Telematics and Informatics最新文献

Exploring generative AI in the misinformation Era: Impacts as a misinformation source and fact-checker on belief in the information 在错误信息时代探索生成式人工智能：作为错误信息来源和事实核查者对信息信念的影响

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2025-07-26 DOI: 10.1016/j.tele.2025.102308

Seo Yoon Lee , Weizi Liu

{"title":"Exploring generative AI in the misinformation Era: Impacts as a misinformation source and fact-checker on belief in the information","authors":"Seo Yoon Lee , Weizi Liu","doi":"10.1016/j.tele.2025.102308","DOIUrl":"10.1016/j.tele.2025.102308","url":null,"abstract":"<div><div>This research aims to explore the impact of generative AI on public belief in misinformation both as a source and as a fact-checker, and to examine how individual factors such as AI literacy and trust in AI influence these perceptions applying machine heuristics. The study conducted two online experiments focusing on health and nutrition issues. The first experiment assessed whether generative AI as a source of misinformation influences public belief differently compared to traditional internet sources. The second experiment evaluated the effectiveness of generative AI in the role of a fact-checker compared to human fact-checkers. The results reveal no significant differences in the belief in misinformation when it was presented by generative AI versus other internet sources. However, human fact-checkers were found to be perceived as more trustworthy than their AI counterparts especially health and nutrition issues, confirming negative machine heuristic. Notably, the level of trust in AI significantly affected participants’ acceptance of AI-generated fact-checking, particularly concerning claims about breastfeeding and child intelligence. This study contributes to the ongoing discourse on the role of AI in misinformation management, highlighting the complex interplay between technological innovations and human cognitive biases.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"101 ","pages":"Article 102308"},"PeriodicalIF":7.6,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713462","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}

引用次数: 0

Trust, emotion, and purchase: why human streamers still matter in the age of virtual commerce 信任、情感和购买：为什么人类主播在虚拟商业时代仍然很重要

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2025-07-19 DOI: 10.1016/j.tele.2025.102307

Li Liu , Shixiong Sheng , Siu Shing Man

{"title":"Trust, emotion, and purchase: why human streamers still matter in the age of virtual commerce","authors":"Li Liu , Shixiong Sheng , Siu Shing Man","doi":"10.1016/j.tele.2025.102307","DOIUrl":"10.1016/j.tele.2025.102307","url":null,"abstract":"<div><div>The rise of virtual streamers has intensified competition with traditional human streamers, necessitating a deep understanding of factors influencing user purchase intentions. This study explored how self-satisfaction, social influence, compatibility, perceived usefulness, trust, and emotional connection shape consumer behavior in live-streaming platforms. A survey questionnaire was administered, and structural equation modeling was utilized along with two studies to examine the relationships between the variables. The findings revealed that perceived usefulness significantly enhances user attitude and intention to use, ultimately driving purchase intention. Compatibility and social influence positively influence perceived ease of use and perceived usefulness, fostering adoption. While self-satisfaction does not directly affect purchase intention, it exerts an indirect influence via trust and emotional connection. These results highlighted the pivotal roles of trust and emotional engagement in consumer decision-making, offering strategic insights for optimizing user experience, fostering trust, and improving conversion rates on live-streaming platforms.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"101 ","pages":"Article 102307"},"PeriodicalIF":7.6,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680207","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}

引用次数: 0

Would you shop on a platform that discriminates against users? A study on the impact of algorithmic price discrimination on consumer purchase intention 你会在一个歧视用户的平台上购物吗？算法价格歧视对消费者购买意愿的影响研究

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2025-07-13 DOI: 10.1016/j.tele.2025.102306

Jintao Lu , Yezhuo Zhang , Eunil Park , Malin Song

{"title":"Would you shop on a platform that discriminates against users? A study on the impact of algorithmic price discrimination on consumer purchase intention","authors":"Jintao Lu , Yezhuo Zhang , Eunil Park , Malin Song","doi":"10.1016/j.tele.2025.102306","DOIUrl":"10.1016/j.tele.2025.102306","url":null,"abstract":"<div><div>The immoral use of algorithms by platform companies has damaged to consumer rights, yet some consumers continue to spend money on platforms that discriminate against users. The existing literature does not fully understand consumers’ complete motivations for using platforms that engage in algorithmic price discrimination. To explore the intrinsic mechanism and boundary conditions of the impact of platform algorithmic price discrimination on consumer purchase intention, 494 consumers who have used online shopping in the last year in China from January 2024 to May 2024 were selected to participate in a multi-time point survey. Based on the integration perspective of the rational choice theory and the expectancy violation theory, from the perspective of the moral reasoning process and boundary conditions, the mediating mechanism between algorithmic price discrimination and consumer purchase intention was examined. Results show that algorithmic price discrimination harms consumer purchase intention; moral decoupling mediates the relationship between algorithmic price discrimination and consumer purchase intention; Competence trust and goodwill trust have significant moderating effects between algorithmic price discrimination and moral decoupling. The conclusions obtained from this study not only reveal the mechanism through which algorithmic price discrimination affects consumer purchase intention, and provide important strategic insights into how platform regulators can safeguard consumer rights, and how platform managers can effectively remedy the negative impact caused by the issue of algorithmic price discrimination.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"101 ","pages":"Article 102306"},"PeriodicalIF":7.6,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654822","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}

引用次数: 0

TikTok engagement traces over time and health risky behaviors: Combining data linkage and computational methods TikTok参与追踪时间和健康风险行为：结合数据链接和计算方法

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2025-07-05 DOI: 10.1016/j.tele.2025.102305

Xinyan Zhao , Chau-Wai Wong

引用次数: 0

Hashtags as attention seeking in a global event: Gender hijacking, spamming, and appeals to unrelated causes 话题标签在全球事件中引起关注：性别劫持，垃圾邮件，以及对不相关原因的呼吁

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2025-07-03 DOI: 10.1016/j.tele.2025.102303

Asta Zelenkauskaite , Peter English

引用次数: 0

Confront hate with AI: how AI-generated counter speech helps against hate speech on social Media? 用人工智能对抗仇恨：人工智能生成的反言论如何帮助对抗社交媒体上的仇恨言论？

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2025-07-03 DOI: 10.1016/j.tele.2025.102304

Chuanhui Wu , Yifan Wang , Yuchen Zhang , Houcai Wang , Yufei Pang

{"title":"Confront hate with AI: how AI-generated counter speech helps against hate speech on social Media?","authors":"Chuanhui Wu , Yifan Wang , Yuchen Zhang , Houcai Wang , Yufei Pang","doi":"10.1016/j.tele.2025.102304","DOIUrl":"10.1016/j.tele.2025.102304","url":null,"abstract":"<div><div>In the digital age, the interconnected nature of social media has accelerated the exchange of information, knowledge, and ideas. However, it has also amplified the spread of hate speech. Although user-generated content is considered a potential solution to online hate speech, it also presents challenges such as inefficiency, error rates, and ethical risks to users. Therefore, this study focuses on the impact of AI-generated counterspeech on user engagement intention to confront hate speech on social media. Through a pilot study and three experiments (<em>N</em> = 809), we empirically demonstrate the effectiveness of AI-generated counterspeech. Study 1 shows that participants are more willing to engage in counterspeech when it is present than in hate speech with no counterspeech. Study 2 reveals that empathy-based counterspeech elicits greater engagement than fact-based counterspeech and that AI-generated counterspeech has a stronger impact on user engagement intention. Study 3 indicates that participants are more willing to engage with AI-generated counterspeech when the AI identity is not disclosed. Perceived trust mediates the effects of generator types and identity disclosure on user engagement. Our findings provide empirical evidence of the application of AI in online hate speech governance and offer practical insights for social media platforms.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"101 ","pages":"Article 102304"},"PeriodicalIF":7.6,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144589228","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}

引用次数: 0

Why do you resist digital resurrection? Exploring the barriers affecting consumer resistance to digital resurrection technology 你为什么抵制数字复活？探索影响消费者对数字复活技术抵制的障碍

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2025-06-14 DOI: 10.1016/j.tele.2025.102302

Changyong Liang , Yuguang Xie , Peiyu Zhou

{"title":"Why do you resist digital resurrection? Exploring the barriers affecting consumer resistance to digital resurrection technology","authors":"Changyong Liang , Yuguang Xie , Peiyu Zhou","doi":"10.1016/j.tele.2025.102302","DOIUrl":"10.1016/j.tele.2025.102302","url":null,"abstract":"<div><div>With the advancement of digital technologies, digital resurrection, a technology that enables the recreation of deceased individuals in a digital form, has gained increasing attention. However, consumer resistance remains a significant barrier to widespread adoption despite its potential benefits. While prior studies have emphasized technical and ethical considerations, less focus has been placed on consumer resistance. This research fills that gap by employing the innovation resistance theory to explore the key factors driving resistance to digital resurrection technology. Specifically, we explore the role of functional, psychological, and social barriers on consumer resistance and examine the moderating roles of informational familiarity and intimacy with the deceased. Using stepwise hierarchical regression analyses on 319 survey responses, our results indicate that value, risk, tradition, image barriers, and social norms are significant drivers of consumer resistance. Moreover, informational familiarity reduces the impact of value barriers on resistance, while intimacy with the deceased reduces the impact of tradition barriers on resistance. This study extends innovation resistance theory to digital resurrection and incorporates social norms, providing deeper insights into the mechanisms of consumer resistance. The findings offer practical implications for technology developers and marketers to better understand and mitigate the barriers to adopting digital resurrection.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"101 ","pages":"Article 102302"},"PeriodicalIF":7.6,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291272","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}

引用次数: 0

Contextual influences and agency to transform context in excessive gaming: A social-ecological perspective 过度游戏中的情境影响和情境转换：社会生态学视角

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2025-06-12 DOI: 10.1016/j.tele.2025.102301

Zicheng Zhu, Renwen Zhang, Alex Mitchell

引用次数: 0

For you vs. for everyone: The effectiveness of algorithmic personalization in driving social media engagement 适合你vs.适合所有人：算法个性化在推动社交媒体参与方面的有效性

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2025-06-08 DOI: 10.1016/j.tele.2025.102300

Cynthia A. Dekker, Susanne E. Baumgartner, Sindy R. Sumter

{"title":"For you vs. for everyone: The effectiveness of algorithmic personalization in driving social media engagement","authors":"Cynthia A. Dekker, Susanne E. Baumgartner, Sindy R. Sumter","doi":"10.1016/j.tele.2025.102300","DOIUrl":"10.1016/j.tele.2025.102300","url":null,"abstract":"<div><div>Social media platforms increasingly use algorithmic personalization, raising concerns about potential uncontrolled usage. However, these concerns remain partly speculative as evidence for the effectiveness of algorithmic personalization in driving user engagement is limited. Therefore, the present study investigated how TikTok users’ behavior and experiences would change if their feeds were no longer personalized based on their interests. In this preregistered study, 88 TikTok users participated in a two-week within-subjects design: a baseline week (default highly personalized feed), followed by an experimental week (less personalized feed). Daily experiences were assessed through daily surveys, and objective TikTok usage data was obtained through screenshots. We found that both daily frequency and duration of TikTok use decreased, self-regulation increased, and participants derived less enjoyment from their use. These findings highlight the critical role of algorithmic personalization in sustaining user engagement and suggest that reducing feed personalization may be a promising, though currently limited, approach to address uncontrolled social media use.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"101 ","pages":"Article 102300"},"PeriodicalIF":7.6,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144263159","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}

引用次数: 0

From interface to inference: mapping the impact of generative artificial intelligence affordances on user risk perception 从界面到推理：映射生成人工智能功能对用户风险感知的影响

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2025-06-04 DOI: 10.1016/j.tele.2025.102299

Haoyu Zhao , Zhengbiao Han , Shuqi Yin , Nan yang , Preben Hansen

{"title":"From interface to inference: mapping the impact of generative artificial intelligence affordances on user risk perception","authors":"Haoyu Zhao , Zhengbiao Han , Shuqi Yin , Nan yang , Preben Hansen","doi":"10.1016/j.tele.2025.102299","DOIUrl":"10.1016/j.tele.2025.102299","url":null,"abstract":"<div><div>A deep understanding of Generative Artificial Intelligence (GAI) is crucial not only for technological development but also for formulating effective risk response strategies. However, previous studies have mainly focused on how individual factors affect GAI risk perception while the technical functions and features that are the root causes of user concerns regarding GAI remain unclear. To address this gap, the current study, grounded in affordance theory, explored how perceived affordances of GAI influenced user risk perceptions across six dimensions: information, security, technical, social, ethical, and legal. A hierarchical regression analysis was conducted on a survey of 1,031 GAI users to examine the impact of interactivity, agency, and security affordances on these risk dimensions. The results indicate that higher perceptions of affordances such as bandwidth, synchrony, and transparency are significantly associated with lower risk perceptions across all dimensions. Notably, women reported higher perceived risks than men in most categories, whereas age and GAI usage experience did not significantly affect these perceptions. These findings highlight the importance of enhancing user control, transparency, and privacy protections in GAI system design to effectively mitigate perceived risks. This study contributes to the literature by providing a multidimensional analysis of risk perception in the context of GAI, offering practical insights for the development of inclusive, transparent, and user-centered artificial intelligence systems.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"101 ","pages":"Article 102299"},"PeriodicalIF":7.6,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221409","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}

引用次数: 0