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To be or not to be algorithm aware: a question of a new digital divide?

机译:要成为或不成为算法意识到:一个新的数字鸿沟问题?

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Algorithms are an increasingly important element of internet infrastructure in that they are used to make decisions about everything from mundane music recommendations through to more profound and oftentimes life changing ones such as policing, health care or social benefits. Given algorithmic systems' impact and sometimes harm on people's everyday life, information access and agency, awareness of algorithms has the potential to be a critical issue. We, therefore, ask whether having awareness of algorithms or not corresponds to a new reinforced digital divide. This study examines levels of awareness and attitudes toward algorithms across the population of the highly digitized country of Norway. Our exploratory research finds clear demographic differences regarding levels of algorithms awareness. Furthermore, attitudes to algorithm driven recommendations (e.g., YouTube and Spotify), advertisements and content (e.g., personalized news feeds in social media and online newspaper) are associated with both the level of algorithm awareness and demographic variables. A cluster analysis facilitates an algorithm awareness typology of six groups: the unaware, the uncertain, the affirmative, the neutral, the sceptic and the critical.
机译:算法是互联网基础设施的一个越来越重要的元素,因为它们用于通过更加深刻和更改的生活变化,如警务,医疗保健或社会利益来决策。考虑到算法系统的影响和有时对人们日常生活,信息访问和代理造成危害,对算法的认识有可能成为一个关键问题。因此,我们询问是否具有对算法的认识或不对应于新的增强数字鸿沟。本研究审查了对挪威高度数字化国家/地区的算法的意识和态度水平。我们的探索性研究发现了有关算法意识水平的明显人口差异。此外,算法驱动推荐的态度(例如,YouTube和Spotify),广告和内容(例如,社交媒体和在线报纸中的个性化新闻源)与算法意识和人口统计变量的级别相关联。集群分析有助于六组的算法意识类型:不知道,不确定,肯定,中立,怀疑论者和批判性。

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