Showing how you Found Waldo
Navigating Visual Messiness by Distilling Visual Patterns into Icons
Bibliographic Data
| ID | 2411945 |
|---|---|
| Authors | Israël Fortin (0000-0002-1672-7699), M J Lehtonen (0000-0001-9578-4546) |
| Year | 2025 |
| Volume | 24 |
| Publication date | 2025-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Qualitative Methods (JOURNAL) |
| Journal identifiers | ISSN: 1609-4069 • E-ISSN: 1609-4069 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/16094069251333594 |
| OpenAlex | W4409613613 |
| Language | EN |
| References cited | 66 |
Inductive analyses of visuals remain sparse in fields dominated by quantitative methods. This might come from the lack of systematic inductive methods to present the analysis of visuals in all their complexity and richness, especially in empirical articles limited in word count. In this article, we detail three steps to show more robustness in the analyses of visuals by gradually removing 'visual messiness' from raw visuals. This method builds on visual semiotics to generate visual chains of signification presented with icons to demonstrate how messy visuals are gradually interpreted. While this presentation of the analysis of visuals can communicate more information in fewer words and allow the use of unauthorized visuals, removing visual messiness reduces polysemy and increases visual salience to better focus the attention of the readers on the subject of inquiry. This method expands the analytic tools available to researchers and might increase the perceived legitimacy of inductive analyses of messy visuals for some academic reviewers, which can lead to more publications of such analyses
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| Citation velocity | historical |
|---|---|
| Highly cited | No |