Abstract
In this paper, we focus on understanding linguistic differences across groups with different self-identified gender and stance in expressing their opinions about ABORTION. We provide a new dataset consisting of users' gender, stance on ABORTION, as well as the debates in ABORTION drawn from debate.org. We use the gender and stance information to identify significant linguistic differences across individuals with different gender and stance. We show the importance of considering the stance information along with the gender, since we observe significant linguistic differences across individuals with different stance even within the same gender group.
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CITATION STYLE
Durmus, E., & Cardie, C. (2018). Understanding the effect of gender and stance on opinion expression in debates on “Abortion.” In Proceedings of the 2nd Workshop on Computational Modeling of PFople’s Opinions, PersonaLity, and Emotions in Social Media, PEOPLES 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018 (pp. 69–75). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-1110
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