Telematics and Informatics最新文献

{"title":"Decoding digital dependency: Flow experience and social belonging in short video addiction among middle-aged and elderly Chinese users","authors":"Jie Xu ,&nbsp;T. Ramayah ,&nbsp;Muhammad Zulqarnain Arshad ,&nbsp;Adibah Ismail ,&nbsp;Jamilah Jamal","doi":"10.1016/j.tele.2024.102222","DOIUrl":"10.1016/j.tele.2024.102222","url":null,"abstract":"<div><div>The rising prevalence of mobile short video (MSV) addiction among middle-aged and elderly individuals poses a significant threat to their well-being, yet there is a notable paucity of research addressing this critical issue. Drawing on the Stimulus-Organism-Response framework and flow theory, this study examines the relationships between mobile short video characteristics (interactivity, recommendation, and entertainment) and addiction behaviors among middle-aged and elderly users. The research model considers perceived belonging and flow experience as mediating variables, with user habits as a moderating variable. Data were gathered through an online self-administered questionnaire, and structural equation modeling (SEM) was employed for data analysis. The results indicate that recommendation, interactivity, and entertainment are positively related to flow experience, while recommendation and interactivity are positively associated with social belonging. Both flow experience and social belonging are significant determinants of addictive behaviors, with flow experience mediating the relationship between short video characteristics and addictive behaviors, and social belonging mediating the relationship between recommendation, interactivity, and addictive behaviors. Additionally, user habits strengthen the relationships between social belonging and addictive behaviors, as well as between flow experience and addictive behaviors. These findings provide essential insights for designing effective strategies and interventions to prevent and reduce MSV addiction among middle-aged and elderly individuals, ultimately enhancing their digital literacy and quality of life.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"96 ","pages":"Article 102222"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143148109","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":"Global news media coverage of artificial intelligence (AI): A comparative analysis of frames, sentiments, and trends across 12 countries","authors":"Muhammad Ittefaq ,&nbsp;Ali Zain ,&nbsp;Rauf Arif ,&nbsp;Mohammad Ala-Uddin ,&nbsp;Taufiq Ahmad ,&nbsp;Azhar Iqbal","doi":"10.1016/j.tele.2024.102223","DOIUrl":"10.1016/j.tele.2024.102223","url":null,"abstract":"<div><div>This study examined the coverage of artificial intelligence (AI) in newspapers from 12 countries by analyzing news articles (<em>N</em> = 38,787) collected from 12 mainstream English newspapers, between 2010 and 2023. We used LDA topic modeling to identify prevalent frames in the news articles and SentiStrength to examine sentiments in the news headlines. Framing theory was applied in interpreting our results. Our analysis identified nine frames across newspapers: AI impacts on businesses, economy, and jobs (37.40 %), AI transformations in education and research (17.70 %), AI in national security and global partnerships (11.20 %), AI disruptions in media and creative industries (9.6 %), AI-based innovative solutions (7.30 %), AI regulations, ethics, and data privacy (6.40 %), AI competition and market dynamics in tech industries (4.90 %), AI in healthcare and climate change (3.47 %), and AI in politics, elections, and public opinion (2.03 %). A comparative analysis suggested that the Global North newspapers gave relatively lower coverage to AI-based innovative solutions and AI in healthcare and climate change while AI regulations, ethics, and data privacy and AI disruptions in media and creative industries received minimal coverage from the Global South newspapers. Our overall sentiment analysis indicated that 21.04 % of news headlines evoked negative, 13.33 % positive, and 65.63 % neutral sentiments. The Global North newspapers such as <em>The Guardian</em> and <em>The NYT</em> framed AI negatively in the 24 % of their news headlines, while the Global South newspapers such as <em>China Daily</em> and <em>Bangkok Post</em> framed AI positively in the 14.5 % of their news headlines.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"96 ","pages":"Article 102223"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143148107","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":"Political trolling on TikTok","authors":"Pnina Fichman ,&nbsp;Shohana Akter","doi":"10.1016/j.tele.2024.102226","DOIUrl":"10.1016/j.tele.2024.102226","url":null,"abstract":"<div><div>Political discourse on TikTok is on the rise, but research on the extent and nature of political trolling on the platform is lagging. Addressing this gap, we examine political trolling on TikTok by and towards Democrats and Republicans. Based on content analysis of over 8000 comments and posts, we found that trolling comments on TikTok are more humoristic than malevolent, particularly on Democrats’ posts, and that more trolling comments target posts by Democrats than posts by Republicans. We also found that trolling comments target their own party and politicians more often than they target their political opponents, and that more trolling comments that target such posts are humoristic, while more trolling comments that target their opponents are malevolent. Even though the extent of trolling comments on Republicans’ posts is higher than on Democrats’ posts, Democrats are the target of trolling more often, both on their own posts and on Republicans’ posts. Furthermore, Republicans’ posts target Democrats more often than they promote their own agenda, but Democrats’ posts promote their own agenda more often than they target Republicans. We contribute evidence of political trolling on TikTok that reflects the US’ asymmetric politics and politainment, and that raises the need to conduct more nuanced research on the relationships between trolling perpetrators and their targets.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"96 ","pages":"Article 102226"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143148108","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":"An imperative to innovate? Crisis in the sociotechnical imaginary","authors":"Ash Watson","doi":"10.1016/j.tele.2024.102229","DOIUrl":"10.1016/j.tele.2024.102229","url":null,"abstract":"<div><div>The unprecedented challenges of recent years have given rise to a new wave of technologies that promise to solve the problems of crisis. Compelled by the increasingly tangible spectre of a disastrous future, crises are seen as opportunities where innovation may be – and must be – advanced. Responding to calls for theoretically-driven analyses of crisis technologies, this article considered the rising imperative to innovate. Drawing from sociological, STS and cultural studies concepts, this article shares findings from a textual analysis which identified a number of distinct crisis technologies, from AI-powered COVID-19 tracing platforms to wildfire visualisation systems and flooding prediction models. It examines the discursive strategies at play in these texts and considers what they reveal about how crises, innovation and its beneficiaries are imagined and designed for. Through this analysis, this article illuminates priorities, precedents and characteristic logics being set during this intensive period including speed, complexity, visualisation and vulnerability. By attending to how innovation and publics are being conceptualised within sociotechnical imaginaries, this article aims to raise generative questions on the impacts that crises are having on developing agendas and visions for technological change.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"98 ","pages":"Article 102229"},"PeriodicalIF":7.6,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136390","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":"Towards harmonization of EU and UN methodologies for the assessment of eGovernment","authors":"Milan Paroški","doi":"10.1016/j.tele.2024.102199","DOIUrl":"10.1016/j.tele.2024.102199","url":null,"abstract":"<div><div>The paper briefly analyzes scientific papers dealing with eGovernment research. The methodology for ranking countries according to the level of development of eGovernment by the United Nations and the European Union is explained in detail. Given that the EU analysis included 27 + 8 European countries, the results of the level of development of eGovernment by the UN for the year 2022 were analyzed only for 27 + 8 European countries. The statistical processing of the thus obtained UN results with the latest EU results regarding eGovernment, from 2021, was carried out. At the end, a proposal for a slightly modified methodology used by the UN is given in order to take into account the advantages brought by EU research.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"96 ","pages":"Article 102199"},"PeriodicalIF":7.6,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720876","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 silence of the LLMs: Cross-lingual analysis of guardrail-related political bias and false information prevalence in ChatGPT, Google Bard (Gemini), and Bing Chat","authors":"Aleksandra Urman ,&nbsp;Mykola Makhortykh","doi":"10.1016/j.tele.2024.102211","DOIUrl":"10.1016/j.tele.2024.102211","url":null,"abstract":"<div><div>This article presents a comparative analysis of political bias in the outputs of three Large Language Model (LLM)-based chatbots – ChatGPT (GPT3.5, GPT4, GPT4o), Bing Chat, and Bard/Gemini – in response to political queries concerning the authoritarian regime in Russia. We investigate whether safeguards implemented in these chatbots contribute to the censorship of information that is viewed as harmful by the regime, in particular information about Vladimir Putin and the Russian war against Ukraine, and whether these safeguards enable the generation of false claims, in particular in relation to the regime’s internal and external opponents. To detect whether LLM safeguards reiterate political bias, the article compares the outputs of prompts focusing on Putin’s regime and the ones dealing with the Russian opposition and the US and Ukrainian politicians. It also examines whether the degree of bias varies depending on the language of the prompt and compares outputs concerning political personalities and issues across three languages: Russian, Ukrainian, and English. The results reveal significant disparities in how individual chatbots withhold politics-related information or produce false claims in relation to it. Notably, Bard consistently refused to respond to queries about Vladimir Putin in Russian, even when the relevant information was accessible via Google Search, and generally followed the censorship guidelines that, according to Yandex-related data leaks, were issued by the Russian authorities. A subsequent evaluation of Gemini showed that the chatbot restricts political information beyond what was officially confirmed by Google. In terms of false claims, we find substantial variation across languages with Ukrainian and Russian prompts generating false information more often and Bard being more prone to produce false claims in relation to Russian regime opponents (e.g., Navalny or Zelenskyy) than other chatbots. We also found that while GPT4 and GPT4o generate less factually incorrect information, both models still make mistakes, with their prevalence being higher in Russian and Ukrainian than in English. This research aims to stimulate further dialogue and research on developing safeguards against the misuse of LLMs outside of democratic environments.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"96 ","pages":"Article 102211"},"PeriodicalIF":7.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747239","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":"Overcoming social and ethical challenges of AI through organizational resilience. A PLS-SEM approach","authors":"Katarzyna Sienkiewicz-Małyjurek ,&nbsp;Barbara Zyzak","doi":"10.1016/j.tele.2024.102210","DOIUrl":"10.1016/j.tele.2024.102210","url":null,"abstract":"<div><div>This study aims to verify the impact of organizational resilience (OR) on the social and ethical challenges of artificial intelligence (AI) adoption and utilization. This is a significant topic as AI usage in governments is rapidly growing, followed by opportunities, many unknowns, and challenges for public servants. Although scholars have increased their focus on overcoming challenges caused by digital technology in general, there is still a need to expand their focus to a specific type of technology, such as AI. Therefore, we ask whether organizational resilience can help overcome social and ethical AI challenges. To answer this question, we base our research on the survey realized in Poland among 414 city governments. The data analysis employed PLS-SEM revealed that a proactive approach manifested through the strategic planning dimension of OR is crucial to overcoming social and ethical challenges of AI adoption and utilization. In contrast, a reactive approach based on adaptive capacities is not significant. These findings have important implications for theory and practice, particularly for creating conditions that foster the development of AI adoption and utilization in city governments.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"96 ","pages":"Article 102210"},"PeriodicalIF":7.6,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720878","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 to fight loneliness: The importance of networked friendship quality and self-esteem differs with age","authors":"Brandon C. Bouchillon","doi":"10.1016/j.tele.2024.102212","DOIUrl":"10.1016/j.tele.2024.102212","url":null,"abstract":"<div><div>Loneliness has increased dramatically in the United States, with young Americans being the loneliest. They spend more time on the Internet than previous generations, which is argued to have displaced interpersonal contact and connections. This socioemotional isolation can damage self-esteem, so research has begun to consider the potential for networked social living to improve how users feel about themselves, and how they connect with others. The present study contributes to this literature by weighing the influence of networked friendship quality—or developing a sense of closeness with other people when social networking—on trait self-esteem and loneliness. A web survey was conducted in September 2022 and matched to U.S. Census percentages for sex, race, ethnicity, age, and region of residence (<em>N</em> = 1500), followed by a second wave of the survey six weeks later, to create a two-wave panel (<em>N</em> = 752). In both the cross-sectional sample and the panel, networked friendship quality contributed to self-esteem, and gains in self-esteem led to reductions in loneliness. This indirect association was the largest for the youngest users surveyed, who base more of their self-perception on becoming close with other users social networking. This allows networked friendship quality to offer a potent means of addressing loneliness for them, albeit indirectly.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"96 ","pages":"Article 102212"},"PeriodicalIF":7.6,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720877","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":"Understanding online shopping fraud among Chinese elderly: Extending routine activity theory in the online context","authors":"Hongliang Chen ,&nbsp;Miao He ,&nbsp;Lulu Peng","doi":"10.1016/j.tele.2024.102208","DOIUrl":"10.1016/j.tele.2024.102208","url":null,"abstract":"<div><div>Drawing from routine activity theory (RAT), this study explored the antecedents of older adults’ exposure to online shopping fraud and evaluated the moderators of the linkage between fraud exposure and victimization. Through a survey of 471 Chinese participants aged 55 and above, we found that older adults who engage in high-risk online behaviors, use insecure networks, frequently encounter promotional advertisements, and regularly shop on live-streaming platforms are at a heightened risk of fraud exposure. Following exposure, those exhibiting excessive trust in Internet platforms and a strong face-saving bias were more likely to incur monetary losses. Our research reframed RAT into a structured two-stage process, with fraud exposure leading to victimization, moderated by guardianship, and highlighted the critical role of cognitive biases among older adults. These findings offer valuable insights for developing effective safeguards to protect older people in the digital shopping landscape.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"96 ","pages":"Article 102208"},"PeriodicalIF":7.6,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720879","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":"Engaging with underserved communities during times of crises: A computational analysis of social media interactions with government information about COVID-19 economic relief programs","authors":"Jihye Lee ,&nbsp;Soojong Kim","doi":"10.1016/j.tele.2024.102209","DOIUrl":"10.1016/j.tele.2024.102209","url":null,"abstract":"<div><div>Racial and social inequalities in the digital landscape remain pressing concerns in society. Previous research on government efforts to address digital inequality has largely focused on improving access to digital infrastructure and literacy. However, there is a severe shortage of research that examines how underserved communities engage with government information on relief measures and policies during crises. This study fills these gaps by drawing insights from three bodies of literature – digital inequality, the situational theory of problem solving, and fear. We investigate how underserved communities, such as low-income individuals, communities of color, and rural populations, interacted with government information about COVID-19 economic relief programs designed to mitigate the adverse effects of crises, and how fear influenced public engagement patterns. We analyzed Facebook posts (<em>N</em> = 28,887) containing links (URLs) to government websites on COVID-19 economic relief programs from 2020 to 2022. Our findings show that posts shared within underserved communities generated higher levels of engagement (shares, comments) compared to those shared in nonunderserved communities. This indicates that underserved communities showed great interest in and participation with government information about relief programs during the pandemic. Notably, engagement significantly decreased when fear was expressed in discussions, and such a pattern was more pronounced in underserved communities than in nonunderserved ones. These results offer valuable insights into the communication dynamics of underserved communities during crises, contributing to a deeper understanding of digital inequality within the policy context.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"95 ","pages":"Article 102209"},"PeriodicalIF":7.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659354","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}