Telematics and Informatics Reports最新文献_第6页

Exploring the effect of ChatGPT-3 on biology students' lateral thinking skills: a mixed-methods study and impacts for ai-enhanced education 探讨ChatGPT-3对生物学学生横向思维能力的影响：一项混合方法研究及其对人工智能强化教育的影响

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-09-01 DOI: 10.1016/j.teler.2025.100249

Fatima Rahioui, Mohammed Ali Tahri Jouti, Mohammed EL Ghzaoui

The aim of this research is to analyze the influence of Artificial Intelligence (AI) on the lateral thinking skills of biology students and to provide guidance to teachers on how to effectively incorporate AI to foster lateral thinking in the classroom. This study involved 110 undergraduate students and utilized a mixed-methods approach, integrating both qualitative and quantitative methods to provide a comprehensive understanding. The Guilford Creative Thinking Test (GCT) was employed for data collection, evaluating four key dimensions: flexibility, fluency, elaboration, and originality. These dimensions were essential for assessing the impact of ChatGPT-3 on students' lateral thinking skills. In the course of this research, students were tasked with listing as many innovative biological energy sources as possible within a limited timeframe. Four weeks later, the same task was repeated, this time with the assistance of ChatGPT-3, allowing for a comparative analysis of both sets of responses. These results emphasize the necessity of strategically integrating AI into educational contexts using evidence-based frameworks. The study's findings indicate that Artificial Intelligence has a dual impact on lateral thinking. On one hand, it can foster creativity by introducing novel tools and perspectives. On the other hand, it may constrain original thought by reducing human interaction and imposing pre-defined cognitive frameworks, thereby limiting the exploration of diverse ideas. Based on the results of this study, it can be concluded that lateral thinking plays a critical role in learning process, as it encourages the development of students' skills and motivates them to explore creative and unconventional solutions to problems. The research findings are applicable to similar contexts with comparable conditions, where the adoption of AI influences idea generation. Additionally, the study provides recommendations for educators, instructional designers, and researchers in the field of educational technology.

本研究的目的是分析人工智能（AI）对生物学学生横向思维能力的影响，并为教师如何在课堂上有效地利用AI来培养横向思维提供指导。本研究涉及110名本科生，采用混合方法，结合定性和定量方法，以提供全面的了解。采用吉尔福德创造性思维测试（GCT）收集数据，评估四个关键维度：灵活性、流畅性、阐述性和独创性。这些维度对于评估ChatGPT-3对学生横向思维技能的影响至关重要。在这项研究的过程中，学生们的任务是在有限的时间内列出尽可能多的创新生物能源。四周后，同样的任务被重复，这次是在ChatGPT-3的帮助下，允许对两组反应进行比较分析。这些结果强调了使用循证框架将人工智能战略性地整合到教育环境中的必要性。研究结果表明，人工智能对横向思维有双重影响。一方面，它可以通过引入新颖的工具和视角来培养创造力。另一方面，它可能通过减少人与人之间的互动和强加预先定义的认知框架来限制原创思想，从而限制了对多样化思想的探索。根据本研究的结果，我们可以得出结论，横向思维在学习过程中起着至关重要的作用，因为它鼓励学生发展技能，激励他们探索创造性和非常规的解决问题的方法。研究结果适用于具有可比条件的类似背景，其中人工智能的采用影响了创意的产生。此外，本研究还为教育技术领域的教育工作者、教学设计师和研究人员提供了建议。

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引用次数: 0

Exploring customer stickiness toward banking chatbots: Focus on agility capability and emotional receptivity 探索客户对银行聊天机器人的粘性：关注敏捷性能力和情感接受能力

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-09-01 DOI: 10.1016/j.teler.2025.100247

Xuan Cu Le, Tran Hung Nguyen

Banking chatbots (BCs) are crucial to the banking sector. Therefore, this study aimed to illuminate customer satisfaction with and stickiness intention toward BCs by associating agility capability–related attributes and emotional receptivity with expectation confirmation theory (ECT). Agility capability portrays the ability to efficiently respond to changing market opportunities through the diffusion of new technologies like BCs. A questionnaire was designed and administered to a sample of 612 BCE users in Vietnam, who were recruited through convenience sampling. Then, structural equation modeling was conducted to verify the research model. Agility capability–related attributes (i.e., competence, responsiveness, and speed) were found to play critical roles in promoting BCs’ perceived usefulness, whilst flexibility was not a significant driver of perceived usefulness. The findings also underscored significant impacts among three ECT antecedents: confirmation, perceived usefulness, and satisfaction. Notably, perceived usefulness emerged as the strongest motivator of satisfaction and stickiness intention. Additionally, users’ stickiness intention and satisfaction with BCs were found to be fostered by perceived usefulness. Theoretically, this study contributes significantly to academia by integrating agility capability–related dimensions and emotional receptivity into ECT to elucidate users’ satisfaction with and stickiness toward BCs. Furthermore, this study is the first to empirically analyze and validate a research model for BC stickiness behavior.

银行聊天机器人（bc）对银行业至关重要。因此，本研究旨在通过将敏捷性能力相关属性和情绪接受性与期望确认理论联系起来，来解释顾客满意度和顾客粘性意向。敏捷能力描述了通过像bc这样的新技术的传播来有效响应不断变化的市场机会的能力。设计了一份调查问卷，并对越南612名BCE用户进行了调查，这些用户是通过方便抽样招募的。然后进行结构方程建模，对研究模型进行验证。研究发现，敏捷性能力相关的属性（即能力、响应能力和速度）在促进bc感知有用性方面发挥了关键作用，而灵活性并不是感知有用性的重要驱动因素。研究结果还强调了三个ECT前因的显著影响：确认、感知有用性和满意度。值得注意的是，感知有用性是满意度和粘性意图的最强动机。此外，用户的粘性意图和满意度被发现被感知有用性所促进。从理论上讲，本研究将敏捷性、能力相关维度和情感接受度整合到ECT中，以阐明用户对b2c的满意度和粘性，对学术界有重要贡献。此外，本研究首次对BC黏性行为的研究模型进行了实证分析和验证。

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引用次数: 0

A study of the privacy paradox amongst young adults in the United Arab Emirates 对阿联酋年轻人隐私悖论的研究

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-09-01 DOI: 10.1016/j.teler.2025.100248

Lena Yuryna Connolly , Michael Lang , Justin Giboney

The rapid digitalisation of society has significantly increased the collection and processing of personal data, raising concerns about individuals’ privacy. The privacy paradox, where individuals express privacy concerns yet continue to disclose personal information, has been widely studied in Western and Asian contexts, but remains underexplored in the Arab world. This study investigates privacy attitudes and behaviors in the United Arab Emirates (UAE), a region at the crossroads of traditional Islamic values and Western influences. Using survey data from 216 Emirati university students, we tested a model that incorporates five constructs: peer interaction and influence, desire for privacy, privacy concerns, perceived privacy risks, and desire for efficiency and convenience, which are drawn on Privacy Calculus Theory (PCT) and Antecedents–Privacy Concerns–Outcomes (APCO) framework. Our findings reveal contradictions in privacy behavior and highlight the selective and context-specific nature of privacy behaviours across technologies. These insights provide a nuanced understanding of privacy behaviors in a region undergoing significant regulatory and technological transitions, offering implications for policymakers and technology providers that seek to balance innovation with individuals’ privacy.

社会的快速数字化大大增加了个人数据的收集和处理，引起了对个人隐私的担忧。隐私悖论，即个人表达了对隐私的关注，但仍继续披露个人信息，在西方和亚洲已经得到了广泛的研究，但在阿拉伯世界仍未得到充分探讨。本研究调查了阿拉伯联合酋长国（UAE）的隐私态度和行为，该地区处于传统伊斯兰价值观和西方影响的十字路口。利用来自216名阿联酋大学生的调查数据，我们测试了一个模型，该模型包含五个结构：同伴互动和影响、对隐私的渴望、隐私关注、感知隐私风险以及对效率和便利的渴望，这些结构都是基于隐私微积分理论（PCT）和前因-隐私关注-结果（APCO）框架。我们的研究结果揭示了隐私行为的矛盾，并强调了跨技术隐私行为的选择性和情境特异性。这些见解提供了对正在经历重大监管和技术转型的地区隐私行为的细致理解，为寻求平衡创新与个人隐私的政策制定者和技术提供商提供了启示。

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引用次数: 0

A model for generative artificial intelligence in customer decision-making process using social interaction 基于社会互动的客户决策过程生成式人工智能模型

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-08-22 DOI: 10.1016/j.teler.2025.100237

Hodjat (Hojatollah) Hamidi

In light of the rapid and unpredictable developments in artificial intelligence (AI), there is a growing need for innovative marketing strategies that can expand market reach and effectively promote services. AI and social interaction have emerged as powerful tools in modern marketing, particularly through the use of social media platforms to enhance product awareness and drive customer engagement. This study investigates the factors influencing customer decision-making in relation to participation in Generative Artificial Intelligence (GAI)-based marketing. Drawing on prior research in the field, the study introduces a conceptual model incorporating key variables such as age, Internet usage, information quality, and information credibility. To examine the proposed model, a questionnaire was administered to students from universities in Tehran. The collected data were analyzed using appropriate statistical methods. The findings reveal that customer satisfaction and customer inertia significantly influence customer decisions to engage in smart marketing practices. Among the evaluated variables, information quality was identified as the most impactful factor, while Internet usage had the least influence. These results provide practical insights for marketers and researchers aiming to leverage GAI in customer-oriented strategies.

鉴于人工智能（AI）的快速和不可预测的发展，越来越需要创新的营销策略，以扩大市场范围并有效地促进服务。人工智能和社交互动已经成为现代营销中的强大工具，特别是通过使用社交媒体平台来提高产品知名度和推动客户参与度。本研究探讨了在基于生成式人工智能（GAI）的营销中影响顾客决策的因素。根据该领域先前的研究，本研究引入了一个包含关键变量的概念模型，如年龄、互联网使用、信息质量和信息可信度。为了检验提出的模型，对来自德黑兰大学的学生进行了问卷调查。采用适当的统计方法对收集到的数据进行分析。研究结果表明，顾客满意度和顾客惯性显著影响顾客参与智能营销实践的决策。在评估的变量中，信息质量被确定为影响最大的因素，而互联网使用的影响最小。这些结果为营销人员和研究人员在以客户为导向的战略中利用GAI提供了实用的见解。

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引用次数: 0

Tailoring digital transformation: A customized DESI framework for economic and societal growth 定制数字化转型：为经济和社会增长定制的DESI框架

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-08-21 DOI: 10.1016/j.teler.2025.100244

Mariza Tsakalerou, Bek Batyrbek, Adilet Bekzhan, Sara Askerova, Ayauzhan Khamitova, Jonathan Oluwapelumi Mobayo

As digital transformation reshapes economies worldwide, the ability to meaningfully assess digital readiness has become essential for strategic development. This study develops a context-sensitive digital readiness framework, the Kazakhstan Digital Readiness Index (KZ-DRI), adapted from the European Union's Digital Economy and Society Index (DESI), to evaluate digital transformation progress in Kazakhstan. Following a systematic framework development approach and grounded in both national indicators and enterprise-level data, the study addresses two core challenges: reducing redundancy in the original DESI structure and aligning the framework with Kazakhstan’s distinct socio-economic, institutional, and infrastructural context.

While the KZ-DRI framework reveals that Kazakhstan's overall digital readiness approximates the European average, disaggregated results expose sharp disparities across dimensions. The country demonstrates exceptional progress in digital public services, driven by early institutional prioritization and centralized implementation capacity. Conversely, persistent challenges in digital skills development and infrastructure underscore the need for targeted policy interventions to achieve balanced, inclusive digital growth.

This research contributes a systematically developed framework (KZ-DRI) that preserves international comparability while providing a replicable methodology for other emerging economies. By highlighting structural asymmetries and strategic leverage points, the study advances a roadmap for integrated, future-oriented digital governance—one capable of architecting economic competitiveness, societal resilience, and regional digital leadership.

随着数字化转型重塑全球经济，有效评估数字化准备情况的能力已成为战略发展的关键。本研究开发了一个上下文敏感的数字准备框架，即哈萨克斯坦数字准备指数（KZ-DRI），改编自欧盟的数字经济和社会指数（DESI），以评估哈萨克斯坦的数字转型进展。该研究采用系统的框架开发方法，以国家指标和企业级数据为基础，解决了两个核心挑战：减少原始DESI结构中的冗余，并使框架与哈萨克斯坦独特的社会经济、体制和基础设施背景保持一致。虽然KZ-DRI框架显示哈萨克斯坦的整体数字化准备程度接近欧洲平均水平，但分类结果显示各维度之间存在巨大差异。在早期的制度优先和集中实施能力的推动下，该国在数字公共服务方面取得了非凡的进展。相反，数字技能发展和基础设施方面的持续挑战凸显了有针对性的政策干预的必要性，以实现平衡、包容的数字增长。本研究提供了一个系统开发的框架（KZ-DRI），既保留了国际可比性，又为其他新兴经济体提供了可复制的方法。通过强调结构不对称和战略杠杆点，该研究提出了面向未来的综合数字治理路线图，该路线图能够构建经济竞争力、社会弹性和区域数字领导力。

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引用次数: 0

AI-powered body fluid cell classification: Development and validation using Roboflow and YOLOv11n framework 人工智能驱动的体液细胞分类：使用Roboflow和YOLOv11n框架开发和验证

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-08-18 DOI: 10.1016/j.teler.2025.100243

Sirinart Chomean , Noppmats Khemtonglang , Ekchol Mukda , Chollanot Kaset

Accurate classification of body fluid cells is crucial for diagnosing various medical conditions. Traditional manual methods are often time-consuming and subject to inter-observer variability. In this study, we developed and compared two AI-based classification models, YOLOv11n and Roboflow 3.0, for body fluid cell classification. A dataset comprising 12,966 cells across 14 distinct categories was used for training (70 %), validation (20 %), and testing (10 %). Expert consensus from three medical technologists ensured robust labeling, achieving a Fleiss’ Kappa of 0.877. Both models were validated against expert consensus on unseen images, with YOLOv11n achieving a Kappa of 0.932 and Roboflow 3.0 a Kappa of 0.930, indicating almost perfect agreement. The Roboflow 3.0 model demonstrated a mean average precision (mAP50) of 78.9 %, with a precision of 74.3 %, recall of 75.0 %, and F1 score of 74.6 %, while YOLOv11n achieved an mAP50 of 73.9 %, precision of 69.8 %, recall of 75.0 %, and F1 score of 72.3 %. Both models showed high accuracy for common cell types but faced challenges with rarer categories and in distinguishing between morphologically similar cells like macrophages and monocytes. Notably, these models offer a consistent and efficient tool for cell classification, providing an advantage for educational purposes and facilitating the reskilling of medical technologists in the application of AI in diagnostics.

体液细胞的准确分类对于诊断各种疾病至关重要。传统的手工方法往往是耗时的，并且受制于观察者之间的可变性。在本研究中，我们开发并比较了两种基于人工智能的体液细胞分类模型YOLOv11n和Roboflow 3.0。包含14个不同类别的12,966个单元的数据集用于训练（70%），验证（20%）和测试（10%）。来自三位医疗技术专家的专家共识确保了稳健的标签，实现了Fleiss的Kappa为0.877。根据专家对未见图像的共识对两种模型进行了验证，YOLOv11n的Kappa为0.932,Roboflow 3.0的Kappa为0.930，表明几乎完全一致。Roboflow 3.0模型的平均准确率（mAP50）为78.9%，准确率为74.3%，召回率为75.0%，F1评分为74.6%；YOLOv11n模型的平均准确率（mAP50）为73.9%，准确率为69.8%，召回率为75.0%，F1评分为72.3%。这两种模型对常见的细胞类型都显示出很高的准确性，但在识别更罕见的类别和形态学相似的细胞（如巨噬细胞和单核细胞）方面面临挑战。值得注意的是，这些模型为细胞分类提供了一致和有效的工具，为教育目的提供了优势，并促进了医疗技术人员在人工智能在诊断中的应用方面的再培训。

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引用次数: 0

From scrolling to buying: Role of beauty influencers on impulse buying a stimulus-organism-response perspective 从滚动到购买：从刺激-有机体-反应的角度看，美对冲动购买的影响

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-08-16 DOI: 10.1016/j.teler.2025.100239

Khalil Ahmad, Kashish Lilani

Impulse buying has garnered significant attention in the marketing field; however, there remains a gap in understanding this behavior on digital platforms. This study explores how beauty influencer’s personal characteristics on digital platforms contribute to impulse buying behavior in beauty industry. Grounded in the stimulus-organism-response (SOR) model, it examines how specific influencer characteristics act as external stimuli that influence perceived trust as a key psychological mechanism (organism), ultimately driving impulse buying behavior. A sample of 296 respondents was collected using a structured questionnaire. Consequently, Smart PLS 4 was employed to test the structural and measurement relationships between the constructs.

The empirical findings show that the stimuli, namely, influencers’ trustworthiness and informativeness, have a positive influence on an organism’s perceived trust and lead to impulse buying behavior. Other factors such as influencers’ trendiness, attractiveness, and expertise have a negative influence on an organism’s perceived trust and do not lead to impulse buying.

The findings provide beauty industry professionals with deeper insights into how beauty influencers can drive impulse buying behavior. This knowledge can be utilized to develop more effective influencer marketing strategies that capitalize on trust and trendiness to boost sales.

冲动购买在营销领域引起了极大的关注；然而，在理解数字平台上的这种行为方面仍然存在差距。本研究探讨数字平台上的美妆网红个人特征对美妆行业冲动购买行为的影响。在刺激-有机体-反应（SOR）模型的基础上，它研究了特定的影响者特征如何作为外部刺激，影响作为关键心理机制（有机体）的感知信任，最终驱动冲动购买行为。使用结构化问卷收集了296名受访者的样本。因此，采用Smart PLS 4来检验构式之间的结构和测量关系。实证结果表明，影响者的可信度和信息性对个体感知信任有正向影响，并导致冲动购买行为。其他因素，如网红的时尚、吸引力和专业知识，对有机体的感知信任有负面影响，不会导致冲动购买。这些发现为美容行业的专业人士提供了更深入的见解，让他们了解美妆网红是如何推动冲动购买行为的。这些知识可以用来制定更有效的影响者营销策略，利用信任和潮流来促进销售。

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引用次数: 0

Predictors and buying happiness outcome from cosmetic brands engagement on Instagram 化妆品品牌在Instagram上的参与度预测和购买幸福感的结果

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-08-15 DOI: 10.1016/j.teler.2025.100240

Helen Inseng Duh , Kebashnee Moodley

Driven by the platform’s interactive, visual, and dynamic nature, consumer brand engagement (CBE) on Instagram is emerging as a critical area of interest in digital marketing and consumer behaviour. Consumers engage with brands on Instagram and other social media platforms to form any or all of the three CBE dimensions of emotional, cognitive, and behavioural bonds with brands. Both marketing-related and consumer-related benefits can be gained from CBE, yet much remains unknown about the consumer-related benefits and predictors of CBE. The uses and gratification theory suggests that CBE, even on social media spaces, should generate personal/consumer benefits. CBE varies digitally depending on the subject (sample), object (brand type) and context (culture/country). Thus, guided by the uses and gratification theory, we examined how much South African consumers’ involvement and innovativeness impact the three dimensions of CBE with cosmetic brands on Instagram and the resultant buying happiness. Data was quantitatively collected from 203 middle-class consumers through snowballing sampling. The structural equation modelling results revealed that consumer involvement and innovativeness positively impacted all three dimensions of CBE. Except for the cognitive CBE dimension, the affection and activation CBE dimensions significantly predicted buying happiness. The demonstration from this study that psychological benefits are gained from social media CBE should strengthen social media brand positioning and consumer-brand relationships endeavours. Theoretically, literature on CBE, digital, relationship marketing and consumer behaviour is enriched.

受平台交互性、视觉性和动态性的推动，Instagram上的消费者品牌参与（CBE）正成为数字营销和消费者行为的一个关键领域。消费者在Instagram和其他社交媒体平台上与品牌互动，形成与品牌的情感、认知和行为这三个CBE维度中的任何一个或全部。与市场相关和与消费者相关的好处都可以从CBE中获得，但与消费者相关的好处和CBE的预测因素仍然未知。使用和满足理论表明，CBE，即使是在社交媒体空间，也应该产生个人/消费者利益。CBE的数字变化取决于主题（样本）、对象（品牌类型）和背景（文化/国家）。因此，在使用和满足理论的指导下，我们研究了南非消费者的参与和创新程度对Instagram化妆品品牌CBE的三个维度以及由此产生的购买幸福感的影响程度。通过滚雪球抽样的方法，对203名中产阶级消费者进行了定量收集。结构方程模型结果显示，消费者参与和创新对企业文化经营的三个维度均有正向影响。除认知CBE维度外，情感和激活CBE维度显著预测购买幸福感。本研究论证了社会化媒体带来的心理利益，CBE应加强社会化媒体品牌定位和消费者品牌关系的努力。理论上，CBE、数字化、关系营销和消费者行为方面的文献得到了丰富。

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引用次数: 0

Exploring the impact of customer reviews, website quality, perceived service quality, and product assortment on online purchase intention: The mediating role of trust 探讨顾客评价、网站质量、感知服务质量、产品分类对网上购买意愿的影响：信任的中介作用

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-08-14 DOI: 10.1016/j.teler.2025.100236

Jalal Rajeh Hanaysha , Hashem Ismail Ramadan , Khaled M.K. Alhyasat

Online retailers in the United Arab Emirates (UAE) face various challenges in acquiring and maintaining potential customers. This could be attributed to the intense competition in electronic commerce and lack of trust among several customers regarding the confidentiality of their personal information and product authenticity. In relation to that, examining the factors that influence online trust and purchase intention has become essential. The prime purpose of this study was to examine whether perceived service quality, customer reviews, product assortment, and website quality significantly influence online purchase intention. It also aimed to verify if trust mediates the relationships among them. The data was gathered from several customers of online retailers in the UAE via an online survey. To confirm the proposed hypotheses and make inferences, all responses were analyzed based on structural equation modeling approach using PLS-SEM. It was shown that trust positively influences online purchase intention. The results also demonstrated that trust and online purchase intention are positively affected by perceived service quality, customer reviews, product assortment, and website quality. Finally, the results confirmed that trust has a mediating effect among the aforementioned factors and online purchase intention. Given that there have been very few previous studies on these variables in the Middle East, the present research contributes to the literature by examining their impact on online purchase intention with empirical data from the retail sector in the UAE.

阿拉伯联合酋长国的在线零售商在获取和维护潜在客户方面面临着各种挑战。这可能是由于电子商务竞争激烈，一些客户对其个人信息的保密性和产品的真实性缺乏信任。与此相关，研究影响网络信任和购买意愿的因素变得至关重要。本研究的主要目的是探讨服务品质、顾客评论、产品分类和网站品质是否显著影响在线购买意愿。它还旨在验证信任是否调解了它们之间的关系。这些数据是通过在线调查从阿联酋在线零售商的几位客户那里收集的。为了验证所提出的假设和推论，所有响应都基于PLS-SEM结构方程建模方法进行分析。研究表明，信任正向影响在线购买意愿。结果还表明，信任和在线购买意愿受到感知服务质量、客户评论、产品分类和网站质量的积极影响。最后，研究结果证实了信任在上述因素与网络购买意愿之间具有中介作用。鉴于之前对中东地区这些变量的研究很少，本研究通过阿联酋零售业的实证数据来研究它们对在线购买意愿的影响，从而为文献做出贡献。

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引用次数: 0

Competition and collaboration: Topic modelling of Chinese and US news coverage about Beijing 2022 winter olympics on twitter 竞争与合作：中美两国在推特上对北京2022年冬奥会新闻报道的话题建模

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-08-08 DOI: 10.1016/j.teler.2025.100235

Yicheng Zhu, Chenhao Zhou, Siyu Li, Leshui Chen, Jiaqi Chen

This study analyzes the news coverage by Chinese and U.S. media on Twitter (X) during the 2022 Beijing Winter Olympics, exploring the core topics, reporting frameworks, and mutual influences between the two countries' media. Using tweets from five Chinese media outlets and two U.S. media outlets as the sample, the study employs LDA topic modelling analysis and time series analysis to uncover differences and interactive relationships in topic selection, framing, and reporting volume.

The findings reveal that Chinese media focused on eight core topics in their Winter Olympics coverage, while U.S. media concentrated on five. Both countries' media displayed significant attention to the topic of "popular athletes," but Chinese media emphasized the construction of national image from a collectivist perspective, whereas U.S. media highlighted individual achievements from an individualist perspective.

The study further examines the differences in communication strategies, noting that Chinese media employed a comprehensive approach, covering the event and related cultural and technological content to project both soft and hard national power. In contrast, U.S. media, influenced by international relations and political factors, placed greater emphasis on controversial international events. These differences reflect divergent communication strategies in terms of subject identification, categorization, framing, and generalization, shaped by their respective mainstream values and ideologies.

Finally, the study concludes that despite the significant differences in coverage, the mutual influence observed in reporting volumes between Chinese and U.S. media indicates the growing international influence of Chinese media, which is gradually reshaping the landscape of global news communication.

本研究分析了2022年北京冬奥会期间中美两国媒体在Twitter (X)上的新闻报道，探讨了两国媒体的核心话题、报道框架以及相互影响。本研究以中国五家媒体和美国两家媒体的推文为样本，采用LDA主题建模分析和时间序列分析，揭示了在选题、框架和报道量方面的差异和互动关系。调查结果显示，中国媒体在冬奥会报道中关注八个核心话题，而美国媒体关注五个。两国媒体都对“人气运动员”这一话题表现出了极大的关注，但中国媒体强调的是集体主义视角下的国家形象建设，而美国媒体强调的是个人主义视角下的个人成就。该研究进一步考察了传播策略的差异，指出中国媒体采用了全面的方法，报道事件和相关的文化和技术内容，以投射软实力和硬实力。相比之下，美国媒体受国际关系和政治因素的影响，更重视有争议的国际事件。这些差异反映了在各自的主流价值观和意识形态的影响下，他们在主体识别、分类、框架和概括等方面采取了不同的传播策略。最后，本研究得出结论，尽管中美媒体在报道范围上存在显著差异，但中美媒体在报道数量上的相互影响表明，中国媒体的国际影响力日益增强，正逐步重塑全球新闻传播格局。

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引用次数: 0