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“I”, Mindsets, Lets-be-friends-ism, and the Terribly Polite Self-Confindence of the Japanese (Photo credit: timtak)
Over the course of his career, Pennebaker has studied the nature of physical symptoms, health consequences of secrets, expressive writing, and natural language, and has received grants from the National Science Foundation, the National Institutes of Health, the U.S. Army Research Institute, and other federal agencies for studies in language, emotion, and social dynamics.
A pioneer of writing therapy, he has researched the link between language and recovering from trauma and been “recognized by the American Psychological Association as one of the top researchers on trauma, disclosure, and health.”[3][4] In particular, he finds a person’s use of “low-level words,” such as pronouns and articles, predictive of recovery as well as indicative of sex, age, and personality traits: “Virtually no one in psychology has realized that low-level words can give clues to large-scale behaviors.”[3][5]
In the mid-1990s, he and colleagues developed the Linguistic Inquiry and Word Count (LIWC; pronounced “Luke”), a computerized text analysis program that outputs the percentage of words in a given text that fall into one or more of over 80 linguistic (e.g., first-person singular pronouns, conjunctions), psychological (e.g., anger, achievement), and topical (e.g., leisure, money) categories. It builds on previous research establishing strong links between linguistic patterns and personality or psychological state, but makes possible far more detailed results than did hand counts.[3][5]Pennebaker and associates have used this tool to analyze the language of Al Quaeda leaders and of political candidates, particularly in the 2008 United States presidential election.[3][5] He blogs with associates on what linguistic analysis says about political leaders, at Wordwatchers: Tracking the language of public figures,[3] and Pennebaker Conglomerates, Inc. offers free LIWC-based text analysis tools online, including a language style matching calculator and a language-based application of the Thematic Apperception Test.[6]
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English: Logo of the National Science Foundation (NSF). For NSF logo information visit: http://www.nsf.gov/policies/logos.jsp (Photo credit: Wikipedia)
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