Social Media Data Mining Becomes Ordinary
Social Media Data Mining Becomes Ordinary
复制标题
社交媒体数据挖掘变得司空见惯
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
H. Kennedy
中科院分区：
文献类型：
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作者：
H. Kennedy
肯尼迪认为，随着社交媒体数据挖掘变得越来越普遍，它已经多样化，因此有必要区分数据挖掘的类型，参与这种做法的行为者，发生的机构和组织环境，以及其目的和后果的范围。重要的是要关注参与社交媒体数据挖掘的普通参与者，并问：普通社交媒体数据挖掘应该关注什么？有没有可能为社会做出积极贡献的方法？肯尼迪介绍了本书的主要论点：随着社交媒体数据挖掘变得普通，新的数据关系出现了，其特点是对数字的广泛渴望及其令人不安的后果，但也有可能用数据做好事。
Kennedy argues that as social media data mining has become more ordinary, it has diversified, and so it is necessary to differentiate types of data mining, actors engaged in such practices, institutional and organisational contexts in which it takes place, and its range of purposes and consequences. It is important to attend to ordinary actors involved in social media data mining and to ask: what should concern us about ordinary social media data mining? Are there ways in which it might make a positive contribution to society? Kennedy introduces the main argument of the book: as social media data mining becomes ordinary, new data relations emerge, characterised by a widespread desire for numbers and its troubling consequences, but also by the possibility of doing good with data.
社交媒体和自我评估组合：关于数字、顺序和价值观
DOI：
10.1080/1600910x.2014.920267
发表时间：
2014
期刊：
Journal of Social Theory
影响因子：
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作者：
Gerlitz C
通讯作者：
Gerlitz C