Editors’ Introduction: Visual Politics, Grand Collaborative Programs, and the Opportunity to Think Big

Bucy, Erik P.; Joo, Jungseock

doi:10.1177/1940161220970361

Cited by 17 publications

(12 citation statements)

References 32 publications

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“…These two themes especially skyrocketed during the global strike movements, pandemic lockdowns, and the US election. Similar bursts are documented by studies of the climate strike in Germany (Haßler et al 2021) and on TikTok (Hautea et al 2021). Likewise, we see a rise in “policy discussions” in the periods where there are offline protest events.…”

Section: Discussionsupporting

confidence: 78%

“…These computational methods are especially helpful as many social movements cross borders and platforms, and thus generate enormous discourse data. Computational communication is a rising area in communication where a growing number of scholars have applied and designed computational tools, from text analysis to computer vision (Bucy and Joo 2021).…”

Section: Harnessing Computational Methods For Analyzing Large-scale C...mentioning

confidence: 99%

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How Climate Movement Actors and News Media Frame Climate Change and Strike: Evidence from Analyzing Twitter and News Media Discourse from 2018 to 2021

Chen

Molder

Duan

et al. 2022

The International Journal of Press/Politics

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Twitter enables an online public sphere for social movement actors, news organizations, and others to frame climate change and the climate movement. In this paper, we analyze five million English tweets posted from 2018 to 2021 demonstrating how peaks in Twitter activity relate to key events and how the framing of the climate strike discourse has evolved over the past three years. We also collected over 30,000 news articles from major news sources in English-speaking countries (Australia, Canada, United States, United Kingdom) to demonstrate how climate movement actors and media differ in their framing of this issue, attention to policy solutions, attribution of blame, and efforts to mobilize citizens to act on this issue. News outlets tend to report on global politicians’ (in)action toward climate policy, the consequences of climate change, and industry's response to the climate crisis. Differently, climate movement actors on Twitter advocate for political actions and policy changes as well as addressing the social justice issues surrounding climate change. We also revealed that conversations around the climate movement on Twitter are highly politicized, with a substantial number of tweets targeting politicians, partisans, and country actors. These findings contribute to our understanding of how people use social media to frame political issues and collective action, in comparison to the traditional mainstream news outlets.

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Section: Discussionsupporting

confidence: 78%

Section: Harnessing Computational Methods For Analyzing Large-scale C...mentioning

confidence: 99%

How Climate Movement Actors and News Media Frame Climate Change and Strike: Evidence from Analyzing Twitter and News Media Discourse from 2018 to 2021

Chen

Molder

Duan

et al. 2022

The International Journal of Press/Politics

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show abstract

“…As political communication research undergoes a 'visual turn' (see Authors, 2019;Bucy and Joo, 2021), increased attention has been paid to the resonant power of images to evoke strong emotions (e.g. Coleman and Wu, 2015), to act as a source of political information that are processed quickly (e.g Graber, 1996), and to shape attitudes and behaviours (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…It is therefore of growing importance to understand how populist politicians are using the visual affordances of social media, and whether a distinct populist visual communication style exists. This becomes more urgent when we consider that, so far, studies on populist communication have largely focused on textual elements which yield only ‘an incomplete picture of what populism is’ (Bucy and Joo, 2021, p. 11). While an emergent body of work examines populist visual communication practices (e.g.…”

Section: Introductionmentioning

confidence: 99%

Strikingly similar: Comparing visual political communication of populist and non-populist parties across 28 countries

Farkas

Jackson

Baranowski

et al. 2022

European Journal of Communication

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Along with the recent boom in support of populist movements in Europe, social media seems to be the ideal place for their interaction with the public. While Facebook has been thoroughly explored for populist campaigning, there is still scarce research on visual aspects of their communication. Analysing the 2019 European Parliament campaign, this study seeks to determine the distinct characteristics of a populist visual communication style and its differences in relation to the non-populist parties. Applying quantitative content analysis to the images ( N = 997) posted on Facebook by political parties from 28 countries enabled us to show that there is a predominance of similarities in both communication styles. Although populists demonstrated a higher propensity to depict their leader and use national symbols, these were exceptions to the overwhelming evidence of uniformity in campaigning methods. Hence, we argue that despite evidence of textual visibility, populist communication does not explicitly manifest through images.

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“…Now, advances in deep learning and image classification open a potential path to large-scale analysis on the basis of actual visual content. In the study of visual politics, promising work is starting to develop this potential in a variety of directions [9,24,51]: to study nonverbal cues in political persuasion [23,38]; political ideology and bias in media [37]; protest events and mobilisation [11,52,54]; and the spread of (dis)information [53].…”

Section: Introductionmentioning

confidence: 99%

On the conditions for integrating deep learning into the study of visual politics

Magnani

Segerberg

2021

13th ACM Web Science Conference 2021

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Traditional methods to study visual politics have been limited in geographical, media and temporal coverage. Recent advances in deep learning have the potential to dramatically extend the scope of the field especially with respect to making sense of the contemporary social and political developments in digital media. While some early adopters may be tempted to take the new computational tools at face value, others see their black-box character as cause for concern. This paper argues that the integration of deep learning into the study of visual politics must be approached still more critically and boldly. On the one hand, the complexity of visual political themes requires a more substantial human involvement if compared with other applications of deep neural networks. Therefore, a question is how the scientist and the network should best interact. On the other hand, it is important to acknowledge that a deep learning tool will never simply replace specific tasks inside a research process: its adoption has implications for the broader process from the delineation of the object of analysis, to data collection, to the interpretation and communication of results. We examine the conditions of integrating a deep learning tool for image classification into the large-scale study of visual politics in digital and social media along these two dimensions.

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Editors’ Introduction: Visual Politics, Grand Collaborative Programs, and the Opportunity to Think Big

Cited by 17 publications

References 32 publications

How Climate Movement Actors and News Media Frame Climate Change and Strike: Evidence from Analyzing Twitter and News Media Discourse from 2018 to 2021

How Climate Movement Actors and News Media Frame Climate Change and Strike: Evidence from Analyzing Twitter and News Media Discourse from 2018 to 2021

Strikingly similar: Comparing visual political communication of populist and non-populist parties across 28 countries

On the conditions for integrating deep learning into the study of visual politics

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