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<p>In this article, we argue that to capture the liveliness of how visual public debates like the climate controversy unfold online, we must replace snapshot and single-platform approaches with a method that can capture their temporal and cross-platform dynamics. We suggest that such a methodology could be assembled by combining image recognition, visual network analysis, and a quali-quantitative approach within a digital methods framework. We demonstrate the potential application of the methodology in a two-fold case study of 1) how the human–nature relation is visually depicted on Instagram and Twitter, and 2) how visual genres in the climate debate on Twitter change from 2015 to 2017. Through these experiments, we analyse more than a quarter million social media images to produce novel insights about the climate debate, while showcasing how the computational and visual capabilities of social science can be bridged to open up opportunities for mapping complex visual debates across platforms and time.</p>
</abstract>

In this article, we argue that to capture the liveliness of how visual public debates like the climate controversy unfold online, we must replace snapshot and single-platform approaches with a method that can capture their temporal and cross-platform dynamics. We suggest that such a methodology could be assembled by combining image recognition, visual network analysis, and a quali-quantitative approach within a digital methods framework. We demonstrate the potential application of the methodology in a two-fold case study of 1) how the human–nature relation is visually depicted on Instagram and Twitter, and 2) how visual genres in the climate debate on Twitter change from 2015 to 2017. Through these experiments, we analyse more than a quarter million social media images to produce novel insights about the climate debate, while showcasing how the computational and visual capabilities of social science can be bridged to open up opportunities for mapping complex visual debates across platforms and time.

Bridging the computational and visual turn: Re-tooling visual studies with image recognition and network analysis to study online climate images

Nordic Journal of Media Studies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In this article, we argue that to capture the liveliness of how visual public debates like the climate controversy unfold online, we must replace snapshot and...

Bridging the computational and visual turn: Re-tooling visual studies with image recognition and network analysis to study online climate images

Online veröffentlicht: 06. Juli 2021

Seitenbereich: 141 - 163

DOI: https://doi.org/10.2478/njms-2021-0008

Schlüsselwörter
digital methods, visual studies, climate change, Twitter, Instagram

© 2021 Sofie Thorsen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Bridging the computational and visual turn: Re-tooling visual studies with image recognition and network analysis to study online climate images

Online veröffentlicht: 06. Juli 2021

Seitenbereich: 141 - 163

DOI: https://doi.org/10.2478/njms-2021-0008

Schlüsselwörterdigital methods, visual studies, climate change, Twitter, Instagram

© 2021 Sofie Thorsen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
digital methods, visual studies, climate change, Twitter, Instagram