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Juergen Pfeffer

Datos Biográficos

ID3925101
NOMBREJuergen Pfeffer
NOMBRESJuergen
APELLIDOPfeffer
FIRMAPFEFFER J
AFILIACIONESCarnegie Mellon University
VERIFICADONo
TOTAL DE OBRAS2
TOTAL DE CITAS2
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2013
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H1
  • Whose harm gets detected? A structured review and conceptual framework for misogyny detection and Dari–Pashto marginalization in AI content moderation

    Open Access•Mursal Dawodi, Juergen Pfeffer et al.•ARTICLE•AI & Society•2026

    Women in Dari and Pashto digital spaces face gendered abuse expressed through proverbs, religious framing, and moral instruction forms that existing AI content moderation systems often fail to detect. This paper presents a theory-driven structured review of misogyny detection research, complemented by a structured empirical mapping of representative studies. Drawing on a corpus of 84 publications published between 2015 and 2025, we examine how mi…

  • Network text analysis of conceptual overlap in interviews, newspaper articles and keywords

    Open Access•Michael K Martins, Juergen Pfeffer et al.•ARTICLE•Social Network Analysis and Mining•2013•Citada por: 2•Referencias: 47

  • Network text analysis of conceptual overlap in interviews, newspaper articles and keywords

    Open Access•Michael K Martins, Juergen Pfeffer et al.•ARTICLE•Social Network Analysis and Mining•2013•Citada por: 2•Referencias: 47

  • Network text analysis of conceptual overlap in interviews, newspaper articles and keywords

    Open Access•Michael K Martins, Juergen Pfeffer et al.•ARTICLE•Social Network Analysis and Mining•2013•Citada por: 2•Referencias: 47

  • Whose harm gets detected? A structured review and conceptual framework for misogyny detection and Dari–Pashto marginalization in AI content moderation

    Open Access•Mursal Dawodi, Juergen Pfeffer et al.•ARTICLE•AI & Society•2026

    Women in Dari and Pashto digital spaces face gendered abuse expressed through proverbs, religious framing, and moral instruction forms that existing AI content moderation systems often fail to detect. This paper presents a theory-driven structured review of misogyny detection research, complemented by a structured empirical mapping of representative studies. Drawing on a corpus of 84 publications published between 2015 and 2025, we examine how mi…

Advanced Text Analysis Techniques (1 obras) · Artificial Intelligence (1 obras) · Complex Network Analysis Techniques (1 obras) · Computational and Text Analysis Methods (1 obras) · Computer Science (1 obras) · Conceptual framework (1 obras) · Conceptualization (1 obras) · Content analysis (1 obras) · Data science (1 obras) · Empirical research (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae