Visualizing the Paris Climate Talks on Twitter: Media and Climate Stakeholder Visual Social Media During COP21

Hopke, Jill E.; Hestres, Luis E.

doi:10.1177/2056305118782687

Cited by 54 publications

(43 citation statements)

References 41 publications

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“…Previous studies have looked into the field of ecosystem services research or the citation structure surrounding one particular paper (Costanza and Kubiszewski 2012, Branch 2013, Abson et al 2014, or there have been studies using Twitter data to investigate climate change issues (Newman 2017, Hopke andHestres 2018). Although natural capital, i.e., the stock of the world's natural resources, is interlinked to ecosystem services, i.e., the benefits that we receive from nature, they are two different concepts that can often be confused.…”

Section: Introductionmentioning

confidence: 99%

Exploring natural capital using bibliometrics and social media data

Pan¹,

Vira²

2019

E&S

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Research and interest into natural capital, i.e., the stock of the world's natural resources, is increasing as it links humans with nature within a social-ecological system, contributing to ecosystem sustainability. We collected publication data for 300 natural capital papers to explore academic networks and research trends. We used Twitter to collect 14,193 tweets about natural capital over nine months. Analyzing publication data shows three main research clusters, but few coauthorships between the clusters. The results show substantial international coauthorships, and the dominance of American and British academics as coauthors. Analyzing Twitter data, we identified a small community of key users that tweet about natural capital frequently. We found that a range of words is used in tweets about natural capital and the overall sentiment of tweets is positive. For both types of data, "ecosystem services" and "biodiversity" are keywords associated with natural capital. Our results have identified key communities of natural capital researchers, but highlight a potential disconnect between research clusters that needs to be addressed. Current communities surrounding natural capital in academia and on Twitter are relatively exclusive and small.

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Section: Introductionmentioning

confidence: 99%

Exploring natural capital using bibliometrics and social media data

Pan¹,

Vira²

2019

E&S

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“…Since the Arab Spring and Occupy Wall Street movements, Twitter has developed a reputation as a platform for protests because it ampli es individual voices, and the mass of critical tweets in this study re ects this. That most tweets used photographs also ts as photos can help build social movements and networks (57,58), visual fortify propaganda during con icts (59) and images can foster advocacy, as we have also seen with climate change movements (60,61).…”

Section: Discussionmentioning

confidence: 99%

Covid-19 on Twitter: an analysis of risk communication with visuals

Sleigh

Amann

Schneider

et al. 2021

Preprint

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Background: In a pandemic, when timely and clear communication is important, visuals on social media can help citizens quickly find and understand health risk information. In recognition of visuality and social media’s value during a crisis, we investigated popular Covid-19 risk communication with visuals posted on the platform Twitter. Looking at tweet authors, their use of graphics, the preventative messages, and risk framing, our objective was to determine how visual communication on Twitter promoted WHO Covid-19 health recommendations.Methods: We sourced Twitter’s 500 most retweeted Covid-19 messages for each month from January - October 2020 using Crowdbreaks. Included tweets had to have visuals, be in English, come from verified accounts, and contain at least one of the keywords ‘covid19', 'coronavirus', 'corona', or 'covid’. Following a retrospective approach, we then performed a qualitative content analysis of the tweets’ text and visuals. Results: Most of the tweets analysed came from influencers - individuals with many followers (51%), followed by media companies (30%), and health and government institutions (15%). At the start of the pandemic, the latter two were most prevalent. Analysis of visual formats showed that photographs were most common, and the majority of tweets combined them with other graphic types (55%). 68% of tweets had text in their visual, 42% of all visuals were animated, and 26% included a URL. ‘Stay home’ and ‘wear a mask’ were the most frequently communicated Covid-19 preventative measures. 70% of tweets used risk framing (emphasising health gains or loss), and 32% had tones of critique.Conclusion: This study found that the most retweeted Covid-19 preventative measures with visuals mostly came from individuals, showing that health and government organisations were not alone in promoting preventative measures on Twitter. This stresses the important role individuals play in the dissemination of information using social media during a health crisis. The finding that more tweets used health loss framing, often combined with the emotive medium of photographs, raises concerns about persuasive tactics feeding on fear. Future research is needed to better understand this approach's consequences and its impact on public perceptions and behaviours.

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“…While some visual studies of climate change have examined social media images (Hopke & Hestres, 2018), they have done so mostly from a single-platform approach, while looking at a snapshot moment in time. With rare exceptions (Niederer & Colombo, 2019;Pearce et al, 2020), this leaves both a gap of crossplatform research on how climate change is visually debated on different social media platforms, and a gap of temporal frameworks that study how the visual social media debate develops over time.…”

Section: Combining Visual Studies and Digital Methodsmentioning

confidence: 99%

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

Thorsen

Astrupgaard²

2021

Nordic Journal of Media Studies

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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.

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Visualizing the Paris Climate Talks on Twitter: Media and Climate Stakeholder Visual Social Media During COP21

Cited by 54 publications

References 41 publications

Exploring natural capital using bibliometrics and social media data

Exploring natural capital using bibliometrics and social media data

Covid-19 on Twitter: an analysis of risk communication with visuals

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

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