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Volumn , Issue , 2016, Pages 53-54

Inferring Gender from Names on the Web: A Comparative Evaluation of Gender Detection Methods

Author keywords

computational social science; discrimination on web; gender detection

Indexed keywords

SOCIAL BEHAVIOR;

EID: 85092381305     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2872518.2889385     Document Type: Conference Paper
Times cited : (164)

References (7)
  • 1
    • 84926380337 scopus 로고    scopus 로고
    • Gender inference of twitter users in non-english contexts
    • M. Ciot, M. Sonderegger, and D. Ruths. Gender inference of twitter users in non-english contexts. In EMNLP, pages 1136-1145, 2013.
    • (2013) EMNLP , pp. 1136-1145
    • Ciot, M.1    Sonderegger, M.2    Ruths, D.3
  • 2
    • 73149109898 scopus 로고    scopus 로고
    • Gender and job performance: Evidence from wall street
    • C. Green, N. Jegadeesh, and Y. Tang. Gender and job performance: Evidence from wall street. Financial Analysts Journal, 65 (6): 65-78, 2009.
    • (2009) Financial Analysts Journal , vol.65 , Issue.6 , pp. 65-78
    • Green, C.1    Jegadeesh, N.2    Tang, Y.3
  • 3
    • 84890346350 scopus 로고    scopus 로고
    • Bibliometrics: Global gender disparities in science
    • Dec.
    • V. Larivière, C. Ni, Y. Gingras, B. Cronin, and C. R. Sugimoto. Bibliometrics: Global gender disparities in science. Nature, 504 (7479): 211-213, Dec. 2013.
    • (2013) Nature , vol.504 , Issue.7479 , pp. 211-213
    • Larivière, V.1    Ni, C.2    Gingras, Y.3    Cronin, B.4    Sugimoto, C.R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.