@inproceedings{garimella-mihalcea-2016-zooming,
title = "Zooming in on Gender Differences in Social Media",
author = "Garimella, Aparna and
Mihalcea, Rada",
editor = "Nissim, Malvina and
Patti, Viviana and
Plank, Barbara",
booktitle = "Proceedings of the Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media ({PEOPLES})",
month = dec,
year = "2016",
address = "Osaka, Japan",
publisher = "The COLING 2016 Organizing Committee",
url = "https://aclanthology.org/W16-4301/",
pages = "1--10",
abstract = "Men are from Mars and women are from Venus - or so the genre of relationship literature would have us believe. But there is some truth in this idea, and researchers in fields as diverse as psychology, sociology, and linguistics have explored ways to better understand the differences between genders. In this paper, we take another look at the problem of gender discrimination and attempt to move beyond the typical surface-level text classification approach, by (1) identifying semantic and psycholinguistic word classes that reflect systematic differences between men and women and (2) finding differences between genders in the ways they use the same words. We describe several experiments and report results on a large collection of blogs authored by men and women."
}
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%0 Conference Proceedings
%T Zooming in on Gender Differences in Social Media
%A Garimella, Aparna
%A Mihalcea, Rada
%Y Nissim, Malvina
%Y Patti, Viviana
%Y Plank, Barbara
%S Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F garimella-mihalcea-2016-zooming
%X Men are from Mars and women are from Venus - or so the genre of relationship literature would have us believe. But there is some truth in this idea, and researchers in fields as diverse as psychology, sociology, and linguistics have explored ways to better understand the differences between genders. In this paper, we take another look at the problem of gender discrimination and attempt to move beyond the typical surface-level text classification approach, by (1) identifying semantic and psycholinguistic word classes that reflect systematic differences between men and women and (2) finding differences between genders in the ways they use the same words. We describe several experiments and report results on a large collection of blogs authored by men and women.
%U https://aclanthology.org/W16-4301/
%P 1-10
Markdown (Informal)
[Zooming in on Gender Differences in Social Media](https://aclanthology.org/W16-4301/) (Garimella & Mihalcea, PEOPLES 2016)
ACL
- Aparna Garimella and Rada Mihalcea. 2016. Zooming in on Gender Differences in Social Media. In Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES), pages 1–10, Osaka, Japan. The COLING 2016 Organizing Committee.