Acting the Part

Arif, Ahmer; Stewart, Leo G; Starbird, Kate

doi:10.1145/3274289

Cited by 115 publications

(58 citation statements)

References 32 publications

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“…This paper pairs a quantitative approach to analyzing Twitter data (computer vision and network analysis) with a qualitative approach to examining Facebook Groups (digital ethnography). Drawing from social media scholarship that uses mixed-methods approaches to examine how users interact with one another [6,10,19,58,75], this paper engages with work critical of quantitative social media methods [9,103] by demonstrating how interpretive analyses of social media discussions and computational techniques can be mutually re-enforcing. In particular, we leverage quantitative studies of social media that use network analysis to understand political polarization [6], qualitative analysis of comments to identify changes in online dialogue over time [104], and visualization research that reverse-engineers and classifes chart images [88,104].…”

Section: Methodsmentioning

confidence: 99%

Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online

Lee

Yang

Inchoco

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

138

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Controversial understandings of the coronavirus pandemic have turned data visualizations into a battleground. Defying public health ofcials, coronavirus skeptics on US social media spent much of 2020 creating data visualizations showing that the government's pandemic response was excessive and that the crisis was over. This paper investigates how pandemic visualizations circulated on social media, and shows that people who mistrust the scientifc establishment often deploy the same rhetorics of data-driven decisionmaking used by experts, but to advocate for radical policy changes. Using a quantitative analysis of how visualizations spread on Twitter and an ethnographic approach to analyzing conversations about COVID data on Facebook, we document an epistemological gap that leads pro-and anti-mask groups to draw drastically diferent inferences from similar data. Ultimately, we argue that the deployment of COVID data visualizations refect a deeper sociopolitical rift regarding the place of science in public life. CCS CONCEPTS• Human-centered computing → Empirical studies in visu alization; Visualization theory, concepts and paradigms; So cial media; Ethnographic studies.

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Section: Methodsmentioning

confidence: 99%

Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online

Lee

Yang

Inchoco

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

138

View full text Add to dashboard Cite

show abstract

“…Hence, attempts by groups of agents to manipulate online narratives are threats to society that we should examined. Past work have described case studies that demonstrate these kind of coordinated agent action: the intervention of Russia's Internet Research agency during the #BlackLivesMatter movement [21] and the Venezuelan campaign in the 2016 US elections [22].…”

Section: Related Workmentioning

confidence: 99%

From Curious Hashtags to Polarized Effect: Profiling Coordinated Actions in Indonesian Twitter Discourse

Danaditya¹,

Ng²,

Carley³

2022

Preprint

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Coordinated campaigns in the digital realm have become an increasingly important area of study due to their potential to cause political polarization and threats to security through real-world protests and riots. In this paper, we introduce a methodology to profile two case studies of coordinated actions in Indonesian Twitter discourse. Combining network and narrative analysis techniques, this six-step pipeline begins with DISCOVERY of coordinated actions through hashtag-hijacking; identifying WHO are involved through the extraction of discovered agents; framing of what these actors did (DID WHAT) in terms of information manipulation maneuvers; TO WHOM these actions were targeted through correlation analysis; understanding WHY through narrative analysis and description of IMPACT through analysis of the observed conversation polarization. We describe two case studies, one international and one regional, in the Indonesian Twittersphere. Through these case studies, we unearth two seemingly related coordinated activities, discovered by deviating hashtags that do not fit the discourse, characterize the coordinated group profile and interaction, and describe the impact of their activity on the online conversation.

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“…87. Arif, Stewart, andStarbird 2018. Twitter accounts sought (sometimes ineptly) to promote positive narratives of the Chinese response to the COVID-19 pandemic and undermine trust in US efforts.…”

Section: Conversion and Drift In The Liiomentioning

confidence: 99%

The Janus Face of the Liberal International Information Order: When Global Institutions Are Self-Undermining

Farrell¹,

Newman²

2021

Int Org

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Scholars and policymakers long believed that norms of global information openness and private-sector governance helped to sustain and promote liberalism. These norms are being increasingly contested within liberal democracies. In this article, we argue that a key source of debate over the Liberal International Information Order (LIIO), a sub-order of the Liberal International Order (LIO), is generated internally by “self-undermining feedback effects,” that is, mechanisms through which institutional arrangements undermine their own political conditions of survival over time. Empirically, we demonstrate how global governance of the Internet, transnational disinformation campaigns, and domestic information governance interact to sow the seeds of this contention. In particular, illiberal states converted norms of openness into a vector of attack, unsettling political bargains in liberal states concerning the LIIO. More generally, we set out a broader research agenda to show how the international relations discipline might better understand institutional change as well as the informational aspects of the current crisis in the LIO.

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Acting the Part

Cited by 115 publications

References 32 publications

Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online

Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online

From Curious Hashtags to Polarized Effect: Profiling Coordinated Actions in Indonesian Twitter Discourse

The Janus Face of the Liberal International Information Order: When Global Institutions Are Self-Undermining

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