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Social media and the social sciences: How researchers employ Big Data analytics

机译:社交媒体和社会科学:研究人员如何利用大数据分析

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Social media posts are full of potential for data mining and analysis. Recognizing this potential, platform providers increasingly restrict free access to such data. This shift provides new challenges for social scientists and other non-profit researchers who seek to analyze public posts with a purpose of better understanding human interaction and improving the human condition. This paper seeks to outline some of the recent changes in social media data analysis, with a focus on Twitter, specifically. Using Twitter data from a 24-hour period following The Sisters in Spirit Candlelight Vigil, sponsored by the Native Women?¢????s Association of Canada, this article compares three free-use Twitter application programming interfaces for capturing tweets and enabling analysis. Although recent Twitter data restrictions limit free access to tweets, there are many dynamic options for social scientists to choose from in the capture and analysis of Twitter and other social media platform data. This paper calls for critical social media data analytics combined with traditional, qualitative methods to address the developing ?¢????data gold rush.?¢????
机译:社交媒体帖子充满了数据挖掘和分析的潜力。认识到这种潜力,平台提供商越来越多地限制对此类数据的自由访问。这种转变为寻求分析公共职位以更好地了解人类互动并改善人类状况的社会科学家和其他非营利研究人员带来了新的挑战。本文旨在概述社交媒体数据分析中的一些最新变化,尤其是Twitter。使用加拿大土著妇女协会赞助的《精神烛光守夜姐妹》之后的24小时内的Twitter数据,本文比较了三个免费使用的Twitter应用程序编程接口,这些接口可用于捕获推文并进行分析。尽管最近的Twitter数据限制限制了对Twitter消息的免费访问,但是对于社会科学家来说,在捕获和分析Twitter和其他社交媒体平台数据时,有许多动态选项可供选择。本文呼吁将关键的社交媒体数据分析与传统的定性方法相结合,以应对不断发展的“数据淘金热”。

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