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Juergen Pfeffer

Dados Biográficos

ID3925101
NOMEJuergen Pfeffer
PRENOMESJuergen
SOBRENOMEPfeffer
ASSINATURAPFEFFER J
AFILIAÇÕESCarnegie Mellon University
VERIFICADONão
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES2
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2013
ANO MAIS RECENTE DE PUBLICAÇÃO2026
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•Referências: 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•Referências: 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•Referências: 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 • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae