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The (un)changing role of the researcher

机译:研究人员的角色(不变)

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The increasing abundance of consumer-driven data has led to the development and adoption of tools that have the ability to mine, aggregate and make sense of (a large proportion of) this information. There is no doubting the opportunities this presents, but what does it mean for the role of the researcher? You might think that the development of technologies such as machine-based learning or text analytics to deal with large, pre-existing data sets would ensure greater impartiality and accuracy by removing researcher bias - by removing the researcher altogether. It would appear that these developments eliminate the need for researchers to form questions, recruit respondents, and ask them about events and feelings that occurred in the past.
机译:越来越多的消费者驱动数据导致了工具的开发和采用,这些工​​具能够挖掘,汇总和理解(很大一部分)这些信息。毫无疑问,这带来了机遇,但是这对于研究人员的角色意味着什么呢?您可能会认为,开发基于机器的学习或文本分析之类的技术来处理庞大的现有数据集,将消除研究人员的偏见,从而完全消除研究人员的偏见,从而确保更大的公正性和准确性。这些发展似乎消除了研究人员提出问题,招募受访者并向他们询问过去发生的事件和感觉的需求。

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