{"title":"Nurture over nature? The effects of inferred personality traits and structural social capital on individual resilience","authors":"Fengjiao Zhang , Zhao Pan , Bingli Luo , Qian Hu","doi":"10.1016/j.tele.2025.102249","DOIUrl":"10.1016/j.tele.2025.102249","url":null,"abstract":"<div><div>Due to increasing pressures from work, family, and society, mental health problems have become an urgent challenge in recent years. Individual resilience—a person’s capacity to cope with considerable change, adversity, or risk—can help decrease the likelihood of mental health problems and recover to a healthy state quickly. Despite its importance for individuals’ mental health, resilience has not received enough attention in the literature. Therefore, using the Myers-Briggs Type Indicator (MBTI), we aim to investigate the influence of personality traits on individual resilience in the mental health context. Meanwhile, based on trait activation theory, we consider the structural social capital as a trait-relevant situational cue and explore its moderating effect on the relationship between personality traits and individual resilience. We trained a deep learning model to infer a user’s personality traits from user-generated textual content, constructed a rule-based algorithm to evaluate individual resilience, and used social network analysis to measure structural social capital. And then we tested our hypotheses using a pooled regression model based on panel data. The results indicated that higher individual resilience is related to higher extroversion, feeling, and perceiving relevant personality traits. Introverts and judgers become more resilient when structural social capital is present. Our findings reveal the important role that personality traits (nature) and structural social capital (nurture) play in shaping and influencing individual resilience. The study offers valuable insights for community managers to identify potential users with low levels of resilience and give them extra care and help.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"98 ","pages":"Article 102249"},"PeriodicalIF":7.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiyoun Suk , Yini Zhang , Jiawei Liu , Yukyung Yang
{"title":"Communicative AI in the scientific public sphere: An analysis of Twitter discourse on generative AI tools","authors":"Jiyoun Suk , Yini Zhang , Jiawei Liu , Yukyung Yang","doi":"10.1016/j.tele.2025.102261","DOIUrl":"10.1016/j.tele.2025.102261","url":null,"abstract":"<div><div>Drawing on the concept of the scientific public sphere, this study examines the public sense-making of communicative AI (e.g., generative AI) on social media. Advancing a framework encompassing cognitive (technology vs. use) and affective (positive vs. negative) dimensions of the public discourse on communicative AI, we analyzed global Twitter (now X) conversations about generative AI tools. Findings showed that the text generator (ChatGPT) discussions centered more on the technology-centered themes, whereas the image generator discussions emphasized their uses. ChatGPT received mixed sentiments in technology-related discussions, while there was more positive sentiment about the its uses. Theoretical and practical implications are discussed.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"98 ","pages":"Article 102261"},"PeriodicalIF":7.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hollow infrastructures: The case of Facebook and Israeli civil society","authors":"Shaul A. Duke","doi":"10.1016/j.tele.2025.102246","DOIUrl":"10.1016/j.tele.2025.102246","url":null,"abstract":"<div><div>Recent scholarship has shown that digital infrastructures most often have a very slow demise and linger on for years after they start deteriorating. Moreover, this perplexing endurance comes despite apparent acts of erosion in the value they offer to groups of users. How can we understand the long tail of digital infrastructures in decline? How do digital infrastructures manage to retain groups of users despite deterioration in the utility that the platform provides them? This paper offers the term ‘hollow infrastructures’ as a partial explanation to these questions, and will suggest that certain groups of users and third parties are complicit in keeping a façade of functionality, and thus unintentionally confuse those who encounter these declining platforms. Yet the end result is a lack of efficiency and a drain on resources for those using these hollow infrastructures. This will be done by analyzing the case study of Facebook and Israeli civil society organizations. This analysis is based on a qualitative research project that included content analysis of website and Facebook pages, and 31 interviews.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"98 ","pages":"Article 102246"},"PeriodicalIF":7.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Olli Tyrväinen , Henri Pirkkalainen , Markus Salo , Heikki Karjaluoto
{"title":"Overloaded yet addicted? A meta-analysis of the outcomes of social media overload","authors":"Olli Tyrväinen , Henri Pirkkalainen , Markus Salo , Heikki Karjaluoto","doi":"10.1016/j.tele.2025.102247","DOIUrl":"10.1016/j.tele.2025.102247","url":null,"abstract":"<div><div>This meta-analysis advances the understanding of social media overload’s dimensions and outcomes. Drawing from the transactional view of technostress and the theory on self-regulation, it theorizes the role played by four dimensions of social media overload —information, social, communication, and system feature overload. Linked to exhaustion and addiction, these dimensions affect self-regulation. Although exhaustion reduces work performance and increases the intention to discontinue social media use, addiction decreases the discontinuance intention and hinders work performance. The study contributes to the information systems literature with an improved understanding of the relation between two literature streams—technostress and information technology addiction.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"98 ","pages":"Article 102247"},"PeriodicalIF":7.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143225979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michal Misiak , Arkadiusz Urbanek , Tomasz Frackowiak , Piotr Sorokowski
{"title":"Who wants to be a YouTuber? Personality traits predict the desire to become a social media influencer","authors":"Michal Misiak , Arkadiusz Urbanek , Tomasz Frackowiak , Piotr Sorokowski","doi":"10.1016/j.tele.2025.102248","DOIUrl":"10.1016/j.tele.2025.102248","url":null,"abstract":"<div><div>The rise of social media influencing as a career path has sparked both public interest and concern, particularly regarding young people's aspirations. This study investigated how personality traits influence the motivation to become a social media influencer among young adults in Poland (n = 362) and the United Kingdom (n = 411). We examined the Big Five personality traits, narcissism, and histrionism as potential predictors of influencer career aspirations. Participants (N = 773, aged 16–17) completed personality assessments and rated their motivation to pursue various professions. Hierarchical regression analyses revealed that higher levels of extraversion, narcissism, and histrionism were positively associated with motivation to become a social media influencer, while conscientiousness exhibited an inconsistent negative association. Country-specific analyses indicated that narcissism was a significant predictor in Poland, whereas extraversion, conscientiousness, and histrionism were significant predictors in the UK. These findings highlight the interplay between personality and career aspirations in the digital age. While pursuing influencer careers may offer opportunities for self-expression that appeal to certain personality types, it also poses psychological risks, particularly for individuals high in narcissism and histrionism. These results have implications for career counselling and mental health professionals, supporting young adults navigating the new professional landscape.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"98 ","pages":"Article 102248"},"PeriodicalIF":7.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Who owns AI-generated artwork? Revisiting the work of generative AI based on human-AI co-creation","authors":"Yohan Hwang , Dongkwang Shin , Jang Ho Lee","doi":"10.1016/j.tele.2025.102266","DOIUrl":"10.1016/j.tele.2025.102266","url":null,"abstract":"<div><div>Generative Artificial Intelligence (AI) tools have become increasingly common in educational contexts. However, questions remain regarding the ownership and copyright of intellectual property generated through human-AI collaboration. The present study explored Korean college students’ perceptions of ownership and copyright over images generated through the iterative process of refining prompts within AI image generators. Participants engaged in the image generation project of visualizing the meaning of target words using ChatGPT to generate prompts for the Bing Image Creator. Post-project survey and reflection papers were administered to assess their emotions, sense of ownership, and copyright views related to AI-generated images through the prompts. Sentiment analysis revealed the complexity of participants’ attitudes toward AI and its creation. Views on copyright varied from individual attribution to shared or uncertain ownership. Frequency of prompt use significantly influenced ownership and prompt-based perceptions of copyright. The results of this study provide insight into the intellectual property issues arising from human-AI co-creation, and point to the urgent need for more discussion and balanced views on creative collaboration with AI.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"98 ","pages":"Article 102266"},"PeriodicalIF":7.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Am I watching or being watched? Exploring the selective disclosure paradox in users’ self-censorship to dataveillance awareness in video recommender systems","authors":"Jooyoung Kim, Hangjung Zo","doi":"10.1016/j.tele.2025.102253","DOIUrl":"10.1016/j.tele.2025.102253","url":null,"abstract":"<div><div>In today’s rapidly evolving digital media landscape, video recommender systems have become central to enhancing user experiences by delivering personalized content. However, they also raise significant concerns about dataveillance—the continuous monitoring of user behavior. This study examines the complex relationship between dataveillance awareness, privacy concerns, perceived value of information disclosure, protective intentions, and self-censorship in video recommender systems. Using structural equation modeling based on data from an online scenario-based experiment (N = 385), our findings reveal that heightened dataveillance awareness significantly increases privacy concerns and diminishes the perceived value of sharing information. These privacy concerns drive users toward protective behaviors, such as self-censorship. Notably, the study reveals a selective disclosure paradox: where users are more likely to engage in self-censorship when they perceive their shared information as valuable, but when they become more aware of being monitored (dataveillance), they start to see their information as less valuable, which makes them less likely to self-censor. Grounded in privacy calculus and protection motivation theories, this research underscores the chilling effect of dataveillance and presents a comprehensive model that explains how perceived privacy risks shape user engagement. By shedding light on unconscious behaviors that may hinder recommender systems’ ability to optimize their algorithms, the findings offer both theoretical insights into digital user behavior and practical recommendations for designing systems that balance personalization with subtle management of perceived disclosure value, ultimately reducing self-censorship.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"98 ","pages":"Article 102253"},"PeriodicalIF":7.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Does greater chatbot usage lead to more positive affective attitudes toward AI? A moderated mediation model of relational capacity, competence, and privacy concerns in a two-wave panel study","authors":"Bolin Cao, Chuanqin Wen","doi":"10.1016/j.tele.2025.102263","DOIUrl":"10.1016/j.tele.2025.102263","url":null,"abstract":"<div><div>This study investigates the relationship between AI chatbot usage and affective attitudes toward AI, utilizing two-wave panel data with 579 and 391 participants, respectively. Integrating the CASA model, social cognitive theory, and privacy calculus theory, this research explores a moderated mediation model shaping affective attitudes toward AI. The results indicated that frequent interactions with AI chatbots were positively associated with positive affective attitudes, mediated by perceived relational capacity. Privacy concerns were negatively associated with affective attitudes toward AI. However, strong relational capacity could mitigate this effect, allowing users with high privacy concerns to maintain a positive affective attitude toward AI. This research enhances our understanding of privacy concerns in the AI era and underscores the importance of enhancing the relational capacity of chatbots while balancing the personalization-privacy dilemma when designing AI chatbots.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"98 ","pages":"Article 102263"},"PeriodicalIF":7.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How emojis and relationships shape sarcasm perception in computer-mediated communication","authors":"Qiaoyi Xue , Yu-Chi Lee","doi":"10.1016/j.tele.2025.102242","DOIUrl":"10.1016/j.tele.2025.102242","url":null,"abstract":"<div><div>Previous studies have reported that the ‘Wink’ emoji <figure><img></figure> is considered an effective indicator of sarcasm in computer-mediated communication. However, few studies have compared the effects of different emojis on perceptions of sarcasm and available information about how emojis and relationships jointly affect perceptions of sarcasm. Thus, this study investigates how emojis and sender-receiver relationships influence the perception of sarcasm in ambiguous texts, whether positive or negative. A total of 127 Chinese participants rated sarcasm, unfriendliness, and humour across 36 communication scenarios (six emojis × three relationships × two sentence valences). The three-way analysis of variance results indicated that the use of the ‘Unamused’ emoji <figure><img></figure> significantly affects the sarcasm perception and emotional responses to ambiguous text replies, where it is an effective indicator of sarcastic criticism. The use of the ‘Wink’ emoji <figure><img></figure> affects sarcasm perceptions and emotional responses to ambiguous messages. In Eastern cultures, using a ‘Wink’ emoji <figure><img></figure> in positive ambiguous replies tends to reduce the sarcastic tone, which contrasts with the findings from Western contexts. The ‘Tears of joy’ <figure><img></figure>, ‘Smirk’<figure><img></figure>, and ‘Smiling’ <figure><img></figure>emojis provide only limited enhancement, resulting in ambiguous interpretations. In addition, the effects of relationship and sentence valence were significant for emotional perception. These findings may support clearer communication and more harmonious relationships.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"97 ","pages":"Article 102242"},"PeriodicalIF":7.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Trust in AI chatbots: A systematic review","authors":"Sheryl Wei Ting Ng , Renwen Zhang","doi":"10.1016/j.tele.2025.102240","DOIUrl":"10.1016/j.tele.2025.102240","url":null,"abstract":"<div><div>Advancements in artificial intelligence (AI) have enabled increasingly natural and human-like interactions with conversational agents (chatbots). However, the processes and outcomes of trust in AI chatbots remain underexplored. This study provides a systematic review of how trust in AI chatbots is defined, operationalised, and studied, synthesizing factors influencing trust development and its outcomes. An analysis of 40 articles revealed notable variations and inconsistencies in trust conceptualisations and operationalisations. Predictors of trust are categorized into five groups: user, machine, interaction, social, and context-related factors. Trust in AI chatbots leads to diverse outcomes that span affective, relational, behavioural, cognitive, and psychological domains. The review underscores the need for longitudinal studies to better understand the dynamics and boundary conditions of trust development. These findings offer valuable insights for advancing human–machine communication (HMC) research and informing the design of trustworthy AI systems.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"97 ","pages":"Article 102240"},"PeriodicalIF":7.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}