Configuring Fakes: Digitized Bodies, the Politics of Evidence, and Agency

Paris, Britt

doi:10.1177/20563051211062919

Cited by 3 publications

(5 citation statements)

References 40 publications

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“…In the case of Deep Nostalgia, there are clearly different motivations for using the technology – from MyHeritage’s marketing and extractivism to users’ mnemonic purposes and connection. It is critically important then that we ‘consider the attendant ethical and policy questions’ that our uses of such techniques raise (Paris, 2021:1, see also Hepp et al, 2022), and in the case of Deep Nostalgia, that we do so in relation to social networks also.…”

Section: Remembering the Dead In An Algorithmic Presentmentioning

confidence: 99%

Deep Nostalgia: Remediated memory, algorithmic nostalgia and technological ambivalence

Kidd

McAvoy

2023

Convergence: The International Journal of Research into New Med

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Digital recreations of the past, and of the deceased, are part of the Internet’s present. They circulate within social networks where logics of connection and connectivity underpin increasingly performative memory work. In this article we explore these developments through a case study of the MyHeritage deep learning feature, Deep Nostalgia. Our analysis is informed by a close critical study of Deep Nostalgia creations, and discourses circulating around them, shared on Twitter during the two-week period following its launch, February 2021 (n.6935). We examine how memory is evoked, framed, re-worked and distorted through algorithmic processes, and within social networks in particular, and explore what this tells us about peoples' need to connect with their pasts. First, we analyse how the shift from photo to video ‘revives’ the dead via a process that we have termed ‘remediated memory’. Second, we explore the affective dimensions and resonances of Deep Nostalgia creations. In doing so, we introduce the concept of ‘algorithmic nostalgia’ to describe the ways nostalgia is generated, organised and exploited through Deep Nostalgia’s automated and recursive algorithmic mechanisms. Third, we interrogate the ways social media logics shape the use and influence of these outputs. Our study’s scholarly contribution is at the intersection of memory, automation, and algorithms. We highlight the importance of studying the ambivalence of emerging media at their nexus with memory studies and, critically, of attending to the ways corporate interests increasingly shape – and assimilate – these activities.

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Section: Remembering the Dead In An Algorithmic Presentmentioning

confidence: 99%

Deep Nostalgia: Remediated memory, algorithmic nostalgia and technological ambivalence

Kidd

McAvoy

2023

Convergence: The International Journal of Research into New Med

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“…A famous example is a decelerated clip of US politician Nancy Pelosi. It was shared on Donald Trump’s Twitter account with the aim to make her appear drunkenly slurring her speech (Paris and Donovan, 2019).…”

Section: Defining and Categorising Visual Disinformationmentioning

confidence: 99%

“…Deepfakes operate on a high level of technological sophistication (see Table 1), as they make use of artificial intelligence to fake someone’s entire audio-visual representation. If both video footage and someone’s voice are artificially generated, Paris and Donovan (2019) speak of a virtual performance , which can be classified as the richest form of visual disinformation (Sundar, 2008). However, there are also examples of deepfake photographs generated with face-swap apps (e.g.…”

Section: Defining and Categorising Visual Disinformationmentioning

confidence: 99%

“…We suggest that text and visuals differ in production, processing and effects : Visuals come in a variety of forms and shapes (Kasra et al, 2018; Thomson et al, 2022), which require certain technological skills depending on their level of sophistication (Kietzmann et al, 2020; Paris and Donovan, 2019). These skills may only be employable by certain actors, which has implications for visual disinformation’s origin and prevalence.…”

Section: Introductionmentioning

confidence: 99%

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Visual disinformation in a digital age: A literature synthesis and research agenda

Weikmann

Lecheler

2022

New Media & Society

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While a fast-growing body of research is concerned with the detrimental consequences of disinformation for democracy, the role of visuals in this context has so far only been discussed superficially. Visuals are expected to amplify the impact of disinformation, but it is rarely specified how, and what exactly distinguishes them from text. This article is one of the first to treat visual disinformation as its own type of falsehood, arguing that it differs from textual disinformation in its production, processing and effects. We suggest that visual disinformation is determined by varying levels of modal richness and manipulative sophistication. Because manipulated visuals are processed differently on a psychological level, they have unique effects on citizens’ behaviours and attitudes.

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“…False and misleading information and those spreading it are posed as adversaries to be punished or defeated, implicit with the unstated assumption it is a desirable and necessary return to “civil society” where informational expertise and gatekeeping are unquestioned (Bratich, 2020). This drive towards the “war of restoration” obfuscates that mis‐and disinformation has been present in propaganda and modes of manufacturing consent for centuries, and that everyone's interests have never been appropriately reflected in “civil society” (Bratich, 2020; Paris, 2021).…”

Section: Introductionmentioning

confidence: 99%

Cultivating Ecological Literacy: A Critical Framework for Understanding and Addressing Mis‐ and Disinformation

Paris

Marcello²,

Reynolds

2022

Proceedings of the Association for Information Science and Tech

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This conceptual paper highlights limitations within existing approaches to mis and disinformation and offers a cross disciplinary approach that draws from social shaping of technology and critical informatics to explain and understand these complex informational phenomena. Different scholarly perspectives from policy, technical, and information literacy spheres, often narrowly focus on information practices of actors or components of the technical systems and policy frameworks undergirding these systems often their “locus of change”, or concept of the problem and solutions, do not acknowledge the interconnected complexities inherent to mis and disinformation. Our proposed conceptual intervention can be useful to the information science and technology research and teaching community as it offers opportunities to cultivate a complex form of what Milner and Phillips describe as “ecological literacy” to holistically understand the mis‐ and disinformation problem domain as an interconnected set of sociotechnical systems.

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Configuring Fakes: Digitized Bodies, the Politics of Evidence, and Agency

Cited by 3 publications

References 40 publications

Deep Nostalgia: Remediated memory, algorithmic nostalgia and technological ambivalence

Deep Nostalgia: Remediated memory, algorithmic nostalgia and technological ambivalence

Visual disinformation in a digital age: A literature synthesis and research agenda

Cultivating Ecological Literacy: A Critical Framework for Understanding and Addressing Mis‐ and Disinformation

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