Sculpting the social algorithm for radical futurity

IF 4.7 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE AI & Society Pub Date : 2023-09-13 DOI:10.1007/s00146-023-01760-8
Anisa Matthews
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Abstract

Social media has revolutionized the way information is distributed throughout society, as folks continue to rely entirely on these apps for information on current events, health protocols, and socio-political discussions. However, these containers of knowledge do not appear in the same shape for every user; Algorithms, informed by capitalist agendas, determine what information sifts through its networks and to whom. Data scientists, researchers, and activists have dissected the hidden mechanics fueling these popular platforms, inciting critical conversations around the harmful biases embedded in algorithms. These studies often skim the surface of how these algorithms digitally marginalize people of color, if acknowledging it at all. Even fewer have attempted to examine the role these algorithms play in the social activism and digital community organizing happening amongst communities of color via social media. Referring to indigenous scholar Marisa Elena Duarte’s book Network Sovereignty as a framework of thought, this paper roots itself in the notion that technology is an extension of the agenda utilizing it. Through dissecting the algorithmic structures of popular social platforms among communities of color, this paper examines how social media distributes information within its networks and how its encoded biases silence Black, brown, and indigenous voices. This paper also provides insight into how BIPOC content-creators, when informed on how the algorithms work, can use these platforms to their advantage and effectively facilitate socio-political discourse online; Changing the narrative of social networks from being yet another landscape of white supremacy to instead a communal canvas for radical change.

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为激进的未来塑造社会算法
社交媒体彻底改变了信息在整个社会中的传播方式,因为人们继续完全依赖这些应用程序来获取有关时事、健康协议和社会政治讨论的信息。然而,这些知识容器并不是以相同的形状呈现给每个用户;受资本主义议程影响的算法,决定了哪些信息会通过资本主义网络筛选,以及筛选给谁。数据科学家、研究人员和活动人士剖析了推动这些流行平台的隐藏机制,引发了围绕算法中嵌入的有害偏见的批判性讨论。这些研究往往只触及这些算法如何在数字上边缘化有色人种的表面,如果它们承认这一点的话。更少的人试图研究这些算法在社会行动主义和数字社区组织中通过社交媒体在有色人种社区中发挥的作用。本文以本土学者玛丽莎·埃琳娜·杜阿尔特的著作《网络主权》为思想框架,立足于技术是利用它的议程的延伸这一概念。通过剖析有色人种社区中流行的社交平台的算法结构,本文研究了社交媒体如何在其网络中分发信息,以及其编码偏见如何压制黑人、棕色人种和土著的声音。本文还深入探讨了BIPOC内容创作者在了解算法如何工作时,如何利用这些平台发挥其优势,并有效地促进在线社会政治话语;将社交网络的叙述从另一个白人至上主义的景观转变为激进变革的公共画布。
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来源期刊
AI & Society
AI & Society COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
8.00
自引率
20.00%
发文量
257
期刊介绍: AI & Society: Knowledge, Culture and Communication, is an International Journal publishing refereed scholarly articles, position papers, debates, short communications, and reviews of books and other publications. Established in 1987, the Journal focuses on societal issues including the design, use, management, and policy of information, communications and new media technologies, with a particular emphasis on cultural, social, cognitive, economic, ethical, and philosophical implications. AI & Society has a broad scope and is strongly interdisciplinary. We welcome contributions and participation from researchers and practitioners in a variety of fields including information technologies, humanities, social sciences, arts and sciences. This includes broader societal and cultural impacts, for example on governance, security, sustainability, identity, inclusion, working life, corporate and community welfare, and well-being of people. Co-authored articles from diverse disciplines are encouraged. AI & Society seeks to promote an understanding of the potential, transformative impacts and critical consequences of pervasive technology for societies. Technological innovations, including new sciences such as biotech, nanotech and neuroscience, offer a great potential for societies, but also pose existential risk. Rooted in the human-centred tradition of science and technology, the Journal acts as a catalyst, promoter and facilitator of engagement with diversity of voices and over-the-horizon issues of arts, science, technology and society. AI & Society expects that, in keeping with the ethos of the journal, submissions should provide a substantial and explicit argument on the societal dimension of research, particularly the benefits, impacts and implications for society. This may include factors such as trust, biases, privacy, reliability, responsibility, and competence of AI systems. Such arguments should be validated by critical comment on current research in this area. Curmudgeon Corner will retain its opinionated ethos. The journal is in three parts: a) full length scholarly articles; b) strategic ideas, critical reviews and reflections; c) Student Forum is for emerging researchers and new voices to communicate their ongoing research to the wider academic community, mentored by the Journal Advisory Board; Book Reviews and News; Curmudgeon Corner for the opinionated. Papers in the Original Section may include original papers, which are underpinned by theoretical, methodological, conceptual or philosophical foundations. The Open Forum Section may include strategic ideas, critical reviews and potential implications for society of current research. Network Research Section papers make substantial contributions to theoretical and methodological foundations within societal domains. These will be multi-authored papers that include a summary of the contribution of each author to the paper. Original, Open Forum and Network papers are peer reviewed. The Student Forum Section may include theoretical, methodological, and application orientations of ongoing research including case studies, as well as, contextual action research experiences. Papers in this section are normally single-authored and are also formally reviewed. Curmudgeon Corner is a short opinionated column on trends in technology, arts, science and society, commenting emphatically on issues of concern to the research community and wider society. Normal word length: Original and Network Articles 10k, Open Forum 8k, Student Forum 6k, Curmudgeon 1k. The exception to the co-author limit of Original and Open Forum (4), Network (10), Student (3) and Curmudgeon (2) articles will be considered for their special contributions. Please do not send your submissions by email but use the "Submit manuscript" button. NOTE TO AUTHORS: The Journal expects its authors to include, in their submissions: a) An acknowledgement of the pre-accept/pre-publication versions of their manuscripts on non-commercial and academic sites. b) Images: obtain permissions from the copyright holder/original sources. c) Formal permission from their ethics committees when conducting studies with people.
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