Algorithmic meta-capital: Bourdieusian analysis of social power through algorithms in media consumption

Lundahl, Outi

doi:10.1080/1369118x.2020.1864006

Cited by 5 publications

(4 citation statements)

References 54 publications

(100 reference statements)

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“…Therefore, in addition to intelligence, agentic capacity emerges as the core facet of AI. Integrating advanced AI technology, algorithms have evolved to gain agency by making highly sequential and contingent decisions involving users' social, political, and economic implications (e.g., Beer, 2017;Kitchin, 2017;Lundahl, 2020;Willson, 2017). One of the most common examples is that AI-powered algorithms have been taking up editorial roles in deciding what is important for users to view and to know (Gillespie, 2014), thus shaping their visions of the world (Lundahl, 2020).…”

Section: Algorithms Ai and Ai-based Algorithmsmentioning

confidence: 99%

“…Integrating advanced AI technology, algorithms have evolved to gain agency by making highly sequential and contingent decisions involving users' social, political, and economic implications (e.g., Beer, 2017;Kitchin, 2017;Lundahl, 2020;Willson, 2017). One of the most common examples is that AI-powered algorithms have been taking up editorial roles in deciding what is important for users to view and to know (Gillespie, 2014), thus shaping their visions of the world (Lundahl, 2020). AI has also been actively integrated into social media algorithms by the industry in hopes of increasing the total amount of time that users spend on those platforms (Golino, 2021).…”

Section: Algorithms Ai and Ai-based Algorithmsmentioning

confidence: 99%

“…Agency negotiation: being guided by machine agency or exerting user agency One possibility is that users choose to negotiate agency when interacting with AI, either by accepting AI's machine agency and letting it guide their experience, or by exerting control over it using customization or control features (Sundar, 2020). By providing tailored information and services that cater to individual users' preferences, AI-based algorithms guide individuals toward "particular dispositions, habits, and skills" (Lundahl, 2020;p. 9).…”

Section: Understanding Human-ai Interaction On Social Mediamentioning

confidence: 99%

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AI agency vs. human agency: understanding human–AI interactions on TikTok and their implications for user engagement

Kang

Lou

2022

Journal of Computer-Mediated Communication

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Artificial intelligence (AI) technology has vastly reshaped user experiences on social media. AI-powered social media use and its outcomes largely depend on how users collaborate with AI that exercises agency. Through in-depth interviews with TikTok users, this study investigates how users collaborate with AI when using AI-powered social media and how such dynamics shape user engagement. We found that TikTok users are receptive to personalized experiences enabled by machine agency. However, by influencing each other, user agency and machine agency also led to user–AI synergy. Users deliberately influence content curation algorithms to make them cater more precisely to their needs; AI also facilitates users’ content creation and networking. Such AI–user collaboration on TikTok significantly influences medium engagement and social-interactive engagement. These findings advance our understanding of the dynamics between human agency and machine agency and, thus, how AI transforms user experiences on social media.

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Section: Algorithms Ai and Ai-based Algorithmsmentioning

confidence: 99%

Section: Algorithms Ai and Ai-based Algorithmsmentioning

confidence: 99%

Section: Understanding Human-ai Interaction On Social Mediamentioning

confidence: 99%

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AI agency vs. human agency: understanding human–AI interactions on TikTok and their implications for user engagement

Kang

Lou

2022

Journal of Computer-Mediated Communication

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“…Не случайно отдельные авторы предупреждают о проблеме цифрового неравенства между группами населения [Володенков, 2019], «посттрансляционной демократии», когда большой выбор медиаконтента позволяет людям избегать политической информации . Есть мнение, что технологические трансформации приводят к эволюции и самой политической власти, продолжением которой становится алгоритмический метакапитал (algorithmic metacapital) -символическое расширение традиционной власти, позволяющее субъекту управления контролировать разные формы капитала и области жизни [Lundahl, 2022]. Такая символическая власть начинает проявляться через алгоритмы, которые влияют на представления о мире, привычки, склонности человека, развитие журналистики кликбейта.…”

Section: социотехническая реальность в ракурсе современных исследованийunclassified

Sociotechnical reality of the digital space of contemporary politics: structure and features

Володенков¹,

Fedorchenko²,

Artamonova³

2022

POLITEX

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The main purpose of the article was the analysis of experts' ideas about the digital space of modern politics. The authors put forward a hypothesis about the formation of an independent ontological space of modern digital politics, which has its own principles of functioning. The intensive introduction of digital technologies into the modern practice of socio-political management, the active development of the global digital infrastructure lead today to the formation of a new type of sociotechnical reality and an independent phygital space of politics within which virtualized constructs, values, meanings are formed and communication interaction is transformed. In the digital space of politics, there is an algorithmization of power, with the help of which political institutions actively borrow corporate techniques of predictive analytics, ranking, filtering information to study target audiences, manage the political agenda and correct public sentiment; new hybrid actors with serious power potential and the ability to form the design of modern politics for their own purposes and interests appear in current political practice. To confirm the working hypothesis, the authors conducted an international expert survey, which allowed to study the views of experts on the features of the digitalization of modern politics and the characteristics of the emerging sociotechnical reality. The results of the study confirm the hypothesis, however, experts assess the speed and trends of the formation of this new type of policy in different ways. Based on the results of theoretical and empirical research, the authors highlight the key trends in the formation of the modern socio-technical space of politics.

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Refreshing the affinity space concept: evolving understandings of learning via social media platforms in an algorithmic age

Oliveri,

Carpenter

2024

ILS

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Purpose The purpose of this conceptual paper is to describe how the affinity space concept has been used to frame learning via social media, and call for and discuss a refresh of the affinity space concept to accommodate changes in social media platforms and algorithms. Design/methodology/approach Guided by a sociocultural perspective, this paper reviews and discusses some ways the affinity space concept has been used to frame studies across various contexts, its benefits and disadvantages and how it has already evolved. It then calls for and describes a refresh of the affinity space concept. Findings Although conceptualized 20 years ago, the affinity space concept remains relevant to understanding social media use for learning. However, a refresh is needed to accommodate how platforms have changed, algorithms’ evolving role in social media participation and how these technologies influence users’ interactions and experiences. This paper offers three perspectives to expand the affinity space concept’s usefulness in an increasingly platformized and algorithmically mediated world. Practical implications This paper underscores the importance of algorithmic literacy for learners and educators, as well as regulations and guidance for social media platforms. Originality/value This conceptual paper revisits and updates a widely utilized conceptual framing with consideration for how social media platform design and algorithms impact interactions and shape user experiences.

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Algorithmic meta-capital: Bourdieusian analysis of social power through algorithms in media consumption

Cited by 5 publications

References 54 publications

AI agency vs. human agency: understanding human–AI interactions on TikTok and their implications for user engagement

AI agency vs. human agency: understanding human–AI interactions on TikTok and their implications for user engagement

Sociotechnical reality of the digital space of contemporary politics: structure and features

Refreshing the affinity space concept: evolving understandings of learning via social media platforms in an algorithmic age

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