In this article, we present an alternative framework that resists hegemonic social sciences within data-driven communication theorizing through a culture-centered approach (CCA). Building on the CCA in co-creating voice infrastructures at the margins, we argue that data justice requires transforming interpretive data framings, disrupting the hegemonic registers of knowledge production constituted around data, and working with/through data to challenge the structures of capitalism and colonialism that circulate the practices of exploitation and extraction. We build upon community-engaged projects emergent from the CCA in/with/from the Global South to propose the CODE^SHIFT Model, grounded in principles of equity-mindedness, collective impact, purposiveness, and systemic change. It highlights what data justice looks like in various stages of community-led transformation: identifying pressing social problems; bridging cross-sector coalitions and partnerships; organizing for collective impact activities; and sustaining capacity building. We reframe data as pluriversal, embodied, sacred, sovereign, disruptive, solidarity, and impossibility.

中文翻译：

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CODE^SHIFT 模型：集体影响和社会转型的数据正义框架


在本文中，我们提出了一种替代框架，通过以文化为中心的方法（CCA）在数据驱动的传播理论中抵制霸权社会科学。在共同创建边缘语音基础设施的 CCA 基础上，我们认为数据正义需要转变解释性数据框架，破坏围绕数据构成的知识生产的霸权记录，并利用/通过数据挑战资本主义和殖民主义的结构传播开采和开采的做法。我们以来自南半球 CCA 的社区参与项目为基础，提出了 CODE^SHIFT 模型，该模型基于公平意识、集体影响、目的性和系统性变革的原则。它强调了数据正义在社区主导的转型的各个阶段的样子：识别紧迫的社会问题；建立跨部门联盟和伙伴关系；组织集体影响活动；和持续的能力建设。我们将数据重新定义为多元的、具身的、神圣的、主权的、破坏性的、团结的和不可能的。