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An Empirical Study of Gender-Related Differences in Topics Selection Based on We-Media Corpus

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Chinese Lexical Semantics (CLSW 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10085))

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Abstract

Our thesis aims to find out the gender-related differences in topics selection in Chinese We-Media through an extensive amount of classified blog corpus text. According to the Chinese blog corpus text, there is a statistically significant differences in topics selection between men and women. Based on the empirical study, we questioned the previous studies which suggest that men incline to choose politics and economic-related topics. We believe that in different communicative context, Men tend to change the topics accordingly, whereas women remain the same.

Project supported by the National Social Science Fund (No. 12CYY030), the Humanity and Social Science Youth foundation of Ministry of Education of China (No. 12YJC740106).

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Correspondence to Yubo Wang .

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Wang, Y. (2016). An Empirical Study of Gender-Related Differences in Topics Selection Based on We-Media Corpus. In: Dong, M., Lin, J., Tang, X. (eds) Chinese Lexical Semantics. CLSW 2016. Lecture Notes in Computer Science(), vol 10085. Springer, Cham. https://doi.org/10.1007/978-3-319-49508-8_65

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  • DOI: https://doi.org/10.1007/978-3-319-49508-8_65

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49507-1

  • Online ISBN: 978-3-319-49508-8

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