To be liked or not to be liked – what makes a photo interesting?

Auf einen Blick

Projektleiter/in : Prof. Dr. Wibke Weber
Co-Projektleiter/in : Dr. Helmut Grabner
Projektteam : Dr. Verena Lechner, Dario Obrist
Projektvolumen : CHF 19'500
Projektstatus : abgeschlossen
Drittmittelgeber : Interne Förderung (ZHAW digital / Digital Futures Fund)
Kontaktperson : Wibke Weber

Beschreibung

Photos are a wonderful medium in corporate and science communications to showcase what faculty, staff, and students do at the ZHAW. But which photos are interesting and which are not? The aim of our project is to better understand the aesthetic and semantic characteristics of the photos in relation to the academic context: what types of images are viewed, liked, and shared on social media and photo-sharing platforms and what makes them appealing? To answer this question, we will combine machine learning with methods from visual semiotics. We will perform a data-driven analysis to spot patterns in the photos by extracting structural, holistic scene features, and semantic information of the photos. The findings are intended to enhance the digital communications strategy of the ZHAW on social media. The research project is a collaboration between Media Linguistics (visuals semiotics) and Computer Vision (machine learning/deep learning).

Publikationen

Lechner, Verena; Weber, Wibke; Grabner, Helmut; Obrist, Dario,

2022.

What makes an image worth a like on Instagram? : a computer vision and visual communication approach to the use of images in corporate and science communication of universities.

In:

SACM Annual Conference / SGKM Jahrestagung 2022, Zürich, Schweiz, 21.-22. April 2022.

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