“Spotify, Música Digital y su Impacto en los Gustos Musicales” nace de la curiosidad que gira en torno a la música y sus diferentes formatos, con el objetivo de exponer que la profundización de literatura académica sobre Spotify y la música digital está dando sus primeros pasos, basado en la pregunta “¿Qué tan estudiada se encuentra la literatura académica en torno a la convergencia de la música digital y el impacto de Spotify en la actualidad?”, bajo el (...) modelo metodológico de una revisión integrativa y el análisis de la muestra bajo el criterio de la relación entre sus conceptos principales. (shrink)

Much scholarly attention has recently been devoted to ways in which artificial intelligence (AI) might weaken formal political democracy, but little attention has been devoted to the effect of AI on “cultural democracy”—that is, democratic control over the forms of life, aesthetic values, and conceptions of the good that circulate in a society. This work is the first to consider in detail the dangers that AI-driven cultural recommendations pose to cultural democracy. This Article argues that AI threatens to weaken cultural (...) democracy by undermining individuals’ direct and spontaneous engagement with a diverse range of cultural materials. It further contends that United States law, in its present form, is ill equipped to address these challenges, and suggests several strategies for better regulating culture-mediating AI. Finally, it argues that while such regulations might run afoul of contemporary First Amendment doctrine, the most normatively attractive interpretation of the First Amendment not only allows but encourages such interventions. (shrink)

This paper examines folk theories of algorithmic recommendations on Spotify in order to make visible the cultural specificities of data assemblages in the global South. The study was conducted in Costa Rica and draws on triangulated data from 30 interviews, 4 focus groups with 22 users, and the study of “rich pictures” made by individuals to graphically represent their understanding of algorithmic recommendations. We found two main folk theories: one that personifies Spotify and another one that envisions it (...) as a system full of resources. Whereas the first theory emphasizes local conceptions of social relations to make sense of algorithms, the second one stresses the role of algorithms in providing a global experience of music and technology. We analyze why people espouse either one of these theories and how these theories provide users with resources to enact different modalities of power and resistance in relation to recommendation algorithms. We argue that folk theories thus offer a productive way to broaden understanding of what agency means in relation to algorithms. (shrink)

The role of software architecture in large-scale Agile development is important because several teams need to work together to release a single software product while helping to maximise teams’ autonomy. Governing and aligning Agile architecture across autonomous squads, when using the Spotify model, is a challenge because the Spotify model lacks practices for addressing Agile architecture governance. To explore how software architecture can be governed and aligned by scaling the Spotify model, we conducted a longitudinal embedded case (...) study in a multinational FinTech organisation. Then, we developed and evaluated an approach for architectural governance by conducting an embedded case study. The collected data was analysed using Thematic Analysis and informed by selected Grounded Theory techniques such as memoing, open coding, constant comparison, and sorting. Our approach for architectural governance comprises an organisational structure change and an architecture change management process. The benefits reported by the practitioners include devolving architectural decision-making to the operational level, enhancing architectural knowledge sharing among squads, minimising wasted effort in architectural refactoring, and other benefits. The practitioners in our case study realised an improved squad autonomy by the ability to govern and align architectural decisions. We provide two key contributions in this paper. First, we present the characteristics of our proposed architectural governance approach, its evaluation, benefits, and challenges. Second, we present how the novel Heterogeneous Tailoring model was enhanced to accommodate our architectural governance approach. (shrink)

How do hip-hop songs produced from 2017 to 2023 depict and rationalize online fraud? This study examines the depiction of online fraudsters in thirty-three Nigerian hip-hop songs on nine popular streaming platforms such as Spotify, Deezer, iTunes, SoundCloud, Apple Music, and YouTube. Using a directed approach to qualitative content analysis, we coded lyrics based on the moral disengagement mechanism and core themes derived from existing literature. Our findings shed light on how songs (a) justify the fraudulent actions of online (...) fraudsters, (b) blame and dehumanize victims of online romance fraud, (c) glamorize online fraud, and (d) provide insights into prevailing attitudes, indigenous linguistics, and worldviews regarding cybercrime victimization. Specifically, our analysis shows the presence of moral disengagement mechanisms, including "dehumanization," “minimizing own agency,” and "displacement of responsibility." Moreover, we identify core contextual themes pertinent to online fraud in the Nigerian context: (a) "cyber spiritualism" and (b) "the North-South divide." This research underscores the global influence of musicians whose songs are easily accessible on diverse music platforms in trivializing the plight of online fraud victims. We argue that these artists' persuasive messages not only downplay but also satirize the victims' predicaments, thus contributing to the cultural worldviews and dimensions of online fraud. We conclude by underscoring these songs' capacity to actualize, reshape, and actively engage with the narratives of glamorization, justification, spiritualism, colonial legacies, gender dynamics, and societal implications. We recommend that future research endeavors explore non-conventional data sources adept at capturing the intricate fabric of cultural attitudes and dynamics. (shrink)

In Homo Deus, Yuval Noah Harari argues that technological advances of the twenty-first century will usher in a significant shift in how humans make important life decisions. Instead of turning to the Bible or the Quran, to the heart or to our therapists, parents, and mentors, people will turn to Big Data recommendation algorithms to make these choices for them. Much as we rely on Spotify to recommend music to us, we will soon rely on algorithms to decide our (...) careers, spouses, and commitments. Harari also predicts that next, the state will take away individuals’ rights to make their own choices about their lives. If Google knows where your children would flourish best in school, why should the state allow a fallible human parent to decide? Liberalism—which, as Harari uses this term, refers to a state of society in which human freedom to choose is respected and championed—will collapse. In this paper, I argue that Harari’s conception of the future implications of recommendation algorithms is deeply flawed, for two reasons. First, users will not rely on algorithms to make decisions for them because they have no reason to trust algorithms, which are developed by companies with their own incentives, such as profit. Second, for most of our life decisions, algorithms will not be able to be developed, because the factors relevant to the decisions we face are unique to our situation. I present an alternative depiction of the future: instead of relying on algorithms to make decisions for us, humans will use algorithms to enhance our decision-making by helping us consider the most relevant choices first and notice information we might not otherwise. Finally, I will also argue that even if computers could make many of our decisions for us, liberalism as a political system would emerge unscathed. (shrink)

Este artigo reflete sobre a desmaterialização de um tipo documental e seus arranjos no contexto digital, observando que a desmaterialização do álbum sonoro é marcada por um fenômeno nomeado de vácuo informacional no contexto do serviço de música digital Spotify. A desmaterialização de tipos documentais mostra-se uma realidade consolidada em tempos de informação digital. Com as inovações tecnológicas, mudanças culturais, comportamentais e todo um arcabouço conceitual e epistémico atrelado a essas inovações floresce e se desenvolve num curto espaço de (...) tempo. Revisita a noção de documento e neodocumentação, adotando-se a premissa Neodocumentalista a respeito do valor contextual que a materialidade do documento oferece. A pesquisa caracteriza-se como exploratória, bibliográfica, documental e telematizada e utiliza como corpus de pesquisa 112 álbuns sonoros da extinta gravadora pernambucana Rozenblit. Constata-se que a desmaterialização dos álbuns sonoros tem como característica principal o comprometimento da natureza ontológica do documento, da marca distintiva deste enquanto documento: a sua natureza informativa. (shrink)

The term “listening niche” refers to the contexts in which people listen to music including what music they are listening to, with whom, when, where, and with what media. The first experiment investigates undergraduate students’ music listening niches in the initial COVID-19 lockdown period, 4 weeks immediately after the campus shut down abruptly. The second experiment explores how returning to a hybrid semester, the “new normal,” further affected these listening habits. In both experiments, the participants provided a list of their (...) most frequently listened-to songs during the respective period of time. From these, they identified one song that seemed most associated with this period, their “signature song,” and stated why this song seemed relevant. These reasons were coded on nine underlying themes. Three clusters were found to underlie the themes: emotional responses memory associations, and discovery of new music. We identified songs and reasons for selecting them that represented the three clusters and related these to the lyrical content. Compared to before the pandemic, participants in both experiments report listening more in general and on Spotify, but there were no differences in listening between lockdown and the new normal. Whom they were listening with shifted overtime from family members to significant others and finally to other friends and roommates. These results demonstrate how students listen to and find new music that is meaningful to them during this unprecedented pandemic. (shrink)

Technologie is (bijna) zo oud als de mens en bepaalt al eeuwenlang mee ons bestaan. Met de komst van intelligente machines raakt die wisselwerking tussen mens en machine in een stroomversnelling. Drones, algoritmes van Spotify en zelfrijdende wagens zijn vandaag zo alomtegenwoordig dat ze vragen oproepen over de menselijke natuur, en hoezeer wij worden bepaald en bedreigd door technologie. Zijn robots waardegeladen of waardevrij? Waarin verschilt Mark Zuckerberg van Martin Heidegger? En is het effectief zo dat technologie onze samenleving (...) aanstuurt, of is het de mens die de richting bepaalt? In een glasheldere stijl ontrafelt Lode Lauwaert al deze vragen. Het resultaat is een frisse en kritische blik op de thema's van deze tijd."--Publisher information. (shrink)

From providing on-demand access to vast catalogues of recorded music at little or no cost to the use of Big Data to personalise the experience of consuming music, music streaming platforms, such as Spotify and Apple Music, have the potential to disrupt the part that music taste plays in the performance of class identities and the reproduction of class privilege in ways not previously encountered. The influential sociologist, Pierre Bourdieu, demonstrated that cultural taste – what and how people consume (...) cultural goods, such as music, food and fashion – is shaped by class background and in doing so serves to mark and reproduce class differences in everyday life. In this commentary, I consider how sociologists might address the important but challenging question of if and how are music streaming platforms shaping the part that music taste plays in the performance of class identities and the cultural reproduction of class privilege. I discuss some ways in which music streaming platforms may be shaping how class identities are performed through how people consume music, drawing attention to consumption practices that have the potential to both involve and resist the use of music streaming platforms in the pursuit of social distinction. (shrink)

From the best-selling author of Traffic, a brilliant and entertaining exploration of our personal tastes--why we like the things we like, and what it says about us. Everyone knows his or her favorite color, the foods we most enjoy, and which season of House of Cards deserves the most stars on Netflix. But what does it really mean when we like something? How do we decide what's good? Is it something biological? What is the role of our personal experiences in (...) shaping our tastes? And how do businesses make use of this information? Comprehensively researched and singularly insightful, You May Also Like delves deep into psychology, marketing, and neuroscience to answer these complex and fascinating questions. From the tangled underpinnings of our food choices, to the dynamics of the pop charts and our playlists, to our nonstop procession of "thumbs" and "likes" and "stars," to our insecurity before unfamiliar works of art, the book explores how we form our preferences--and how they shape us. It explains how difficult it is, even for experts, to pinpoint exactly what makes something good or enjoyable, and how the success of companies such as Netflix, Spotify, and Yelp depends on the complicated task of predicting what we will enjoy. Like Traffic, this book takes us on a fascinating and consistently surprising intellectual journey that helps us better understand how we perceive and appreciate the world around us. (shrink)

For the people who make them, music recommender systems hold a utopian promise: they can broaden listeners' horizons and help obscure musicians find audiences, taking advantage of the enormous catalogs offered by companies like Spotify, Apple Music, and their kin. But for critics, recommender systems have come to epitomize the potential harms of algorithms: they seem to reduce expressive culture to numbers, they normalize ever-broadening data collection, and they profile their users for commercial ends, tearing the social fabric into (...) isolated patches of atomized individuals. Drawing on years of ethnographic fieldwork, anthropologist Nick Seaver offers an account of how the makers of music recommendation navigate these tensions: how product managers understand their relationship with the users they want to help and to capture, how engineers imagine the abstract geography of the "world of music" as a space they control and care for, how scientists conceive of listening itself as a kind of data processing. The book rehumanizes the algorithmic systems that shape our world, foregrounding the ideas animating the people who build and maintain them. Seaver braids together the thinking of programmers and anthropologists, opening up the cultural world of computation in a vividly theorized book that ranges widely from cosmology to calculation, metaphor to myth, and captivation to care. (shrink)