View in EDS HTML Full Text PDF Full Text

AI vs. Human Paintings? Deciphering Public Interactions and Perceptions Towards AI-Generated Paintings on TikTok.

Saved in:
Bibliographic Details
Title: AI vs. Human Paintings? Deciphering Public Interactions and Perceptions Towards AI-Generated Paintings on TikTok.
Authors: Wang, Jiajun (AUTHOR), Yuan, Xiangzhe (AUTHOR), Hu, Siying (AUTHOR), Lu, Zhicong (AUTHOR)
Source: International Journal of Human-Computer Interaction. Mar2026, Vol. 42 Issue 5, p3307-3330. 24p.
Subjects: TikTok (Web resource), Human-artificial intelligence interaction, Audience participation, Aesthetics, Computer art, Art thefts, Public opinion
Abstract: With the rise of generative AI, AI-generated paintings (AIGP) have gone viral on platforms like TikTok, but also sparked controversy. In 2022, global artists protested against AI models for infringing on their works during training, highlighting overlooked public concerns. Therefore, to investigate public interactions and perceptions towards AIGP on social media, we analyzed user engagement level and comment sentiment scores of AIGP using human painting videos as a baseline. In analyzing user engagement, we also considered the possible moderating effect of the aesthetic quality of Paintings. Topic modeling revealed seven key reasons for negative perceptions, such as hyperrealistic effects, ambivalent reactions, and perceived art theft. Our work may provide instructive suggestions for future generative AI technology development and avoid potential crises in human-AI collaboration. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd 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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 191948340
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: AI vs. Human Paintings? Deciphering Public Interactions and Perceptions Towards AI-Generated Paintings on TikTok.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Jiajun%22">Wang, Jiajun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yuan%2C+Xiangzhe%22">Yuan, Xiangzhe</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Siying%22">Hu, Siying</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Zhicong%22">Lu, Zhicong</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Mar2026, Vol. 42 Issue 5, p3307-3330. 24p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22TikTok+%28Web+resource%29%22">TikTok (Web resource)</searchLink><br /><searchLink fieldCode="DE" term="%22Human-artificial+intelligence+interaction%22">Human-artificial intelligence interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Audience+participation%22">Audience participation</searchLink><br /><searchLink fieldCode="DE" term="%22Aesthetics%22">Aesthetics</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+art%22">Computer art</searchLink><br /><searchLink fieldCode="DE" term="%22Art+thefts%22">Art thefts</searchLink><br /><searchLink fieldCode="DE" term="%22Public+opinion%22">Public opinion</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the rise of generative AI, AI-generated paintings (AIGP) have gone viral on platforms like TikTok, but also sparked controversy. In 2022, global artists protested against AI models for infringing on their works during training, highlighting overlooked public concerns. Therefore, to investigate public interactions and perceptions towards AIGP on social media, we analyzed user engagement level and comment sentiment scores of AIGP using human painting videos as a baseline. In analyzing user engagement, we also considered the possible moderating effect of the aesthetic quality of Paintings. Topic modeling revealed seven key reasons for negative perceptions, such as hyperrealistic effects, ambivalent reactions, and perceived art theft. Our work may provide instructive suggestions for future generative AI technology development and avoid potential crises in human-AI collaboration. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd 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=191948340
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10447318.2025.2531284
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 3307
    Subjects:
      – SubjectFull: TikTok (Web resource)
        Type: general
      – SubjectFull: Human-artificial intelligence interaction
        Type: general
      – SubjectFull: Audience participation
        Type: general
      – SubjectFull: Aesthetics
        Type: general
      – SubjectFull: Computer art
        Type: general
      – SubjectFull: Art thefts
        Type: general
      – SubjectFull: Public opinion
        Type: general
    Titles:
      – TitleFull: AI vs. Human Paintings? Deciphering Public Interactions and Perceptions Towards AI-Generated Paintings on TikTok.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wang, Jiajun
      – PersonEntity:
          Name:
            NameFull: Yuan, Xiangzhe
      – PersonEntity:
          Name:
            NameFull: Hu, Siying
      – PersonEntity:
          Name:
            NameFull: Lu, Zhicong
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 10447318
          Numbering:
            – Type: volume
              Value: 42
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: International Journal of Human-Computer Interaction
              Type: main
ResultId 1