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":"2025-02-06","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":"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":"2025-02-04","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}
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":"2025-02-03","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}
{"title":"Artificial humanity: A multi-method exploration of user responses to AI influencer affordances in short video platform","authors":"Crystal T. Lee , Yung-Cheng Shen","doi":"10.1016/j.tele.2025.102245","DOIUrl":"10.1016/j.tele.2025.102245","url":null,"abstract":"<div><div>The advent of social media has led to the emergence of AI influencers. However, research on how affordances by AI influencers shape consumer perceptions remains limited. We addressed this gap by conducting a text-mining analysis of 12,467 user comments on social media related to AI influencers. In addition, we surveyed 978 followers of AI influencers, employing structural equation modeling (SEM) to delineate the affordances of AI influencers. The thematic analysis extracted four key AI affordances, namely modality, autonomy, guidance, and interactivity, that positively shape AI influencers’ perceived humanness and trust, which in-turn drives purchase intention and active engagement. These findings offer multi-method evidence on how the strategic use of AI affordances shapes consumer perceptions and behaviors in human-AI interactions.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"98 ","pages":"Article 102245"},"PeriodicalIF":7.6,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143225981","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":"The pursuit of online misinformation literacy: Understanding age-varying competence for misinformation recognition","authors":"Junyeong Lee , Jung Lee , Jinyoung Min","doi":"10.1016/j.tele.2024.102228","DOIUrl":"10.1016/j.tele.2024.102228","url":null,"abstract":"<div><div>Addressing online misinformation has become increasingly critical due to the widespread use of the Internet and social media. However, studies show conflicting results regarding competencies in recognizing misinformation across different age groups; thus, initiatives for misinformation literacy have not been as effective as anticipated. To reconcile this conflict and provide a strategy for supporting misinformation literacy, this study aims to explore how perceived competence in recognizing misinformation—comprising confidence and endeavor —varies among age groups and what factors influence this competence. Using data from a media panel survey in South Korea involving 9,060 participants, we found that younger adults exhibit higher confidence and endeavors in recognizing misinformation compared to older adults. Additionally, factors such as smart device usage capability and critical attitudes toward media content significantly influence misinformation recognition across all age groups, with varying impacts. Notably, social media use has contrasting effects as it decreases younger adults’ confidence and endeavors in misinformation recognition but enhances older adults’ confidence. Our findings provide key insights into the age-specific challenges and factors shaping misinformation literacy, emphasizing the importance of tailored educational programs that consider the diverse needs and behaviors of various age groups. These insights can help enhance the effectiveness of misinformation literacy initiatives in the digital age.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"97 ","pages":"Article 102228"},"PeriodicalIF":7.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183157","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}
{"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}
{"title":"Analyzing media bias in defense and foreign affairs: A deep learning and eXplainable artificial intelligence approach","authors":"Jungkyun Lee , Min Su Park , Eunil Park","doi":"10.1016/j.tele.2024.102227","DOIUrl":"10.1016/j.tele.2024.102227","url":null,"abstract":"<div><div>This study aims to investigate media bias in news articles related to defense and foreign affairs by applying deep learning models and eXplainable artificial intelligence (XAI) techniques. We collected and analyzed seven, representing five major Korean media outlets, from conservative and liberal perspectives. The objective is to classify political bias and identify the specific words that contribute to this classification. We employed the BERT-base model from the Korean Language Understanding Evaluation and used local interpretable model-agnostic explanations for a comprehensive analysis. Our methodology achieved a remarkable accuracy of 98.2% in classifying the political bias of news articles, demonstrating the model’s effectiveness. The findings revealed distinct biases in coverage and statements across the media outlets: conservative outlets were more likely to emphasize threats and use singular references, while liberal outlets preferred peaceful and inclusive language. This study provides valuable insights into how the political biases of news media influence both the topics covered and the language used, even within the same category and time frame, ultimately shaping public perception.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"97 ","pages":"Article 102227"},"PeriodicalIF":7.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183159","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}
Xiaoya Yang , Chen Luo , Yimeng Xu , Yifei He , Ruhan Zhao
{"title":"Unpacking cyberchondria: The roles of online health information seeking, health information overload, and health misperceptions","authors":"Xiaoya Yang , Chen Luo , Yimeng Xu , Yifei He , Ruhan Zhao","doi":"10.1016/j.tele.2024.102225","DOIUrl":"10.1016/j.tele.2024.102225","url":null,"abstract":"<div><div>Cyberchondria, the excessive search for health information online coupled with elevated health anxiety or concerns, has garnered growing scholarly attention recently. Anchored by the S-O-R (Stimulus-Organism-Response) model and information science literature, this study theorizes a pathway from online health information seeking via diverse sources (“S”) to cyberchondria (“R”) through health information overload and misperceptions (“O”). Structural equation modeling based on an online survey (<em>N</em> = 690) disclosed that health information overload was positively associated with searching for health information on online search engines and news media. Additionally, seeking health information from health-specific websites and online news media was positively tied to health misperceptions. Furthermore, increased health information overload was related to stronger health misperceptions, and they were both positively tied to cyberchondria. Theoretically, this study affords a more nuanced understanding of cyberchondria by zooming into the roles of seeking health information via different online sources. Besides, health misperceptions, as a relatively innovative predictor of cyberchondria, have been examined empirically. Practically, the findings furnish feasible strategies to optimize online platforms to mitigate the undesirable consequences of online health information consumption.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"97 ","pages":"Article 102225"},"PeriodicalIF":7.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183216","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":"Retire or get retired: Stocks, memes, and desperation capitalism on r/WallStreetBets","authors":"Albi Nani, Keegan McBride","doi":"10.1016/j.tele.2024.102195","DOIUrl":"10.1016/j.tele.2024.102195","url":null,"abstract":"<div><div>There is growing discontent with the financial services industry. The roots of these feelings are old but have expanded during the 2008 financial crisis and were enhanced by the COVID-19 pandemic and its associated cost of living crisis. This has given rise to the concept of “desperation capitalism”, where individuals are resorting to high-risk measures to try to achieve economic security. This research paper presents new insights into desperation capitalism and its participants through an exploratory case study of the r/WallStreetBets community on Reddit. The case study asks: how does social media impact the behaviour of retail investors? Drawing on multiple sources of primary and secondary empirical evidence, the paper makes two core contributions. First, the paper offers an initial conceptualization and model for understanding the phenomenon of “desperation capitalism”. Second, the paper demonstrates how the decision-making processes of retail investors can be influenced by social media.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"97 ","pages":"Article 102195"},"PeriodicalIF":7.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463508","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}