Music Platforms Research Articles

The Construction of a Symbolic Consumption System under the Capital Logic of Digital Music Platforms—Taking NetEase Cloud Music as an Example

The Construction of a Symbolic Consumption System under the Capital Logic of Digital Music Platforms—Taking NetEase Cloud Music as an Example

영상 콘텐츠 배경음악 제작 및 유통 연구

Recently, video content based on video platforms has been growing both quantitatively and qualitatively in terms of the diversity of subject matter, scale of production, and level of content completion. As the size of the video platform market has expanded, the number of video creators generating revenue has increased. The low entry barriers have led to a flood of indiscriminate new creators and a proliferation of similar content to popular content, intensifying competition among content creators. Creators faced with this reality are required to improve and differentiate themselves in various ways to maintain competitiveness. Therefore, there is a need for research into the production and distribution of background music, one of the key elements of diversified and varied video content. This study aims to contribute to the high-quality video content production environment by conducting in-depth research on the current status, issues, and improvement methods of background music production and distribution for video content. To this end, we first examined the revenue structure and background music usage status of video content creators to confirm the importance of creative background music. Subsequently, we categorized background music platforms into talent markets, subscription-based services, and AI groups to explore their current status and characteristics. Finally, we investigated the copyright management methods of each of the three platform groups to emphasize the need for creators to understand their legal rights concerning their creations. This study is meaningful in enabling video content creators to monetize through creative and diverse background music production without copyright infringement during content creation. Moreover, it is hoped that authors, producers, and users will interact with professionalism, fairness, and trust to co-evolve and contribute to the production of background music for video content.

Construction of College Students’ Music Interest Platform Based on Internet+

In the context of the gradual improvement of the degree of personalized development, College Students’ interest in music shows a diversified trend, which makes the construction of relevant music platforms fully consider the actual needs of individual users and recommend resources corresponding to their interests. This paper puts forward the research on the construction of College Students’ music interest platform based on Internet [Formula: see text]. On the premise of analyzing the value proposition of the cultural industry platform model and the emphasis on customer goals under the background of “Internet [Formula: see text]”, this paper designs a platform structure including resource management module, College Students’ user management module, resource recommendation module and resource startup module. The big data technology under the background of “Internet [Formula: see text]” is used to analyze the MIDI audio characteristics and user behavior characteristics of resources. The binary community is used to establish the matching relationship between the two, determine the recommended resources, and introduce the heat parameter to avoid the cold start problem. The test results show that the processing efficiency and response time of the design platform for user behavior and user requests can meet the needs of practical applications, and has high stability. The collection map, Download map and share map of the recommended results of the platform are the best outputs in the test stage.

Social Networking through Music: A Study of Netease Cloud Music Users’ Media Practices

Social networking through music has developed into a mediated practical activity for individuals in a variety of contexts, including going out, playing games, sports, and working. This is due to the mobile mediatization of daily life. A social ecosystem centered around music has developed as a result of mobile music applications, such as NetEase Cloud Music, which have progressively exposed the social aspects of music. From the standpoint of media practices, this study investigates the relationship between people’s social practices and music as a medium, highlighting the social role and relevance of music as well as the various ways in which users use it for social interactions. Users employ music as a medium to engage in social interactions, establishing meaningful connections. Social networking through music socialization is generated in personal sharing and multidimensional interaction. The NetEase Cloud Music platform recognizes the importance of music as a social communication tool, creating a novel kind of social music engagement and fully valuing music. A thorough examination of music socialization in the context of media practice is important because it gives us a practical perspective on how music, media, and society interact in day-to-day living.

YouTube Coke Studio Pakistan: Negotiating Identity, Blurring Boundaries

Aim of the Study: This study is about Coke Studio Pakistan, a Coca-Cola-Sponsored music platform that curates its music on YouTube. The article argues that the YouTube channel of the Coke Studio is a space of unprecedented ‘interaction’ between South Asians that share the love for regional music. In that, their engagement with Afreen Afreen, the second most consumed song on Coke Studio’s official channel, has been evaluated through the lens of citizenship studies. Methodology: For analysing the comments, data coding began with a quantitative approach that informs its main principal methods of thematic analysis and textual analysis. The themes ranged from their love for music to issues that shape the regional politics. The idea was to identify the themes that transcend the animosity between the two countries and celebrate their mutual love for music, while also acknowledging themes (contentious issues) that shape politics of the region. Findings: The study argues that whilst the song itself can be seen as an act of citizenship, the comments section offers a rich canvas for observing citizen interaction. Through comments, the audiences perform across the spectrum of cultural citizenship and agonistic publics. The comments section becomes a space of opportunity to not only celebrate the music but also to reflect on regional politics. Conclusion: The study concludes that the exchanges on YouTube are the first steps towards enabling people-to-people contact. It is part of a learning process to co-exist with the adversary who differs in their opinions yet has the right to exist and preserve their sovereignty.

Collaborative Playlists around the World: A Cross‑Cultural User Study

Collaborative playlists (CPs) enable users of streaming platforms to share and discover music through co‑curation. Recent studies involving predominantly North American samples have found that CPs are created for a variety of contexts, help users organize and access music, facilitate music discovery, and support social connections. Yet, despite these important benefits, little is known about how CP usage aligns or varies across different cultures. We conducted an exploratory study to better understand the landscape of collaborative music engagement with a focus on Hong Kong, South Korea, Quebec, and the United States. We found that across these cultures, previously established purposes for engaging in CPs apply, yet with different degrees of emphasis. Perceived and expected CP outcomes and broader perspectives on social connection through music also varied by location and CP user type. With these findings we discuss primary similarities and differences across the studied cultures and highlight directions for future investigations to further elucidate how music platforms with CP functionalities—and social capabilities more generally—can better help users achieve their desired goals around music.

DEKONSTRUKSI CITRA PEREMPUAN PADA LIRIK SATU BULAN DAN KATA MEREKA INI BERLEBIHAN KARYA BERNADYA

This study analyzes the representation of women's images in two Bernadya songs through the perspective of Simone de Beauvoir's existentialist feminism, especially how women are depicted in patriarchal love relationships. The method used is critical discourse analysis with a hermeneutic approach, examining the hidden meanings behind the language and narrative in the lyrics. Data was obtained from the lyrics of both songs, sourced from credible music platforms, and analyzed based on de Beauvoir's concept of 'the Other.' The findings indicate that women are positioned in a subordinate role, trapped in the effort to achieve perfection in the eyes of their partners, yet never quite sufficient to gain equal recognition. This study contributes to the understanding of gender inequality in popular music media, with implications that music can serve as a tool to explore gendered power imbalances within patriarchal culture.

Performance of complementor’s complementary goods on platform ecosystems: the perspective of individual complementors' complementary goods development behavior

The purpose of our study was to examine how individual complementors' development behaviors (specifically, diversity- and distinctiveness-oriented development behaviors) impact the performance of complementary goods on the platform. To achieve this, we employed fixed-effects regression analysis and utilized panel data obtained from the free music platform “DOVA.” This study examines two aspects of the performance of complementor’s complementary goods: the highest performance related to the success of the platform ecosystem and the lowest performance related to platform ecosystem sustainment. The findings indicate that a high focus on diversity-oriented development behavior is positively correlated with the complementor's highest performance and negatively correlated with complementor's lowest performance. Additionally, distinctiveness-oriented development behavior also positively correlated with complementor's highest performance. However, low distinctiveness-oriented development behavior is negatively correlated with complementor's lowest performance. We reveal desirable development behaviors for complementary goods related to both content innovation and platform ecosystem sustainability. Based on these understandings, platform owners can target platform governance.

Advancing emotion recognition of audio: Testing and verifying machine learning techniques for speech and music

The aim of this research is to investigate machine learning techniques for emotion recognition for audio such as human speech and music. Emotion recognition technology has a history in commercial applications to enhance personalized music recommendations, mood-based ambience detection and interpret human interactions or human-machine interaction such as job interviews, caller-agent calls, streaming videos, and music platforms such as Spotify. Moreover, enhancing these algorithms can significantly benefit individuals on the autism spectrum by promoting accurate and practical support. In this study, we employed a combination of techniques to build a machine learning approach for emotion recognition. By adjusting the audio features and given test and train data, we aimed to identify and enhance the relationships between audio perception and its features. This approach seeks to eventually improve the accuracy and applicability of emotion recognition systems, contributing to the ongoing development and promotion of this technology in various domains.

Listening Habits of the Audience: Traditional Radio or Music Platforms? A Study About the Listener

Dijital ortamların ve yeni medya mecralarının her geçen gün daha da fazla günlük hayata dâhil olduğu bugünlerde, birey için geçmişin sesli içerik dinleme ve hayata dâhil olma alışkanlıklarından radyonun yeni düzende yerini araştırmak önem taşımaktadır. Yeni medya ve geleneksel medyanın aynı anda tüketilmeye başladığı ve kullanım oranlarının her geçen gün arttığı günümüzde, geleneksele olan ilgi eski günlerini aramaktadır. Bu çalışmada geçmişin dinleme alışkanlıklarından olan radyonun günümüz yeni medyasında halefi olarak yer alan müzik platformları gençlerin dinleme alışkanlıklarına yönelik bir saha çalışması ile belirlenmeye çalışılmıştır. Çalışmada örneklem alınan grubun dinleme eyleminde değişen alışkanlıklarına dair sorular ile veriler elde edilmeye çalışılmıştır. Bu kapsamda araştırmacılar tarafından geliştirilen anket formu kullanılmıştır. Araştırma bulgularına göre radyo üzerinden müzik dinleyen kitle sohbetli program yapısı ve müzik çeşitliliğinden dolayı radyoyu tercih etmektedir. Müzik platformu üzerinden sesli içerik dinleyen kitle müzik dinlemeyi kişiselleştirebilme ve reklamsız içerik yapısı nedenlerinden dolayı müzik platformunu tercih ettikleri tespit edilmiştir. Müzik platformu radyodan daha fazla tercih edilmektedir. Mevcut sonuçlardan yola çıkarak radyo ve müzik platformlarının dinleyiciye ulaşmasına ve ileriki bilimsel çalışmalara katkı sağlama çerçevesi geliştirilmeye çalışılacaktır.

Unveiling the melodic matrix: exploring genre-and-audio dynamics in the digital music popularity using machine learning techniques

PurposeThis paper aims to explore factors contributing to music popularity using machine learning approaches.Design/methodology/approachA dataset comprising 204,853 songs from Spotify was used for analysis. The popularity of a song was predicted using predictive machine learning models, with the results showing the superiority of the random forest model across key performance metrics.FindingsThe analysis identifies crucial genre and audio features influencing music popularity. Additionally, genre specific analysis reveals that the impact of music features on music popularity varies across different genres.Practical implicationsThe findings offer valuable insights for music artists, digital marketers and music platform researchers to understand and focus on the most impactful music features that drive the success of digital music, to devise more targeted marketing strategies and tactics based on popularity predictions, and more effectively capitalize on popular songs in this digital streaming age.Originality/valueWhile previous research has explored different factors that may contribute to the popularity of music, this study makes a pioneering effort as the first to consider the intricate interplay between genre and audio features in predicting digital music popularity.

Music recommendation systems in music information retrieval: Leveraging machine learning and data mining techniques

Music Information Retrieval (MIR) has become a pivotal area of research with the rise of digital music platforms, enabling personalized music recommendations to enhance user experience. This paper explores the integration of machine learning and data mining techniques in music recommendation systems. We discuss user-based and item-based collaborative filtering, matrix factorization methods like Singular Value Decomposition (SVD) and Alternating Least Squares (ALS), and content-based filtering that incorporates audio feature analysis, metadata, and lyrics analysis. Additionally, we delve into hybrid recommendation systems, combining collaborative and content-based approaches using advanced models such as neural networks and hybrid autoencoders. Our finding show that, hybrid systems provide the most accurate and personalize recommendations, albeit requiring significant computational resources. Practical applications from platforms likes Spotify and Pandora illustrate the effectiveness of these approaches in real-world settings.

The Inheritance and Development of Northern Shaanxi Folk Songs in the Era of Big Data

With the arrival of the big data era, the inheritance and development of northern Shaanxi folk songs are facing unprecedented opportunities and challenges. From the perspective of big data, this paper analyses the communication status of northern Shaanxi folk songs in contemporary society, discusses the impact of the big data era on the inheritance and development of northern Shaanxi folk songs, and puts forward a series of innovative inheritance and development strategies. Firstly, this paper gives a brief introduction to the concept and characteristics of the big data era, and elaborates on the historical and cultural value of northern Shaanxi folk songs. Through the data mining of network platforms and field research, the communication characteristics of northern Shaanxi folk songs are analysed, and it is found that its communication channels are wide and the audience groups are diverse, but at the same time, it also faces the dilemma of the traditional inheritance method and the problem of low acceptance of the younger generation. In view of these problems, this paper proposes a series of inheritance and development strategies. In terms of dissemination, it is suggested that new media channels such as digital music platforms and online short videos be used for promotion; in terms of education and training, it is advocated that Shaanxi folk songs be integrated into school music education and professional training courses to cultivate a new generation of Shaanxi folk song inheritors; in terms of artistic innovation, it is encouraged that Shaanxi folk songs be combined with modern art forms, and that new Shaanxi folk songs with the characteristics of the times be created. In order to verify the feasibility of the proposed strategy, this paper selects two successful cases to introduce and analyse, summing up a series of valuable experience. Finally, this paper summarises the whole paper and looks forward to the future inheritance and development of northern Shaanxi folk songs in the era of big data.

Folk music: the bedrock of Chinese cultural traditions / Música folk: fundamentos de las tradiciones culturales chinas

Folk music is an integral part of any national art and contributes to the cultural development of each country. This paper is aimed at studying aspects of Chinese folk music, which is the bedrock of Chinese cultural traditions. This paper conducted a sociological survey of 142 students in their third year of study. The results showed that 37% of the respondents believe that traditional music is a folk art passed down from generation to generation. The most important function of folk music, according to students’ opinions, is the preservation of cultural traditions based on historical events (27%). Due to the fact that respondents perceive folk music as the most harmonious in piano instruction (36%), the tools for its integration in piano lessons have been developed. These tools include selecting a music platform, providing theoretical information in the public domain, developing improvisation skills based on folk compositions, using online platforms to share experiences and knowledge between students and teachers and analysing contemporary Chinese compositions. In addition, all mentioned applications have been tested to measure their effectiveness. The best results of using folk compositions in piano instruction were achieved in group #5 (100%), which can be explained by knowledge gained in the first and second terms.

Mirroring the inequalities of mainstream music platforms: popularity, revenue, and monetization strategies on Bandcamp

ABSTRACT In the era of digital music streaming, understanding the monetization and popularity dynamics of online audio distribution platforms is crucial for both researchers and music industry professionals. While much of the existing research has focused on mainstream platforms such as Spotify and Apple Music, we study Bandcamp, an alternative marketplace that, among other things, empowers independent artists to upload and sell their music. Leveraging a rich dataset of one million Bandcamp sales, we investigate the distribution of popularity and revenues among artists on the platform. Our analysis reveals a substantial level of inequality, with a small core of musicians concentrating most of the purchases and revenues. Surprisingly, our results also indicate that many artists adopt a monetization strategy that involves devaluing their products, potentially leading to a cherry-picking of songs by consumers. These findings shed light on the challenges faced by alternative music distribution services and emphasize the need for further exploration of a fairer and more sustainable business model for independent artists.

API integration and organisational agility outcomes in digital music platforms: A qualitative case study

Organisations deploy digital platforms to maximise value and transform their businesses. The success of most platforms is attributed to Application Programming Interfaces (APIs), the protocols enabling different software to communicate with each other. However, previous research on APIs has predominantly focused on the technical dimensions, such as design, and unintentionally neglected other social areas, such as organisational outcomes. This study seeks to advance organisational API research by adopting an agility perspective to explore the agility outcomes after API integration. Through rich qualitative data from a music digital firm, the findings revealed four primary agility outcomes: customer agility in the form of swift customer feedback, operational agility in the form of improved business process and delay reduction, partner agility in the form of embracing flexibility in processes and structures and expanding their ecosystem and decision agility in the form of fast decision making. A model showing the interplay and interdependencies of the agility outcomes was developed and provided depth and clarity to the findings. This study extends the literature by establishing how API integration influences organisational agility under conditions such as possessing capabilities and managing tensions during the integration process.

Thai Rap Songs Through the World Englishes Approach: Code-Switching and Nativization

Abstract This study examines the English elements and nativized English features present in recent Thai rap songs. The source data comes from a Thai rap playlist called Thai Rapper on the online music platform Spotify. All English units found in the lyrics were manually counted and classified. The results diverged from most studies of Thai-English code-switching in Thai media in that, among the English elements considered, sentences were employed most frequently. Among nativized English features, semantic shift was most frequently employed. I argue that the local and global English identity flows (Pennycook 2009) index a shift in the Thai rap community toward assimilation of their Thai hip-hop identity into global street culture, a phenomenon becoming more prevalent among today’s Thai youth.

Reflections on the Dissemination and Development of Ethnic Music Culture in the Context of New Media

Modern digital music platforms and social media tools have become the mainstream form of music and culture dissemination. These platforms can optimize the efficiency of folk music dissemination, and at the same time, integrate folk cultural resources to present to people in a three-dimensional way. New media platforms integrate traditional music culture and modern art culture, and lay an important foundation for the globalization of folk music. The article explores the characteristics of ethnic music communication in the context of new media, analyses its main ideas and future development trends, with a view to providing important references for professionals.

浅谈线上音乐平台中的韩文歌词汉译

In recent years, cultural exchanges between China and South Korea are no longer as active as before due to China's growing awareness of protecting local culture. However, “Korean wave” culture, especially Korean pop songs such as K-POP, remains hugely popular in China. On China's major online music platforms, Korean songs account for a large proportion of listeners. Music is a borderless language, and lyrics are an important means to promote music. Therefore, it is of great significance to study the Chinese translation of Korean lyrics. Although there are some similarities between Chinese and Korean languages, there are still great differences in cultural background, pronunciation and grammar. This paper aims to discuss the principles of translating Korean lyrics from Chinese by analyzing the current situation, influencing factors and concrete examples.

Quantifying the impact of homophily and influencer networks on song popularity prediction.

Forecasting the popularity of new songs has become a standard practice in the music industry and provides a comparative advantage for those that do it well. Considerable efforts were put into machine learning prediction models for that purpose. It is known that in these models, relevant predictive parameters include intrinsic lyrical and acoustic characteristics, extrinsic factors (e.g., publisher influence and support), and the previous popularity of the artists. Much less attention was given to the social components of the spreading of song popularity. Recently, evidence for musical homophily-the tendency that people who are socially linked also share musical tastes-was reported. Here we determine how musical homophily can be used to predict song popularity. The study is based on an extensive dataset from the last.fm online music platform from which we can extract social links between listeners and their listening patterns. To quantify the importance of networks in the spreading of songs that eventually determines their popularity, we use musical homophily to design a predictive influence parameter and show that its inclusion in state-of-the-art machine learning models enhances predictions of song popularity. The influence parameter improves the prediction precision (TP/(TP FP)) by about 50% from 0.14 to 0.21, indicating that the social component in the spreading of music plays at least as significant a role as the artist's popularity or the impact of the genre.