Keep bright in the dark: Multimodal emotional effects on donation‐based crowdfunding performance and their empathic mechanisms.
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| Title: | Keep bright in the dark: Multimodal emotional effects on donation‐based crowdfunding performance and their empathic mechanisms. |
|---|---|
| Authors: | Guo, Rui (AUTHOR), Wang, Guolong (AUTHOR), Wu, Ding (AUTHOR), Wu, Zhen (AUTHOR) |
| Source: | British Journal of Psychology. May2026, Vol. 117 Issue 2, p610-635. 26p. |
| Subjects: | Crowdsourcing, Empathy, Altruism, Social media, Statistical power analysis, Research funding, Data analysis, Artificial intelligence, Emotions, Decision making, Fundraising, Descriptive statistics, Multivariate analysis, Advertising, Motivation (Psychology), Deep learning, Social skills, Communication, Analysis of variance, Statistics, Interpersonal relations, Health promotion, Charities, Comparative studies, Data analysis software, Facial expression, Regression analysis |
| Geographic Terms: | China |
| Abstract: | How to raise donations effectively, especially in the E‐era, has puzzled fundraisers and scientists across various disciplines. Our research focuses on donation‐based crowdfunding projects and investigates how the emotional valence expressed verbally (in textual descriptions) and visually (in facial images) in project descriptions affects project performance. Study 1 uses field data (N = 3817), grabs project information and descriptions from a top donation‐based crowdfunding platform, computes visual and verbal emotional valence using a deep‐learning‐based affective computing method and analyses how multimodal emotional valence influences donation outcomes. Study 2 conducts experiments in GPT‐4 (Study 2a, N = 400) and humans (Study 2b, N = 240), manipulates the project's visual and verbal emotional valence through AI‐generated stimuli and then assesses donation decisions (both GPT‐4 and humans) and corresponding state empathy (humans). The results indicate a multimodal positivity superiority effect: both visual and verbal emotional valence promote initial whether‐to‐donate decisions, whereas only verbal emotional valence further promotes the how‐much‐to‐donate decisions. Notably, such multimodal emotional effects can be explained through different mediating paths of empathic concern and empathic hopefulness. The current study theoretically facilitates our understanding of the emotional motivations underlying human prosociality and provides insights into crafting impactful advertisements for online donations. [ABSTRACT FROM AUTHOR] |
| Copyright of British Journal of Psychology is the property of Wiley-Blackwell 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: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 192785888 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Keep bright in the dark: Multimodal emotional effects on donation‐based crowdfunding performance and their empathic mechanisms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Guo%2C+Rui%22">Guo, Rui</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Guolong%22">Wang, Guolong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Ding%22">Wu, Ding</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Zhen%22">Wu, Zhen</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22British+Journal+of+Psychology%22">British Journal of Psychology</searchLink>. May2026, Vol. 117 Issue 2, p610-635. 26p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Crowdsourcing%22">Crowdsourcing</searchLink><br /><searchLink fieldCode="DE" term="%22Empathy%22">Empathy</searchLink><br /><searchLink fieldCode="DE" term="%22Altruism%22">Altruism</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+power+analysis%22">Statistical power analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Emotions%22">Emotions</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Fundraising%22">Fundraising</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Advertising%22">Advertising</searchLink><br /><searchLink fieldCode="DE" term="%22Motivation+%28Psychology%29%22">Motivation (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Deep+learning%22">Deep learning</searchLink><br /><searchLink fieldCode="DE" term="%22Social+skills%22">Social skills</searchLink><br /><searchLink fieldCode="DE" term="%22Communication%22">Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+variance%22">Analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Interpersonal+relations%22">Interpersonal relations</searchLink><br /><searchLink fieldCode="DE" term="%22Health+promotion%22">Health promotion</searchLink><br /><searchLink fieldCode="DE" term="%22Charities%22">Charities</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Facial+expression%22">Facial expression</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: How to raise donations effectively, especially in the E‐era, has puzzled fundraisers and scientists across various disciplines. Our research focuses on donation‐based crowdfunding projects and investigates how the emotional valence expressed verbally (in textual descriptions) and visually (in facial images) in project descriptions affects project performance. Study 1 uses field data (N = 3817), grabs project information and descriptions from a top donation‐based crowdfunding platform, computes visual and verbal emotional valence using a deep‐learning‐based affective computing method and analyses how multimodal emotional valence influences donation outcomes. Study 2 conducts experiments in GPT‐4 (Study 2a, N = 400) and humans (Study 2b, N = 240), manipulates the project's visual and verbal emotional valence through AI‐generated stimuli and then assesses donation decisions (both GPT‐4 and humans) and corresponding state empathy (humans). The results indicate a multimodal positivity superiority effect: both visual and verbal emotional valence promote initial whether‐to‐donate decisions, whereas only verbal emotional valence further promotes the how‐much‐to‐donate decisions. Notably, such multimodal emotional effects can be explained through different mediating paths of empathic concern and empathic hopefulness. The current study theoretically facilitates our understanding of the emotional motivations underlying human prosociality and provides insights into crafting impactful advertisements for online donations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of British Journal of Psychology is the property of Wiley-Blackwell 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=192785888 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/bjop.12774 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 610 Subjects: – SubjectFull: Crowdsourcing Type: general – SubjectFull: Empathy Type: general – SubjectFull: Altruism Type: general – SubjectFull: Social media Type: general – SubjectFull: Statistical power analysis Type: general – SubjectFull: Research funding Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Emotions Type: general – SubjectFull: Decision making Type: general – SubjectFull: Fundraising Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Advertising Type: general – SubjectFull: Motivation (Psychology) Type: general – SubjectFull: Deep learning Type: general – SubjectFull: Social skills Type: general – SubjectFull: Communication Type: general – SubjectFull: Analysis of variance Type: general – SubjectFull: Statistics Type: general – SubjectFull: Interpersonal relations Type: general – SubjectFull: Health promotion Type: general – SubjectFull: Charities Type: general – SubjectFull: Comparative studies Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Facial expression Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: China Type: general Titles: – TitleFull: Keep bright in the dark: Multimodal emotional effects on donation‐based crowdfunding performance and their empathic mechanisms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Guo, Rui – PersonEntity: Name: NameFull: Wang, Guolong – PersonEntity: Name: NameFull: Wu, Ding – PersonEntity: Name: NameFull: Wu, Zhen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00071269 Numbering: – Type: volume Value: 117 – Type: issue Value: 2 Titles: – TitleFull: British Journal of Psychology Type: main |
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