Linguistic predictors of trauma pathology and physical health

By Jennifer Alvarez-Conrad, L. Zoellner, E. Foa. 2001

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Measuring Post Traumatic Stress Disorder in Twitter (2014, background): “Unsurprisingly, given the stylistic and topical difference between tweets and trauma narratives, we do not observe the same trends as Alvarez-Conrad et al. (2001), but the fact that significant differences in language use exist is an encouraging demonstration of the effectiveness of our data.”
Word Use in Emotional Narratives about Failed Romantic Relationships and Subsequent Mental Health (2005, background): “In a related study, using a sample of patients with PTSD, Alvarez-Conrad, Zoellner, and Foa (2001) transcribed participants’ verbal accounts of a trauma and then split the narrative into prethreat, threat, and postthreat sections.”
Quantifying Mental Health Signals in Twitter (2014, methodology): “• We conduct a LIWC analysis of each disorder to measure deviations in each illness group from a control group, replicating previous ﬁndings for depression and providing new ﬁndings for bipolar, PTSD and SAD.”
The Distress Analysis Interview Corpus of human and computer interviews (2014, background): “, 2005), and for answering fundamental questions about language, nonverbal behavior and mental illness (Scherer et al., 2013b; Yang et al., 2013; Alvarez-Conrad et al., 2001).”