Pub Date : 2024-09-26DOI: 10.1016/j.chb.2024.108453
Ana Guinote , Malgorzata Kossowska , Marian Jago , Success Idenekpoma , Mikey Biddlestone
We investigated whether individuals driven by power motives are more inclined to disseminate (mis)information within their online networks. Four studies (N = 1882) assessed or manipulated chronic and context-specific power motives, alongside other social hierarchical constructs such as actual power. Our findings revealed that both chronic and context-specific power motives were significantly associated with increased dissemination of posts and news in daily interactions and in a simulated sharing task. Power-motivated individuals were found to disproportionately spread more misinformation and demonstrated greater awareness of having disseminated misinformation in the past. Moreover, sharing (mis)information appeared to reinforce the sense of power among these individuals. Effect size magnitudes were moderate in an internal meta-analysis. Interestingly, actual power per se did not influence the spread of (mis)information. This study contributes valuable insights to the ongoing discourse on the motivations behind the spread of (mis)information on social media, highlighting the role of power motives in driving such behaviors.
{"title":"Why do people share (mis)information? Power motives in social media","authors":"Ana Guinote , Malgorzata Kossowska , Marian Jago , Success Idenekpoma , Mikey Biddlestone","doi":"10.1016/j.chb.2024.108453","DOIUrl":"10.1016/j.chb.2024.108453","url":null,"abstract":"<div><div>We investigated whether individuals driven by power motives are more inclined to disseminate (mis)information within their online networks. Four studies (N = 1882) assessed or manipulated chronic and context-specific power motives, alongside other social hierarchical constructs such as actual power. Our findings revealed that both chronic and context-specific power motives were significantly associated with increased dissemination of posts and news in daily interactions and in a simulated sharing task. Power-motivated individuals were found to disproportionately spread more misinformation and demonstrated greater awareness of having disseminated misinformation in the past. Moreover, sharing (mis)information appeared to reinforce the sense of power among these individuals. Effect size magnitudes were moderate in an internal meta-analysis. Interestingly, actual power per se did not influence the spread of (mis)information. This study contributes valuable insights to the ongoing discourse on the motivations behind the spread of (mis)information on social media, highlighting the role of power motives in driving such behaviors.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108453"},"PeriodicalIF":9.0,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142424534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-24DOI: 10.1016/j.chb.2024.108455
Nhan Duc Nguyen , Ngoc-Anh Truong , Pham Quang Dao , Huan Hong Nguyen
Purpose
The association between online social networking sites (SNS) and the mental health of adolescents has been a subject of investigation, yielding conflicting results in previous studies. While some findings suggest a negative correlation between SNS usage and mental health, others propose a positive link. This study aimed to reconcile these discrepancies by examining the combined impact of two types of SNS usage on depression, considering envy and self-esteem as potential mediators.
Design/methodology/approach
A total of 523 participants completed a questionnaire assessing SNS usage, envy, self-esteem, and depression. The Partial Least Squares Structural Equation Modeling (PLS-SEM) approach was employed.
Findings
The results revealed distinct patterns in the relationship between SNS usage and depression based on guided theories. Specifically, passive social network usage (PSNU) was found to be positively linked to depression through both envy and self-esteem, aligning with the Social Comparison Theory. On the other hand, active social network usage (ASNU), guided by the Social Information Processing Theory, exhibited a negative link to depression, mediated only by self-esteem.
Originality/value
These findings suggest that PSNU may exert a more prevalent and dominant association with depression than ASNU. Consequently, recognizing the distinct patterns of SNS usage is essential for understanding their effects on mental health. Integrating both ASNU and PSNU into the same model clarified their unique contributions to mental health through multiple mediators (envy and self-esteem). The study discusses limitations and implications, shedding light on the nuanced relationship.
目的 网上社交网站（SNS）与青少年心理健康之间的关系一直是研究的主题，以往的研究结果相互矛盾。一些研究结果表明，社交网站的使用与心理健康之间存在负相关，而另一些研究则认为两者之间存在正相关。本研究旨在通过考察两种SNS使用方式对抑郁症的综合影响，并将嫉妒和自尊作为潜在的中介因素，来调和这些差异。设计/方法/途径共有523名参与者填写了一份问卷，评估SNS使用情况、嫉妒、自尊和抑郁症。结果结果显示，基于指导理论，社交网络使用与抑郁之间的关系存在不同的模式。具体而言，被动社交网络使用（PSNU）通过嫉妒和自尊与抑郁呈正相关，这与社会比较理论相吻合。另一方面，以社会信息处理理论（Social Information Processing Theory）为指导的主动社交网络使用（ASNU）则表现出与抑郁症的负向联系，而这种联系仅以自尊为中介。因此，要了解 SNS 对心理健康的影响，就必须认识到 SNS 使用的不同模式。将ASNU和PSNU整合到同一个模型中，通过多种中介因素（嫉妒和自尊）阐明了它们对心理健康的独特贡献。本研究讨论了局限性和影响，揭示了两者之间的微妙关系。
{"title":"Can online behaviors be linked to mental health? Active versus passive social network usage on depression via envy and self-esteem","authors":"Nhan Duc Nguyen , Ngoc-Anh Truong , Pham Quang Dao , Huan Hong Nguyen","doi":"10.1016/j.chb.2024.108455","DOIUrl":"10.1016/j.chb.2024.108455","url":null,"abstract":"<div><h3>Purpose</h3><div>The association between online social networking sites (SNS) and the mental health of adolescents has been a subject of investigation, yielding conflicting results in previous studies. While some findings suggest a negative correlation between SNS usage and mental health, others propose a positive link. This study aimed to reconcile these discrepancies by examining the combined impact of two types of SNS usage on depression, considering envy and self-esteem as potential mediators.</div></div><div><h3>Design/methodology/approach</h3><div>A total of 523 participants completed a questionnaire assessing SNS usage, envy, self-esteem, and depression. The Partial Least Squares Structural Equation Modeling (PLS-SEM) approach was employed.</div></div><div><h3>Findings</h3><div>The results revealed distinct patterns in the relationship between SNS usage and depression based on guided theories. Specifically, passive social network usage (PSNU) was found to be positively linked to depression through both envy and self-esteem, aligning with the Social Comparison Theory. On the other hand, active social network usage (ASNU), guided by the Social Information Processing Theory, exhibited a negative link to depression, mediated only by self-esteem.</div></div><div><h3>Originality/value</h3><div>These findings suggest that PSNU may exert a more prevalent and dominant association with depression than ASNU. Consequently, recognizing the distinct patterns of SNS usage is essential for understanding their effects on mental health. Integrating both ASNU and PSNU into the same model clarified their unique contributions to mental health through multiple mediators (envy and self-esteem). The study discusses limitations and implications, shedding light on the nuanced relationship.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108455"},"PeriodicalIF":9.0,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142323012","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}
Pub Date : 2024-09-24DOI: 10.1016/j.chb.2024.108459
Ke Yu , Anise M.S. Wu , Chun Feng , Wen Zhao , Guoguo Zuo
Although perceived problematic online pornography use has attracted attention, how this phenomenon manifests among females is not well understood. Based on self-regulation theory and the Interaction of Person-Affect-Cognition-Execution model, this study explored the prospective effects of behavioral (i.e., pornography use frequency) and psychological (i.e., difficulties in engaging in goal-directed behaviors) risk factors on perceived problematic online pornography use. Furthermore, it examined the direct and moderating roles of self-acceptance in these associations. Analysis of anonymous survey data of 559 young Chinese women (mean age = 19.86 years) collected at two time points over a one-year interval revealed that both Time 1 (T1) pornography use frequency and T1 difficulties in engaging in goal-directed behaviors were positively correlated, whereas T1 self-acceptance was negatively correlated with perceived problematic online pornography use assessed at both T1 and Time 2 (T2). Moreover, T1 self-acceptance moderated the prospective effect of T1 pornography use frequency on T2 perceived problematic online pornography use after the hierarchical regression model controlled for T1 perceived problematic online pornography use. This prospective effect was weaker for individuals with high rather than low self-acceptance. Our findings advance knowledge of the complex underlying psychological mechanisms of perceived problematic online pornography use by providing evidence of both the direct and/or moderated roles of pornography use frequency, difficulties in engaging in goal-directed behavior, and self-acceptance in these mechanisms. Our study also offers a novel perspective and potential for implementing preventive and therapeutic interventions based on acceptance and commitment therapy among young women with problematic pornography use.
{"title":"Self-regulation deficiencies and perceived problematic online pornography use among young Chinese women: The role of self-acceptance","authors":"Ke Yu , Anise M.S. Wu , Chun Feng , Wen Zhao , Guoguo Zuo","doi":"10.1016/j.chb.2024.108459","DOIUrl":"10.1016/j.chb.2024.108459","url":null,"abstract":"<div><div>Although perceived problematic online pornography use has attracted attention, how this phenomenon manifests among females is not well understood. Based on self-regulation theory and the Interaction of Person-Affect-Cognition-Execution model, this study explored the prospective effects of behavioral (i.e., pornography use frequency) and psychological (i.e., difficulties in engaging in goal-directed behaviors) risk factors on perceived problematic online pornography use. Furthermore, it examined the direct and moderating roles of self-acceptance in these associations. Analysis of anonymous survey data of 559 young Chinese women (mean age = 19.86 years) collected at two time points over a one-year interval revealed that both Time 1 (T1) pornography use frequency and T1 difficulties in engaging in goal-directed behaviors were positively correlated, whereas T1 self-acceptance was negatively correlated with perceived problematic online pornography use assessed at both T1 and Time 2 (T2). Moreover, T1 self-acceptance moderated the prospective effect of T1 pornography use frequency on T2 perceived problematic online pornography use after the hierarchical regression model controlled for T1 perceived problematic online pornography use. This prospective effect was weaker for individuals with high rather than low self-acceptance. Our findings advance knowledge of the complex underlying psychological mechanisms of perceived problematic online pornography use by providing evidence of both the direct and/or moderated roles of pornography use frequency, difficulties in engaging in goal-directed behavior, and self-acceptance in these mechanisms. Our study also offers a novel perspective and potential for implementing preventive and therapeutic interventions based on acceptance and commitment therapy among young women with problematic pornography use.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108459"},"PeriodicalIF":9.0,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142323013","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}
Pub Date : 2024-09-24DOI: 10.1016/j.chb.2024.108457
Ruofei Zhang , Di Zou , Gary Cheng , Haoran Xie
Flow is a state of full engagement in an activity. Learning environments featured by Skill-challenge balance, Clear goal, Feedback, and Playability — collectively known as flow antecedents – can induce flow experiences and improve learning outcomes. ChatGPT-based environment seems to encourage a flow in learners: By customising tasks to match students' abilities, aligning materials with clear objectives, providing instant feedback, and ensuring ease of use, ChatGPT can help learners enter a flow state, which, in turn, leads to improved learning. However, there hasn't been much research on flow in ChatGPT-based learning. To bridge the gap, we developed a ChatGPT-based environment for developing logic in English argumentative writing. We studied 40 Chinese university English-as-a-foreign-language (EFL) students in the learning using questionnaires, eye-tracking data, knowledge tests, essay writing tasks, and semi-structured interviews to understand how they experienced flow and how it affected their learning. Our findings showed that the ChatGPT-based environment strongly supports flow antecedents. Skill-challenge balance and Playability were particularly influential for inducing flow experiences. Students who experienced a deeper flow showed better understanding of argumentative writing logic, although their writing self-efficacy became lower. Drawing from the findings, our study highlights how AI like ChatGPT can influence experiences and outcomes of logic learning and language learning, which may be applicable across various domains and disciplines.
{"title":"Flow in ChatGPT-based logic learning and its influences on logic and self-efficacy in English argumentative writing","authors":"Ruofei Zhang , Di Zou , Gary Cheng , Haoran Xie","doi":"10.1016/j.chb.2024.108457","DOIUrl":"10.1016/j.chb.2024.108457","url":null,"abstract":"<div><div>Flow is a state of full engagement in an activity. Learning environments featured by Skill-challenge balance, Clear goal, Feedback, and Playability — collectively known as flow antecedents – can induce flow experiences and improve learning outcomes. ChatGPT-based environment seems to encourage a flow in learners: By customising tasks to match students' abilities, aligning materials with clear objectives, providing instant feedback, and ensuring ease of use, ChatGPT can help learners enter a flow state, which, in turn, leads to improved learning. However, there hasn't been much research on flow in ChatGPT-based learning. To bridge the gap, we developed a ChatGPT-based environment for developing logic in English argumentative writing. We studied 40 Chinese university English-as-a-foreign-language (EFL) students in the learning using questionnaires, eye-tracking data, knowledge tests, essay writing tasks, and semi-structured interviews to understand how they experienced flow and how it affected their learning. Our findings showed that the ChatGPT-based environment strongly supports flow antecedents. Skill-challenge balance and Playability were particularly influential for inducing flow experiences. Students who experienced a deeper flow showed better understanding of argumentative writing logic, although their writing self-efficacy became lower. Drawing from the findings, our study highlights how AI like ChatGPT can influence experiences and outcomes of logic learning and language learning, which may be applicable across various domains and disciplines.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108457"},"PeriodicalIF":9.0,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357943","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}
Pub Date : 2024-09-24DOI: 10.1016/j.chb.2024.108456
Nicolas Bazine , Julie Serra , Marianna Giunchi , Marco Peña-Jimenez
With the advent of the Fourth Industrial Revolution, significant use of social network services (SNSs) for career-related purposes has begun to emerge. However, relatively few studies have explored the adverse effects of networking on SNSs, and the existing literature has overlooked its potential consequences. Drawing on upward social comparison theory, this study investigates how networking on SNSs affects career satisfaction through an upward social comparison mechanism leading to ego depletion. To achieve this, we carried out two studies. In Study 1, the hypotheses were tested using a sample of 408 workers. The results indicated that networking on SNSs is negatively related to career satisfaction through a sequential mediation of upward social comparison and ego depletion. In Study 2, we examined this mechanism using a longitudinal design with a three-wave survey of 157 workers, replicating and confirming the findings of Study 1. Both studies demonstrated the process through which networking on SNSs might produce adverse effects on career satisfaction. These findings offer guidance for career counselors, training and development professionals, and managers who want to limit the negative side of networking on SNSs. Different implications for theory and practice are discussed.
{"title":"The negative consequences of networking through social network services: A social comparison perspective","authors":"Nicolas Bazine , Julie Serra , Marianna Giunchi , Marco Peña-Jimenez","doi":"10.1016/j.chb.2024.108456","DOIUrl":"10.1016/j.chb.2024.108456","url":null,"abstract":"<div><div>With the advent of the Fourth Industrial Revolution, significant use of social network services (SNSs) for career-related purposes has begun to emerge. However, relatively few studies have explored the adverse effects of networking on SNSs, and the existing literature has overlooked its potential consequences. Drawing on upward social comparison theory, this study investigates how networking on SNSs affects career satisfaction through an upward social comparison mechanism leading to ego depletion. To achieve this, we carried out two studies. In Study 1, the hypotheses were tested using a sample of 408 workers. The results indicated that networking on SNSs is negatively related to career satisfaction through a sequential mediation of upward social comparison and ego depletion. In Study 2, we examined this mechanism using a longitudinal design with a three-wave survey of 157 workers, replicating and confirming the findings of Study 1. Both studies demonstrated the process through which networking on SNSs might produce adverse effects on career satisfaction. These findings offer guidance for career counselors, training and development professionals, and managers who want to limit the negative side of networking on SNSs. Different implications for theory and practice are discussed.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108456"},"PeriodicalIF":9.0,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319881","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}
Pub Date : 2024-09-23DOI: 10.1016/j.chb.2024.108458
Donghui Wang , Yuwei Duan , Yongai Jin
Online fraud poses a growing threat to the well-being of old adults. This study examines the causes and correlates of online fraud targeting and victimization among old adults in China. Drawing insights from the digital inequality theory and lifestyle routine activity theory and utilizing a nationally representative survey of Chinese old adults (N = 4293), this study examines how socioeconomic status and online lifestyle patterns affect their susceptibility to online fraud. The results show that old adults of better socioeconomic status are more likely to be targeted by online frauds, though not necessarily experiencing financial loss. Latent class analysis identifies four online activity lifestyles among old adults: basic, entertainment, risky, and advanced users. Subsequent analysis demonstrates that these lifestyle types predict different risks of online fraud targeting and victimization. Basic users face a heightened risk of being targeted but not necessarily monetary loss. Risky users, while not exhibiting elevated targeting risks compared to basic users, are more susceptible to financial loss once targeted. Advanced users, in contrast to basic users, face elevated risks of being targeted and monetary loss. This study offers new insights into the risk factors for online fraud targeting and victimization among old adults in China, informing the development of effective online fraud prevention programs.
{"title":"Navigating online perils: Socioeconomic status, online activity lifestyles, and online fraud targeting and victimization of old adults in China","authors":"Donghui Wang , Yuwei Duan , Yongai Jin","doi":"10.1016/j.chb.2024.108458","DOIUrl":"10.1016/j.chb.2024.108458","url":null,"abstract":"<div><div>Online fraud poses a growing threat to the well-being of old adults. This study examines the causes and correlates of online fraud targeting and victimization among old adults in China. Drawing insights from the digital inequality theory and lifestyle routine activity theory and utilizing a nationally representative survey of Chinese old adults (N = 4293), this study examines how socioeconomic status and online lifestyle patterns affect their susceptibility to online fraud. The results show that old adults of better socioeconomic status are more likely to be targeted by online frauds, though not necessarily experiencing financial loss. Latent class analysis identifies four online activity lifestyles among old adults: basic, entertainment, risky, and advanced users. Subsequent analysis demonstrates that these lifestyle types predict different risks of online fraud targeting and victimization. Basic users face a heightened risk of being targeted but not necessarily monetary loss. Risky users, while not exhibiting elevated targeting risks compared to basic users, are more susceptible to financial loss once targeted. Advanced users, in contrast to basic users, face elevated risks of being targeted and monetary loss. This study offers new insights into the risk factors for online fraud targeting and victimization among old adults in China, informing the development of effective online fraud prevention programs.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108458"},"PeriodicalIF":9.0,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142323011","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}
Pub Date : 2024-09-21DOI: 10.1016/j.chb.2024.108451
Xu Han , Qiang Li , Yaling Qi , Hongbo Cao , Witold Pedrycz , Wei Wang
Telephone scams, with their profound psychological impact, often compel victims to make hasty and severe decisions. Studying these scams is challenging due to the scarcity of comprehensive datasets, a result of the private nature of telephone interactions. In this paper, we introduce ScamGen, a template-based data augmentation technique designed to enhance Chinese telephone scam data. ScamGen leverages psychological insights to generate diverse and realistic scam scenarios, focusing on the psychological dynamics between scammers and victims. This novel approach integrates psychological theory with data augmentation, diverging from traditional methods by emphasizing scammer–victim interactions. Our method begins with a multi-source data collection framework, compiling an initial seed dataset of tele-scam samples. Using sentence- and word-level perturbations, we expand this seed data to create a comprehensive and diverse dataset covering a wide range of scam scenarios. Rigorous evaluations demonstrate that ScamGen outperforms large language models in generating high-quality, varied datasets. Additionally, we develop five deep learning models for intent detection on this dataset, with BERT achieving the highest precision at 86.68%. The dataset, which will be made publicly available, marks a significant step toward understanding scammer tactics and improving tele-scam detection systems.
{"title":"ScamGen: Unveiling psychological patterns in tele-scam through advanced template-augmented corpus generation","authors":"Xu Han , Qiang Li , Yaling Qi , Hongbo Cao , Witold Pedrycz , Wei Wang","doi":"10.1016/j.chb.2024.108451","DOIUrl":"10.1016/j.chb.2024.108451","url":null,"abstract":"<div><div>Telephone scams, with their profound psychological impact, often compel victims to make hasty and severe decisions. Studying these scams is challenging due to the scarcity of comprehensive datasets, a result of the private nature of telephone interactions. In this paper, we introduce <span>ScamGen</span>, a template-based data augmentation technique designed to enhance Chinese telephone scam data. <span>ScamGen</span> leverages psychological insights to generate diverse and realistic scam scenarios, focusing on the psychological dynamics between scammers and victims. This novel approach integrates psychological theory with data augmentation, diverging from traditional methods by emphasizing scammer–victim interactions. Our method begins with a multi-source data collection framework, compiling an initial seed dataset of tele-scam samples. Using sentence- and word-level perturbations, we expand this seed data to create a comprehensive and diverse dataset covering a wide range of scam scenarios. Rigorous evaluations demonstrate that <span>ScamGen</span> outperforms large language models in generating high-quality, varied datasets. Additionally, we develop five deep learning models for intent detection on this dataset, with BERT achieving the highest precision at 86.68%. The dataset, which will be made publicly available, marks a significant step toward understanding scammer tactics and improving tele-scam detection systems.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108451"},"PeriodicalIF":9.0,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142316017","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}
Pub Date : 2024-09-20DOI: 10.1016/j.chb.2024.108447
Patricia Baudier, Elodie de Boissieu
Artificial intelligence (AI) has given us social robots that interact with us in everyday life. As chatbots, they are sometimes the first point of entry for contacting a brand. Trends have emerged with human-like social media robot influencers (SMRs) promoting products and services. The literature on this subject is incomplete, so this study aims to mobilize source credibility theory to analyze the influence of individuals’ perceptions of SMRs on attitudes toward their use. The influence of anthropomorphism on attitude is investigated, and the relationship is analyzed between attitudes on purchase intention for products promoted by both SMRs and e-word-of-mouth. Finally, the impact of gender and native continent as moderators is controlled. Using a quantitative method, a survey based on existing scales was scripted, and a total sample of 300 digital natives (born after 1980) was collected worldwide. The results were analyzed using the partial least approach and SmartPLS4 software. Our findings reveal the importance of trustworthiness, expertise, physical attractiveness, content attractiveness, and anthropomorphic appearance. However, similarities between influencers and followers have no impact on attitudes toward the use of SMRs. Finally, the theory of source credibility is shown to be enriched by anthropomorphism, and the moderating effect of gender and native continent is demonstrated.
{"title":"Are social media robot influencers credible? A cross-continental analysis in a fashion context","authors":"Patricia Baudier, Elodie de Boissieu","doi":"10.1016/j.chb.2024.108447","DOIUrl":"10.1016/j.chb.2024.108447","url":null,"abstract":"<div><p>Artificial intelligence (AI) has given us social robots that interact with us in everyday life. As chatbots, they are sometimes the first point of entry for contacting a brand. Trends have emerged with human-like social media robot influencers (SMRs) promoting products and services. The literature on this subject is incomplete, so this study aims to mobilize source credibility theory to analyze the influence of individuals’ perceptions of SMRs on attitudes toward their use. The influence of anthropomorphism on attitude is investigated, and the relationship is analyzed between attitudes on purchase intention for products promoted by both SMRs and e-word-of-mouth. Finally, the impact of gender and native continent as moderators is controlled. Using a quantitative method, a survey based on existing scales was scripted, and a total sample of 300 digital natives (born after 1980) was collected worldwide. The results were analyzed using the partial least approach and SmartPLS4 software. Our findings reveal the importance of trustworthiness, expertise, physical attractiveness, content attractiveness, and anthropomorphic appearance. However, similarities between influencers and followers have no impact on attitudes toward the use of SMRs. Finally, the theory of source credibility is shown to be enriched by anthropomorphism, and the moderating effect of gender and native continent is demonstrated.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108447"},"PeriodicalIF":9.0,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271866","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}
Pub Date : 2024-09-20DOI: 10.1016/j.chb.2024.108448
Hao Chen , Pingping Wang , Shuaikang Hao
This paper aims to investigate how AI disclosure affects user engagement intention. We try to comprehensively explore the fundamental mechanisms behind AI disclosure and user engagement, along with the boundary conditions that impact the relationship. Based on the heuristic-systematic model, this study built a moderated mediation model and conducted an online experiment on “Credamo” platform. The 479 valid experimental data of the study were analyzed by partial least squares structural equation modeling (PLS-SEM). The results indicate that AI disclosure has a direct, positive impact on user engagement intention, while it could also diminish user engagement intention by lowering users' perceived content quality. However, the negative impact on perceived content quality can be mitigated by improving users’ perceived AI capabilities. This study expands the research focus of AI disclosure and the practical application of heuristic-systematic model, which provides theoretical insights to the artificial intelligence related literature. In addition, we put forward to informed practical recommendations for video content creators and publishers in creating content and promoting user interaction.
{"title":"AI in the spotlight: The impact of artificial intelligence disclosure on user engagement in short-form videos","authors":"Hao Chen , Pingping Wang , Shuaikang Hao","doi":"10.1016/j.chb.2024.108448","DOIUrl":"10.1016/j.chb.2024.108448","url":null,"abstract":"<div><div>This paper aims to investigate how AI disclosure affects user engagement intention. We try to comprehensively explore the fundamental mechanisms behind AI disclosure and user engagement, along with the boundary conditions that impact the relationship. Based on the heuristic-systematic model, this study built a moderated mediation model and conducted an online experiment on “Credamo” platform. The 479 valid experimental data of the study were analyzed by partial least squares structural equation modeling (PLS-SEM). The results indicate that AI disclosure has a direct, positive impact on user engagement intention, while it could also diminish user engagement intention by lowering users' perceived content quality. However, the negative impact on perceived content quality can be mitigated by improving users’ perceived AI capabilities. This study expands the research focus of AI disclosure and the practical application of heuristic-systematic model, which provides theoretical insights to the artificial intelligence related literature. In addition, we put forward to informed practical recommendations for video content creators and publishers in creating content and promoting user interaction.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108448"},"PeriodicalIF":9.0,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319884","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}
Pub Date : 2024-09-20DOI: 10.1016/j.chb.2024.108454
Eden Kamar , Roberta Liggett O'Malley , C. Jordan Howell , David Maimon , Dekel Shabat
This article presents an examination of the technological components of the online sexual grooming abuse process. While much of the existing literature on online grooming and child exploitation focuses on the broader behavioral patterns of offenders, our study examines the specific affordances of Information and Communication Technologies (ICT) that enable and exacerbate these behaviors. Through a multidisciplinary lens, we conducted a digital forensic analysis of 371 URL links obtained from two studies with active online groomers. The analysis reveals that online groomers use URLs to engage in social engineering, distribute malware, solicit Child Sexual Abuse Material (CSAM), and share images. These findings suggests that previous models and stage descriptions of the online grooming process overlook how different ICT tools can be adopted and adapted to facilitate the online grooming and abuse process. We draw on the technology acceptance model to explain that the perceived affordances of a platform, particularly those that facilitate covert or malicious activities, are likely to influence offenders' choices in using these ICTs. The implications of these findings extend to theoretical, methodological, and policy considerations.
{"title":"“Cutie, click on the link”: A forensic analysis of URLs","authors":"Eden Kamar , Roberta Liggett O'Malley , C. Jordan Howell , David Maimon , Dekel Shabat","doi":"10.1016/j.chb.2024.108454","DOIUrl":"10.1016/j.chb.2024.108454","url":null,"abstract":"<div><div>This article presents an examination of the technological components of the online sexual grooming abuse process. While much of the existing literature on online grooming and child exploitation focuses on the broader behavioral patterns of offenders, our study examines the specific affordances of Information and Communication Technologies (ICT) that enable and exacerbate these behaviors. Through a multidisciplinary lens, we conducted a digital forensic analysis of 371 URL links obtained from two studies with active online groomers. The analysis reveals that online groomers use URLs to engage in social engineering, distribute malware, solicit Child Sexual Abuse Material (CSAM), and share images. These findings suggests that previous models and stage descriptions of the online grooming process overlook how different ICT tools can be adopted and adapted to facilitate the online grooming and abuse process. We draw on the technology acceptance model to explain that the perceived affordances of a platform, particularly those that facilitate covert or malicious activities, are likely to influence offenders' choices in using these ICTs. The implications of these findings extend to theoretical, methodological, and policy considerations.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108454"},"PeriodicalIF":9.0,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142313031","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}
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