Private Platforms, Recommendation Algorithms and Agency: A Study of Tinkerers on YouTube

The internet and the algorithms designed by private technology companies have become an important sub-field of social science concerned with agency online. The purpose of this research is to examine contemporary online platforms and the predominance of their recommendation algorithms on users to better understand the techniques online users employ to enact agency. This research develops as a response to apprehension for agency in an online world driven by advertisement-based algorithms, as well as the social problems associated with the sentiment of lack of agency that emerges from these models. This research aims to examine two questions: First, do platform users have agency online when considering the functions of recommendation algorithms? Second, what role, if any, do recommendation algorithms play in that possible agency? Questions of agency necessarily raise in importance as communication and information sharing moves to online platforms that use algorithms to classify and effect human action. This research is pertinent because its goal is to create knowledge so that we may better understand and act online. The methodology is a combination of three stages of data collection; initial documentary research of available information provided to the public by Google and independent sources; documentary and case study research of data generated from YouTube and Google; a judgement sampling method to select YouTube users and a thematic analysis of their experiences. This method considers chosen users as expert informants in cases of controversy that help explain collective existence on the platform. The findings of this research support previous research critical of the manipulative nature of algorithms. This research also contributes to a nuanced view of agency online by finding that agency does occur within technology-literate collaborative groups of users. Conceptualizing content creators and recommendation algorithms as a network of actors within a social context better explains cases of agency experienced by users. The findings support that greater knowledge of technology allows individuals greater affordances of agency. The research proves that platform content creators are fertile informants for a study of platforms. The typology of content creators is an expansion of previous tinkerer research that supports the continued pertinence of a tech-knowledgeable user typology in sociology concerned with a lack of agency online

Matchmakers or tastemakers? Platformization of cultural intermediation & social media’s engines for ‘making up taste’

There are long-standing practices and processes that have traditionally mediated between the processes of production and consumption of cultural content. The prominent instances of these are: curating content by identifying and selecting cultural content in order to promote to a particular set of audiences; measuring audience behaviours to construct knowledge about their tastes; and guiding audiences through recommendations from cultural experts. These cultural intermediation processes are currently being transformed, and social media platforms play important roles in this transformation. However, their role is often attributed to the work of users and/or recommendation algorithms. Thus, the processes through which data about users’ taste are aggregated and made ready for algorithmic processing are largely neglected. This study takes this problematic as an important gap in our understanding of social media platforms’ role in the transformation of cultural intermediation. To address this gap, the notion of platformization is used as a theoretical lens to examine the role of users and algorithms as part of social media’s distinct data-based sociotechnical configuration, which is built on the so-called ‘platform-logic’. Based on a set of conceptual ideas and the findings derived through a single case study on a music discovery platform, this thesis developed a framework to explain ‘platformization of cultural intermediation’. This framework outlines how curation, guidance, and measurement processes are ‘plat-formed’ in the course of development and optimisation of a social media platform. This is the main contribution of the thesis. The study also contributes to the literature by developing the concept of social media’s engines for ‘making up taste’. This concept illuminates how social media operate as sociotechnical cultural intermediaries and participates in tastemaking in ways that acquire legitimacy from the long-standing trust in the objectivity of classification, quantification, and measurement processes

From BookTok to Bookshelf: Algorithms and Book Recommendations on TikTok

TikTok, a social media platform focused on short-form videos, is gaining a reputation for renewing interest in books (Bateman 2022; Harris 2021). While reviewing and recommending books is not new, the ability to do so on a large scale used to be limited to a select group of critics. Social media allows readers to voice their opinions, and by gaining followings these readers can then influence at a similar scale as traditional reviewers. This raises various questions as to how culture is created and curated. Today, this curation is done largely by algorithms through recommending and promoting content. The rise of BookTok emphasizes this, combining recommendations with TikTok’s algorithm to boost the popularity of certain books. In particular, BookTok has made headlines by repeatedly raising backlist books back onto the bestseller lists. This increases the shift from traditional curators of culture to a community of fellow readers, which can in turn popularize specific genres. Thus, the main question this thesis aims to answer is: what distinguishes BookTok from other digital platforms, enabling it to have such a cultural impact going beyond the online book community? The BookTok phenomenon will be explained by using a mixed-method approach looking at how creators use platform affordances, aesthetic features, and their algorithmic imaginaries to appeal to both users and the TikTok algorithm. The data used in this thesis consists of 148 BookTok videos gathered over a two-week period from the “For You” page. A content analysis was conducted to find patterns in the construction of the videos, the use of specific aesthetic features, and the selection of recommended book titles. Based on this data, it was possible to detect and describe different genres of BookTok videos and to identify the use of relevant platform affordances. This was complemented by a thematic analysis of interviews with three video creators, selected from the authors of the material in the dataset. The interviews gave insight into the algorithmic imaginary of the creators and how the construction of the algorithm informs the creative process. The analysis showed that while the algorithm is what makes the recommendations popular by distributing them to a receptive audience, the TikTok format is what makes the recommendations memorable and has a positive impact on book sales. As the algorithm informs every aspect of the book recommendations, from the creator’s decisions of picking a certain book to the decisions on when to make the video and who the algorithm subsequently recommends the video to, the book recommendations on BookTok can be examined as examples of algorithmic curation. By taking up the topic of literature and literary readership from a digital culture perspective, this thesis aims to contribute to the greater discussions on algorithms, personalization, and its’ effect on cultural production and curation.Master's Thesis in Digital CultureDIKULT350MAHF-DIKU

Human-Centered Technologies for Inclusive Collection and Analysis of Public-Generated Data

The meteoric rise in the popularity of public engagement platforms such as social media, customer review websites, and public input solicitation efforts strives for establishing an inclusive environment for the public to share their thoughts, ideas, opinions, and experiences. Many decisions made at a personal, local, or national scale are often fueled by data generated by the public. As such, inclusive collection, analysis, sensemaking, and utilization of pubic-generated data are crucial to support the exercise of successful decision-making processes. However, people often struggle to engage, participate, and share their opinions due to inaccessibility, the rigidity of traditional public engagement methods, and the lack of options to provide opinions while avoiding potential confrontations. Concurrently, data analysts and decision-makers grapple with the challenges of analyzing, sensemaking, and making informed decisions based on public-generated data, which includes high dimensionality, ambiguity present in human language, and a lack of tools and techniques catered to their needs. Novel technological interventions are therefore necessary to enable the public to share their input without barriers and allow decision-makers to capture, forage, peruse, and sublimate public-generated data into concrete and actionable insights. The goal of this dissertation is to demonstrate how human-centered approaches involve the stakeholders in the design, development, and evaluation of tools and techniques that can lead to inclusive, effective, and efficient approaches to public-generated data collection and analysis to support informed decision-making. To that end, in this dissertation, I first addressed the challenges of empowering the public to share their opinions by exploring two major opinion-sharing avenues --- social media and public consultation. To learn more about people\u27s social media experiences and challenges, I built two technology probes and conducted a qualitative exploratory study with 16 participants. This study is followed up by exploring the challenges of inclusive participation during public consultations such as town halls. Based on a formative study with 66 participants and 20 organizers, I designed and developed CommunityClick to enable reticent share their opinions silently and anonymously during town halls. Equipped with the knowledge and experiences from these works, I designed, developed, and evaluated technologies and methods to facilitate and accelerate informed data-driven decision-making based on increased public-generated data. Based on interviews with 14 analysts and decision-makers in the civic domain, I built a visual analytics system CommunityClick that can facilitate public input analysis by surfacing hidden insights, people\u27s reflections, and priorities. Leveraging the lessons learned during this work, I created a visual text analytics system that supports serendipitous discovery and balanced analysis of textual data to help make informed decisions. In this work, I contribute an understanding of how people collect and analyze public-generated data to fuel their decisions when they have increased exposure to alternative avenues for opinion-sharing. Through a series of human-centered studies, I highlight the challenges that inhibit inclusivity in opinion sharing and shortcomings of existing methods that prevent decision-makers to account for comprehensive public input that includes marginalized or unpopular opinions. To address these challenges, I designed, developed, and evaluated a collection of interactive systems including CommunityClick, CommunityPulse, and Serendyze. Through a rigorous set of evaluation strategies which include creativity sessions, controlled lab studies, in-the-wild deployment, and field experiments, I involved stakeholders to assess the effectiveness and utility of the built systems. Through the empirical evidence from these studies, I demonstrate how alternative designs for social media could enhance people\u27s social media experiences and enable them to make new connections with others to share opinions. In addition, I show how CommunityClick can be utilized to enable reticent attendees during public consultation to share their opinions while avoiding unwanted confrontation and allowing organizers to capture and account for silent feedback. I highlight how CommunityPulse allowed analysts and decision-makers to examine public input from multiple angles for an accelerated analysis and more informed decision-making. Furthermore, I demonstrate how supporting serendipitous discovery and balanced analysis using Serendyze can lead to more informed data-driven decision-making. I conclude the dissertation with a discussion on future avenues to expand this research including the facilitation of multi-user collaborative analysis, integration of multi-modal signals in the analysis of public-generated data, and potential adoption strategies for decision-support systems designed for inclusive collection and analysis of public-generated data

Mind over machine? The clash of agency in social media environments

Includes bibliographical references.2022 Fall.Underlying many social media platforms are choice recommendation "nudging" architectures designed to give users instant content and social recommendations to keep them engaged. Powered by complex algorithms, these architectures flush people's feeds and an array of other features with fresh content and create a highly individualized experience tailored to their interests. In a critical realist qualitative study, this research examines how individual agency manifests when users encounter these tools and the suggestions they provide. In interviews and focus groups, 45 participants offered their experiences where they reflected on how they perceived the engines, e.g., their Facebook feed, influenced their actions and behaviors, as well as how the participants felt they controlled it to achieve personal aims. Based on these and other experiences, this study posits the Social Cognitive Machine Agency Dynamic (SCMAD) model, which provides an empirically supported explanatory framework to explain how individual agency can manifest and progress in response to these tools. The model integrates Albert Bandura's social cognitive theory concepts and emergent findings. It demonstrates how users react to the engines through agentic expressions not dissimilar to the real-world, including enacting self-regulatory, self-reflective and intentionality processes, as well as other acts not captured by Bandura's theory. Ultimately, the research and model propose a psycho-environmental explanation of the swerves of agency experienced by users in reaction to the unique conditions and affordances of these algorithmically driven environments. The study is the first known extension of social cognitive theory to this technology context. Implications of the findings are discussed and recommendations for future research provided. The study recommends that future research and media discourse aim for an individual-level psychological evaluation of these powerful technologies. This stance will afford a greater understanding of the technology's impacts and implications on individuals, particularly as it is anticipated to significantly evolve in the coming years

Rethinking Change

UIDB/00417/2020 UIDP/00417/2020No seguimento da Conferência Internacional sobre Arte, Museus e Culturas Digitais (Abril 2021), este e-book pretende aprofundar a discussão sobre o conceito de mudança, geralmente associado à relação entre cultura e tecnologia. Através dos contributos de 32 autores, de 12 países, questiona-se não só a forma como o digital tem motivado novas práticas artísticas e curatoriais, mas também o inverso, observando como propostas críticas e criativas no campo da arte e dos museus têm aberto vias alternativas para o desenvolvimento tecnológico. Assumindo a diversidade de perspectivas sobre o tema, de leituras retrospectivas à análise de questões e projectos recentes, o livro estrutura-se em torno de sete capítulos e um ensaio visual, evidenciando os territórios de colaboração e cruzamento entre diferentes áreas de conhecimento científico. Disponível em acesso aberto, esta publicação resulta de um projecto colaborativo promovido pelo Instituto de História da Arte, Faculdade de Ciências Sociais e Humanas, Universidade NOVA de Lisboa e pelo maat – Museu de Arte, Arquitectura e Tecnologia. Instituição parceira: Instituto Superior Técnico. Mecenas: Fundação Millennium bcp. Media partner: revista Umbigo. Following the International Conference on Art, Museums and Digital Cultures (April 2021), this e-book seeks to extend the discussion on the concept of change that is usually associated with the relationship between culture and technology. Through the contributions of 32 authors from 12 countries, the book not only questions how digital media have inspired new artistic and curatorial practices, but also how, conversely, critical and creative proposals in the fields of art and museums have opened up alternative paths to technological development. Acknowledging the different approaches to the topic, ranging from retrospective readings to the analysis of recent issues and projects, the book is divided into seven sections and a visual essay, highlighting collaborative territories and the crossovers between different areas of scientific knowledge. Available in open access, this publication is the result of a collaborative project promoted by the Institute of Art History of the School of Social Sciences and Humanities, NOVA University of Lisbon and maat – Museum of Art, Architecture and Technology. Partner institution: Instituto Superior Técnico. Sponsor: Millennium bcp Foundation. Media partner: Umbigo magazine.publishersversionpublishe

Rise of the curator: archiving the self in contemporary American fiction

Concurrent with a bloom of interest in the archive within academic discourse, an intense cultural fascination with museums, archives, and memorials to the past has flourished within the United States. The ascendency of digital technologies has contributed to and magnified this “turn” by popularising and habituating the archive as a personal memory tool, a key mechanism through which the self is negotiated and fashioned. This dissertation identifies a sustained exploration of the personal archive and its place in contemporary life by American novelists in the twenty-first century. Drawing on theories of the archive and the collection, this dissertation analyses the parameters of the curated self through close-readings of recent novels by five US authors. The first two chapters read Paul Auster’s Sunset Park through trauma theory and Siri Hustvedt’s What I Loved through psychoanalysis, noting that in each the system of archiving generates moments of catharsis. The two chapters argue that, for the subject shattered by trauma, archiving activates and fulfils psychoanalytic processes that facilitate the self’s reintegration and prompts a discursive revelation about the painful past. The texts, thus, discover in the archive strategies for achieving, however provisionally, a kind of stability amongst unexpected change. The next two chapters reveal the complicity of archival formations with threats posed in the digital age and articulate alternative forms of self-curation that counteract these pernicious forces. To ward off information overload, E.L. Doctorow’s Homer and Langley advocates the ethical flexibility of “blind” narration that, wending through time, accommodates a broad range of perspectives by refusing to fantasise about its own ultimate and total claim to accuracy. Jennifer Egan’s A Visit from the Goon Squad, meanwhile, diagnoses the cultural anxiety over increasingly invasive surveillance measures. While the novel situates the digital archive, or database, at the heart of this new dataveillance, it recommends investing the self in material collections, where personal meaning is rendered in the inscrutable patois of objects that disintegrate over time. For Egan, the material archive thereby skirts the assumed readability and fixity of data on which this surveillance thrives. The conclusion analyses Dana Spiotta’s Stone Arabia, observing within it and the other novels a consistent concern with archival destruction, erosion, and stagnation. Together, the texts suggest that the personal archive is persistently stalked by disintegration and failure. Yet, within this contemporary moment in which curation has become a widespread means of self-fashioning, they also show how these hazards can be creatively circumvented or actively courted, can threaten the subject or be harnessed by it