Folk theories of algorithmic operations during Internet use: A mixed methods study
Folk theories of algorithmic operations during Internet use: A mixed methods study
复制标题
互联网使用期间算法操作的民间理论：混合方法研究
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Leyla Dogruel
中科院分区：
文献类型：
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作者：
Leyla Dogruel
摘要运用民间理论视角考察了网民在上网过程中对算法的理解情况。在实证方面，我们进行了一项混合方法研究。首先，我们对30名德国网民进行了半结构化的面对面访谈。我们对这些访谈的分析使我们能够识别出五种民间理论--经济取向理论、人际互动理论、流行理论、范畴化理论和算法思维理论。在第二步中，我们编制了一个标准化的调查问卷，其中包含了这五种民间理论的19个说明性陈述，依靠受访者在访谈中的解释来制定尽可能反映外行用户想法的陈述。参与者(N = 331)是通过商业在线访问小组招募的，使用年龄、性别和教育水平的配额标准，以获得德国人口的样本代表。我们的调查结果表明，这种民间理论在更广泛的互联网用户群体中很流行，除了算法思维理论，这很可能是因为它基于对算法能力的不准确假设。
Abstract We used the folk theory perspective to investigate Internet users’ understanding of algorithms during their Internet use. Empirically, we conducted a mixed-method study. First, we carried out semi-structured in-person interviews with 30 German Internet users. Our analysis of these interviews enabled us to identity five folk theories – economic orientation theory, personal interaction theory, popularity theory, categorization theory, and algorithmic thinking theory. In a second step, we created a standardized survey questionnaire with 19 illustrative statements for these five folk theories, relying on participants’ explanations in the interviews to develop statements that reflected lay users’ ideas as much as possible. Participants (N = 331) were recruited through a commercial online access panel using quota criteria for age, gender, and education level to have a sample representative of the German population. Our survey findings indicate the prevalence of such folk theories among a broader population of Internet users, except for the algorithmic thinking theory, which is likely due to it being based on inaccurate assumptions about algorithms’ capabilities.
影响因子：
3.2
作者：
Brayne, Sarah;Christin, Angele
通讯作者：
Christin, Angele
影响因子：
21.2
作者：
Kellogg, Katherine C.;Valentine, Melissa A.;Christin, Angele
通讯作者：
Christin, Angele