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Volumn , Issue , 2017, Pages 405-406

The limits of abstract evaluation metrics: The case of hate speech detection

Author keywords

Evaluation metrics; Hate speech; Human centered metrics

Indexed keywords

COSTS; ERRORS;

EID: 85026782700     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3091478.3098871     Document Type: Conference Paper
Times cited : (41)

References (7)
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    • (2017) Proc. of ICWSM
    • Davidson, T.1    Warmsley, D.2    Macy, M.3    Weber, I.4
  • 2
    • 85026641417 scopus 로고    scopus 로고
    • How big data is unfair: Understanding sources of unfairness in data driven decision making
    • 2014
    • Moritz Hardt. 2014. How big data is unfair: Understanding sources of unfairness in data driven decision making. Medium. Available at: https://medium.com/@mrtz/how-big-data-is-unfair-9aa544d739de (2014).
    • (2014) Medium
    • Hardt, M.1
  • 3
    • 79959753092 scopus 로고    scopus 로고
    • The changing science of machine learning
    • 2011
    • Pat Langley. 2011. The changing science of machine learning. Machine Learning 82, 3 (2011).
    • (2011) Machine Learning , vol.82 , pp. 3
    • Langley, P.1
  • 4
    • 85026301741 scopus 로고    scopus 로고
    • Social data: Biases, methodological pitfalls, and ethical boundaries
    • 2016
    • Alexandra Olteanu, Carlos Castillo, Fernando Diaz, and Emre Kiciman. 2016. Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. SSRN Preprint (2016).
    • (2016) SSRN Preprint
    • Olteanu, A.1    Castillo, C.2    Diaz, F.3    Kiciman, E.4
  • 5
    • 85015164134 scopus 로고    scopus 로고
    • Data science of the people, for the people, by the people: A viewpoint on an emerging dichotomy
    • Kush R Varshney. 2015. Data science of the people, for the people, by the people: A viewpoint on an emerging dichotomy. In Bloomberg Data for Good Exch. Conf.
    • (2015) Bloomberg Data for Good Exch. Conf
    • Varshney, K.R.1
  • 6
    • 84867137280 scopus 로고    scopus 로고
    • Machine learning that matters
    • Kiri Wagstaff. 2012. Machine learning that matters. In Proc. of ICML.
    • (2012) Proc. of ICML
    • Wagstaff, K.1
  • 7
    • 84883083332 scopus 로고    scopus 로고
    • Beliefs and biases in web search
    • Ryen White. 2013. Beliefs and biases in web search. In Proc. of SIGIR.
    • (2013) Proc. of SIGIR
    • White, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.