Big Data & Society最新文献_第2页

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

Big Data & Society Pub Date : 2023-07-01 DOI: 10.1177/20539517231202983

Aurora Zhang

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

Big Data & Society Pub Date : 2023-07-01 DOI: 10.1177/20539517231210278

Chris Till

{"title":"Spotify as a technology for integrating health, exercise and wellness practices into financialised capitalism","authors":"Chris Till","doi":"10.1177/20539517231210278","DOIUrl":"https://doi.org/10.1177/20539517231210278","url":null,"abstract":"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.","PeriodicalId":47834,"journal":{"name":"Big Data & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135857027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Big Data & Society Pub Date : 2023-07-01 DOI: 10.1177/20539517231210272

Wonyoung So, Catherine D’Ignazio

{"title":"Race-neutral vs race-conscious: Using algorithmic methods to evaluate the reparative potential of housing programs","authors":"Wonyoung So, Catherine D’Ignazio","doi":"10.1177/20539517231210272","DOIUrl":"https://doi.org/10.1177/20539517231210272","url":null,"abstract":"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.”","PeriodicalId":47834,"journal":{"name":"Big Data & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135857751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Big Data & Society Pub Date : 2023-07-01 DOI: 10.1177/20539517231203669

Shiloh Deitz

{"title":"Outlier bias: AI classification of curb ramps, outliers, and context","authors":"Shiloh Deitz","doi":"10.1177/20539517231203669","DOIUrl":"https://doi.org/10.1177/20539517231203669","url":null,"abstract":"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.","PeriodicalId":47834,"journal":{"name":"Big Data & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135813043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Big Data & Society Pub Date : 2023-07-01 DOI: 10.1177/20539517231206809

Xiaojuan Zhang, Farhan Khan, Xiaoguang Wang, Changle Tang

{"title":"Exploring the impact of national culture on the development of open government data: A cross-cultural analysis","authors":"Xiaojuan Zhang, Farhan Khan, Xiaoguang Wang, Changle Tang","doi":"10.1177/20539517231206809","DOIUrl":"https://doi.org/10.1177/20539517231206809","url":null,"abstract":"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.","PeriodicalId":47834,"journal":{"name":"Big Data & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135856436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Big Data & Society Pub Date : 2023-07-01 DOI: 10.1177/20539517231208455

Jillian Crandall

{"title":"Living on the block: How equitable is tokenized equity?","authors":"Jillian Crandall","doi":"10.1177/20539517231208455","DOIUrl":"https://doi.org/10.1177/20539517231208455","url":null,"abstract":"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.","PeriodicalId":47834,"journal":{"name":"Big Data & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135857031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Big Data & Society Pub Date : 2023-07-01 DOI: 10.1177/20539517231206804

Anoush Margaryan

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

Big Data & Society Pub Date : 2023-07-01 DOI: 10.1177/20539517231205476

Onur Bakiner

{"title":"The promises and challenges of addressing artificial intelligence with human rights","authors":"Onur Bakiner","doi":"10.1177/20539517231205476","DOIUrl":"https://doi.org/10.1177/20539517231205476","url":null,"abstract":"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.","PeriodicalId":47834,"journal":{"name":"Big Data & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135851814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The affordances of extreme speech 极端言论的启示

1区社会学

Big Data & Society Pub Date : 2023-07-01 DOI: 10.1177/20539517231206810

Emillie de Keulenaar

引用次数: 0

Unveiling the layers of data activism: The organising of civic innovation to fight corruption in Brazil 揭开数据行动主义的层层面纱:组织公民创新来打击巴西的腐败

1区社会学

Big Data & Society Pub Date : 2023-07-01 DOI: 10.1177/20539517231190078

Fernanda Odilla, Alice Mattoni

{"title":"Unveiling the layers of data activism: The organising of civic innovation to fight corruption in Brazil","authors":"Fernanda Odilla, Alice Mattoni","doi":"10.1177/20539517231190078","DOIUrl":"https://doi.org/10.1177/20539517231190078","url":null,"abstract":"Developed by tech-savvy citizens, Rosie is a bot that autonomously checks the public spending of elected representatives of the Brazilian Lower Chamber and uses Twitter to engage peoplein discussing suspicious findings. Rosie is the most visible face of Operação Serenata de Amor (Operation Love Serenade), a data-enabled activism initiative that revolves around the creation, use and dissemination of open data to hold politicians accountable and empower citizens to react against the misuse of public funds. The article draws on an original data set – including interviews, participant online observation notes and secondary qualitative materials – to examine Operação Serenata de Amor, focusing on how material and symbolic elements related to both human and non-human actors shape the organisational patterns of this type of initiative. The findings suggest that there are three organisational patterns, each with further specific challenges, based on the presence of three modes of participation that depend on different types of engagement with digital technologies and data. Findings indicate that data-enabled activism can emerge with typical characteristics and values of tech startups, such as the goal of creating a sustainable budget and providing strategic content by validating it with user feedback, while also retaining some traits of online activism, such as ad hoc and temporal networks of highly autonomous actors concerned with specific contentious issues. In this respect, the eventual demobilisation of Operação Serenata de Amor's initiators due to commercial values and struggles to maintain it active and engaging can be seen as a cautionary tale for data-enabled activism, particularly for initiatives closely associated with civic innovation and social tech startups.","PeriodicalId":47834,"journal":{"name":"Big Data & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135857033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0