Telematics and Informatics最新文献

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Attitudes, experiences, and usage intentions of artificial intelligence: A population study in Germany

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-03-11 DOI: 10.1016/j.tele.2025.102265

Timo Gnambs , Jan-Philipp Stein , Sabine Zinn , Florian Griese , Markus Appel

Artificial intelligence (AI) increasingly affects individuals’ private and professional lives. Importantly, both the acceptance and adoption of new AI technologies in society is heavily impacted by the attitudes that people hold; yet, there is currently limited information on how people perceive and intend to use AI at the national and demographic levels. Therefore, this study examined a random sample of 1,098 German adults to assess their attitudes, experiences, and usage intentions regarding AI in work, healthcare, and education. The findings indicated that respondents generally held favorable attitudes towards AI, with AI applications in healthcare receiving more positive evaluations than AI in the context of work. Moreover, cognitive evaluations of AI were more positive than emotional or behavioral appraisals. Prior experiences with AI were, however, limited, particularly in healthcare and education. Demographic differences were generally small. Taken together, these findings demonstrate that, in Germany, AI is currently widely accepted in different domains, although most people have little first-hand experience with it. These insights can inform policymakers and stakeholders who care about the proliferation of AI in society.

人工智能（AI）越来越多地影响着个人的私人生活和职业生活。重要的是，社会对新人工智能技术的接受和采用在很大程度上受到人们所持态度的影响；然而，目前有关人们如何看待和打算在国家和人口层面使用人工智能的信息十分有限。因此，本研究对 1,098 名德国成年人进行了随机抽样，以评估他们在工作、医疗保健和教育领域对人工智能的态度、体验和使用意向。研究结果表明，受访者普遍对人工智能持赞成态度，其中医疗保健领域的人工智能应用比工作领域的人工智能获得了更积极的评价。此外，对人工智能的认知评价比情感或行为评价更为积极。不过，受访者以前使用人工智能的经验有限，尤其是在医疗保健和教育领域。人口统计学差异一般较小。综上所述，这些研究结果表明，在德国，尽管大多数人对人工智能的亲身体验很少，但人工智能目前已在不同领域被广泛接受。这些见解可以为关心人工智能在社会中普及的政策制定者和利益相关者提供参考。

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引用次数: 0

Exploring the competitive market structure of digital-based subscription economy: The empirical investigation of South Korea

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-03-09 DOI: 10.1016/j.tele.2025.102264

Dongnyok Shim , Yunwoo Choi , Changjun Lee

The digital-based subscription economy has experienced rapid growth and diversification, yet existing research predominantly focuses on single-service adoption factors, failing to capture the complexity of multi-service consumer behavior. This study aims to provide a comprehensive analysis of the digital-based subscription economy in South Korea by examining the interrelationships between various subscription services and identifying distinct consumer segments. Utilizing data from the 2022 Korea Media Panel Survey, we employ Multivariate Probit (MVP) and Latent Class Model (LCM) analyses, to elucidate the correlations among service types and ascertain patterns of concurrent or substitutive usage. Our findings reveal a clear hierarchy of preferences, with Subscription Video on Demand (SVOD) emerging as the most preferred option, followed by music streaming, newsletters, e-books, educational content, and knowledge information services. The MVP analysis also uncovers significant negative correlations between SVOD and other content types, suggesting a potential substitution effect, while positive correlations are observed among newsletters, music streaming, and e-book services, indicating complementary relationships. The LCM analysis identifies three distinct consumer segments: “News-centric Subscribers,” “Diverse Content Consumers,” and “SVOD Enthusiasts,” each characterized by unique subscription patterns and demographic profiles. This study contributes to the literature by developing a comprehensive framework for understanding multi-service adoption in the digital content subscription market, challenging traditional single-service adoption models. Our findings also have significant implications for content providers and marketers, offering insights for developing targeted bundling strategies and demographic-based marketing approaches.

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引用次数: 0

Communicative AI in the scientific public sphere: An analysis of Twitter discourse on generative AI tools

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-03-08 DOI: 10.1016/j.tele.2025.102261

Jiyoun Suk , Yini Zhang , Jiawei Liu , Yukyung Yang

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.

本研究借鉴科学公共领域的概念，考察了公众在社交媒体上对交流型人工智能（如生成型人工智能）的感性认识。我们分析了全球推特（now X）上关于生成式人工智能工具的对话，并推进了一个包含认知（技术与使用）和情感（积极与消极）两个维度的框架，来讨论交流式人工智能。研究结果表明，文本生成器（ChatGPT）的讨论更侧重于以技术为中心的主题，而图像生成器的讨论则强调其用途。在与技术相关的讨论中，人们对 ChatGPT 的看法不一，而对其用途的看法则更为积极。本文讨论了理论和实践意义。

引用次数: 0

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

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-03-08 DOI: 10.1016/j.tele.2025.102263

Bolin Cao, Chuanqin Wen

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.

引用次数: 0

Aging in the digital age: Exploring the relationship between Internet use and age identity among Chinese older adults

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-02-26 DOI: 10.1016/j.tele.2025.102260

Ke Shen, Huilin Sun

Digital technology in China has advanced rapidly over the past two decades. Traditionally viewed as resistant to new technology, Chinese older adults are challenging these stereotypes and actively engaging in the digital age. The study aims to examine how the use of Internet is associated with age identity among older adults, and how the association varies across sociodemographic groups. This study employs the fixed-effects model to analyze the panel data of 5460 respondents in 2018 and 2020 waves of China Longitudinal Aging Social Survey. The results show that Internet use, particularly daily use of Internet, is positively associated with a younger age identity measured by perceived old age, felt age, and appearance age. Online communication and entertainment show positive linkage with age identity, while no similar relationship is observed for online life services. This study utilizes the development of information technology industry and Internet penetration rate of older respondents at the city level as instrumental variables to address the potential endogeneity bias. The mediation analyses reveal that Internet use enables older adults to improve participation in offline social activities, to promote their social adaptation, and also to reduce the likelihood of feeling worthless, thus leading to a positive perception of aging. Moreover, the benefits of Internet use are more pronounced for female, younger, urban, and better-educated older adults. Our study has established the Internet as a valuable resource for successful aging, and it is thus crucial to bridge the digital divide by designing age-friendly digital products and enhancing older adults’ digital literacy.

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引用次数: 0

Visualizing support: Exploring emoji usage in online support groups through the lens of symbolic interactionism

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-02-17 DOI: 10.1016/j.tele.2025.102252

Zizhong Zhang , Yue Luo

This study explores the role of emojis in online support groups for mental health, focusing on depression and anxiety communities, through the lens of symbolic interactionism. By employing social network analysis and structural topic modeling, the research examines how users deploy emojis in different thematic contexts and how reciprocal emoji interactions form a communication network that fosters social support. The findings reveal that emojis serve not only as emotional expressions but also as tools for conveying empathy, encouragement, and help-seeking behaviors. Additionally, emojis are associated with emotional disclosure in online communities, supporting the communication of vulnerable topics. This study highlights the potential of emojis in enhancing digital health interventions, providing new insights into the non-verbal communication strategies employed in online support groups. It also offers practical implications for platform design and community management to improve user engagement and social support mechanisms.

本研究通过符号互动论的视角，以抑郁和焦虑社区为重点，探讨了表情符号在心理健康在线支持小组中的作用。通过采用社会网络分析和结构主题建模，研究探讨了用户如何在不同主题背景下使用表情符号，以及互惠的表情符号互动如何形成一个促进社会支持的交流网络。研究结果表明，表情符号不仅是情感表达的工具，也是传递同情、鼓励和寻求帮助行为的工具。此外，表情符号还与网络社区中的情感披露有关，支持脆弱话题的交流。本研究强调了表情符号在加强数字健康干预方面的潜力，为了解在线支持团体中使用的非语言交流策略提供了新的视角。它还为平台设计和社区管理提供了实际意义，以提高用户参与度和社会支持机制。

引用次数: 0

Am I watching or being watched? Exploring the selective disclosure paradox in users’ self-censorship to dataveillance awareness in video recommender systems

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-02-15 DOI: 10.1016/j.tele.2025.102253

Jooyoung Kim, Hangjung Zo

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.

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引用次数: 0

Traumatizing, growing, or both? Exploring the role of social media in communal coping during vicarious traumatization

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-02-12 DOI: 10.1016/j.tele.2025.102251

Geyi Wang , Jo-Yun Li , Yeunjae Lee

Social media now plays a vital role in disseminating information about traumatic events, leading to vicarious traumatization that individuals do not directly experience. However, social media platforms also provide individuals opportunities for coping with stressors. To understand how coping strategies extend beyond individual level in the face of widespread vicarious traumatization on social media, this study adopts the communal coping theory and the theoretical model of communal coping (ETMCC) to explore individuals’ perception and coping mechanisms. Specifically, our research focuses on the Itaewon crowd crush as a case study to examine how social media vicarious traumatization can serve as a stressor, eliciting communal coping process. This study surveyed 410 Koreans, with an average age of 28.8, who regularly use social media. The results support the applicability of the ETMCC framework in the context of vicarious traumatization, showing social media’s dual role in both triggering and alleviating trauma. Participants engaged in various social media coping strategies and perceived communal coping through online interactions. The findings highlight how social media behaviors can foster posttraumatic growth, offering valuable insights for community recovery after trauma.

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引用次数: 0

Populist radical-right attitudes, media trust, and social media reliance: Combining survey and tracking data to investigate predictors of online exposure to disinformation

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-02-11 DOI: 10.1016/j.tele.2025.102250

Clara Christner , Mykola Makhortykh , Teresa Gil-Lopez

Despite the conceptual affinity of right-wing populism and disinformation, we know little about whether populist radical-right (PRR) attitudes impact exposure to disinformation online. Previous research indicates that individual characteristics and media use affect the likelihood of being exposed to (more) disinformation. However, few studies examined the effect of PRR attitudes on exposure to disinformation. Further, previous studies show limitations with regard to the measurement of actual online exposure to disinformation. For this study, we used a novel approach to understand how PRR attitudes, media trust and social media usage affect online exposure to disinformation in the beginning of the corona pandemic. We combined survey and tracking data on individual online information behavior of N = 594 participants from Germany. To identify disinformation in the tracking data, we developed a hybrid machine-human approach combining automated classification of disinformation with hand-coding. Findings show very low average online exposure to disinformation, but high concentration among a small group of individuals and websites. Higher levels of PRR attitudes, trust in non-traditional media, reliance on social media for political information, and lower levels of education predicted a higher online exposure to disinformation.

尽管右翼民粹主义和虚假信息在概念上很接近，但我们对民粹激进右翼（PRR）的态度是否会影响网络虚假信息的接触知之甚少。以往的研究表明，个人特征和媒体使用会影响接触（更多）虚假信息的可能性。然而，很少有研究探讨了激进右翼分子的态度对接触虚假信息的影响。此外，以往的研究在测量网上实际接触虚假信息的情况方面也存在局限性。在本研究中，我们采用了一种新颖的方法来了解在日冕大流行初期，PRR 的态度、媒体信任度和社交媒体的使用是如何影响网络虚假信息曝光的。我们结合了对德国 N = 594 名参与者的个人在线信息行为的调查和跟踪数据。为了识别跟踪数据中的虚假信息，我们开发了一种机器-人工混合方法，将虚假信息的自动分类与手工编码相结合。研究结果表明，虚假信息的平均在线曝光率很低，但却高度集中于一小部分个人和网站。较高的政治关系态度、对非传统媒体的信任、对社交媒体政治信息的依赖以及较低的教育水平都预示着较高的虚假信息在线曝光率。

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引用次数: 0

Who wants to be a YouTuber? Personality traits predict the desire to become a social media influencer

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-02-06 DOI: 10.1016/j.tele.2025.102248

Michal Misiak , Arkadiusz Urbanek , Tomasz Frackowiak , Piotr Sorokowski

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.

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