To believe or not to believe? Generative AI and the 'trust dilemma' in charitable and medical crowdfunding.
While charitable and medical crowdfunding has become a vital resource for individuals facing financial hardships, it also raises significant ethical and trust-related concerns. Generative AI (GenAI) offers opportunities to enhance fundraising effectiveness, but its misuse could undermine donor confi...
| Publicado en: | Behaviour & Information Technology Vol. 45; no. 11; pp. 2742 - 2762 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jul2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195034172&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195034172 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0144929X B6Q jtl: Behaviour & Information Technology issn: 0144929X maglogo: Y pubinfo: dt: Jul2026 vid: 45 iid: 11 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 195034172 189406169 195034172 195034172 10.1080/0144929X.2025.2590099 195034172 ppf: 2742 ppct: 20 formats: tig: atl: To believe or not to believe? Generative AI and the 'trust dilemma' in charitable and medical crowdfunding. aug: au: Arnold, Caroline Xu, Larry Zhiming Saffarizadeh, Kambiz Madiraju, Praveen affil: Primera Engineers, Chicago, Illinois, USA sug: subj: Artificial Intelligence, Generative Trust Crowdsourcing Philanthropy Human Funding Source Male Female Adult Middle Age Aged Aged, 80 and Over Descriptive Research Logistic Regression Multivariate Analysis of Covariance Paired T-Tests Descriptive Statistics Data Analysis Software Surveys Emotions Decision Making Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: While charitable and medical crowdfunding has become a vital resource for individuals facing financial hardships, it also raises significant ethical and trust-related concerns. Generative AI (GenAI) offers opportunities to enhance fundraising effectiveness, but its misuse could undermine donor confidence and exacerbate existing trust issues. Grounded in trust theory and algorithm aversion, this research examines the complexities of integrating GenAI into crowdfunding. Study 1 employed paragraph vectors, the NRC Emotional Lexicon, and LIWC to analyze linguistic and sentiment differences between human-written and AI-rewritten GoFundMe campaigns (N = 1,800). Study 2 used a human-in-the-loop approach in a between-subjects randomised experiment (N = 601) to assess how AI authorship and disclosure influenced cognitive and affective trust among donors. Findings revealed that AI-rewritten messages were more analytical, goal-directed, and emotionally expressive but appeared overly polished and less authentic. Notably, disclosing AI involvement significantly reduced both cognitive and affective trust. This 'trust dilemma' underscores the ethical complexities of GenAI in crowdfunding, emphasising the need for transparency and regulatory frameworks to ensure responsible AI integration in socially sensitive domains. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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