In this invited paper, we describe the potential use of ChatGPT in social work science, exploring opportunities and ethical challenges related to the deployment of large language models (LLM), specifically ChatGPT, for social work science. We offer several preliminary recommendations for the ethical use of ChatGPT in social work science and call on the profession’s governing organizations to develop a comprehensive ethical framework for the use of LLMs such as ChatGPT in social work research.
{"title":"ChatGPT for Social Work Science: Ethical Challenges and Opportunities","authors":"D. Patton, Aviv Y. Landau, Siva Mathiyazhagan","doi":"10.1086/726042","DOIUrl":"https://doi.org/10.1086/726042","url":null,"abstract":"In this invited paper, we describe the potential use of ChatGPT in social work science, exploring opportunities and ethical challenges related to the deployment of large language models (LLM), specifically ChatGPT, for social work science. We offer several preliminary recommendations for the ethical use of ChatGPT in social work science and call on the profession’s governing organizations to develop a comprehensive ethical framework for the use of LLMs such as ChatGPT in social work research.","PeriodicalId":51692,"journal":{"name":"Journal of the Society for Social Work and Research","volume":"48 1","pages":"553 - 562"},"PeriodicalIF":1.8,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79121172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Punishing Black Trauma: Anti-Black Racism and ‘Trauma-Informed’ School Social Work","authors":"Christine Mayor","doi":"10.1086/726043","DOIUrl":"https://doi.org/10.1086/726043","url":null,"abstract":"","PeriodicalId":51692,"journal":{"name":"Journal of the Society for Social Work and Research","volume":"33 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85213943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bryan G. Victor, R. Sokol, Lauri Goldkind, Brian Perron
Generative artificial intelligence (AI) and large language models (LLMs) are poised to significantly impact social work research. These technologies can produce high-quality written materials and support qualitative and quantitative data analysis with simple, plain-language prompts from users. However, they also introduce challenges, such as potential bias, data privacy concerns, and generation of misinformation. In this paper, we use a disruptive–disrupting framework to discuss the dual nature of generative AI and LLMs and offer recommendations for social work researchers and journal editors that include guidance around data collection, analysis, interpretation, and dissemination. Researchers must use great caution when deploying generative AI technologies, meticulously examining, verifying, and taking accountability for the text and analyses produced by these instruments. Likewise, journal editors will need to implement quality control procedures and ethical standards to guide and evaluate the use of these technologies in social work research. We consider the recommendations offered here as a point of departure for disciplinary conversations about the role of generative AI and LLMs in social work research.
{"title":"Recommendations for Social Work Researchers and Journal Editors on the Use of Generative AI and Large Language Models","authors":"Bryan G. Victor, R. Sokol, Lauri Goldkind, Brian Perron","doi":"10.1086/726021","DOIUrl":"https://doi.org/10.1086/726021","url":null,"abstract":"Generative artificial intelligence (AI) and large language models (LLMs) are poised to significantly impact social work research. These technologies can produce high-quality written materials and support qualitative and quantitative data analysis with simple, plain-language prompts from users. However, they also introduce challenges, such as potential bias, data privacy concerns, and generation of misinformation. In this paper, we use a disruptive–disrupting framework to discuss the dual nature of generative AI and LLMs and offer recommendations for social work researchers and journal editors that include guidance around data collection, analysis, interpretation, and dissemination. Researchers must use great caution when deploying generative AI technologies, meticulously examining, verifying, and taking accountability for the text and analyses produced by these instruments. Likewise, journal editors will need to implement quality control procedures and ethical standards to guide and evaluate the use of these technologies in social work research. We consider the recommendations offered here as a point of departure for disciplinary conversations about the role of generative AI and LLMs in social work research.","PeriodicalId":51692,"journal":{"name":"Journal of the Society for Social Work and Research","volume":"19 1","pages":"563 - 577"},"PeriodicalIF":1.8,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88035103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Sokol, J. Clift, LaTricia Mitchell, Juan José Martínez, Carissa Rusnak
{"title":"Students’ and Caregivers’ Attitudes and Preferences Toward Screening for Negative Social Determinants of Health in a Predominantly Latinx High School","authors":"R. Sokol, J. Clift, LaTricia Mitchell, Juan José Martínez, Carissa Rusnak","doi":"10.1086/725701","DOIUrl":"https://doi.org/10.1086/725701","url":null,"abstract":"","PeriodicalId":51692,"journal":{"name":"Journal of the Society for Social Work and Research","volume":"378 ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72541375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributive Politics of U.S. Refugee Resettlement: Examining Temporal Trends and State-Level Factors Associated with Discretionary Federal Funding","authors":"","doi":"10.1086/725430","DOIUrl":"https://doi.org/10.1086/725430","url":null,"abstract":"","PeriodicalId":51692,"journal":{"name":"Journal of the Society for Social Work and Research","volume":"4 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79269177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Silent Suffering: Understanding the Experiences of Black Caregivers of Violently Injured Men","authors":"","doi":"10.1086/725432","DOIUrl":"https://doi.org/10.1086/725432","url":null,"abstract":"","PeriodicalId":51692,"journal":{"name":"Journal of the Society for Social Work and Research","volume":"9 10 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88811073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Narratives and Discourses of Epistemic Justice, Power, and Oppression in Community-Based Participatory Research Collaborations","authors":"Catalina Tang Yan","doi":"10.1086/725433","DOIUrl":"https://doi.org/10.1086/725433","url":null,"abstract":"","PeriodicalId":51692,"journal":{"name":"Journal of the Society for Social Work and Research","volume":"2 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81333937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How do Muslims Cope with the Difficulties they Experience in the United States? An Examination of Psychological and Spiritual Coping Strategies","authors":"D. Hodge, Tarek Zidan, A. Husain","doi":"10.1086/725431","DOIUrl":"https://doi.org/10.1086/725431","url":null,"abstract":"","PeriodicalId":51692,"journal":{"name":"Journal of the Society for Social Work and Research","volume":"1 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90210456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: The COVID-19 pandemic has been associated with significant impacts to daily life and diverse experiences of loss among college and university students. The aim of the current study is to describe social work students’ experiences of loss and grief following the onset of the COVID-19 pandemic and explore the ways these experiences may have differed by program degree, modality, and background characteristics. Method: A cross-sectional survey (N=354) administered with social work students across degree programs during April–May 2020 provided both quantitative and qualitative open-ended responses. We used a convergent mixed-methods design to merge inductively analyzed qualitative data and quantitative demographic and background data. Results: Key findings highlight students’ varied and compounded experiences of loss during the COVID-19 pandemic, with differences in loss experienced by program modality (traditional, hybrid, or online) and age. Conclusion: Findings suggest the need for social work education programmatic responses for students’ overlapping experiences of loss and grief from the COVID-19 pandemic and future academic disruptions, with particular attention to students of younger age and differing program modality.
{"title":"Social Work Students’ Experiences of Loss and Grief During the COVID-19 Pandemic: A Mixed-Methods Study","authors":"Aynsley Scheffert, D. Parrish","doi":"10.1086/723031","DOIUrl":"https://doi.org/10.1086/723031","url":null,"abstract":"Objective: The COVID-19 pandemic has been associated with significant impacts to daily life and diverse experiences of loss among college and university students. The aim of the current study is to describe social work students’ experiences of loss and grief following the onset of the COVID-19 pandemic and explore the ways these experiences may have differed by program degree, modality, and background characteristics. Method: A cross-sectional survey (N=354) administered with social work students across degree programs during April–May 2020 provided both quantitative and qualitative open-ended responses. We used a convergent mixed-methods design to merge inductively analyzed qualitative data and quantitative demographic and background data. Results: Key findings highlight students’ varied and compounded experiences of loss during the COVID-19 pandemic, with differences in loss experienced by program modality (traditional, hybrid, or online) and age. Conclusion: Findings suggest the need for social work education programmatic responses for students’ overlapping experiences of loss and grief from the COVID-19 pandemic and future academic disruptions, with particular attention to students of younger age and differing program modality.","PeriodicalId":51692,"journal":{"name":"Journal of the Society for Social Work and Research","volume":"45 1","pages":"29 - 52"},"PeriodicalIF":1.8,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81854063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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