Language use of depressed and depression-vulnerable college students
By S. Rude, Eva-Maria Gortner, James W. Pennebaker. 2004
1,051 citations recorded by the source corpus.
Subfields: Clinical Psychology, Social Psychology
View Paper: https://www.semanticscholar.org/paper/44b35318ded38fba380de265aa66e0ac307d19ac
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Clinical Psychology
- Glen A. Coppersmith
- Mark Dredze
- M. de Choudhury
- Craig Harman
- Lyle Ungar
- Roi Reichart
- Daniel Preotiuc-Pietro
- Saif M. Mohammad
In Social Psychology
- Glen A. Coppersmith
- M. de Choudhury
- Mark Dredze
- Craig Harman
- Lyle Ungar
- Scott Counts
- Eric Horvitz
- Johannes C. Eichstaedt
Citations in the corpus
- Detection of Depression-Related Posts in Reddit Social Media Forum (2019, background): “The results support the work of [25], [26], [38].”
- Predicting Depression via Social Media (2013, background): “erature suggest that use of linguistic styles such as pronouns and articles provide information about how individuals respond to psychological triggers (Rude et al., 2004; Ramirez-Esparza et al., 2008).”
- Self-compassion and adaptive psychological functioning. (2007, neutral): “Because past research has shown that use of Wrst person plural pronouns and social references is linked to lower levels of depression (Rude et al., 2004) and better relationships (Sillars, Wesley, McIntosh, & Pomegranate, 1997), whereas use of Wrst person singular pronouns is linked to elevated…”
- The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2010, neutral): “Depressed patients are more likely to use more first-person singular and more negative emotion words than participants who have never been depressed in emotional writings (Rude et al., 2004).”
- The Hitchhiker’s Guide to Computational Linguistics in Suicide Prevention (2021, background): “…depressive symptoms (e.g., sad, worthless, cry, lonely) as well as by more implicit language signals such as excessive usage of first-person pronouns (e.g., I ), past tense verbs (e.g., had ), somatic complaints, and hostility (De Choudhury et al., 2013; Eichstaedt et al., 2018; Rude et al., 2004).”
- Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides (2015, background): “Pennebaker and colleagues used LIWC in a number of different populations and scenarios to identify language related markers of anxiety, stress, neurotic tendencies and psychiatric disorders [41, 47].”
- Social media as a measurement tool of depression in populations (2013, background): “Moreover, low activation and dominance may indicate loneliness, restlessness, exhaustion, lack of energy, and sleep deprivation, all of which are known to be consistent depression symptoms [6,18,23].”
- SimSensei kiosk: a virtual human interviewer for healthcare decision support (2014, background): “Examples of observed differences in verbal behavior in depressed individuals include differences in speaker-switch durations and variability in vocal fundamental frequency [6], decreased speech, slow speech, delays in delivery, and long silent pauses [12], as well as differences in certain lexical f”