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Beyond the screen: Exploring pathways to reduce SNS dependency 屏幕之外:探索减少社交网络依赖的途径
IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-02-01 DOI: 10.1016/j.tele.2024.102224
Pedro Nascimento, Tiago Oliveira, Joana Neves
This research investigates the factors impacting the reduction and discontinuation of social networking site (SNS) usage, employing the situation-organism-behavior-consequence (S-O-B-C) framework. Previous research on reducing SNS use has primarily focused on the factors that lead to such behavior, with limited attention to the behavioral consequences of this reduction. Furthermore, there is a gap in understanding how a dynamic interplay of situational and internal factors drives these behavioral changes and transitions. The validity of the proposed S-O-B-C framework was assessed empirically, drawn from 802 responses collected from Instagram users. The findings indicate that higher levels of perceived severity and vulnerability amplify feelings of fear and exhaustion, subsequently fostering users’ intentions to reduce SNS usage. Additionally, the reduction in SNS usage correlates with discontinuation, a relationship that is positively moderated by cognitive dissonance. This study explores the transitions from overuse to reduction and from reduction to discontinuation.
本研究采用情境-组织-行为-后果(S-O-B-C)框架,调查影响减少和停止使用社交网站(SNS)的因素。以往关于减少使用社交网站的研究主要集中在导致这种行为的因素上,对减少使用社交网站的行为后果关注有限。此外,对于情景因素和内部因素的动态相互作用如何推动这些行为变化和转变的理解也存在差距。我们从 Instagram 用户的 802 条回复中,对所提出的 S-O-B-C 框架的有效性进行了实证评估。研究结果表明,感知到的严重性和脆弱性水平越高,恐惧感和疲惫感就越强烈,从而促使用户打算减少 SNS 的使用。此外,SNS 使用量的减少与中断有关,这种关系受到认知失调的正向调节。本研究探讨了从过度使用到减少使用以及从减少使用到停止使用的转变过程。
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引用次数: 0
From adoption to continuance: Stablecoins in cross-border remittances and the role of digital and financial literacy 从采用到延续:稳定币在跨境汇款中的应用以及数字和金融知识的作用
IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-02-01 DOI: 10.1016/j.tele.2024.102230
Lennart Ante
We examine the adoption and continuance intentions of blockchain-based stablecoins for cross-border remittances. Relying on survey data from 866 U.S.-based adults engaged in remittance activities, our findings reveal that digital and financial literacy independently increase the likelihood of stablecoin adoption, while their interaction synergistically enhances predictive accuracy. Demographic analysis indicates that stablecoin remittance users tend to be younger, more educated, and involved in higher-value transactions. Among the 26% of remittance users who adopted stablecoins, continuance intentions are primarily driven by satisfaction and perceived usefulness. This points to a cyclical dynamic, where meeting user expectations leads to greater satisfaction, which in turn reinforces the perceived usefulness of stablecoins. The results underscore the importance of promoting both digital and financial literacy, improving user experience, and effectively communicating tangible benefits to encourage the continued adoption of stablecoins for remittance transactions. Ultimately, these efforts could contribute to a more efficient and cost-effective remittance market that aligns with the 10th Sustainable Development Goal (SDG) to reduce transaction costs of remittances to less than 3 percent by 2030.
我们研究了基于区块链的稳定币在跨境汇款中的采用和持续意图。根据对866名从事汇款活动的美国成年人的调查数据,我们的研究结果显示,数字和金融知识独立地增加了采用稳定币的可能性,而它们的相互作用协同提高了预测的准确性。人口统计分析表明,稳定币汇款用户往往更年轻,受教育程度更高,参与的交易价值更高。在采用稳定币的26%汇款用户中,继续使用意愿主要是由满意度和感知有用性驱动的。这表明了一种周期性的动态,满足用户的期望会带来更大的满意度,这反过来又强化了稳定币的可用性。研究结果强调了促进数字和金融知识普及、改善用户体验和有效沟通实际利益的重要性,以鼓励稳定币在汇款交易中的持续采用。最终,这些努力将有助于建立一个更高效、更具成本效益的汇款市场,从而符合到2030年将汇款交易成本降至3%以下的第十项可持续发展目标。
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引用次数: 0
Hollow infrastructures: The case of Facebook and Israeli civil society 空洞的基础设施:Facebook和以色列公民社会的案例
IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-01-30 DOI: 10.1016/j.tele.2025.102246
Shaul A. Duke
Recent scholarship has shown that digital infrastructures most often have a very slow demise and linger on for years after they start deteriorating. Moreover, this perplexing endurance comes despite apparent acts of erosion in the value they offer to groups of users. How can we understand the long tail of digital infrastructures in decline? How do digital infrastructures manage to retain groups of users despite deterioration in the utility that the platform provides them? This paper offers the term ‘hollow infrastructures’ as a partial explanation to these questions, and will suggest that certain groups of users and third parties are complicit in keeping a façade of functionality, and thus unintentionally confuse those who encounter these declining platforms. Yet the end result is a lack of efficiency and a drain on resources for those using these hollow infrastructures. This will be done by analyzing the case study of Facebook and Israeli civil society organizations. This analysis is based on a qualitative research project that included content analysis of website and Facebook pages, and 31 interviews.
最近的学术研究表明,数字基础设施的消亡通常非常缓慢,在开始恶化后还会持续数年。此外,尽管它们为用户群体提供的价值明显受到侵蚀,但这种令人困惑的持久性还是出现了。我们如何理解数字基础设施衰落的长尾现象?数字基础设施是如何在平台提供给用户的效用下降的情况下留住用户群体的?本文提供了术语“空洞的基础设施”作为对这些问题的部分解释,并将表明某些用户群体和第三方在保持功能的伪装方面串通一气,因此无意中混淆了那些遇到这些衰落平台的人。然而,最终的结果是效率低下,对那些使用这些空洞基础设施的人来说,这是一种资源消耗。这将通过分析Facebook和以色列民间社会组织的案例研究来完成。这个分析是基于一个定性研究项目,包括网站和Facebook页面的内容分析,以及31个访谈。
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引用次数: 0
Public attitudes toward the Israeli-Palestinian conflict in China: A text mining analysis 中国公众对巴以冲突的态度:文本挖掘分析
IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-01-25 DOI: 10.1016/j.tele.2025.102243
Xuefan Dong , Chen Wang , Ying Lian
This paper investigates how Weibo serves as a symbolic space for Chinese public opinion on the October 2023 Israeli-Palestinian conflict through a text mining analysis of Weibo posts. Using Named Entity Recognition, emotion analysis, topic clustering, and opinion mining, the study reveals key themes, entities, and emotional responses among Chinese netizens. The analysis shows that Chinese netizens express views on humanitarian concerns, calls for peace, support for Palestinian national liberation, and demands for accurate information. Emotion-opinion cross-analysis reveals that their responses are shaped by a mix of emotions, including anger towards external geopolitical forces, fear and sadness regarding humanitarian impacts, and hope for peace and resolution. These emotions illustrate the complex interplay between humanitarian concerns, political stances, and support for diplomacy, demonstrating Weibo’s role as a platform for amplifying public sentiment. The study also examines how Chinese public opinion aligns with the Chinese government’s stance on international affairs. Findings indicate broad support for the government’s diplomatic efforts, such as calls for ceasefire, humanitarian aid, and mediation. This alignment reflects an expectation for China to actively contribute to global peace and stability. Additionally, the study uncovers critical perspectives on external influences, with many netizens criticizing perceived biases in international responses and advocating for a balanced, multilateral diplomatic approach. Overall, this research highlights how a distant geopolitical crisis is understood in China’s socio-political context, revealing an emerging global consciousness among Chinese netizens. This shift, facilitated by Weibo, reflects a movement from a state-centric narrative to an active public engagement with global issues.
本文通过对微博帖子的文本挖掘分析,探讨微博如何在2023年10月的巴以冲突中成为中国舆论的象征空间。利用命名实体识别、情感分析、主题聚类和意见挖掘,该研究揭示了中国网民的关键主题、实体和情感反应。分析表明,中国网民表达了对人道主义问题的看法,呼吁和平,支持巴勒斯坦民族解放,要求准确的信息。情绪-观点交叉分析显示,他们的反应受到多种情绪的影响,包括对外部地缘政治力量的愤怒,对人道主义影响的恐惧和悲伤,以及对和平与解决的希望。这些情绪说明了人道主义关切、政治立场和对外交的支持之间复杂的相互作用,证明了微博作为放大公众情绪的平台的作用。该研究还考察了中国公众舆论与中国政府在国际事务中的立场是如何一致的。调查结果显示,政府的外交努力得到广泛支持,比如呼吁停火、人道主义援助和调解。这反映了对中国积极为世界和平与稳定作出贡献的期望。此外,该研究还揭示了对外部影响的批判性观点,许多网民批评国际反应中存在的偏见,并主张采取平衡的多边外交方式。总的来说,这项研究强调了如何在中国的社会政治背景下理解遥远的地缘政治危机,揭示了中国网民正在形成的全球意识。在微博的推动下,这种转变反映了一种从以国家为中心的叙事向公众积极参与全球问题的转变。
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引用次数: 0
Decoding digital dependency: Flow experience and social belonging in short video addiction among middle-aged and elderly Chinese users 解码数字依赖:中国中老年短视频成瘾用户的心流体验与社会归属感
IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-01-01 DOI: 10.1016/j.tele.2024.102222
Jie Xu , T. Ramayah , Muhammad Zulqarnain Arshad , Adibah Ismail , Jamilah Jamal
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.
移动短视频(MSV)成瘾在中老年人群中日益流行,这对他们的健康构成了重大威胁,但针对这一关键问题的研究却明显缺乏。利用刺激-有机体-反应框架和流理论,本研究考察了中老年用户的移动短视频特征(交互性、推荐性和娱乐性)与成瘾行为之间的关系。研究模型以感知归属和流体验为中介变量,以用户习惯为调节变量。通过在线自填问卷收集数据,并采用结构方程模型(SEM)进行数据分析。结果表明,推荐、互动性和娱乐性与心流体验呈正相关,而推荐和互动性与社会归属感呈正相关。流体验和社会归属都是成瘾行为的重要决定因素,流体验在短视频特征与成瘾行为之间起中介作用,社会归属在推荐、互动性和成瘾行为之间起中介作用。此外,用户习惯强化了社会归属与成瘾行为之间的关系,以及心流体验与成瘾行为之间的关系。这些发现为设计有效的策略和干预措施提供了重要见解,以预防和减少中老年人的MSV成瘾,最终提高他们的数字素养和生活质量。
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引用次数: 0
Global news media coverage of artificial intelligence (AI): A comparative analysis of frames, sentiments, and trends across 12 countries 全球新闻媒体对人工智能(AI)的报道:对12个国家的框架、情绪和趋势的比较分析
IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-01-01 DOI: 10.1016/j.tele.2024.102223
Muhammad Ittefaq , Ali Zain , Rauf Arif , Mohammad Ala-Uddin , Taufiq Ahmad , Azhar Iqbal
This study examined the coverage of artificial intelligence (AI) in newspapers from 12 countries by analyzing news articles (N = 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 The Guardian and The NYT framed AI negatively in the 24 % of their news headlines, while the Global South newspapers such as China Daily and Bangkok Post framed AI positively in the 14.5 % of their news headlines.
本研究通过分析2010年至2023年12家主流英语报纸上的新闻报道(N = 38787),对12个国家报纸上人工智能(AI)的报道进行了调查。我们使用LDA主题建模来识别新闻文章中的流行框架,并使用SentiStrength来检查新闻标题中的情绪。框架理论被用于解释我们的结果。我们的分析确定了报纸上的九种框架:人工智能对商业、经济和就业的影响(37.40%)、人工智能在教育和研究中的转变(17.70%)、人工智能在国家安全和全球伙伴关系中的影响(11.20%)、人工智能对媒体和创意产业的颠覆(9.6%)、基于人工智能的创新解决方案(7.30%)、人工智能法规、道德和数据隐私(6.40%)、人工智能在科技行业的竞争和市场动态(4.90%)、人工智能在医疗保健和气候变化(3.47%)、人工智能在政治、选举和公众舆论中的影响(2.03%)。对比分析表明,全球北方报纸对基于人工智能的创新解决方案和人工智能在医疗保健和气候变化方面的报道相对较低,而全球南方报纸对人工智能法规、伦理、数据隐私和人工智能在媒体和创意产业中的破坏的报道则很少。我们的整体情绪分析表明,21.04%的新闻标题引起负面情绪,13.33%的新闻标题引起正面情绪,65.63%的新闻标题引起中性情绪。《卫报》、《纽约时报》等全球北方报纸在24%的新闻标题中对人工智能进行了负面报道,而《中国日报》、《曼谷邮报》等全球南方报纸在14.5%的新闻标题中对人工智能进行了正面报道。
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引用次数: 0
Political trolling on TikTok 抖音上的政治挑衅
IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-01-01 DOI: 10.1016/j.tele.2024.102226
Pnina Fichman , Shohana Akter
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.
TikTok上的政治话语正在兴起,但对该平台上政治挑衅的程度和性质的研究却很落后。为了解决这一差距,我们研究了民主党人和共和党人在TikTok上的政治挑衅。根据对8000多条评论和帖子的内容分析,我们发现抖音上的挑衅评论更多的是幽默而不是恶意,尤其是在民主党的帖子上,而且针对民主党的帖子的挑衅评论比针对共和党的帖子更多。我们还发现,与针对政治对手的评论相比,针对自己政党和政客的恶意评论更多,针对此类帖子的恶意评论更多是幽默的,而针对对手的恶意评论更多是恶意的。尽管对共和党帖子的恶意评论程度高于民主党帖子,但民主党人更经常成为恶意评论的目标,无论是在他们自己的帖子上还是在共和党的帖子上。此外,共和党人的帖子更多地针对民主党人,而不是宣传他们自己的议程,而民主党人的帖子更多地宣传他们自己的议程,而不是针对共和党人。我们提供了TikTok上政治挑衅的证据,反映了美国的不对称政治和政治娱乐,这提出了对挑衅肇事者与其目标之间关系进行更细致研究的必要性。
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引用次数: 0
An imperative to innovate? Crisis in the sociotechnical imaginary 创新势在必行?社会技术想象中的危机
IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-12-20 DOI: 10.1016/j.tele.2024.102229
Ash Watson
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.
近年来前所未有的挑战催生了一波有望解决危机问题的新技术。由于对灾难性未来日益真切的恐惧,危机被视为可以——而且必须——推进创新的机会。为了响应对危机技术的理论驱动分析的呼吁,本文考虑了创新的必要性。借鉴社会学、STS和文化研究概念,本文分享了文本分析的发现,该分析确定了许多不同的危机技术,从人工智能驱动的COVID-19追踪平台到野火可视化系统和洪水预测模型。它考察了在这些文本中发挥作用的话语策略,并考虑它们揭示了危机、创新及其受益者是如何被想象和设计的。通过这一分析,本文阐明了在这一密集时期所设定的优先事项、先例和特征逻辑,包括速度、复杂性、可视化和脆弱性。通过关注创新和公众如何在社会技术想象中被概念化,本文旨在提出关于危机对发展议程和技术变革愿景的影响的生成问题。
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引用次数: 0
Towards harmonization of EU and UN methodologies for the assessment of eGovernment 统一欧盟和联合国的电子政务评估方法
IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-11-23 DOI: 10.1016/j.tele.2024.102199
Milan Paroški
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.
本文简要分析了有关电子政务研究的科学论文。详细解释了根据联合国和欧盟电子政务发展水平对各国进行排名的方法。鉴于欧盟的分析包括 27+8 个欧洲国家,因此只分析了 27+8 个欧洲国家的联合国 2022 年电子政务发展水平结果。对由此获得的联合国结果和欧盟 2021 年电子政务的最新结果进行了统计处理。最后,提出了对联合国使用的方法稍作修改的建议,以便考虑到欧盟研究带来的优势。
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引用次数: 0
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 法学硕士的沉默:在ChatGPT, b谷歌Bard (Gemini)和Bing Chat中护栏相关的政治偏见和虚假信息流行的跨语言分析
IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-11-20 DOI: 10.1016/j.tele.2024.102211
Aleksandra Urman , Mykola Makhortykh
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.
本文对三种基于大型语言模型(LLM)的聊天机器人——ChatGPT (GPT3.5、GPT4、gpt40)、必应聊天和Bard/Gemini——在回答有关俄罗斯独裁政权的政治问题时的输出中的政治偏见进行了比较分析。我们调查在这些聊天机器人中实施的保障措施是否有助于审查被政权视为有害的信息,特别是关于弗拉基米尔·普京和俄罗斯对乌克兰的战争的信息,以及这些保障措施是否能够产生虚假声明,特别是与政权的内部和外部对手有关。为了检测法学硕士保障是否重申了政治偏见,本文比较了关注普京政权的提示和处理俄罗斯反对派、美国和乌克兰政客的提示的输出。它还检查了偏见的程度是否因提示语的不同而不同,并比较了三种语言(俄语、乌克兰语和英语)关于政治人物和问题的输出。结果显示,在个人聊天机器人如何隐瞒与政治相关的信息或产生与之相关的虚假声明方面,存在巨大差异。值得注意的是,巴德一直拒绝用俄语回答有关弗拉基米尔·普京(Vladimir Putin)的问题,即使相关信息可以通过谷歌搜索(谷歌Search)获得,而且总体上遵守审查准则,根据与yandex相关的数据泄露,这些准则是由俄罗斯当局发布的。随后对Gemini的评估显示,该聊天机器人限制的政治信息超出了b谷歌官方确认的范围。在虚假声明方面,我们发现不同语言之间存在很大差异,乌克兰语和俄语提示更频繁地产生虚假信息,而巴德比其他聊天机器人更容易产生与俄罗斯政权对手(例如纳瓦尔尼或泽伦斯基)有关的虚假声明。我们还发现,虽然GPT4和gpt40生成的事实错误信息较少,但这两种模型仍然存在错误,俄语和乌克兰语的错误发生率高于英语。本研究旨在促进进一步的对话和研究,以制定防止在民主环境之外滥用法学硕士的保障措施。
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引用次数: 0
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Telematics and Informatics
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