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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2019
عنوان انگلیسی مقاله:
‘‘You Social Scientists Love Mind Games’’: Experimenting in the ‘‘divide’’ between data science and critical algorithm studies
ترجمه فارسی عنوان مقاله:
دانشمندان اجتماعی شما بازی های ذهنی را دوست دارند: آزمایش در "تقسیم" بین علم داده ها و مطالعات الگوریتم بحرانی
منبع:
SAGE Publications, Big Data & Society January–June 2019: 1–11
نویسنده:
David Moats and Nick Seaver
چکیده انگلیسی:
In recent years, many qualitative sociologists, anthropologists, and social theorists have critiqued the use of algorithms
and other automated processes involved in data science on both epistemological and political grounds. Yet, it has proven
difficult to bring these important insights into the practice of data science itself. We suggest that part of this problem has
to do with under-examined or unacknowledged assumptions about the relationship between the two fields—ideas about
how data science and its critics can and should relate. Inspired by recent work in Science and Technology Studies on
interventions, we attempted to stage an encounter in which practicing data scientists were asked to analyze a corpus of
critical social science literature about their work, using tools of textual analysis such as co-word and topic modelling.
The idea was to provoke discussion both about the content of these texts and the possible limits of such analyses. In this
commentary, we reflect on the planning stages of the experiment and how responses to the exercise, from both data
scientists and qualitative social scientists, revealed some of the tensions and interactions between the normative positions of the different fields. We argue for further studies which can help us understand what these interdisciplinary
tensions turn on—which do not paper over them but also do not take them as given.
Keywords: Algorithms | data science | intervention | reflexivity | interdisciplinarity | Science and Technology Studies
قیمت: رایگان
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