Not Just Algorithms: Strategically Addressing Consumer Impacts in Information Retrieval

Not Just Algorithms: Strategically Addressing Consumer Impacts in Information Retrieval
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DOI:
10.1007/978-3-031-56066-8_25
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发表时间:
2024
期刊:
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影响因子:
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通讯作者:
Michael D. Ekstrand;Lex Beattie;M. S. Pera;Henriette Cramer
Michael D. Ekstrand;Lex Beattie;M. S. Pera;Henriette Cramer
中科院分区:
其他
文献类型:
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作者:
Michael D. Ekstrand;Lex Beattie;M. S. Pera;Henriette Cramer

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信息检索系统对消费者有着广泛的影响。我们提供地图来帮助确定IR系统可以或应该努力实现的目标,并指导如何衡量消费者方面的广泛影响以及解决这些影响所需的可能干预措施的过程。基于之前对算法影响范围的研究,我们的目标是促进和促进以下研究:(1)基于对信息消费者的影响,将这些影响置于积极和消极消费者体验的更广泛背景中;(2)对改变或改善这种影响的可能方法采取广泛的观点,包括非技术干预;以及(3)使用与所讨论的具体问题的技术、社会、伦理、法律的和其他方面相匹配的操作和策略。
Information Retrieval (IR) systems have a wide range of impacts onconsumers. We offer maps to help identify goals IR systems could—or should—strive for, and guide the process ofscopinghow to gauge a wide range of consumer-side impacts and the possible interventions needed to address these effects. Grounded in prior work on scoping algorithmic impact efforts, our goal is to promote and facilitate research that (1) is grounded in impacts on information consumers, contextualizing these impacts in the broader landscape of positive and negative consumer experience; (2) takes a broad view of the possible means of changing or improving that impact, including non-technical interventions; and (3) uses operationalizations and strategies that are well-matched to the technical, social, ethical, legal, and other dimensions of the specific problem in question.