逆境中的智慧:日本海啸的推特研究

Paolo Casani, Hayate Iso, Shoko Wakamiya, E. Aramaki
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引用次数: 0

摘要

复杂的数据科学技术最近被应用于社交网络数据,以研究社会现象和人。认识到社会心理学研究见证了对智慧概念的新兴趣,并强调其上下文维度,本研究着眼于twitter信息中智慧的表达。具体来说,它使用2011年悲惨的日本海啸的Twitter数据来研究逆境中的智慧与文化影响之间的关系。该研究采用自然语言处理和数据科学来检测智慧的表达。逆境中的智慧分为两类:对不确定性和变化的认识,以及认知同理心。数据处理应用于1,000条带注释的tweet,并扩展到43,436条tweet。结果表明,利用社交网站数据来研究情境中的智慧是可行的。这篇短文讨论了其中的一些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wisdom in Adversity: A Twitter Study of the Japanese Tsunami
Sophisticated data science techniques have recently been applied to social networks data to study social phenomena and people. Recognizing that social psychology research has witnessed a renewed interest in the notion of wisdom, with an emphasis to its contextual dimensions, this study looks at the expression of wisdom in twitter messages. Specifically, it examines the relation between wisdom in adversity and cultural influences using Twitter data from the tragic Japanese tsunami of 2011. The study employs natural language processing and data science to detect the expression of wisdom. Two categories for wisdom in adversity are used: recognition of uncertainty and change, and cognitive empathy. Data processing is applied to 1,000 annotated tweets and extended to 43,436 tweets. The results show that it is viable to study wisdom in context using social networking sites data. This short paper discusses some of the findings.
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