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Conversational agents enhance women's contribution in online debates.
Hadfi, Rafik; Okuhara, Shun; Haqbeen, Jawad; Sahab, Sofia; Ohnuma, Susumu; Ito, Takayuki.
Afiliación
  • Hadfi R; Department of Social Informatics, Kyoto University, Kyoto, Japan. rafik.hadfi@i.kyoto-u.ac.jp.
  • Okuhara S; Graduate School of Engineering, Mie University, Tsu, Mie, Japan.
  • Haqbeen J; Department of Social Informatics, Kyoto University, Kyoto, Japan.
  • Sahab S; Department of Social Informatics, Kyoto University, Kyoto, Japan.
  • Ohnuma S; Department of Behavioral Science, Hokkaido University, Sapporo, Japan.
  • Ito T; Department of Social Informatics, Kyoto University, Kyoto, Japan.
Sci Rep ; 13(1): 14534, 2023 09 04.
Article en En | MEDLINE | ID: mdl-37666917
The advent of Artificial Intelligence (AI) is fostering the development of innovative methods of communication and collaboration. Integrating AI into Information and Communication Technologies (ICTs) is now ushering in an era of social progress that has the potential to empower marginalized groups. This transformation paves the way to a digital inclusion that could qualitatively empower the online presence of women, particularly in conservative and male-dominated regions. To explore this possibility, we investigated the effect of integrating conversational agents into online debates encompassing 240 Afghans discussing the fall of Kabul in August 2021. We found that the agent leads to quantitative differences in how both genders contribute to the debate by raising issues, presenting ideas, and articulating arguments. We also found increased ideation and reduced inhibition for both genders, particularly females, when interacting exclusively with other females or the agent. The enabling character of the conversational agent reveals an apparatus that could empower women and increase their agency on online platforms.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Comunicación Límite: Female / Humans / Male Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Comunicación Límite: Female / Humans / Male Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido