The Secret Life of Pronouns: What Our Words Say About Us

By James W. Pennebaker. 2011

308 citations recorded by the source corpus.

Subfields: Cultural Studies, Social Psychology, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/df4d483df3883a8303c26fb2f4bf592f3666c097

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cultural Studies

1. S. Whittaker
2. David M. Markowitz
3. Diana Inkpen
4. Jeffrey T. Hancock
5. Walter Daelemans
6. Amy K. Peterson
7. Caleb Warren
8. Prasadith Buddhitha

In Social Psychology

1. Jeffrey T. Hancock
2. Paolo Rosso
3. S. Whittaker
4. David M. Markowitz
5. Niek den Bogert
6. Diana Inkpen
7. Walter Daelemans
8. Henny P. A. Boshuizen

In Human-Computer Interaction

1. Ben Verhoeven
2. S. Whittaker
3. David M. Markowitz
4. Niek den Bogert
5. Diana Inkpen
6. Jeffrey T. Hancock
7. Walter Daelemans
8. Henny P. A. Boshuizen

Citations in the corpus

• Salesperson communication effectiveness in a digital sales interaction (2020, unknown): “Psycholinguistic theory (Pennebaker, 2011) offers a novel approach to evaluate what a sender says.”
• Synchronous and Asynchronous Discussions: Effects on Cooperation, Belonging, and Affect (2018, methodology): “Discrepancy words are correlated to influencing behavior (Pennebaker, 2011) and high performance (Rodrigo, 2017), and indicates analytical thinking.”
• Certainty in Language Increases Consumer Engagement on Social Media (2021, methodology): “The words included in the LIWC dictionary are based on the research of Pennebaker and colleagues which has demonstrated the internal and external validity of using the LIWC dictionary to assess the prevalence of psychological constructs in text communications (Pennebaker, 2011; Pennebaker et al., 20”
• Teacher vision: expert and novice teachers’ perception of problematic classroom management scenes (2016, background): “In both types of classroom management scenes, experts more frequently used mental/perceptual words associated with complex thinking styles and also employed words denoting actions and events more frequently (Pennebaker 2011; Wierzbicka 1996).”
• Overview of the Author Profiling Task at PAN 2013 (2013, background): “…2 covers the state of the art, Section 3 describes the corpus and evaluation measures, and Section 4 presents 1 http://webis.de/research/events/pan-13/pan13-web/author-profiling.html 2 http://webis.de/research/events/pan-14/pan14-web/author-profiling.html the approaches submitted by the…”
• Deep Learning for Depression Detection of Twitter Users (2018, methodology): “From previous research, we identified that individuals susceptible to depression more regularly use first-person singular pronouns compared to the use of other pronouns (Pennebaker, 2011).”
• Progressive Disclosure: Designing for Effective Transparency (2018, background): “the word “I” has negative connotations. However, extant literature confirms that system feedback is correct as usage of first person singular pronouns are correlated with depression and negative mood [63,70]. These examples indicate a problem when system feedback reveals information that contradicts”
• Biases in News Media as Reflected by Personal Pronouns in Evaluative Contexts (2014, background): “Pennebaker and his group have studied whether frequencies of pronoun use correlate with an individual’s personality, status, or mood (see, e.g., Campbell & Pennebaker, 2003; Pennebaker, 2011; Sexton & Helmreich, 2000), and whether different situations increase the use of one type of pronoun over oth”
• Linguistic Obfuscation in Fraudulent Science (2016, methodology): “Words outside of the dictionary are specialized terms that are uncommon in everyday communication (Pennebaker, 2011; Tausczik & Pennebaker, 2010).”