{"title":"积极的人工智能态度的阴暗面:调查与(有问题的)社交媒体使用的关系","authors":"Christian Montag , Jon D. Elhai","doi":"10.1016/j.abrep.2025.100613","DOIUrl":null,"url":null,"abstract":"<div><div>In societies around the world, the impact of artificial intelligence (AI) is being fiercely discussed. It is difficult to grasp AI’s influence, because AI represents a general-purpose technology, which can be applied in different settings. One product in which AI plays a pivotal role is social media. In this context, for instance, AI is used to provide people with personalized newsfeeds to prolong time spent online, which might result in addictive-like behavior. Many factors such as sociodemographic variables, history of psychopathology and personality traits have been revealed as risk factors for developing problematic social media use patterns. Yet, to our knowledge attitudes toward AI have not been examined in association with problematic social media use. In a sample of n = 956 social media users, we observed that positive AI attitudes were linked to overuse of social media as assessed with an addiction framework. The effect size of this association was stronger for males than females. Further we observed that this association was mediated by time spent on social media. The present study shows that positive AI attitudes – although well-known to be positive regarding embracing new technologies – might come with risks for developing addictive patterns of technology use, such as social media.</div></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"22 ","pages":"Article 100613"},"PeriodicalIF":2.8000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The darker side of positive AI attitudes: Investigating associations with (problematic) social media use\",\"authors\":\"Christian Montag , Jon D. Elhai\",\"doi\":\"10.1016/j.abrep.2025.100613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In societies around the world, the impact of artificial intelligence (AI) is being fiercely discussed. It is difficult to grasp AI’s influence, because AI represents a general-purpose technology, which can be applied in different settings. One product in which AI plays a pivotal role is social media. In this context, for instance, AI is used to provide people with personalized newsfeeds to prolong time spent online, which might result in addictive-like behavior. Many factors such as sociodemographic variables, history of psychopathology and personality traits have been revealed as risk factors for developing problematic social media use patterns. Yet, to our knowledge attitudes toward AI have not been examined in association with problematic social media use. In a sample of n = 956 social media users, we observed that positive AI attitudes were linked to overuse of social media as assessed with an addiction framework. The effect size of this association was stronger for males than females. Further we observed that this association was mediated by time spent on social media. The present study shows that positive AI attitudes – although well-known to be positive regarding embracing new technologies – might come with risks for developing addictive patterns of technology use, such as social media.</div></div>\",\"PeriodicalId\":38040,\"journal\":{\"name\":\"Addictive Behaviors Reports\",\"volume\":\"22 \",\"pages\":\"Article 100613\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Addictive Behaviors Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352853225000318\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Psychology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Addictive Behaviors Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352853225000318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Psychology","Score":null,"Total":0}
The darker side of positive AI attitudes: Investigating associations with (problematic) social media use
In societies around the world, the impact of artificial intelligence (AI) is being fiercely discussed. It is difficult to grasp AI’s influence, because AI represents a general-purpose technology, which can be applied in different settings. One product in which AI plays a pivotal role is social media. In this context, for instance, AI is used to provide people with personalized newsfeeds to prolong time spent online, which might result in addictive-like behavior. Many factors such as sociodemographic variables, history of psychopathology and personality traits have been revealed as risk factors for developing problematic social media use patterns. Yet, to our knowledge attitudes toward AI have not been examined in association with problematic social media use. In a sample of n = 956 social media users, we observed that positive AI attitudes were linked to overuse of social media as assessed with an addiction framework. The effect size of this association was stronger for males than females. Further we observed that this association was mediated by time spent on social media. The present study shows that positive AI attitudes – although well-known to be positive regarding embracing new technologies – might come with risks for developing addictive patterns of technology use, such as social media.
期刊介绍:
Addictive Behaviors Reports is an open-access and peer reviewed online-only journal offering an interdisciplinary forum for the publication of research in addictive behaviors. The journal accepts submissions that are scientifically sound on all forms of addictive behavior (alcohol, drugs, gambling, Internet, nicotine and technology) with a primary focus on behavioral and psychosocial research. The emphasis of the journal is primarily empirical. That is, sound experimental design combined with valid, reliable assessment and evaluation procedures are a requisite for acceptance. We are particularly interested in ''non-traditional'', innovative and empirically oriented research such as negative/null data papers, replication studies, case reports on novel treatments, and cross-cultural research. Studies that might encourage new lines of inquiry as well as scholarly commentaries on topical issues, systematic reviews, and mini reviews are also very much encouraged. We also welcome multimedia submissions that incorporate video or audio components to better display methodology or findings.