Telematics and Informatics最新文献_第4页

Algorithm to emotion: a three-stage model of user acceptance for AI-generated news platforms 从算法到情感：人工智能新闻平台用户接受度的三阶段模型

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-08-09 DOI: 10.1016/j.tele.2025.102312

Ke Zhang, Yuchen Xie, Wangjing Han, Dandan Zhang, Yan Quan

With the rapid development of AI, Users’ acceptance of intelligent recommendation technology on news platforms directly affects the effectiveness and sustainability of using intelligent recommendation AI news. This study investigates user acceptance of AI-driven news recommendation platforms by applying the Artificial Intelligent Device Use Acceptance (AIDUA) model. Through a survey of 1,100 users, we examine how six AI-specific factors—social influence, perceived novelty, intelligence, accuracy, transparency, and fairness—shape performance expectancy and effort expectancy, ultimately influencing acceptance decisions. Results reveal that all six factors positively impact performance expectancy, while social influence, accuracy, transparency, and fairness reduce effort expectancy. Notably, perceived accuracy (β = 0.200) exerts the strongest effect, underscoring content quality as a critical driver of trust. Emotion mediates between cognitive evaluations and behavioral outcomes, with positive emotions enhancing acceptance and negative emotions amplifying resistance. The study advances theoretical understanding by extending the AIDUA model to AI journalism, highlighting the dual-path role of cognitive and affective evaluations.

随着人工智能的快速发展，新闻平台用户对智能推荐技术的接受程度直接影响到智能推荐AI新闻使用的有效性和可持续性。本研究通过应用人工智能设备使用接受度（AIDUA）模型来调查人工智能驱动的新闻推荐平台的用户接受度。通过对1100名用户的调查，我们研究了6个特定于人工智能的因素——社会影响力、感知新颖性、智力、准确性、透明度和公平性——如何塑造绩效预期和努力预期，最终影响接受决策。结果表明，所有六个因素都对绩效预期产生积极影响，而社会影响力、准确性、透明度和公平性会降低努力预期。值得注意的是，感知准确性（β = 0.200）发挥了最强的作用，强调内容质量是信任的关键驱动因素。情绪在认知评价和行为结果之间起中介作用，积极情绪增强接纳，消极情绪放大抗拒。该研究通过将AIDUA模型扩展到人工智能新闻，突出了认知和情感评估的双重路径作用，从而推进了理论认识。

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引用次数: 0

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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

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

Seo Yoon Lee , Weizi Liu

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.

本研究旨在探索生成式人工智能对公众对错误信息作为来源和事实核查者的信念的影响，并研究人工智能素养和对人工智能的信任等个人因素如何影响这些感知。该研究进行了两项在线实验，重点关注健康和营养问题。第一个实验评估了与传统互联网来源相比，生成人工智能作为错误信息来源对公众信念的影响是否不同。第二个实验评估了生成式人工智能作为事实核查员与人类事实核查员的有效性。结果显示，当生成人工智能与其他互联网资源呈现错误信息时，对错误信息的信念没有显着差异。然而，人类事实核查员被认为比他们的人工智能同行更值得信赖，尤其是健康和营养问题，证实了消极的机器启发式。值得注意的是，对人工智能的信任程度显著影响了参与者对人工智能生成的事实核查的接受程度，尤其是关于母乳喂养和儿童智力的说法。这项研究有助于正在进行的关于人工智能在错误信息管理中的作用的讨论，突出了技术创新与人类认知偏见之间复杂的相互作用。

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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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

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

Li Liu , Shixiong Sheng , Siu Shing Man

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.

虚拟流媒体的兴起加剧了与传统真人流媒体的竞争，因此有必要深入了解影响用户购买意愿的因素。本研究探讨了自我满意度、社会影响力、兼容性、感知有用性、信任和情感联系如何影响直播平台上的消费者行为。采用问卷调查的方式，运用结构方程模型和两项研究来检验变量之间的关系。研究发现，感知有用性显著增强了用户的使用态度和使用意愿，最终推动了用户的购买意愿。兼容性和社会影响正向影响感知易用性和感知有用性，促进采用。自我满意不直接影响购买意愿，但通过信任和情感联系产生间接影响。这些结果强调了信任和情感参与在消费者决策中的关键作用，为优化用户体验、培养信任和提高直播平台的转化率提供了战略见解。

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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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

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

Jintao Lu , Yezhuo Zhang , Eunil Park , Malin Song

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.

平台公司对算法的不道德使用损害了消费者的权利，但一些消费者继续在歧视用户的平台上花钱。现有文献并没有完全理解消费者使用涉及算法价格歧视的平台的完整动机。为了探究平台算法价格歧视对消费者购买意愿影响的内在机制和边界条件，我们选取了在2024年1月至2024年5月期间在中国最近一年使用过网购的494名消费者进行了多时间点调查。基于理性选择理论与期望违背理论的整合视角，从道德推理过程和边界条件的角度考察了算法价格歧视对消费者购买意愿的中介机制。结果表明：算法价格歧视损害了消费者的购买意愿；道德解耦在算法价格歧视与消费者购买意愿之间起中介作用；能力信任和商誉信任在算法价格歧视和道德脱钩之间具有显著的调节作用。本研究得出的结论不仅揭示了算法价格歧视影响消费者购买意愿的机制，而且为平台监管机构如何维护消费者权益、平台管理者如何有效弥补算法价格歧视问题带来的负面影响提供了重要的战略见解。

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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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

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

Xinyan Zhao , Chau-Wai Wong

Digital technologies and algorithms are transforming how we consume health information. Extending the selectivity paradigm with research on social media engagement and algorithmic impact, this study investigates how individuals’ liked TikTok videos on various health-risk topics are associated with their vaping and drinking behaviors. We combine survey self-reports with computational analysis of TikTok videos from 2020 to 2023 (N = 13,724) to objectively assess the behavioral impact of selective engagement among consented respondents (N = 166). Our findings indicate that users who initially liked drinking-related content on TikTok are inclined to favor more of such videos over time, with their likes on smoking, drinking, and fruit and vegetable videos affecting their self-reported vaping and drinking behaviors. Findings highlight the value of data linkage for studying longitudinal social media effects and the need to address the influence of algorithm-driven digital content on risky health behaviors.

数字技术和算法正在改变我们消费健康信息的方式。本研究通过对社交媒体参与度和算法影响的研究，扩展了选择性范式，调查了个人对各种健康风险主题的TikTok视频的喜欢与他们的电子烟和饮酒行为之间的关系。我们将调查自我报告与2020年至2023年（N = 13,724）的TikTok视频的计算分析相结合，客观评估了同意受访者（N = 166）选择性参与的行为影响。我们的研究结果表明，最初喜欢TikTok上与饮酒相关内容的用户倾向于随着时间的推移更喜欢这类视频，他们对吸烟、饮酒、水果和蔬菜视频的喜欢影响了他们自我报告的吸烟和饮酒行为。研究结果强调了数据链接对于研究纵向社交媒体效应的价值，以及解决算法驱动的数字内容对危险健康行为的影响的必要性。

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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

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

Asta Zelenkauskaite , Peter English

Global events attract widespread attention not only from fans who go to see the games but also from online users. Yet, the staging of such events can also overlap with a range of events: international issues occurring at the same time or promotion or selling of services that can be typically classified as spam. This study uncovers how hashtag spamming can overshadow a major global sporting event. By focusing on hashtags unrelated to the FIFA Women’s World Cup 2023 and employing mixed methods approaches, we focused on how hashtags were hijacked to promote causes that were irrelevant to the Women’s World Cup, and served as arenas for visibility of spam. The results of this study reflect how unrelated content can hijack elements of a media event and reveal the mechanisms utilized to highlight how this occurs.

全球赛事不仅吸引了去观看比赛的球迷，也吸引了网络用户的广泛关注。然而，此类事件的举办也可能与一系列事件重叠：同时发生的国际问题或通常可归类为垃圾邮件的服务的促销或销售。这项研究揭示了垃圾标签是如何给一项重大的全球体育赛事蒙上阴影的。通过关注与2023年女足世界杯无关的话题标签，并采用混合方法，我们重点关注了话题标签如何被劫持，以促进与女足世界杯无关的事业，并成为垃圾邮件可见性的场所。本研究的结果反映了不相关的内容如何劫持媒体事件的元素，并揭示了用来强调这种情况如何发生的机制。

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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

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

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 (N = 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.

在数字时代，社交媒体的互联性加速了信息、知识和思想的交流。然而，它也放大了仇恨言论的传播。尽管用户生成内容被认为是解决网络仇恨言论的潜在方法，但它也带来了效率低下、错误率和用户道德风险等挑战。因此，本研究关注的是人工智能生成的反言论对社交媒体上面对仇恨言论的用户参与意愿的影响。通过一项试点研究和三个实验（N = 809），我们实证地证明了人工智能生成反语音的有效性。研究1表明，与没有反击的仇恨言论相比，有反击言论存在时，参与者更愿意参与其中。研究2表明，基于同理心的反言论比基于事实的反言论更能吸引用户参与，人工智能生成的反言论对用户参与意愿的影响更大。研究3表明，当人工智能身份未被披露时，参与者更愿意参与人工智能生成的反言论。感知信任在生成器类型和身份披露对用户粘性的影响中起中介作用。我们的研究结果为人工智能在在线仇恨言论治理中的应用提供了经验证据，并为社交媒体平台提供了实用的见解。

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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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

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

Changyong Liang , Yuguang Xie , Peiyu Zhou

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.

随着数字技术的发展，以数字形式复活死者的技术“数字复活”受到了越来越多的关注。然而，尽管它有潜在的好处，消费者的抵制仍然是广泛采用的一个重大障碍。虽然先前的研究强调了技术和道德方面的考虑，但对消费者抵制的关注较少。本研究通过运用创新阻力理论探讨数字复活技术阻力的关键因素，填补了这一空白。具体来说，我们探讨了功能、心理和社会障碍对消费者抵抗的作用，并研究了与死者的信息熟悉和亲密关系的调节作用。通过对319份调查问卷的逐步层次回归分析，我们的研究结果表明，价值观、风险、传统、形象障碍和社会规范是消费者抵制的重要驱动因素。此外，信息熟悉降低了价值障碍对抵抗的影响，而与死者的亲密关系降低了传统障碍对抵抗的影响。本研究将创新抗拒理论延伸至数位复活，并纳入社会规范，为消费者抗拒机制提供更深入的洞见。这些发现为技术开发人员和营销人员更好地理解和减少采用数字复活的障碍提供了实际意义。

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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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

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

Zicheng Zhu, Renwen Zhang, Alex Mitchell

Excessive media use has long been the focus of communication research. Yet most research focuses on the role of individual traits or technological affordances in explaining excessive media use (e.g., gaming), while overlooking the influence of contexts. Drawing on the social-ecological theory, we explore how contexts shape people’s excessive gaming and how players exercise their agency to navigate these contextual influences. Through in-depth interviews with 44 Chinese game players, our study suggests that people’s availability and access to games, social networks, and gameplay experiences dynamically shape their excessive gaming. People also proactively combat excessive gaming by altering their gameplay availability, negotiating with their social networks, and re-appropriating gameplay experiences. These findings highlight the contextual nature of excessive gaming, and the role of context transformation, in which people exercise agency in negotiating with contexts to counter the downsides of media use.

媒体的过度使用一直是传播学研究的焦点。然而，大多数研究都侧重于解释过度媒体使用（如游戏）时个人特征或技术支持的作用，而忽略了环境的影响。根据社会生态学理论，我们探讨了情境如何塑造人们的过度游戏，以及玩家如何运用他们的代理来驾驭这些情境影响。通过对44名中国游戏玩家的深度访谈，我们的研究表明，人们对游戏的可用性和访问，社交网络和游戏体验动态地塑造了他们的过度游戏。人们还会通过改变游戏玩法可用性、与社交网络协商、重新利用游戏体验等方式主动对抗过度游戏。这些发现强调了过度游戏的情境本质，以及情境转换的作用，即人们在与情境协商时行使代理，以对抗媒体使用的负面影响。

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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

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

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

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.

社交媒体平台越来越多地使用算法个性化，引发了人们对潜在的不受控制的使用的担忧。然而，这些担忧在一定程度上仍然是推测性的，因为算法个性化在推动用户参与度方面的有效性证据有限。因此，本研究调查了如果TikTok用户的feed不再根据他们的兴趣进行个性化，他们的行为和体验将如何变化。在这项预先注册的研究中，88名TikTok用户参加了为期两周的主题内设计：基线周（默认的高度个性化的消息源），然后是实验周（不那么个性化的消息源）。通过日常调查评估日常体验，通过截图获取客观的TikTok使用数据。我们发现，TikTok的每日使用频率和持续时间都减少了，自我调节能力增强了，参与者从使用中获得的乐趣减少了。这些发现强调了算法个性化在维持用户参与度方面的关键作用，并表明减少feed个性化可能是解决不受控制的社交媒体使用的一种有前途的方法，尽管目前有限。

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引用次数: 0