Exploring the efficacy of ChatGPT in understanding and identifying intimate partner violence.
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| Title: | Exploring the efficacy of ChatGPT in understanding and identifying intimate partner violence. |
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| Authors: | Zhang, Ying1 yinzhang@clarkson.edu, Fang, Jun2, Luo, Xiaochen3, Lindsay, Danielle1, Madre, Nabiha1, Paredes, Jean1, Penna, Alan1, Melley, Emma1, Garcia, Tatum1 |
| Source: | Family Relations (John Wiley & Sons, Inc.). Jul2025, Vol. 74 Issue 3, p1233-1249. 17p. |
| Subject Terms: | *Artificial intelligence, *Families, ChatGPT, Intimate partner violence, Language models |
| Abstract: | Objective: This study aims to examine the efficiency and consistency of ChatGPT in identifying intimate partner violence (IPV) and the frequency of emotional and informational support ChatGPT provided. Background: The integration of artificial intelligence–based conversational large language models, such as ChatGPT, in understanding relationship dynamics has sparked both interest and debate within the scientific community. This tool could be valuable in offering immediate, personalized responses to questions about relationships, including those involving conflicts and violence. Method: We extracted 500 posts involving IPV and 80 posts involving nonviolent family tension from online IPV help‐seeking forums as prompts for ChatGPT (Version 3.5). We coded ChatGPT's responses and examined their congruence and consistency in identifying IPV compared to human experts. We also examined incidents where ChatGPT misjudged. Lastly, we assessed the presence of informational and emotional support in ChatGPT's responses to prompts involving IPV. Results: ChatGPT‐3.5 was able to identify cases involving IPV (physical violence, psychological violence, and controlling behavior) correctly in 91.2% of the cases. Misjudgment mostly occurred due to community policies or nuanced context information. ChatGPT consistently provided emotional support and informational support to users who presented IPV‐related inquiries. Conclusion: ChatGPT‐3.5 could reach a relatively high accuracy and consistency in identifying IPV and can provide supportive responses. Implications: ChatGPT can serve as an initial resource for individuals and family members seeking help with IPV, offering immediate, empathetic, and informational support. However, improvements are needed to address its limitations in handling nuanced cases and to ensure ethical use and user safety. [ABSTRACT FROM AUTHOR] |
| Copyright of Family Relations (John Wiley & Sons, Inc.) is the property of John Wiley & Sons, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 185725890 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Exploring the efficacy of ChatGPT in understanding and identifying intimate partner violence. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Ying%22">Zhang, Ying</searchLink><relatesTo>1</relatesTo><i> yinzhang@clarkson.edu</i><br /><searchLink fieldCode="AR" term="%22Fang%2C+Jun%22">Fang, Jun</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Luo%2C+Xiaochen%22">Luo, Xiaochen</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Lindsay%2C+Danielle%22">Lindsay, Danielle</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Madre%2C+Nabiha%22">Madre, Nabiha</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Paredes%2C+Jean%22">Paredes, Jean</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Penna%2C+Alan%22">Penna, Alan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Melley%2C+Emma%22">Melley, Emma</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Garcia%2C+Tatum%22">Garcia, Tatum</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Family+Relations+%28John+Wiley+%26+Sons%2C+Inc%2E%29%22">Family Relations (John Wiley & Sons, Inc.)</searchLink>. Jul2025, Vol. 74 Issue 3, p1233-1249. 17p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Families%22">Families</searchLink><br /><searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink><br /><searchLink fieldCode="DE" term="%22Intimate+partner+violence%22">Intimate partner violence</searchLink><br /><searchLink fieldCode="DE" term="%22Language+models%22">Language models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objective: This study aims to examine the efficiency and consistency of ChatGPT in identifying intimate partner violence (IPV) and the frequency of emotional and informational support ChatGPT provided. Background: The integration of artificial intelligence–based conversational large language models, such as ChatGPT, in understanding relationship dynamics has sparked both interest and debate within the scientific community. This tool could be valuable in offering immediate, personalized responses to questions about relationships, including those involving conflicts and violence. Method: We extracted 500 posts involving IPV and 80 posts involving nonviolent family tension from online IPV help‐seeking forums as prompts for ChatGPT (Version 3.5). We coded ChatGPT's responses and examined their congruence and consistency in identifying IPV compared to human experts. We also examined incidents where ChatGPT misjudged. Lastly, we assessed the presence of informational and emotional support in ChatGPT's responses to prompts involving IPV. Results: ChatGPT‐3.5 was able to identify cases involving IPV (physical violence, psychological violence, and controlling behavior) correctly in 91.2% of the cases. Misjudgment mostly occurred due to community policies or nuanced context information. ChatGPT consistently provided emotional support and informational support to users who presented IPV‐related inquiries. Conclusion: ChatGPT‐3.5 could reach a relatively high accuracy and consistency in identifying IPV and can provide supportive responses. Implications: ChatGPT can serve as an initial resource for individuals and family members seeking help with IPV, offering immediate, empathetic, and informational support. However, improvements are needed to address its limitations in handling nuanced cases and to ensure ethical use and user safety. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Family Relations (John Wiley & Sons, Inc.) is the property of John Wiley & Sons, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/fare.13176 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1233 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Families Type: general – SubjectFull: ChatGPT Type: general – SubjectFull: Intimate partner violence Type: general – SubjectFull: Language models Type: general Titles: – TitleFull: Exploring the efficacy of ChatGPT in understanding and identifying intimate partner violence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Ying – PersonEntity: Name: NameFull: Fang, Jun – PersonEntity: Name: NameFull: Luo, Xiaochen – PersonEntity: Name: NameFull: Lindsay, Danielle – PersonEntity: Name: NameFull: Madre, Nabiha – PersonEntity: Name: NameFull: Paredes, Jean – PersonEntity: Name: NameFull: Penna, Alan – PersonEntity: Name: NameFull: Melley, Emma – PersonEntity: Name: NameFull: Garcia, Tatum IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 17413729 Numbering: – Type: volume Value: 74 – Type: issue Value: 3 Titles: – TitleFull: Family Relations (John Wiley & Sons, Inc.) Type: main |
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