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The after party: Cynical resignation in Adtech's pivot to privacy 会后派对:广告科技转向隐私的玩世不恭的辞职
1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.1177/20539517231203665
Lee McGuigan, Sarah Myers West, Ido Sivan-Sevilla, Patrick Parham
Digital advertising and technology companies are resigned to a new privacy imperative. They are bracing for a world where third-party tracking will be restricted by design or by law. Digital resignation typically refers to how companies cultivate a sense of powerlessness about privacy among internet users. Our paper looks through this optic from the other end of the lens: How is the digital advertising industry coping with the increasing salience of privacy? Recent developments have forced companies to implement “privacy-preserving” designs—or at least promise some semblance of privacy. Yet, the industry remains dependent on flows of data and means of identification to enable still-desired targeting, measurement, and optimization. Our paper analyzes this contradiction by looking at systems that aim to replicate existing functionalities while protecting user “privacy.” We call this a form of “cynical resignation” and characterize its key maneuvers as follows: (a) sanitizing surveillance; (b) party-hopping; and (c) sabotage. We argue that this “cynical resignation” to a privacy imperative represents a policy failure. In the absence of decisive interventions into the underlying business models of data capitalism, companies offer techno-solutionism and self-regulations that seem to conform to new laws and norms while reinforcing commitments to data-driven personalization. This may benefit the largest tech companies, since their privileged access to first-party data will make more companies reliant on them, and their computational power will be even more valuable in a world where modeling is used to compensate for the loss of third-party data and traditional methods of personal identification.
数字广告和科技公司不得不屈从于新的隐私要求。他们正准备迎接一个第三方追踪将受到设计或法律限制的世界。数字辞职通常指的是企业如何在互联网用户中培养一种对隐私无能为力的感觉。我们的论文从另一个角度来看待这个问题:数字广告业如何应对日益突出的隐私问题?最近的发展迫使公司实施“保护隐私”的设计——或者至少承诺一些表面上的隐私。然而,该行业仍然依赖于数据流和识别手段来实现仍然期望的目标、测量和优化。我们的论文通过观察旨在复制现有功能同时保护用户“隐私”的系统来分析这种矛盾。我们称之为一种“玩世不恭的辞职”,并将其关键操作描述为:(a)消毒监视;(b)次之;(三)蓄意破坏。我们认为,这种对隐私要求的“玩世不恭的辞职”代表着政策的失败。在缺乏对数据资本主义潜在商业模式的决定性干预的情况下,公司提供的技术解决方案和自我监管似乎符合新的法律和规范,同时加强对数据驱动的个性化的承诺。这可能会使大型科技公司受益,因为它们对第一方数据的特权访问将使更多的公司依赖它们,而且在一个利用建模来弥补第三方数据和传统个人识别方法损失的世界里,它们的计算能力将更加有价值。
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引用次数: 1
Redress and worldmaking: Differing approaches to algorithmic reparations for housing justice 补救和世界构建:住房正义的算法补偿的不同方法
1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.1177/20539517231202983
Aurora Zhang
A reparative approach to algorithmic justice provides a compelling alternative to existing fairness-based frameworks, which are often inadequate for challenging the technological perpetuation of unjust social hierarchies. The definition of “reparations,” however, is philosophically contested. I discuss two interrelated but distinct notions of reparations: reparations as accountability and redress for past injustice, and reparations as a constructive worldmaking project focused on present and future justice. Each of these perspectives offers different recommendations and provocations for how to implement algorithmic reparations. I apply this to a case study of housing injustice in the US and offer three interpretations of “algorithmic reparations” in context: first, we can litigate instances of algorithmic discrimination in housing. Second, we can use computational methods to compute damages and demand redress for structural housing injustice in the past. Finally, we can repurpose algorithmic methods to imagine more radical resistance efforts that connect incremental reform to large-scale structural change for the future.
对算法正义的修复方法为现有的基于公平的框架提供了一个令人信服的替代方案,这些框架通常不足以挑战不公正的社会等级制度的技术永久化。然而,“赔偿”的定义在哲学上是有争议的。我讨论了两个相互关联但截然不同的赔偿概念:赔偿是对过去不公正的问责和补救,赔偿是一个建设性的世界建设项目,重点关注现在和未来的正义。每一种观点都为如何实现算法补偿提供了不同的建议和启发。我将此应用于美国住房不公平的案例研究,并在此背景下对“算法赔偿”提供了三种解释:首先,我们可以对住房方面的算法歧视提起诉讼。其次,我们可以使用计算方法来计算损失,并要求纠正过去的结构性住房不公正。最后,我们可以重新利用算法方法来想象更激进的抵抗努力,将渐进式改革与未来的大规模结构变革联系起来。
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引用次数: 0
Spotify as a technology for integrating health, exercise and wellness practices into financialised capitalism Spotify是一种将健康、锻炼和健康实践融入金融化资本主义的技术
1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.1177/20539517231210278
Chris Till
Spotify dominates the audio streaming industry and offers an almost limitless library of music and other ‘sounds’. They have recently made various interventions into health, exercise and wellness with the development of curated and personalised playlists focused on activities such as running, weightlifting and meditation and guided workouts interspersed with algorithmically generated playlists. This article suggests that the company are developing new means of datafying health, exercise and wellness practices such as monitoring activities, heart rate, mood and broadly the rhythms and tempos of their lives. While this is presented as beneficial to users to provide a more personalised experience, analysis of patent applications, financial statements and promotional materials targeting advertisers and investors suggest other objectives. Audio consumption is combined with the newly datafied activities to ‘bundle’ users into ‘audience commodities’ to be sold to advertisers. Furthermore, such innovations, and the potential to attract advertisers, form the materials through which Spotify construct stories to potential investors about the future profitability, or at least growth in market value, of the company essential for firms integrated into ‘financialised capitalism’. This represents a further opening up of aspects of everyday lives to commercial exploitation through datafication and contributes to an attempt to reposition health-related practices as assets which can be packaged for investment portfolios. The publications analysed in this article demonstrate some of the ways in which Spotify seek to both monitor and shape practices of users to make them more amenable to financialisation.
Spotify主导着音频流媒体行业,提供几乎无限的音乐和其他“声音”库。他们最近对健康、运动和健康进行了各种干预,开发了精心策划和个性化的播放列表,重点关注跑步、举重和冥想等活动,并在算法生成的播放列表中穿插了有指导的锻炼。这篇文章表明,该公司正在开发新的方法来记录健康、锻炼和健康实践,比如监测活动、心率、情绪,以及更广泛的生活节奏和节奏。虽然这被认为有利于用户提供更个性化的体验,但对专利申请、财务报表和针对广告商和投资者的宣传材料的分析表明,还有其他目的。音频消费与新的数据化活动相结合,将用户“捆绑”成“受众商品”,然后出售给广告商。此外,这些创新,以及吸引广告商的潜力,构成了Spotify向潜在投资者讲述公司未来盈利能力的材料,或者至少是市场价值增长的材料,这对融入“金融化资本主义”的公司至关重要。这代表着日常生活的各个方面通过数据化进一步向商业开发开放,并有助于将与健康有关的做法重新定位为可打包用于投资组合的资产。本文分析的出版物展示了Spotify试图监控和塑造用户行为的一些方法,以使他们更容易接受金融化。
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引用次数: 0
Race-neutral vs race-conscious: Using algorithmic methods to evaluate the reparative potential of housing programs 种族中立vs种族意识:使用算法方法评估住房项目的修复潜力
1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.1177/20539517231210272
Wonyoung So, Catherine D’Ignazio
The racial wealth gap in the United States remains a persistent issue; white individuals possess six times more wealth than Black individuals. Leading scholars and public figures have pointed to slavery and post-slavery discrimination as root cause factors and called for reparations. Yet the institutionalization of race-neutral ideologies in policies and practices hinders a reparative approach to closing the racial wealth gap. This study models the use of algorithmic methods in the service of reparations to Black Americans in the domain of housing, where most American wealth is built. We examine a hypothetical scenario for measuring the effectiveness of race-conscious Special Purpose Credit Programs (SPCPs) in reducing the housing racial wealth gap compared to race-neutral SPCPs. We use a predictive model to show that race-conscious, people-based lending programs, if they were nationally available, would be two to three times more effective in closing the racial housing wealth gap than other, existing forms of SPCPs. In doing so, we also demonstrate the potential for using algorithms and computational methods to support outcomes aligned with movements for reparations, another possible meaning for the emerging discourse on “algorithmic reparations.”
美国的种族贫富差距仍然是一个长期存在的问题;白人拥有的财富是黑人的六倍。著名学者和公众人物指出,奴隶制和奴隶制后的歧视是根本原因,并要求赔偿。然而,在政策和实践中将种族中立的意识形态制度化,阻碍了缩小种族贫富差距的补偿性方法。这项研究模拟了在住房领域使用算法方法为美国黑人提供赔偿,这是美国大多数财富的来源。我们研究了一个假设的场景来衡量种族意识特殊目的信贷计划(spcp)在减少住房种族贫富差距方面的有效性,与种族中立的spcp相比。我们使用一个预测模型来表明,如果在全国范围内实施具有种族意识的、以人为基础的贷款项目,在缩小种族住房贫富差距方面的效果将是其他现有形式的spc的两到三倍。在此过程中,我们还展示了使用算法和计算方法来支持与赔偿运动一致的结果的潜力,这是“算法赔偿”新兴话语的另一种可能含义。
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引用次数: 0
Outlier bias: AI classification of curb ramps, outliers, and context 异常值偏差:人工智能对路边坡道、异常值和环境的分类
1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.1177/20539517231203669
Shiloh Deitz
Technologies in the smart city, such as autonomous vehicles and delivery robots, promise to increase the mobility and freedom of people with disabilities. These technologies have also failed to “see” or comprehend wheelchair riders, people walking with service animals, and people walking with bicycles—all outliers to machine learning models. Big data and algorithms have been amply critiqued for their biases—harmful and systematic errors—but the harms that arise from AI's inherent inability to handle nuance, context, and exception have been largely overlooked. In this paper, I run two machine learning models across nine cities in the United States to attempt to fill a gap in data about the location of curb ramps. I find that while curb ramp prediction models may achieve up to 88% accuracy, the rate of accuracy varied in context in ways both predictable and unpredictable. I look closely at cases of unpredictable error (outlier bias), by triangulating with aerial and street view imagery. The sampling of cases shows that while it may be possible to conjecture about patterns in these errors, there is nothing clearly systematic. While more data and bigger models might improve the accuracy somewhat, I propose that a bias toward outliers is something fundamental to machine learning models which gravitate to the mean and require unbiased and not missing data. I conclude by arguing that universal design or design for the outliers is imperative for justice in the smart city where algorithms and data are increasingly embedded as infrastructure.
智能城市中的技术,如自动驾驶汽车和送货机器人,有望增加残疾人的移动性和自由度。这些技术也未能“看到”或理解坐轮椅的人,与服务性动物一起行走的人,以及骑自行车的人——这些都是机器学习模型的异常值。大数据和算法因其偏见——有害的和系统性的错误——而受到了广泛的批评,但人工智能固有的无法处理细微差别、背景和异常所带来的危害在很大程度上被忽视了。在这篇论文中,我在美国的九个城市运行了两个机器学习模型,试图填补关于路边坡道位置的数据空白。我发现,虽然路边匝道预测模型的准确率可以达到88%,但准确率在可预测和不可预测的情况下会有所不同。我通过对航拍和街景图像进行三角测量,密切关注不可预测错误(异常偏差)的情况。案例的抽样表明,虽然有可能推测出这些错误的模式,但没有明显的系统性。虽然更多的数据和更大的模型可能会在一定程度上提高准确性,但我认为对异常值的偏见是机器学习模型的基础,它倾向于平均值,需要无偏和不丢失数据。最后,我认为,在算法和数据越来越多地作为基础设施嵌入的智能城市中,通用设计或为异常值设计对于实现正义至关重要。
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引用次数: 0
Exploring the impact of national culture on the development of open government data: A cross-cultural analysis 国家文化对政府数据开放发展的影响:跨文化分析
1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.1177/20539517231206809
Xiaojuan Zhang, Farhan Khan, Xiaoguang Wang, Changle Tang
The development of open government data has attracted interest from academics and practitioners. However, only a few studies have examined a culture-based account of open government data development. This study empirically investigates the impact of national culture on open government data. Through the data investigation and analysis of 55 countries, this research finds that the development of open government data is positively linked with national culture with respect to individualism, indulgence and long-term orientation and is negatively related to power distance. Furthermore, this study shows that economic development moderates the relationship between national culture and open government data development, especially with respect to individualism and long-term orientation. Practically, the findings of this research can help policymakers better understand the multifaceted impacts of national culture on the development of open government data, including the promotion of cultural values (i.e. high individualism, high indulgence, and high long-term orientation) and the change in the passive and conservative attitude of citizens toward the openness of government data in countries where power distance culture is high.
政府数据开放的发展已经引起了学术界和实践者的兴趣。然而,只有少数研究考察了基于文化的政府开放数据开发账户。本研究实证考察了民族文化对政府公开数据的影响。本研究通过对55个国家的数据调查分析发现,政府开放数据的发展与民族文化在个人主义、放纵和长期取向方面正相关,与权力距离负相关。此外,经济发展调节了民族文化与政府开放数据发展之间的关系,特别是在个人主义和长期取向方面。实际上,本研究的发现可以帮助决策者更好地理解民族文化对政府数据开放发展的多方面影响,包括在权力距离文化高的国家,文化价值观(即高度个人主义、高度放纵、高度长期导向)的提升,以及公民对政府数据开放的被动、保守态度的改变。
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引用次数: 0
Living on the block: How equitable is tokenized equity? 生活在街区:代币化权益有多公平?
1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.1177/20539517231208455
Jillian Crandall
Recently blockchain has become a tool for spatial coordination and appropriation. Globally, the tokenization of land and housing has led to new forms of datafication and increased financialization. In the case of land non-fungible tokens), security token offerings, and blockchain-based real estate investment trusts, blockchains act as exclusionary digital platforms, with new socio-technical assemblages emerging as complex predatory formations of speculation that are intentionally obfuscatory and difficult to regulate. With the security token offering, crowdfunding and venture capital are combined with cryptocurrency to create a “tokenized venture capital fund” tied to tangible assets, such as ownership rights in housing, real estate, or land. Distributed ledgers are proposed to be used as the digital technology underlying new forms of land/property documentation, ownership, and inhabitation – from conducting and recording land surveys and title creation to transference of land/property rights. This paper addresses the question: how equitable is tokenized equity – does it prioritize the right to the city for all or to all but a very few? This paper looks toward the means of contestation against extractive crypto-settlements, speculation, and housing financialization, critically comparing a range of proposed distributed ledger technology projects that claim to inject equity in the system, pose alternative housing economies, or leverage distributed ledgers for land rights and data sovereignty. I question the utility and limits of datafication and explore how engaging with digital technology – with or without distributed ledgers – can raise awareness and enact alternative forms of housing and land stewardship, from cooperativism to Community Land Trusts and to counter-hegemonic commoning practices.
最近区块链已经成为空间协调和占用的工具。在全球范围内,土地和住房的代币化导致了新形式的数据化和金融化。在土地(不可替代的代币)、证券代币产品和基于区块链的房地产投资信托的情况下,区块链充当了排他性的数字平台,新的社会技术组合成为复杂的掠夺性投机形式,这些投机形式故意模糊且难以监管。通过证券代币发行,众筹和风险投资与加密货币相结合,创建了一个与有形资产(如住房、房地产或土地的所有权)挂钩的“代币化风险投资基金”。分布式账本被提议用作新形式土地/财产文件、所有权和居住的数字技术基础——从进行和记录土地调查和所有权创建到土地/产权转让。本文解决了这样一个问题:代币化的股权有多公平——它是优先考虑所有人对城市的权利,还是优先考虑除了极少数人之外的所有人?本文探讨了反对采掘式加密结算、投机和住房金融化的争论手段,批判性地比较了一系列拟议的分布式账本技术项目,这些项目声称在系统中注入股权,构成替代住房经济,或利用分布式账本获得土地权利和数据主权。我对数据化的效用和局限性提出了质疑,并探讨了如何利用数字技术——无论是否使用分布式账本——提高人们的意识,并制定其他形式的住房和土地管理,从合作主义到社区土地信托,再到反霸权的共同实践。
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引用次数: 0
Artificial intelligence and skills in the workplace: An integrative research agenda 工作场所的人工智能和技能:一个综合研究议程
1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.1177/20539517231206804
Anoush Margaryan
The development and diffusion of artificial intelligence (AI) technologies in workplaces are transforming the nature of work practices and their constituent skill requirements. This dual transformation is challenging for workers, organisations and societies, who are faced with the need to develop and enhance extant and new skills required to succeed in increasingly AI-mediated work settings. Although literature has recognised skills as a key factor in the development and uptake of AI technologies, there has been paucity of empirical research on the precise nature of skill requirements in AI-mediated workplaces. This commentary argues that to advance our understanding of skill requirements in AI-mediated workplaces, an integrative, multidisciplinary, multimethod and multistakeholder approach is required. The commentary proposes an agenda for future research in this societally important but poorly understood area.
人工智能(AI)技术在工作场所的发展和传播正在改变工作实践的性质及其构成技能要求。这种双重转变对工人、组织和社会来说是一项挑战,他们需要发展和加强现有技能和新技能,以便在日益以人工智能为媒介的工作环境中取得成功。尽管文献已经认识到技能是开发和采用人工智能技术的关键因素,但对于人工智能介导的工作场所中技能要求的确切性质,缺乏实证研究。这篇评论认为,为了提高我们对人工智能介导的工作场所技能要求的理解,需要一种综合的、多学科的、多方法的和多利益相关者的方法。评论提出了一个议程,未来的研究在这个重要的社会,但知之甚少的领域。
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引用次数: 0
The promises and challenges of addressing artificial intelligence with human rights 用人权来解决人工智能的承诺和挑战
1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.1177/20539517231205476
Onur Bakiner
This paper examines the potential promises and limitations of the human rights framework in the age of AI. It addresses the question: what, if anything, makes human rights well suited to face the challenges arising from new and emerging technologies like AI? It argues that the historical evolution of human rights as a series of legal norms and concrete practices has made it well placed to address AI-related challenges. The human rights framework should be understood comprehensively as a combination of legal remedies, moral justification, and political analysis that inform one another. Over time, the framework has evolved in ways that accommodate the balancing of contending rights claims, using multiple ex ante and ex post facto mechanisms, involving government and/or business actors, and in situations of diffuse responsibility that may or may not result from malicious intent. However, the widespread adoption of AI technologies pushes the moral, sociological, and political boundaries of the human rights framework in other ways. AI reproduces long-term, structural problems going beyond issue-by-issue regulation, is embedded within economic structures that produce cumulative negative effects, and introduces additional challenges that require a discussion about the relationship between human rights and science & technology. Some of the reasons for why AI produces problematic outcomes are deep rooted in technical intricacies that human rights practitioners should be more willing than before to get involved in.
本文探讨了人工智能时代人权框架的潜在承诺和局限性。它解决了这样一个问题:如果有的话,是什么让人权非常适合面对人工智能等新兴技术带来的挑战?报告认为,人权作为一系列法律规范和具体实践的历史演变,使其能够很好地应对与人工智能相关的挑战。人权框架应被全面理解为法律补救、道德辩护和政治分析三者的结合,它们相互促进。随着时间的推移,该框架已演变成能够平衡相互冲突的权利要求的方式,使用多种事前和事后机制,涉及政府和/或商业行为者,以及可能或可能不是由恶意意图造成的责任分散的情况。然而,人工智能技术的广泛采用以其他方式推动了人权框架的道德、社会学和政治界限。人工智能再现了长期的结构性问题,超出了逐个问题的监管范围,嵌入了产生累积负面影响的经济结构中,并引入了额外的挑战,需要讨论人权与科学之间的关系。技术。人工智能产生问题结果的一些原因深深植根于技术的复杂性,人权从业者应该比以前更愿意参与其中。
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引用次数: 0
The affordances of extreme speech 极端言论的启示
1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.1177/20539517231206810
Emillie de Keulenaar
New media studies invested in online political conflict, radical and antagonistic subcultures have taken an interest in the affordances that shape memes, vernaculars and online political communication. One often overlooked affordance is the ensemble of social, communication, platform and legal frameworks stipulating what users can and cannot say, which I call “speech affordances.” To explore this concept, I look at the strategic communication of 4chan, Twitter and YouTube subcultures tied to a historical meme, “Kekistan,” often perceived as a key example of the ideological cacophony of the 2015–2017 online “culture wars.” I focus on how 4chan's policy of user anonymity, YouTube's unmoderated comment sections and Twitter's more proactive moderation practices brought some influencers to alter the original connotations of the meme into “overt” messages tolerable to Twitter and YouTube out-groups and platform moderation policies. Speech affordances bear methodological implications for historical studies of speech moderation and the overall mechanisms in which problematic language adapts to spaces with distinct speech norms.
研究网络政治冲突、激进和敌对亚文化的新媒体研究对形成模因、方言和网络政治交流的启示产生了兴趣。一个经常被忽视的功能支持是社交、沟通、平台和法律框架的集合,这些框架规定了用户能说什么和不能说什么,我称之为“语音支持”。为了探索这个概念,我研究了4chan、Twitter和YouTube亚文化与一个历史梗“keistan”的战略沟通,这个梗通常被视为2015-2017年在线“文化战争”中意识形态不和谐的一个重要例子。我关注的是4chan的用户匿名政策、YouTube未经审核的评论区和Twitter更主动的审核做法是如何让一些有影响力的人将meme的原始内涵改变为Twitter和YouTube外群和平台审核政策可以容忍的“公开”信息的。言语启示对言语调节的历史研究和问题语言适应不同言语规范空间的整体机制具有方法论意义。
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引用次数: 0
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Big Data & Society
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