Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Accuracy and Readability of Large Language Models’ Responses to Frequently Asked Questions on Social Assistance

Datos Bibliográficos

ID12987113
AutoresHacer Taşkıran Tepe (0000-0002-1500-6582, autor de correspondencia)
Año2026
Volumen17
Número2
Páginas000-000
Fecha de publicación2026-01-12
Open AccessSí
TipoARTICLE
RevistaJournal of the Society for Social Work and Research (JOURNAL)
Identificadores de la revistaISSN: 1948-822X • E-ISSN: 2334-2315
EditorialUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/740347
OpenAlexW7122757293
IdiomaEN
Referencias citadas29

Frequently asked questions · Readability · Social Assistance · Computational and Text Analysis Methods · Mental Health via Writing · Text Readability and Simplification · Social Work

  • Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum

    John W Ayers, Adam Poliak et al.•JAMA Internal Medicine•2023

  • A new readability yardstick.

    Rudolph Flesch•Journal of Applied Psychology•1948

  • AI Creates the Message

    Jonathan B Singer, Johanna Creswell Báez et al.•Journal of Social Work Education•2023

  • Social Work Educators Innovating With Generative AI

    Johanna Creswell Báez, Arlene Bjugstad et al.•Journal of Social Work Education•2025

  • Use of case studies in social work assessments – ChatGPT’s kryptonite

    Nicholas Raphael Netto•Social Work Education•2024

  • Challenges of using artificial intelligence in social work education

    Ahmed Mohammed Al-Rantisi, Noha H ElShanti et al.•Social Work Education•2026

  • Considering a Unified Model of Artificial Intelligence Enhanced Social Work

    Open Access•Michael Garkisch, Lauri Goldkind•Journal of Human Rights and…•2024

  • ChatGPT for Social Work Science

    Open Access•Desmond Upton Patton, Aviv Y Landau et al.•Journal of the Society for Social…•2023

  • Recommendations for Social Work Researchers and Journal Editors on the Use of Generative AI and Large Language Models

    Open Access•Bryan G Victor, Rebeccah L Sokol et al.•Journal of the Society for Social…•2023

  • Time to Move Beyond the ASWB Licensing Exams

    Open Access•Bryan G Victor, Sheryl Kubiak et al.•Research on Social Work Practice•2023

  • Social work in the digital age

    Open Access•Thommy Sebatana Molala•International Social Work•2025

  • Comparative Efficacy of AI LLMs in Clinical Social Work

    Open Access•Hacer Taşkıran Tepe, Hüsnünur Aslantürk•Research on Social Work Practice•2025

  • Introducing a New JSSWR Specialty Series on Artificial Intelligence and Social Work

    Open Access•Bryan G Victor, Todd I Herrenkohl•Journal of the Society for Social…•2025

  • Artificial Intelligence (AI) Literacy for Social Work

    Open Access•Eunhye Ahn, Moon Ki Choi et al.•Journal of the Society for Social…•2025

Altamente citadoNo

Herramientas

Abrir DOI
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