Words of wisdom: language use over the life span.
By James W. Pennebaker, Lori D. Stone. 2003
476 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology, Neuropsychology and Physiological Psychology, Social Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental and Educational Psychology
- James W. Pennebaker
- L. Carstensen
- Amy L. Gonzales
- Jeffrey T. Hancock
- S. Charles
- Donald C. Hambrick
- Lorenz Graf‐Vlachy
- Michael S. Bernstein
In Neuropsychology and Physiological Psychology
- S. Charles
- L. Carstensen
- James W. Pennebaker
- Amy L. Gonzales
- Lorenz Graf‐Vlachy
- Michael S. Bernstein
- Jeffrey T. Hancock
- Han Zhang
In Social Psychology
- Constantine Sedikides
- Jeffrey T. Hancock
- James W. Pennebaker
- T. Wildschut
- Lyle Ungar
- Margaret L. Kern
- Martin E. P. Seligman
- D. Merkl-Davies
Citations in the corpus
- "How Old Do You Think I Am?" A Study of Language and Age in Twitter (2013, background): “Pennebaker and Stone (2003) found that as people get older, they make fewer self-references.”
- Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview (2019, background): “However, this kind of variation is not just restricted to content domains but a fundamental property of human generated language: we talk differently than our parents or people from a different part of our country, etc. Pennebaker and Stone (2003); Eisenstein et al. (2010); Kern et al. (2016).”
- Attesting Biases and Discrimination using Language Semantics (2019, background): “In [22], Pennebacker et.al. found that there exist a strong correlation between age and the use of positive affect words and future tenses: older individuals use more positive affect words.”
- Linguistic Markers of Psychological Change Surrounding September 11, 2001 (2004, background): “For example, individuals use more first-person singular pronouns if they are young (Pennebaker & Stone, 2003), when they are depressed or dealing with a personal crisis (Pennebaker & Lay, 2002; Rude, Gortner, & Pennebaker, in press), and if they are induced to be honest as opposed to deceptive…”
- Gender Bias in Machine Translation (2021, background): “Language use varies between demographic groups and reflects their backgrounds, personalities, and social identities (Labov, 1972; Trudgill, 2000; Pennebaker and Stone, 2003).”
- Language Style Matching as a Predictor of Social Dynamics in Small Groups (2010, methodology): “…projects using automated text analysis have uncovered consistent patterns in language style across many different identity markers, including age (Pennebaker & Stone, 2003), psychological health (Mehl & Pennebaker, 2003; Stirman & Pennebaker, 2001), and sex (Newman, Groom, Handleman, &…”
- Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013, background): “For age, the most salient findings include older individuals using more positive emotion and less negative emotion words [30], older individuals preferring fewer self-references (i.”
- Anxious or Angry? Effects of Discrete Emotions on the Perceived Helpfulness of Online Reviews (2014, methodology): “Therefore, the software has seen increasing use as a measure of emotional disclosure (e.g., Bantum and Owen 2009; Pennebaker and Stone 2003).”
- The sociality of personal and collective nostalgia (2019, background): “…I, me, my, mine) which denotes increased self-focus and reduced social integration (Rude, Gortner, & Pennebaker, 2004), as well as use of first-person plural pronouns (e.g., we, us, our, ours) which denotes increased social integration, other-focus, and health benefits (Pennebaker & Stone, 2003).”
- Impression Management and Retrospective Sense-Making in Corporate Narratives: A Social Psychology Perspective (2011, background): “…such as personality characteristics of US presidential candidates (Slatcher et al., 2007), demographic differences, such as age and gender (Pennebaker and Stone, 2003), emotional issues, such as bereavement and depression (Gill and Oberlander, 2003; Pennebaker and King, 1999), and…”
- Online Language: The Role of Culture in Self-Expression and Self-Construal on Facebook (2010, background): “For instance, patterns in word usage have been shown to be indicative of age (Pennebaker & Stone, 2003) and gender (Mulac, Bradac, & Gibbons, 2001); whereas, accent and message content have been demonstrated to influence listeners’ affective states (Cargile & Giles, 1997).”
- Effects of Age and Gender on Blogging (2006, result): “These differences confirm findings reported earlier with regard to age [8] and gender [1] [5] [7] on the basis of much more limited corpora, and introduce many new findings.”