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

IF 6.5 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Fernanda Odilla, Alice Mattoni
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引用次数: 0

摘要

罗西是一个机器人,由精通技术的公民开发,它可以自动检查巴西下议院当选代表的公共支出,并使用Twitter与人们讨论可疑的发现。罗西是“爱的小夜曲行动”(opera o Serenata de Amor)最引人关注的面孔,这是一个以数据为基础的行动主义倡议,围绕开放数据的创造、使用和传播,让政治家承担责任,并赋予公民权力,反对滥用公共资金。本文利用原始数据集——包括访谈、参与者在线观察笔记和二手定性材料——来研究歌剧《爱的Serenata》,重点关注与人类和非人类行动者相关的物质和符号元素如何塑造这类倡议的组织模式。研究结果表明,有三种组织模式,每一种都有进一步的具体挑战,基于三种参与模式的存在,这些模式依赖于与数字技术和数据的不同类型的接触。研究结果表明,数据支持的行动主义可能具有科技初创公司的典型特征和价值观,例如创建可持续预算的目标,并通过用户反馈验证提供战略性内容,同时也保留了在线行动主义的一些特征,例如关注特定争议问题的高度自主行为者的临时和临时网络。在这方面,opera o Serenata de Amor的发起人由于商业价值而最终解散,并努力保持其活跃和参与,这可以被视为数据支持行动主义的警示故事,特别是与公民创新和社会科技初创公司密切相关的倡议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling the layers of data activism: The organising of civic innovation to fight corruption in Brazil
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.
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来源期刊
Big Data & Society
Big Data & Society SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
10.90
自引率
10.60%
发文量
59
审稿时长
11 weeks
期刊介绍: Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government. BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices. BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.
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