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挖掘推特:群体心理智慧的源泉。

Mining twitter: a source for psychological wisdom of the crowds.

机构信息

University of Deusto, Bilbao, Spain.

出版信息

Behav Res Methods. 2011 Sep;43(3):635-42. doi: 10.3758/s13428-011-0116-6.

Abstract

Over the last few years, microblogging has gained prominence as a form of personal broadcasting media where information and opinion are mixed together without an established order, usually tightly linked with current reality. Location awareness and promptness provide researchers using the Internet with the opportunity to create "psychological landscapes"--that is, to detect differences and changes in voiced (twittered) emotions, cognitions, and behaviors. In our article, we present iScience Maps, a free Web service for researchers, available from http://maps.iscience.deusto.es/ and http://tweetminer.eu/ . Technologically, the service is based on Twitter's streaming and search application programming interfaces (APIs), accessed through several PHP libraries, and a JavaScript frontend. This service allows researchers to assess via Twitter the effect of specific events in different places as they are happening and to make comparisons between cities, regions, or countries regarding psychological states and their evolution in the course of an event. In a step-by-step example, it is shown how to replicate a study on affective and personality characteristics inferred from first names (Mehrabian & Piercy, Personality and Social Psychology Bulletin, 19, 755-758 1993) by mining Twitter data with iScience Maps.Results from the original study are replicated in both world regions we tested (the western U.S. and the U.K./Ireland); we also discover base rate of names to be a confound that needs to be controlled for in future research.

摘要

在过去的几年中,微博作为一种个人广播媒体形式已经变得越来越重要,在这种媒体形式中,信息和观点是混合在一起的,没有固定的顺序,通常与当前的现实紧密相连。位置感知和及时性为使用互联网的研究人员提供了创建“心理景观”的机会——也就是说,检测到声音(推文)情感、认知和行为的差异和变化。在我们的文章中,我们展示了 iScience Maps,这是一个面向研究人员的免费网络服务,可从 http://maps.iscience.deusto.es/http://tweetminer.eu/ 获得。从技术上讲,该服务基于 Twitter 的流媒体和搜索应用程序编程接口 (API),通过几个 PHP 库访问,并通过 JavaScript 前端。该服务允许研究人员通过 Twitter 评估特定事件在不同地点的影响,以及在城市、地区或国家之间就心理状态及其在事件过程中的演变进行比较。在一个逐步的例子中,展示了如何使用 iScience Maps 挖掘 Twitter 数据来复制一项关于从名字推断出的情感和个性特征的研究(Mehrabian & Piercy,《人格与社会心理学公报》,19,755-758,1993)。我们在测试的两个世界区域(美国西部和英国/爱尔兰)中复制了原始研究的结果;我们还发现,名字的基本比率是需要在未来研究中控制的混杂因素。

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