Abstract
While user-generated images represent important information sources in IS in general and in social media in particular, there is little research that analyzes image design and its effects on image popularity. We introduce an innovative computational approach to extract image design characteristics that includes convolutional neural network-based image classification, a dimensionality reduction via principal component analysis, manual measurement validation, and a regression analysis. An analysis of 790,775 car images from 17 brands posted in 68 car model communities on a social media platform reveals several effects of product presentation on image popularity that relate to the levels of utility reference, experience reference, and visual detail. A comparison of economy cars and premium cars shows that car class moderates these image design effects. Our results contribute to the extant literature on brand communities and content popularity in social media. The proposed computational visual analysis methodology may inform the study of other image-based IS.
Original language | English |
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Title of host publication | Proceedings of the 27th European Conference on Information Systems |
Subtitle of host publication | Information Systems for a Sharing Society, ECIS 2019 |
Editors | Jan vom Brocke, Shirley Gregor, Oliver Muller |
Place of Publication | Sweden |
Publisher | Association for Information Systems |
ISBN (Electronic) | 9781733632508 |
Publication status | Published - 2019 |
Externally published | Yes |
Event | European Conference on Information Systems 2019: Information Systems for a Sharing Society - Stockholm and Uppsala, Sweden Duration: 8 Jun 2019 → 14 Jun 2019 Conference number: 27th http://ecis2019.eu/ |
Conference
Conference | European Conference on Information Systems 2019 |
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Abbreviated title | ECIS 2019 |
Country/Territory | Sweden |
City | Stockholm and Uppsala |
Period | 8/06/19 → 14/06/19 |
Internet address |
Keywords
- Computational visual analysis
- Convolutional neural networks
- Image analysis
- Product communities
- Social media