explanatory power. In this Perspective, Ibasco et al. describe the methodological and cultural opportunities and risks of big data for psychological science.","PeriodicalId":74249,"journal":{"name":"Nature reviews psychology","volume":"5 9","pages":"625-635"},"PeriodicalIF":22.0,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148904479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction in language comprehension across the lifespan 终身语言理解的预测

IF 22

Nature reviews psychology Pub Date : 2026-08-03 DOI: 10.1038/s44159-026-00599-2

Kara D. Federmeier, Hui-Sun Chiu, Cynthia L. Fisher, Yukun Yu

{"title":"Prediction in language comprehension across the lifespan","authors":"Kara D. Federmeier, Hui-Sun Chiu, Cynthia L. Fisher, Yukun Yu","doi":"10.1038/s44159-026-00599-2","DOIUrl":"10.1038/s44159-026-00599-2","url":null,"abstract":"Comprehending language in real time requires the brain to keep pace with ambiguous, variable and often noisy input. One way in which individuals address this challenge is by actively predicting (generating and/or selecting) what might occur next. However, prediction is not a unitary mechanism and is not engaged uniformly among individuals or across the lifespan. In this Review, we examine predictive mechanisms across the lifespan, synthesizing evidence from children, young adults and older adults to show how different aspects of prediction are deployed under different developmental and processing conditions. Viewed developmentally, differences in prediction have multifaceted roots that reflect the joint influence of cognitive resources, linguistic experience and the momentary utility of predictive engagement. Prediction is not an invariant hallmark of comprehension but a dynamically configured system, whose components are selectively engaged to meet the functional demands of language use across life. Comprehending language involves active prediction of what might occur next. In this Review, Federmeier and colleagues synthesize evidence from children, young adults and older adults to show how prediction is dynamically engaged for language comprehension across the lifespan.","PeriodicalId":74249,"journal":{"name":"Nature reviews psychology","volume":"5 9","pages":"595-611"},"PeriodicalIF":22.0,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148904476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The role of hippocampus-based developmental changes in paediatric post-traumatic stress disorder 海马体发育变化在儿童创伤后应激障碍中的作用

IF 22

Nature reviews psychology Pub Date : 2026-08-03 DOI: 10.1038/s44159-026-00595-6

Jordan C. Foster, Elizabeth V. Goldfarb, Dylan G. Gee

{"title":"The role of hippocampus-based developmental changes in paediatric post-traumatic stress disorder","authors":"Jordan C. Foster, Elizabeth V. Goldfarb, Dylan G. Gee","doi":"10.1038/s44159-026-00595-6","DOIUrl":"10.1038/s44159-026-00595-6","url":null,"abstract":"Current evidence-based psychosocial treatments for paediatric post-traumatic stress disorder are not successful for a substantial proportion of young patients. These treatments are mainly based on principles of cued fear reduction and cortico-amygdala circuitry, but overlook alterations in other forms of learning and memory that are centrally implicated in the aetiology of this disorder. In this Perspective, we focus on hippocampus-dependent processes of contextual fear conditioning and generalization — specifically statistical learning, category-based induction and schema learning — and describe their role in paediatric post-traumatic stress disorder. Our synthesis of research on developmental changes supports the view that hippocampal structure and function, along with the related contextual fear-learning processes, are core neurobehavioural mechanisms underlying the onset and maintenance of this disorder in youth. Current and future knowledge of the developmental trajectories of these hippocampus-dependent higher-order learning and memory processes can help to augment the effects of existing clinical interventions. The treatment of paediatric post-traumatic stress disorder currently focuses on associative processes that have primarily been studied in adults. In this Perspective, Foster et al. spotlight higher-order learning processes that typically develop during childhood to specify intervention targets for young patients.","PeriodicalId":74249,"journal":{"name":"Nature reviews psychology","volume":"5 9","pages":"612-624"},"PeriodicalIF":22.0,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148904477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Causal relationships between depression and cardiovascular disease 抑郁症和心血管疾病之间的因果关系

IF 22

Nature reviews psychology Pub Date : 2026-07-31 DOI: 10.1038/s44159-026-00605-7

Francisco Brenes-Castillo

引用次数: 0

Autistic students face ableism in the classroom 自闭症学生在课堂上面临残疾歧视

IF 22

Nature reviews psychology Pub Date : 2026-07-23 DOI: 10.1038/s44159-026-00600-y

Olivia Guy-Evans

引用次数: 0

Interpreting respiratory heart rate variability 解释呼吸心率变异性