Visual Methodologies for Networked Images: Designing Visualizations for Collaborative Research, Cross-platform Analysis, and Public Participation

Niederer, Sabine; Colombo, Gabriele

doi:10.7764/disena.14.40-67

Cited by 31 publications

(35 citation statements)

References 10 publications

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“…Previous scholarly responses to algorithmic bias have resulted in strategies for performing algorithm audits (Sandvig et al, 2014), ways to supplement computational tests with sociologically grounded performance testing (Bechmann, 2017), and calls for breaking with the persistent notion of the 'black box' when referring to search engines and algorithms in general (Bucher, 2018;Rieder, 2005). Researchers have presented digital research strategies, tools and methods for working with search engine results and platform content for social and cultural research (Helmond, 2015;Marres and Weltevrede, 2013;Niederer, 2019;Rogers, 2013Rogers, , 2019, and the analysis of digital visual content in particular (Gibbs et al, 2015;Highfield and Leaver, 2016;Niederer and Colombo, 2019;Pearce et al, 2020;Tiidenberg and Baym, 2017).…”

Section: Algorithms and Bias In Norm-referencing Materialsmentioning

confidence: 99%

Confronting bias in the online representation of pregnancy

Bogers

Niederer

Bardelli

et al. 2020

Convergence: The International Journal of Research into New Med

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This article interrogates platform-specific bias in the contemporary algorithmic media landscape through a comparative study of the representation of pregnancy on the Web and social media. Online visual materials such as social media content related to pregnancy are not void of bias, nor are they very diverse. The case study is a cross-platform analysis of social media imagery for the topic of pregnancy, through which distinct visual platform vernaculars emerge. The authors describe two visualization methods that can support comparative analysis of such visual vernaculars: the image grid and the composite image. While platform-specific perspectives range from lists of pregnancy tips on Pinterest to pregnancy information and social support systems on Twitter, and pregnancy humour on Reddit, each of the platforms presents a predominantly White, able-bodied and heteronormative perspective on pregnancy.

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Section: Algorithms and Bias In Norm-referencing Materialsmentioning

confidence: 99%

Confronting bias in the online representation of pregnancy

Bogers

Niederer

Bardelli

et al. 2020

Convergence: The International Journal of Research into New Med

Self Cite

View full text Add to dashboard Cite

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“…In this step, we identified recurring and connected visual content and type of visualisations posted by the actors of various stances in different countries. For this, we used the results from step 1 and 2, and in addition conducted a visual analysis to mapped the related images (Niederer & Colombo, 2019). The images were run through ClarifAI API (Sood, 2017), a computer vision algorithm that recognises tags (concepts, entities, or objects) in the content.…”

Section: Methodsmentioning

confidence: 99%

Mapping online visuals of shale gas controversy: a digital methods approach

Rabello

Gommeh

Benedetti

et al. 2021

Information, Communication & Society

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The internet is an increasingly influential actor and arena for debating emerging sustainability controversies, but studies often overlook the role of visualisations in online spreading of information. This paper offers a way to better understand this role: what images do competing online actors use, are there differences between opponents and proponents, differences between internet regions, and are there shifts in their online visualisations over time? Adopting a controversy studies perspective and the digital methods approach, we studied the online spread of visual information. We compared the use of visualisation about shale gas on top-ranked pages in the internet regions of South Africa, Mexico and the United Kingdom in 2018 and 2019. The results indicate a connection between the actor's standpoints in the controversy and the type of image used. In Mexico, proponents and neutrals used, most of all, photographs of people (officials). Opponents posted more data visuals. South African and British neutral actors used more data visuals, while proponents posted landscapes and opponents photographs of people (protesters). Also, we noticed that changes in the actor's position in the controversy between 2018 and 2019 coincided with changes in the use of type and content of visualisations. Context-specifics of each country offered possible explanations for these shifts in standpoint and visualisation of the controversy. Our study indicates that visuals are highly relevant digital objects in public debate and the decision-making process.

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“…There is an additional application, exemplified in work performed on the use of the climate-related hashtag, #parisagreement, before and after U.S. President Trump's announcement in June 2017 that the U.S. would withdraw from it (see Figure 7). Here, the software allows one to compare the quantities of images, and thus activity, one month before and after in a form of 'direct visualisation' of all the images (compared to translating the images to data points and visualising as a data representation, as in Figure 2) (Manovich, 2011b;Niederer and Colombo, 2019). It allows for both a distant reading (Moretti, 2013) in the quantity comparison as well as a close reading as one can zoom in and take note of the dominance of 'Make Our Planet Great Again', the placard-like image (and cut-out hashtag) that launched the campaign by French President, Emmanuel Macron, on 1 June 2017, in reaction to the Trump announcement.…”

Section: The Dominant Imagementioning

confidence: 99%

Visual media analysis for Instagram and other online platforms

Rogers

2021

Big Data & Society

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Instagram is currently the social media platform most associated with online images (and their analysis), but images from other platforms also can be collected and grouped, arrayed by similarity, stacked, matched, stained, labelled, depicted as network, placed side by side and otherwise analytically displayed. In the following, the initial focus is on Instagram, together with certain schools of thought such as Instagramism and Instagrammatics for its aesthetic and visual cultural study. Building on those two approaches, it subsequently focuses on other web and social media platforms, such as Google Image Search, Twitter, Facebook and 4chan. It provides demonstrations of how querying techniques create online image collections, and how these sets are analytically grouped through arrangements collectively referred to as metapictures.

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Visual Methodologies for Networked Images: Designing Visualizations for Collaborative Research, Cross-platform Analysis, and Public Participation

Abstract: sciences fAcUlty of digitAl mediA And creAtive indUstries visUAl methodologies collective AmsterdAm,

Cited by 31 publications

References 10 publications

Confronting bias in the online representation of pregnancy

Confronting bias in the online representation of pregnancy

Mapping online visuals of shale gas controversy: a digital methods approach

Visual media analysis for Instagram and other online platforms

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