Frontiers: Virus Shook the Streaming Star: Estimating the COVID-19 Impact on Music Consumption

2021 ◽  
Author(s):  
Jaeung Sim ◽  
Daegon Cho ◽  
Youngdeok Hwang ◽  
Rahul Telang
Keyword(s):  
Music Consumption ◽  
Music Streaming

How has the COVID-19 pandemic affected the consumption of audio music streaming?

scholarly journals User models for multi-context-aware music recommendation

2020 ◽  
Author(s):  
Martin Pichl ◽  
Eva Zangerle
Keyword(s):  
Recommender Systems ◽  
User Model ◽  
Context Aware ◽  
Music Recommendation ◽  
Music Consumption ◽  
Current Context ◽  
Music Recommender Systems ◽  
Context Features ◽  
Content Information ◽  
Music Streaming

Abstract In the last decade, music consumption has changed dramatically as humans have increasingly started to use music streaming platforms. While such platforms provide access to millions of songs, the sheer volume of choices available renders it hard for users to find songs they like. Consequently, the task of finding music the user likes is often mitigated by music recommender systems, which aim to provide recommendations that match the user’s current context. Particularly in the field of music recommendation, adapting recommendations to the user’s current context is critical as, throughout the day, users listen to different music in numerous different contexts and situations. Therefore, we propose a multi-context-aware user model and track recommender system that jointly exploit information about the current situation and musical preferences of users. Our proposed system clusters users based on their situational context features and similarly, clusters music tracks based on their content features. By conducting a series of offline experiments, we show that by relying on Factorization Machines for the computation of recommendations, the proposed multi-context-aware user model successfully leverages interaction effects between user listening histories, situational, and track content information, substantially outperforming a set of baseline recommender systems.

scholarly journals ‘Press play for pride’: The cultural logics of LGBTQ-themed playlists on Spotify

2018 ◽  
Vol 21 (6) ◽  
pp. 1192-1211 ◽  
Author(s):  
Frederik Dhaenens ◽  
Jean Burgess
Keyword(s):  
Digital Media ◽  
Identity Politics ◽  
Community Building ◽  
Cultural Practice ◽  
Identity Work ◽  
Individual Identity ◽  
Music Culture ◽  
Music Consumption ◽  
Streaming Services ◽  
Music Streaming

This article explores the cultural practice of creating lesbian, gay, bisexual, transgender, and queer (LGBTQ)-themed playlists on music streaming services. It aims to understand how LGBTQ identities and cultures are represented and negotiated through the use of, and shaped by, digital media platforms. Through the textual analysis of 37 LGBTQ-themed Spotify playlists, we identified four cultural logics that structure the practice of playlist curation, each of which demonstrates the significance of music consumption to individual identity work and collective belonging. We conclude that the practice of playlist curation engages with LGBTQ culture in three productive ways: first, the curators contribute to a library of libraries by sharing their diverse perspectives on what constitutes LGBTQ music culture; second, the Spotify platform engages in community-building through enabling the sharing of tastes, pleasures, and experiences; and third, the curation of playlists brings diverse identity politics to the table, resulting in playlists that are politically queer, heteronormative, or ideologically ambiguous.

scholarly journals DEMYSTIFYING MUSICAL PREFERENCES AT TURKISH MUSIC MARKET THROUGH AUDIO FEATURES OF SPOTIFY CHARTS

2019 ◽  
Vol 4 (3) ◽  
pp. 264-279
Author(s):  
Fatih PINARBAÅžI
Keyword(s):  
Descriptive Statistics ◽  
Popular Song ◽  
Energy Characteristics ◽  
Audio Features ◽  
Popular Songs ◽  
Music Consumption ◽  
Online Music ◽  
Streaming Services ◽  
Music Market ◽  
Music Streaming

Online music streaming services are one of the important actors in music consumption for today’s consumers. In addition to widespread use of mobile devices, many changes in the patterns of music consumption are witnessed such as the purchase of single tracks instead of albums, listening to music on different platforms, and personalized music consumption options. This study aims to examine the concept of music consumption in Turkey through audio characteristics of popular songs. Top 200 popular song-lists for 6 months period are chosen as sample and audio characteristics provided by Spotify API service regarding 676 unique songs are analyzed. Following descriptive statistics of Turkey Music Market, clustering methodology is employed and three different clusters for songs are concluded. Finally, decision tree methodology is employed to classify the dataset with popularity scores and audio characteristics together, while loudness and energy characteristics are found as significant classifiers.

scholarly journals TRUST IN THE MUSIC? AUTOMATED MUSIC DISCOVERY, MUSIC RECOMMENDATION SYSTEMS & ALGORITHMIC CULTURE.

2019 ◽  
Vol 2019 ◽  
Author(s):  
Freeman Sophie Olivia
Keyword(s):  
Recommendation System ◽  
Recommendation Systems ◽  
Digital Culture ◽  
Music Recommendation ◽  
Private Lives ◽  
Complex Element ◽  
Recommendation Algorithms ◽  
Music Consumption ◽  
Music Streaming ◽  
Music Recommendation System

In this paper I argue that music recommendation algorithms are a complex element of contemporary digital culture. We trust music streaming and recommender systems like Spotify to ‘set the mood’ for us, to soundtrack our private lives and activities, to recommend & discover for us. These systems purport to ‘know’ us (alongside the millions of other users), and as such we let them into our most intimate listening spaces and moments. We fetishise and share the datafication of our listening habits, reflected to us annually in Spotify’s “Your 2018 Wrapped” and every Monday in ‘Discover Weekly’, even daily in the “playlists made for you”. As the accuracy of these recommendations increases, so too does our trust in these systems. ‘Bad’ or inaccurate recommendations feel like a betrayal, giving us the sense that the algorithms don’t really know us at all. Users speak of ‘their’ algorithm, as if it belonged to them and not a part of a complex machine learning recommendation system. This paper builds on research which critically examined the music recommendation system that powers Spotify and its many discovery features. The research explored the process through which Spotify automates discovery by incorporating established methods of music consumption, and demonstrated that music recommendation systems such as Spotify are emblematic of the politics of algorithmic culture.

Pengaruh Streaming Musik Terhadap Industri Musik di Indonesia

2020 ◽  
Vol 29 (1) ◽  
pp. 14-25
Author(s):  
Dini Noviani ◽  
Raenita Pratiwi ◽  
Silvia Silvianadewi ◽  
Mohammad Benny Alexandri ◽  
Marsha Aulia Hakim
Keyword(s):  
Intellectual Property ◽  
Qualitative Method ◽  
Music Industry ◽  
Influential Factors ◽  
Consumption Patterns ◽  
Digital Music ◽  
Music Consumption ◽  
Streaming Service ◽  
Music Streaming

Music streaming service has become one of the most influential factors in Indonesian music consumption patterns where the music industry can no longer depend on physical products and consumers are now more selective in enjoying music. This study discusses how the development of the use of steaming music platforms has an impact on consumption patterns and music marketing. The method used in this study is a qualitative method by means of descriptions in the form of words and language. The results of this study indicate that the movement of Z as the main connoisseurs of digital music in Indonesia has shown that the music industry players are very supportive of digitalization to facilitate marketing their music and help protect their intellectual property by reducing piracy.

Analysis of Music Streaming Service's Price Types

2018 ◽  
Vol 11 (1) ◽  
pp. 81-100
Author(s):  
Joo Hee Lee ◽  
◽  
Young Doc Seo
Keyword(s):  
Music Streaming

Market Capture of Music Streaming Services in India

2020 ◽  
pp. 65-67
Keyword(s):  
Country Music ◽  
Internet Services ◽  
Indian Market ◽  
Internet Users ◽  
Streaming Services ◽  
Market Capture ◽  
Streaming Service ◽  
Music Streaming ◽  
Day By Day

India is a very vast market for internet services as it has over 480 million active internet users in the country. Music streaming services in India is emerging day by day. The competition in the market is so high that even two giants Jio Music and Saavn join their hand in 2018 to provide a combine service all across the globe. In, 2019 a global giant Spotify entered into music streaming market in India and affected the each music service in India. Gaana owned by Times Internet have over 150 million active monthly users in the country while JioSaavn reported 100 million active monthly users as per a website. This research is going to study the market capture of various music streaming services in India. Currently, as per the research, Spotify is the most popular streaming service. As per the literature available on various platforms other streaming services were holding the major proportion of the Indian market but after the launch of Spotify, it became most loved streaming service. The research is being done to find out the existing music streaming services are affected by the entrance of Spotify or not

The Effect of Music Streaming Websites to the Academic Performance of College Students in Panabo City

2019 ◽  
Author(s):  
Mark Van Buladaco ◽  
Garri Mikhail Aguirre ◽  
Joshua Manito ◽  
Alexis Soliman ◽  
El Christian Villareal
Keyword(s):  
College Students ◽  
Academic Performance ◽  
Music Streaming

Leisure-Time Music Activities from the Perspective of Musical Agency

2017 ◽  
Author(s):  
Sidsel Karlsen
Keyword(s):  
Music Education ◽  
Leisure Time ◽  
Learning Trajectories ◽  
Binary Opposition ◽  
Sociology Of Music ◽  
Music Production ◽  
Music Consumption ◽  
Musical Taste ◽  
Specific Concept ◽  
Music Activities

This chapter aims to understand the phenomenon of leisure-time music activities from the perspective of musical agency. It explores how individuals’ and groups’ recreational practices involving music can be seen as a means for expanding their capacities for acting in the lived-in world. The exploration proceeds through theoretical and experiential accounts. It first draws on literature from general sociology, music sociology, and the sociology of music education in order to elaborate on the broader notion of agency, as well as the more field-specific concept of musical agency. It then explores various music-related agency modes through narrating the author’s own experiences of participating in, leading, and observing leisure-time music activities. The chapter aims to dissolve the binary opposition between recreational music production and music consumption. It argues that the two poles instead can be understood as inseparably intertwined venues for the constitution of agency, musical taste and music-related learning trajectories.

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