The DOI matches its Crossref record; 53 of the 54 references it cites were found in a registry or an index.
Gender Differences in Language Use: An Analysis of 14,000 Text Samples
Abstract
Differences in the ways that men and women use language have long been of interest in the study of discourse. Despite extensive theorizing, actual empirical investigations have yet to converge on a coherent picture of gender differences in language. A significant reason is the lack of agreement over the best way to analyze language. In this research, gender differences in language use were examined using standardized categories to analyze a database of over 14,000 text files from 70 separate studies. Women used more words related to psychological and social processes. Men referred more to object properties and impersonal topics. Although these effects were largely consistent across different contexts, the pattern of variation suggests that gender differences are larger on tasks that place fewer constraints on language use.
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“For example, multiple studies report that emoticons (i.e. ‘:)’ ‘:-(‘) are used more often by females [34], [36], [38], but Huffaker & Calvert found males use them more in a sample of 100 teenage bloggers [39].”
From Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013) · cites this paper as [34]
In the citing paper
“Males used more swear words, object references (e.g., ‘xbox’ and swear words) [34], [89].”
From Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013) · cites this paper as [34]
In the citing paper
“they mention more psychological and social processes [34] (e.g., ‘love you’ and ‘3’ –a heart)”
From Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013) · cites this paper as [34]
In the citing paper
“Males used more swear words, object references (e.g., ‘xbox’ and swear words) [34], [89].”
From Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013) · cites this paper as [34]
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“In contrast, men had more of a ‘report’ style, or were more likely to use language for the instrumental purpose of conveying information, and tend to describe the quantity and location of objects (Newman et al., 2008).”
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MethodSelf-citationBoettger, R. K., & Moore, L. E. (2018) · Business and Professional Communication Quarterly · doi:10.1177/2329490618803740 · Cited by 16
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BackgroundRadford, J. S. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2804265 · Cited by 11
Exploration of Gender Differences in COVID-19 Discourse on RedditPreprint
Aggarwal, J., Rabinovich, E., & Stevenson, S. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.05713 · Cited by 18
“Much prior work has found distinctions in topical preferences in spontaneous productions of the two genders (e.g., Mulac et al., 2001; Mulac, 2006; Newman et al., 2008), showing that men were more likely to discuss money- ar X iv :2 00 8.”
BackgroundWho are the haters? A corpus-based demographic analysis of authors of hate speech
Hilte, L., Markov, I., Ljubešić, N., Fišer, D., & Daelemans, W. M. P. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.986890 · Cited by 10
“), thus mitigating their opinion more (Newman et al., 2008).”
Gendered mourning: A perspective of Akan death culture in Ghana
Adjei, S. B., Adinkrah, M., & Mpiani, A. (2023) · Death Studies · doi:10.1080/07481187.2023.2236983 · Cited by 10
“…and adjust to bereavement better than men partly because they tend to use more positive emotions, anxiety, and sadness words in grief narrative construction, whereas men tend to use more anger words to discuss their internal states during bereavement (Newman et al., 2008; Stelle & Uchida, 2004).”
BackgroundFerguson, S. A., & Olechowski, A. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3610173 · Cited by 11
“Note that negation is included twice — as a predictor of women’s communication in the uncertainty composite, as suggested in [79, 87] (for example, used in the phrase “I’m not sure.”
BackgroundInfluentialMesquiti, S., Seraj, S., Weyland, A., Ashokkumar, A., Boyd, R. L., Mihalcea, R. F., & Pennebaker, J. W. (2025) · Scientific Reports · doi:10.1038/s41598-025-89165-z · Cited by 11
“Additionally, there are distinct individual differences in language use 61 .”
Self-citationA diachronic evaluation of gender asymmetry in euphemism
Kapron-King, A., & Xu, Y. (2021) · doi:10.18653/v1/2021.lchange-1.5 · Cited by 10
“In general, we should not take for granted the characterization of women’s language that has been proposed by linguists such as Jespersen and Lakoff, as our study and others have shown that they are not always supported by empirical evidence (Newman et al., 2008; Park et al., 2016).”
BackgroundResultInfluentialGender performances on social media: A comparative study of three top key opinion leaders in China
Liu, M., Zhao, R., & Feng, J. W. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1046887 · Cited by 10
“Some other studies have also revealed different genders’ preferences for linguistic features (Newman et al., 2008).”
ResultCross-Cultural Sex/Gender Differences in Produced Word Content Before the Age of 3 Years
Wallentin, M., & Trecca, F. (2023) · Psychological Science · doi:10.1177/09567976221146537 · Cited by 14
“…to this effect in adults is provided by studies showing that choices of words in spontaneous conversations (Mehl & Pennebaker, 2003), in written texts (Cheng et al., 2011; Newman et al., 2008), and on social media (Sap et al., 2014; Schwartz et al., 2013) are strongly predictive of sex/ gender.”
BackgroundA gender-based analysis of Iranian EFL learners' types of written errors
Boroomand, F., & Abusaeedi, A. A. R. (2013) · International Journal of Research Studies in Language Learning · doi:10.5861/ijrsll.2013.287 · Cited by 10
“Newman et al. (2008) found small but systematic differences in the way that men and women use language, 84 Consortia Academia Publishing both in terms of what they say and how they choose to say it.”
BackgroundGender and the CMO: do the differences make a difference?
Pitt, C. (2019) · Journal of Strategic Marketing · doi:10.1080/0965254x.2019.1694567 · Cited by 10
Analyzing Connections Between User Attributes, Images, and Text
Burdick, L., Mihalcea, R. F., Boyd, R. L., & Pennebaker, J. W. (2020) · Cognitive Computation · doi:10.1007/s12559-019-09695-3 · Cited by 10
“As with personality, the computational inference of gender has primarily been approached using NLP techniques [8, 18, 46].”
MethodSelf-citationGENDER DIFFERENCES OF STUDENTS’ WRITING ABILITY IN DESCRIPTIVE TEXT
Wiyanto, M. S., & Asmorobangun, P. W. (2020) · Journal of Languages and Language Teaching · doi:10.33394/jollt.v8i2.2314 · Cited by 10
Microblog data analysis of emotional reactions to COVID-19 in China
Jin, Y., Yan, A., Sun, T., Zheng, P., & An, J. (2022) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2022.110976 · Cited by 10
Pennebaker, J. W., & Chung, C. K. (2012) · doi:10.21236/ada564471 · Cited by 10
Self-citationProceedings of the Workshop on Stylistic Variation
(2017) · doi:10.18653/v1/w17-49 · Cited by 10
Do Social Desirability Scales Measure Dishonesty?
Holtrop, D., Hughes, A. W., Dunlop, P. D., Chan, J., & Steedman, G. (2020) · European Journal of Psychological Assessment · doi:10.1027/1015-5759/a000607 · Cited by 16
Using integrated marketing communications to promote country personality via government websites
Liang, B., & Wang, Y. (2021) · Place Branding and Public Diplomacy · doi:10.1057/s41254-021-00221-7 · Cited by 12
Piersoul, J., & de Velde, F. V. (2022) · Linguistics · doi:10.1515/ling-2021-0022 · Cited by 9
“Indeed, gender has been identified as a pervasive predictor of differences in language use (Coates 1998), surpassing many other social variables (Biber et al. 1998; Härnqvist et al. 2003; Newman et al. 2008; Rayson et al. 1997).”
BackgroundInfluentialRahul, C., Arathi, T., Panicker, L. S., et al. (2023) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.105051 · Cited by 9
Analyzing Novice and Expert User’s Cognitive Load in using a Multi-Modal Interface System
Baig, M. Z., & Kavakli, M. (2018) · International Conference on Systems Engineering · doi:10.1109/icseng.2018.8638206 · Cited by 9
“In some recent sketch drawing applications, speech and gesture input were combined to develop a multimodal interface system [9].”
Metadata
- Authors
- Newman, M. L., Groom, C. J., Handelman, L. D., & Pennebaker, J. W.
- Affiliations
- Arizona State University (US)
- Department for Work and Pensions (GB)
- Oxford University Press (United Kingdom) (GB)
- The University of Texas at Austin (US)
- ORCID
- Pennebaker, James W.
- Venue
- Discourse Processes
- Publisher
- Informa UK Limited
- Published
- 2008-05-15
- Volume
- 45
- Issue
- 3
- Pages
- 211-236
- ISSN
- 0163-853X (ISSN-L)
- 1532-6950
- OpenAlex
- W2139875525
- Cited by
- 788
- References
- 54
- Citations by year
- 2026: 28 · 2025: 47 · 2024: 48 · 2023: 61 · 2022: 91 · 2021: 57 · 2020: 63 · 2019: 53 · 2018: 59 · 2017: 61 · 2016: 46 · 2015: 38 · 2014: 59 · 2013: 21 · 2012: 20
- FWCI
- 27.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Discourse Processes (publishedVersion)
- Topics
- Social Sciences › Gender Studies › Gender Studies in Language
- Social Sciences › Linguistics and Language › Discourse Analysis in Language Studies
- Social Sciences › Linguistics and Language › Linguistic Variation and Morphology
- Keywords
- gender differences in language, language use, women's language, men's language, text analysis, topic categories, object properties, discourse analysis
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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