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Governing data through privacy after China's PIPL: Discursive strategies, layered compliance and power dynamics in digital platform policies 中国PIPL之后通过隐私管理数据:数字平台政策中的话语策略、分层合规和权力动态
IF 6.4 2区 管理学 Q1 COMMUNICATION Pub Date : 2026-04-01 Epub Date: 2025-12-24 DOI: 10.1016/j.telpol.2025.103147
Yiming Chen , Liming Liu , Jinpei Deng
Digital platforms play a central role in data governance, yet their privacy practices raise global concerns regarding information asymmetry and inadequate user protection. China's 2021 Personal Information Protection Law (PIPL) marks a significant regulatory intervention, but limited research explores a nuanced understanding of how platforms translate and implement this law in practice. Through a critical discourse analysis of the privacy policies of four leading Chinese digital platforms—Baidu, Taobao, WeChat, and Douyin—this study examines how these platforms construct, characterize, and operationalize privacy, compliance, and user rights in the PIPL era through their governance practices. The analysis identifies four strategic discursive patterns: legitimizing data extraction as lawful and socially beneficial; framing strong privacy protection as moral responsibility; circumscribing user rights within platform-defined parameters; and managing policy updates as a unilateral governance mechanism. These strategies demonstrate how PIPL is enacted in a layered and performative manner, transforming legal obligations into discursive tools that consolidate platform authority and normalize asymmetric data relations. This study contributes to understanding platform governance scholarship by illustrating how privacy policies function as governance instruments, navigating regulatory demands while mediating state-platform-user relationships. It also provides practical insights for regulators to strengthen enforcement mechanisms and public accountability of user protection within China's rapidly evolving digital ecosystem, while offering comparative value for understanding privacy governance across global regulatory frameworks within platformized environments.
数字平台在数据治理中发挥着核心作用,但其隐私实践引发了全球对信息不对称和用户保护不足的担忧。中国2021年的《个人信息保护法》(PIPL)标志着重大的监管干预,但有限的研究探索了平台如何在实践中翻译和实施这项法律的细微理解。通过对百度、淘宝、b微信和抖音这四个中国领先的数字平台的隐私政策进行批判性话语分析,本研究考察了这些平台如何通过治理实践在PIPL时代构建、表征和运营隐私、合规性和用户权利。分析确定了四种战略话语模式:将数据提取合法化为合法和社会有益的;将强有力的隐私保护作为道德责任;在平台定义的参数范围内限制用户权限;将政策更新作为一种单边治理机制进行管理。这些策略展示了如何以分层和可执行的方式制定PIPL,将法律义务转化为巩固平台权威和规范非对称数据关系的话语工具。本研究通过说明隐私政策如何作为治理工具发挥作用,在调节国家-平台-用户关系的同时引导监管要求,有助于理解平台治理学术。它还为监管机构在中国快速发展的数字生态系统中加强执法机制和公众对用户保护的问责提供了实际见解,同时为理解平台化环境下全球监管框架的隐私治理提供了比较价值。
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引用次数: 0
Too good to be true? China's new conceptual scheme for data property rights 好得令人难以置信?中国数据产权新概念方案
IF 6.4 2区 管理学 Q1 COMMUNICATION Pub Date : 2026-04-01 Epub Date: 2025-12-29 DOI: 10.1016/j.telpol.2025.103145
Jingjing Li , Limei Gao , Jiayou Shi
This article assesses the implementation of China's new data property rights framework, which grants actors engaged in data collection, processing, and commercialisation three distinct rights: to hold data resources, to process and use data, and to operate data products. Compared with the EU and U.S., China's focus on data processors and an ex-ante regulatory design has led to this approach. The New Scheme intended to lower information costs and expand data market. Whether this design works in practice remains uncertain. Building on Smith and North's view, this paper use local legislation and judicial decisions as indicators of how the New Scheme takes effect, and develops a transaction cost framework that covers information, bargaining, and enforcement costs. Using 47 local regulations, 33 administrative rules, nine representative judicial cases, five industry reports and four interviews in exchanges, we show that the New Scheme has produced two coexisting trading pathways. On-exchange transactions, supported by local legislation and state-run data exchanges, follow the Scheme more closely and reduce information costs, and their trading volume has grown rapidly. Off-exchange transactions, however, still dominate total trading volume and continue to expand. This pattern is driven by high entry barriers to exchanges, unclear delimitation of the three rights in local legislation, and courts' comparable protection of unregistered data. These factors limit reductions in bargaining and enforcement costs for on-exchange trade. We propose that New Scheme calls for gradual judicial adjustment rather than immediate codification, and that courts can adopt a more proactive stance. We also recommend improvements to market institutions, including making transactions to on- or off-exchange depending on data characteristics, a non-mandatory registration within exchange and a clearer separation of the three decomposed rights.
本文评估了中国新数据产权框架的实施情况,该框架授予从事数据收集、处理和商业化的行为者三项不同的权利:持有数据资源、处理和使用数据以及运营数据产品。与欧盟和美国相比,中国对数据处理商的关注和事前监管设计导致了这种做法。新计划旨在降低资讯成本及拓展数据市场。这种设计在实践中是否有效还不确定。基于Smith和North的观点,本文使用地方立法和司法判决作为新方案如何生效的指标,并开发了一个涵盖信息、议价和执行成本的交易成本框架。通过47项地方性法规、33项行政法规、9个具有代表性的司法案例、5份行业报告和4次交易所采访,我们发现新方案产生了两种并存的交易路径。在地方立法和国有数据交易所的支持下,交易所交易更紧密地遵循了该计划,降低了信息成本,交易量增长迅速。然而,场外交易仍占总交易量的主导地位,并在继续扩大。这一模式是由交易所的高进入壁垒、地方立法对三权界定不清、法院对未注册数据的可比保护等因素驱动的。这些因素限制了在交易所交易中讨价还价和执行成本的降低。我们建议“新计划”应逐步调整司法,而不是立即编纂,法院可采取更积极主动的立场。我们还建议改进市场制度,包括根据数据特征对交易所内外进行交易,在交易所内进行非强制性登记,以及更明确地分离三种分解权利。
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引用次数: 0
Multihoming strategies in e-commerce: An exploratory study of seller characteristics, marketing resources, and business performance 电子商务中的多巢策略:卖家特征、营销资源与企业绩效的探索性研究
IF 6.4 2区 管理学 Q1 COMMUNICATION Pub Date : 2026-03-01 Epub Date: 2025-10-28 DOI: 10.1016/j.telpol.2025.103107
Kyu Tae Kwak , DongA Jeong , Semin Hong , Sang Woo Lee
The expansion of platform businesses has provided participants with new opportunities to use across multiple platforms simultaneously. This practice, referred to as ‘multihoming’, offers advantages, especially for sellers who market products or services through platforms. Based on strategic approaches to multihoming, sellers can enhance brand recognition, expand their customer base, and improve business outcomes. This study explores the key antecedents of multihoming strategies (expansion strategy and sustainment strategy) among e-commerce sellers and examines their associations with business performance (financial and non-financial performance). To achieve this objective, we conducted an online survey targeting 646 sellers registered as e-commerce business operators in Statistics Korea. Key findings suggest that sellers with higher education levels use multiple platforms more efficiently, adapt quickly to market changes, and maintain multihoming longer to maximize exposure and reduce risk. Conversely, female and older sellers tend to sustain longer periods of multihoming. Sellers with extensive marketing resources, such as diverse product categories or offline stores, tend to multihome on fewer platforms for shorter durations, whereas those offering popular product tends to multihome across more platforms for longer periods. The research highlights that while the expansion and sustainment of multihoming strategies are generally positively associated with performance, exceeding a certain threshold can lead to adverse effects, underscoring the importance of adopting an appropriate multihoming strategy to drive commercial success. These findings offer valuable guidance for platform operators, sellers, and policymakers in navigating the dynamic e-commerce landscape.
平台业务的扩展为参与者提供了跨多个平台同时使用的新机会。这种被称为“多屋”的做法提供了优势,特别是对于通过平台销售产品或服务的卖家。基于多屋的战略方法,卖家可以提高品牌认知度,扩大客户基础,改善业务成果。本研究探讨了电子商务卖家多归属策略(扩张策略和维持策略)的关键前提,并考察了它们与经营绩效(财务和非财务绩效)的关系。为此,以在统计厅登记为电子商务经营者的646名销售者为对象,进行了在线调查。主要研究结果表明,受教育程度较高的卖家更有效地使用多个平台,更快地适应市场变化,并且维持多屋的时间更长,以最大限度地降低风险。相反,女性和年龄较大的卖家倾向于维持更长时间的多套住房。拥有广泛营销资源(如多样化的产品类别或线下商店)的卖家倾向于在更少的平台上进行短期的多家销售,而那些提供流行产品的卖家则倾向于在更多的平台上进行长期的多家销售。研究强调,虽然多归巢战略的扩大和维持通常与业绩呈正相关,但超过某一阈值可能导致不利影响,强调了采用适当的多归巢战略以推动商业成功的重要性。这些发现为平台运营商、卖家和政策制定者在动态的电子商务环境中导航提供了有价值的指导。
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引用次数: 0
Governing AI virtual anchors in China’s live streaming E-commerce ecosystem: Policy challenges and global implications 在中国直播电子商务生态系统中管理人工智能虚拟主播:政策挑战和全球影响
IF 6.4 2区 管理学 Q1 COMMUNICATION Pub Date : 2026-03-01 Epub Date: 2025-11-28 DOI: 10.1016/j.telpol.2025.103109
Yuxi Meng
The rapid advancement of generative artificial intelligence (AI) has fundamentally reshaped the traditional media value chain, transforming the processes of content production, distribution, and consumption. Among these developments, AI virtual anchors have significantly reduced operational costs and enabled the large-scale creation of content. However, their widespread adoption has also raised complex legal, ethical, and regulatory challenges. This paper investigates the governance of AI virtual anchors from three key dimensions.
First, it examines how AI technologies are restructuring the media ecosystem, particularly in the realm of live-streaming e-commerce, by displacing human labour and creating new market dynamics. Second, it examines the associated legal and ethical concerns, including intellectual property disputes, the under-recognized rights of “ghost performers”, risks of misinformation, and consumer protection issues. Third, it evaluates China’s evolving governance responses, highlighting both proactive regulatory innovations and ongoing challenges. Starting from platform governance theories, this paper develops a China-specific regulatory narrative and identifies a multi-tiered governance system that involves the government, platforms, and public participation, and reveals the underlying logic that redefines platform roles in China’s digital governance architecture. This paper argues that China’s evolving governance of AI virtual anchors illustrates a distinct institutional model and aims to situate this experience within global discussions, offering comparative reference points for AI governance, particularly regarding platform responsibility, adaptive regulation, and public participation.
生成式人工智能(AI)的快速发展从根本上重塑了传统媒体价值链,改变了内容生产、分发和消费的流程。在这些发展中,人工智能虚拟主播大大降低了运营成本,并实现了内容的大规模创作。然而,它们的广泛采用也带来了复杂的法律、道德和监管挑战。本文从三个关键维度研究人工智能虚拟主播的治理。首先,它研究了人工智能技术如何通过取代人力和创造新的市场动态来重组媒体生态系统,特别是在直播电子商务领域。其次,它考察了相关的法律和道德问题,包括知识产权纠纷、“幽灵表演者”未被承认的权利、错误信息的风险和消费者保护问题。第三,它评估了中国不断变化的治理对策,突出了积极的监管创新和持续的挑战。本文从平台治理理论出发,构建了具有中国特色的监管叙事,确定了一个涉及政府、平台和公众参与的多层次治理体系,揭示了在中国数字治理架构中重新定义平台角色的内在逻辑。本文认为,中国对人工智能虚拟主播的不断发展的治理说明了一种独特的制度模式,旨在将这一经验置于全球讨论之中,为人工智能治理提供比较参考点,特别是在平台责任、适应性监管和公众参与方面。
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引用次数: 0
The FM radio switch-off and the need for sustainable and inclusive digital radio policy 调频广播的关闭以及可持续和包容性数字广播政策的必要性
IF 6.4 2区 管理学 Q1 COMMUNICATION Pub Date : 2026-03-01 Epub Date: 2025-11-15 DOI: 10.1016/j.telpol.2025.103116
Tom Evens
This article examines the anticipated FM switch-off in Flanders (Belgium) as a case study to analyse the economic, social, and political interests shaping the transition to digital radio. Drawing on 32 semi-structured interviews with broadcasters, policymakers and other stakeholders, the study highlights how the costs and benefits of digitisation are unevenly distributed across different levels of the radio ecosystem. At the micro level, audiences face financial and practical barriers to adopting DAB+, with limited incentives to replace still-functioning FM devices. At the mezzo level, broadcasters express concern about declining audience reach, advertising revenues, and increased competition from international streaming services, while incumbents resist disruption to their entrenched market positions. At the macro level, digitisation promises benefits such as greater diversity and improved energy efficiency, but also raises risks of digital exclusion, particularly for socioeconomically disadvantaged and older listeners. The analysis demonstrates that a rapid FM switch-off could destabilize the broadcasting market and undermine universal access to radio services. The study concludes that a successful transition requires a negotiated policy process in which governments balance private and public interests, short- and long-term costs, and competing technological pathways. Rather than privileging DAB+ as the dominant successor to FM, policymakers should adopt a platform-neutral and future-proof regulatory framework that recognises the dynamic and uncertain nature of technological development.
本文以佛兰德斯(比利时)预期的调频关闭为例,分析经济、社会和政治利益对数字广播转型的影响。通过对广播公司、政策制定者和其他利益相关者的32次半结构化访谈,该研究强调了数字化的成本和收益在无线电生态系统的不同层面是如何不均匀分布的。在微观层面上,受众在采用DAB+方面面临着经济和实际的障碍,他们更换仍在运行的FM设备的动机有限。在中流媒体层面,广播公司对观众覆盖面下降、广告收入下降以及来自国际流媒体服务的竞争加剧表示担忧,而老牌公司则抵制对其根深蒂固的市场地位的颠覆。在宏观层面上,数字化带来了更多的多样性和提高能源效率等好处,但也增加了数字排斥的风险,特别是对社会经济弱势群体和老年听众。分析表明,快速关闭调频可能会破坏广播市场的稳定,并破坏无线电服务的普及。该研究的结论是,成功的转型需要一个协商的政策过程,在这个过程中,政府平衡私人和公共利益、短期和长期成本以及相互竞争的技术途径。政策制定者不应将DAB+作为FM的主要继承者,而应采用平台中立和面向未来的监管框架,认识到技术发展的动态和不确定性。
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引用次数: 0
Does AI boost firm productivity? A web scraping and LLMs approach 人工智能能提高企业生产率吗?网络抓取和法学硕士方法
IF 6.4 2区 管理学 Q1 COMMUNICATION Pub Date : 2026-03-01 Epub Date: 2025-12-11 DOI: 10.1016/j.telpol.2025.103138
Ana Pastor-Merino , Xavier Martínez-Barbero , María R. Vicente , Josep Domenech
Artificial Intelligence (AI) is widely seen as a transformative technology with the potential to reshape firm productivity across sectors. However, empirical evidence on its actual impact at the firm level remains limited, mainly due to the lack of extensive firm-level data. Leveraging web scraping and Large Language Models (LLMs), this study develops a novel framework to detect and quantify AI adoption among 62,525 Spanish firms. The approach distinguishes between firms that adopt AI and those that integrate it intensively across business functions, constructing both binary and continuous measures of AI use. Using entropy-balanced instrumental variable estimations to address endogeneity, we find that AI-adopting firms exhibit approximately 53%–55% higher sales and 48% higher value added than comparable non-adopters. Moreover, increasing the intensity of AI use is associated with an even larger productivity premium of 74%–76% in sales and up to 67% in value added, highlighting the substantial returns from deeper AI integration. In dynamic terms, AI adoption is linked to 9%–13% faster annual sales growth. These findings provide evidence that AI significantly enhances firm performance, underscoring its role as a key driver of productivity growth.
人工智能(AI)被广泛视为一种变革性技术,有可能重塑各行业的企业生产力。然而,关于其在企业层面的实际影响的经验证据仍然有限,主要是由于缺乏广泛的企业层面数据。利用网络抓取和大型语言模型(llm),本研究开发了一个新的框架来检测和量化62,525家西班牙公司的人工智能采用情况。该方法区分了采用人工智能的公司和跨业务功能密集集成人工智能的公司,构建了人工智能使用的二元和连续度量。使用熵平衡的工具变量估计来解决内生性问题,我们发现采用人工智能的公司比未采用人工智能的公司表现出大约53%-55%的高销售额和48%的高附加值。此外,人工智能使用强度的增加与销售额的74%-76%的更大生产率溢价和高达67%的附加值相关,这突显了深度人工智能整合带来的巨大回报。从动态角度来看,人工智能的采用与年销售额增长9%-13%有关。这些发现为人工智能显著提高企业绩效提供了证据,强调了其作为生产率增长关键驱动力的作用。
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引用次数: 0
Internet use, gender role attitudes, and female labor market outcomes in rural China 互联网使用、性别角色态度与中国农村女性劳动力市场结果
IF 6.4 2区 管理学 Q1 COMMUNICATION Pub Date : 2026-03-01 Epub Date: 2025-11-11 DOI: 10.1016/j.telpol.2025.103108
Nanyan Hu, Yonghao Hu, Jinqian Zhai, Laping Wu
This study draws on seven waves of data from the China General Social Survey (CGSS) to examine the impact of Internet use on labor market outcomes among rural female in China. Employing both ordinary least squares (OLS) and two-stage least squares (2SLS) estimation strategies, we address potential endogeneity concerns and explore the underlying mechanisms of this relationship. The empirical results indicate that Internet use significantly improves rural female’s labor market outcomes by increasing their likelihood of engaging in off-farm employment, extending working hours, and raising annual wages. These positive effects are pronounced among female who are younger, have fewer children, and possess higher levels of education. Mechanism analysis shows that Internet use improves employment outcomes by promoting more egalitarian gender role attitudes. Moreover, Internet use improves the quality of female employment, primarily reflected in the signing of labor contracts, access to employment-related social security, and increased job satisfaction. By focusing on the often-overlooked group of rural female workers, this study contributes to the growing literature on digitalization and labor market outcomes, shedding light on the role of online access in promoting female’s economic empowerment.
本研究利用中国综合社会调查(CGSS)的七波数据来考察互联网使用对中国农村女性劳动力市场结果的影响。采用普通最小二乘(OLS)和两阶段最小二乘(2SLS)估计策略,我们解决了潜在的内生性问题,并探讨了这种关系的潜在机制。实证结果表明,互联网的使用通过增加农村女性从事非农就业的可能性、延长工作时间和提高年工资显著改善了农村女性的劳动力市场结果。这些积极影响在年轻、孩子少、教育水平高的女性中表现得尤为明显。机制分析表明,互联网使用通过促进更平等的性别角色态度来改善就业结果。此外,互联网的使用提高了女性的就业质量,主要体现在劳动合同的签订、获得与就业相关的社会保障以及工作满意度的提高。通过关注经常被忽视的农村女工群体,本研究为越来越多的关于数字化和劳动力市场结果的文献做出了贡献,揭示了在线访问在促进女性经济赋权方面的作用。
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引用次数: 0
Analyzing the dynamics of the SVOD market in the EU-27: Factors influencing user subscriptions and revenue growth 分析欧盟27国SVOD市场的动态:影响用户订阅和收入增长的因素
IF 6.4 2区 管理学 Q1 COMMUNICATION Pub Date : 2026-03-01 Epub Date: 2025-11-10 DOI: 10.1016/j.telpol.2025.103110
Athanasios Papathanasopoulos, Dimitris Varoutas
Subscription Video-on-Demand (SVOD) platforms play a dominant role within the European Over-the-Top (OTT) media landscape, securing a substantial share of the digital media market. This study investigates the key drivers behind SVOD growth across the EU-27, focusing on the convergence of broadband infrastructure, smart device adoption, and investment in original content from 2017 to 2023. Employing fixed-effects models and descriptive statistics, the analysis identifies the critical factors influencing SVOD market expansion, including fixed broadband subscriptions, average broadband speed, and the increasing proliferation of smart devices, specifically smartphones and smart remote controls. Findings reveal that SVOD platforms outperform alternative models such as Advertising-based Video-on-Demand (AVOD) and Transactional Video-on-Demand (TVOD) in revenue generation, despite AVOD leading in user adoption. Furthermore, the COVID-19 pandemic served as a catalyst for SVOD adoption, temporarily accelerating subscription rates and content consumption before user behavior normalized in the post-pandemic period. This study demonstrates that robust telecommunications infrastructure and smart technologies accelerate shifts in media consumption patterns and drive revenue growth.
订阅视频点播(SVOD)平台在欧洲OTT媒体领域占据主导地位,确保了数字媒体市场的巨大份额。本研究调查了欧盟27国SVOD增长背后的关键驱动因素,重点关注2017年至2023年宽带基础设施的融合、智能设备的采用和原创内容的投资。采用固定效应模型和描述性统计,该分析确定了影响SVOD市场扩张的关键因素,包括固定宽带用户、平均宽带速度以及智能设备(特别是智能手机和智能遥控器)的日益普及。调查结果显示,SVOD平台在创收方面优于其他模式,如基于广告的视频点播(AVOD)和交易视频点播(TVOD),尽管AVOD在用户采用率方面领先。此外,COVID-19大流行成为SVOD采用的催化剂,在大流行后用户行为正常化之前,暂时提高了订阅率和内容消费。这项研究表明,强大的电信基础设施和智能技术加速了媒体消费模式的转变,并推动了收入的增长。
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引用次数: 0
Network infrastructure and corporate development: A dual perspective on corporate social responsibility performance and productivity performance 网络基础设施与企业发展:企业社会责任绩效与生产力绩效的双重视角
IF 6.4 2区 管理学 Q1 COMMUNICATION Pub Date : 2026-03-01 Epub Date: 2025-11-29 DOI: 10.1016/j.telpol.2025.103127
Yuhong Huang , Mudan Lan
This paper systematically evaluates the microeconomic effects of network infrastructure from the dual perspectives of corporate social responsibility (CSR) performance and productivity performance. By utilizing the “Broadband China” policy as an exogenous shock, a difference-in-differences model is constructed. Based on 2010–2023 microdata on Chinese A-share listed companies, the empirical results indicate that network infrastructure enhances CSR performance and productivity performance, with this effect being more pronounced for enterprises operating within regions with an underdeveloped digital economy, non-high-tech industries, and firms characterized by higher human capital levels. This conclusion remains after endogeneity concerns are addressed and robustness tests are conducted. Mechanism analysis suggests that network infrastructure facilitates corporate digital transformation and alleviates financing constraints, ultimately improving social responsibility performance and productivity performance. The findings of this study underscore the critical value of enhancing network infrastructure in emerging market economies and enrich the understanding of the factors influencing corporate development.
本文从企业社会责任绩效和生产力绩效的双重视角系统评价了网络基础设施的微观经济效应。利用“宽带中国”政策作为外生冲击,构建了一个“差中差”模型。基于2010-2023年中国a股上市公司微观数据,实证结果表明,网络基础设施对企业社会责任绩效和生产力绩效有提升作用,且在数字经济不发达地区、非高新技术产业地区和人力资本水平较高地区的企业中,这种效应更为明显。这一结论仍然是内生性问题的解决和稳健性测试进行后。机制分析表明,网络基础设施促进企业数字化转型,缓解融资约束,最终提高企业社会责任绩效和生产力绩效。本研究结果强调了新兴市场经济体加强网络基础设施的重要性,并丰富了对企业发展影响因素的理解。
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引用次数: 0
Artificial intelligence in the music streaming value chain: Exploring artists' and users’ perceptions on content creation and algorithmic consumption 音乐流媒体价值链中的人工智能:探索艺术家和用户对内容创作和算法消费的看法
IF 6.4 2区 管理学 Q1 COMMUNICATION Pub Date : 2026-03-01 Epub Date: 2025-12-05 DOI: 10.1016/j.telpol.2025.103129
Alberto Arenal , Juan Miguel Aguado , Cristina Armuña , Sergio Ramos , Claudio Feijoo
Artificial Intelligence (AI) plays a pivotal role throughout every stage of the music industry value chain. In fact, AI has been integral to the value proposition of music streaming platforms since their inception. This research article investigates how AI—and in particular, Generative AI (GenAI)—affects the creation and consumption stages, the two most socially significant components of the music streaming value chain. It explores users’ perceptions of the impact of AI/GenAI on their music-listening experience and examines how artists and performers view the role and influence of AI on their position and opportunities within the streaming model. Drawing on the findings from two separate focus groups with users and artists/performers from different geographies and professional development, this study complements industry debates—often dominated by technology companies and record and publishing firms—by providing valuable insights into the perceptions at both ends of the music industry value chain regarding the impact of these technologies on music creation, dissemination, and consumption. As key findings, while users exhibited a nuanced response to AI-generated music, both existing literature and insights from artists and performers suggest that AI may further amplify the endemic dysfunctions of music streaming platforms, arising governance issues and ethical concerns, particularly regarding to transparency. In addition, both groups highlighted a significant paradox: while AI has the potential to democratise music creation by lowering barriers to entry, it also poses a threat to the existing ecosystem of music professionals, which have relevant implications in terms of the role of culture in societies, policy and practice.
人工智能(AI)在音乐产业价值链的每个阶段都发挥着关键作用。事实上,自音乐流媒体平台成立以来,人工智能一直是其价值主张的组成部分。这篇研究文章探讨了人工智能——尤其是生成式人工智能(GenAI)——如何影响音乐流媒体价值链中最具社会意义的两个组成部分——创作和消费阶段。它探讨了用户对AI/GenAI对他们的音乐聆听体验的影响的看法,并研究了艺术家和表演者如何看待AI对他们在流媒体模式中的地位和机会的作用和影响。根据来自不同地区和专业发展的用户和艺术家/表演者的两个独立焦点小组的调查结果,本研究通过对音乐产业价值链两端关于这些技术对音乐创作、传播和消费的影响的看法提供有价值的见解,补充了行业辩论——通常由技术公司和唱片出版公司主导。作为主要发现,虽然用户对人工智能生成的音乐表现出微妙的反应,但现有的文献和艺术家和表演者的见解都表明,人工智能可能会进一步放大音乐流媒体平台的地方性功能失调,引发治理问题和伦理问题,特别是在透明度方面。此外,这两个小组都强调了一个重要的悖论:虽然人工智能有可能通过降低进入门槛来实现音乐创作的民主化,但它也对现有的音乐专业人士生态系统构成了威胁,这对文化在社会、政策和实践中的作用产生了相关影响。
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Telecommunications Policy
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