@inproceedings{7a9d25161f204a0092f3a6519f8236ae,
title = "Gender Variation in Mix-Gender Conversations in the Semi-institutional Discourse: The Case of Talk Show",
abstract = "In this paper, gender-related variations in the semi-institutional discourse are examined. We investigate the cross-gender conversation in the talk show Behind the Headline with Wentao, a corpus of around 88,000 words of Mandarin Chinese conversation and identify gender variation between female and male guests. We explore the turn-taking features and characteristic terms that set the gender categories apart. We observe that female speakers tend to produce more and longer turns when discussion topics about people and relationships whereas males have longer turns when discussing leisure activities and issues. Generational differences across binary gender groups show that females use more hedges of various functions than males. The results also suggest that male and female speakers tend to use more gendered terms when the conversational topics involved people and relationships.",
keywords = "Conversation Topic, Gender Difference, Hedges, Turn-taking",
author = "Xin Luo and Parti G{\'a}bor and Huang, {Chu Ren}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 24th Workshop on Chinese Lexical Semantics, CLSW 2023 ; Conference date: 19-05-2023 Through 21-05-2023",
year = "2024",
month = feb,
day = "28",
doi = "10.1007/978-981-97-0586-3_22",
language = "English",
isbn = "9789819705856",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "274--285",
editor = "Minghui Dong and Jia-Fei Hong and Jingxia Lin and Peng Jin",
booktitle = "Chinese Lexical Semantics",
address = "Germany",
}