Gaining Insights From Social Media Language: Methodologies and Challenges
Gaining Insights From Social Media Language: Methodologies and Challenges
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DOI：
10.1037/met0000091
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发表时间：
2016-12-01
影响因子：
7
通讯作者：
Ungar, Lyle H.
中科院分区：
文献类型：
--
作者：
Kern, Margaret L.;Park, Gregory;Ungar, Lyle H.
通过社交媒体获得的语言数据为以前所未有的规模研究人提供了机会。然而，想要进入这一研究领域的心理学家几乎没有什么指导。借助自然语言处理中开发的工具和技术，我们首先将心理学家引入社交媒体语言研究，识别语言数据允许的描述性和预测性分析。其次，我们描述了如何访问和量化原始语言数据，以便在随后的分析中包括在内，并探索在Facebook上表达的个性。第三，我们强调了需要考虑的挑战和问题，包括访问和处理数据、解释效果和伦理问题。社交媒体已经成为社会生活中有价值的一部分，通过将计算机科学的工具与心理学的理论和见解结合起来，我们可以学到很多东西。
Language data available through social media provide opportunities to study people at an unprecedented scale. However, little guidance is available to psychologists who want to enter this area of research. Drawing on tools and techniques developed in natural language processing, we first introduce psychologists to social media language research, identifying descriptive and predictive analyses that language data allow. Second, we describe how raw language data can be accessed and quantified for inclusion in subsequent analyses, exploring personality as expressed on Facebook to illustrate. Third, we highlight challenges and issues to be considered, including accessing and processing the data, interpreting effects, and ethical issues. Social media has become a valuable part of social life, and there is much we can learn by bringing together the tools of computer science with the theories and insights of psychology.