Streaming Research Articles

Hip-hop music producers’ labour in the digital music economy: Self-promotion, social media and platform gatekeeping

There has been much debate concerning the changing nature of cultural production and distribution in the digital creative economy. Music production work has been especially affected by promotional conventions established by social media and music streaming platforms. This article critically builds atop perspectives on the platformisation of cultural production to investigate how independent hip-hop music producers develop their careers in the era of digital media platforms. It examines how traditional media and digital platform gatekeepers affect producers’ abilities to professionalise, promote creative work to audiences and manage precarious conditions for their labour. Insights from interviews with 15 producers from 8 countries are analysed and discussed to provide a nuanced view of the conditions for music production careers in the platform era of the digital creative industries.

A Systematic Review of Event-Matching Methods for Complex Event Detection in Video Streams

Complex Event Detection (CED) in video streams involves numerous challenges such as object detection, tracking, spatio–temporal relationship identification, and event matching, which are often complicated by environmental variations, occlusions, and tracking losses. This systematic review presents an analysis of CED methods for video streams described in publications from 2012 to 2024, focusing on their effectiveness in addressing key challenges and identifying trends, research gaps, and future directions. A total of 92 studies were categorized into four main groups: training-based methods, object detection and spatio–temporal matching, multi-source solutions, and others. Each method’s strengths, limitations, and applicability are discussed, providing an in-depth evaluation of their capabilities to support real-time video analysis and live camera feed applications. This review highlights the increasing demand for advanced CED techniques in sectors like security, safety, and surveillance and outlines the key opportunities for future research in this evolving field.

Incentivized BiLSTM with Triplet Attention for Predecting Congestion in Network Traffic

In the world of online live video streaming, network traffic congestion poses a serious risk to user experience and service quality. Several factors contributing to the congestion include insufficient bandwidth, an increase in user demand, as well as ineffective data routing. The incapacity of the prediction algorithms to Adjust to modifications in network circumstances and challenges in detecting long-range relationships may restrict their ability to effectively estimate congestion in dynamic contexts when it comes to online streaming video. In order to overcome these constraints, this study created an Incentivized-RF-Triplet ASTM (“Incentivized learning-based triplet attention enabled rat fierce hunting optimized Bidirectional Long Short-Term Memory) for network traffic congestion prediction in online streaming video. A reward” scheme built into the Incentivized learning mechanism pushes the algorithm to prioritize online live video streaming congestion prediction. The sequential structure of network traffic data is handled by the BiLSTM architecture, that is well-known for capturing temporal dependencies. By utilizing the triplet Attention method, the model is better able to identify relevant regions within the input data as well as identify congestion patterns more successfully. The RFSO method incorporates social behavior with selection and searching qualities to further improve the classifier's parameters. Therefore, the characteristics of the model can be tuned more effectively and robustly, improving its effectiveness in congestion detection. The outcomes of the experiment show how well the Incentivized-RF-Triplet ASTM technique works to precisely estimate traffic congestion for the Darpa99week1 dataset. 95.97% accuracy, 96.08% specificity, and 0.22 mean square error are reported.

Chinese Cinephiles in the Post-Pandemic Pandemic Era: Comparing the Transition from Traditional Theatres to OTT Platforms

The COVID-19 pandemic has reshaped film consumption patterns in China, driving a notable transition from traditional theatres to over-the-top (OTT) platforms. This study investigates the factors influencing post-pandemic cinephile preferences, particularly the interplay between OTT platforms and traditional cinema-going platforms. The surge in online streaming, boosted by pandemic-induced restrictions, has been critical with regional giants such as iQIYI restyling Chinese entertainment traditions. This research aims to uncover the determinants guiding cinephile choices by analysing demographic variables, technological advancements and consumption patterns. Through a survey in Tier II cities, data from 656 participants were analysed to determine the OTT platform and cinema usage. The findings reveal nuanced trends: females slightly favour OTT platforms, while males prefer traditional cinemas. Young adults aged 21 to 25 years are the most active users of both platforms, with education level slightly affecting usage. Smartphone usage is widespread, with 70% accessing OTT platforms via mobile. While 40% view OTT platforms as challenging traditional cinemas, 65% view OTT platforms in the future. Key factors influencing future cinema-going include OTT platform accessibility and time constraints—over 80% expressed satisfaction with their cinema experiences, with peak seasons significantly impacting ticket prices. Comedy, drama and action genres were most popular among cinemagoers, each with over 60% preference. These findings imply that the future of film consumption in China will likely be shaped by the balance and integration of OTT platforms and traditional cinema experiences.

Digital Transformation in Community Radio: Extending the Reach of Social Inclusion Efforts at Mathare FM, Nairobi, Kenya

This study explores the potential of Mathare FM, a community radio station in Nairobi’s Mathare slum, to enhance social inclusion through digital transformation. The main objectives were to assess how digital platforms can expand Mathare FM’s role in promoting social inclusion and to explore the perceptions of listeners and staff regarding the integration of these tools. Purposive sampling method was employed to select participants who could provide relevant insights regarding the station's social inclusion impact for Mathare residents. Grounded in Diffusion of Innovations Theory and Uses and Gratifications Theory, this research analyses the benefits of incorporating social media, mobile applications, and online streaming into the station’s operations. Data collected from the questionnaires were analysed using SPSS to perform descriptive and inferential statistical analyses. A descriptive research approach was used, combining questionnaires and interviews with a sample size of 400 members. Findings indicate that Mathare FM plays a significant role in promoting social inclusion, with 53% of respondents reporting high satisfaction with the station's community engagement efforts. Notably, 76% of respondents believe that digital platforms would facilitate greater engagement for marginalized groups, and 73% expressed a willingness to integrate these tools with traditional broadcasting. The study recommends developing a comprehensive digital strategy, enhancing social media engagement, and leveraging mobile applications to increase accessibility and interaction within the community.

The story behind the cinematic true crime documentary: working towards a typology

ABSTRACT Historically, documentaries have employed cinematic techniques, but since the 1990s there has been a pronounced application of such devices for theatrical appeal. This trend, amplified by digital streaming platforms, raises concerns about representations of reality. To understand the scope of such concerns, a key question arises: what constitutes some of these ‘cinematic’ techniques used within documentaries? Despite claims that appealing documentaries often employ Hollywood storytelling strategies, there is limited understanding of how the genre adopts specific devices for cinematic entertainment. This article examines true crime documentary The Imposter, analysing its use of cinematic screenwriting and story devices, specifically dramatic structure. An analytical model is synthesised through genre theory (thriller) with Lucy V. Hay's understanding of the Three-Act-Structure, underpinned by relevant literature. This examination reveals how the documentary employs ‘cinematic’ aesthetics and thriller conventions to engage audiences. Drawing on Murray Smith’s ‘Structure of Sympathy’, the article explores the filmmaker's application of these storytelling techniques, shedding light on their potential capacity to shape audience appraisal of real-world events and subjects in true crime documentaries. The analysis aims to identify and unpack these specific storytelling devices, contributing to a deeper understanding of the impact of cinematic techniques in nonfiction filmmaking for representing reality.

A Study on Movie Genre Analysis Using IMDb Data

This study examines the global film industry's trends, challenges, and revenue dynamics from the 1960s to the 2010s. Utilizing IMDb data, the research analyses various factors that influence film revenue, such as budget, genre, vote count, and popularity. The analysis employs statistical methods, including multiple regression, to uncover significant correlations between these variables. The findings highlight how higher budgets are often associated with higher revenues, particularly in action and animation genres. However, the success of a film also heavily depends on elements like storytelling quality, effective marketing, and audience engagement. Additionally, the rise of digital streaming platforms has significantly altered the landscape of film distribution and consumption. This study provides valuable insights for filmmakers and marketers, suggesting strategies to optimize their production and promotional efforts in line with evolving industry trends and audience preferences. Future research directions include exploring the impact of emerging technologies on the film industry

Research on Social Live Broadcast pps in Thenew Media Era

With the rapid growth of digital media, online social live streaming, as a new means of information exchange, has penetrated into our daily lives and has been widely used in various industries such as enterprise marketing, online teaching, and folk culture inheritance. This article provides a preliminary introduction to the concept, attributes, and classification of online social live streaming, and explores the application strategies in product promotion, online learning, and cultural promotion. When examining the current development status of social live streaming, a series of problems have been discovered, including the proliferation of vulgar information, user privacy and security issues, and intellectual property infringement. Suggestions have been put forward to improve the regulatory system for social live streaming content, strengthen user privacy and security protection, and promote the sound legal system, in order to promote the healthy and orderly development of social live streaming in the new media era and provide reference and inspiration for the industry.

Toward an interface affordance model for online streaming video platforms

Toward an interface affordance model for online streaming video platforms

Advanced Hybrid Recommender Systems: Enhancing Precision and Addressing Cold-Start Challenges in E-Commerce and Content Streaming

Advanced Hybrid Recommender Systems: Enhancing Precision and Addressing Cold-Start Challenges in E-Commerce and Content Streaming

Exploring Spotify's Music Popularity Dynamics and Forecasting with Machine Learning

Abstract. Spotify, one of the largest music streaming service providers, boasts a vast user base and an extensive music catalog. To gain a deeper understanding of Spotify users' music preferences and behavioral patterns, this paper conducts a thorough analysis and explores the correlation between music features and user behavior. It collects Spotify users' music listening data and extracts various music features such as energy, danceability, valence, and beats per minute (BPM). These features not only reflect the musical style and rhythm but also potentially correlate with users' preferences and listening habits. Then we employ two machine learning models, Decision Trees and Random Forests, to model and analyze Spotify users' behavior data. Through these models, we can accurately identify potential relationships between music features and user behavior. The experimental results indicate that music features such as energy, danceability, valence, and BPM have a significant impact on users' music selection and preferences. By analyzing the most popular songs on Spotify over different time periods, we discover that songs with high energy, danceability, and valence tend to be more popular among users. This finding not only validates the correlation between music features and user behavior but also reveals the user preferences and market demands behind music trends. For music streaming service providers, understanding users' music preferences and behavioral patterns is crucial. By deeply analyzing user data, music streaming services can better satisfy users' needs, enhance user experience, and stand out in the fiercely competitive market. These findings have important practical implications for music streaming service providers and provide new insights and methodologies for the research and development of the music industry.

A comparative study of various recommendation algorithms based on E-commerce big data

With the rapid development of the Internet and the concomitant exponential growth of information, we have entered an era characterized by information overload. The abundance of data has rendered it increasingly arduous for users to pinpoint specific information they require. However, various forms of recommendation algorithms proffer solutions to this challenge. These algorithms predict items or products that may pique users’ interest based on their historical behavior, preferences, and interests. As one of the current hot research fields, recommendation algorithms are extensively employed across E-commerce platforms, movie streaming services, and various other contexts to cater to the diverse needs of users. In this context, a multi-recommendation algorithms comparison platform is proposed, which includes a two-fold model: online evaluation and offline evaluation. Taking the data set of the Chinese Amazon online shopping mall as the experimental data, item-based collaborative filtering (Item-CF) algorithm, content-based (TF-IDF) algorithm, item2vec model, alternating least squares (ALS) algorithm and neural network algorithm are evaluated in the offline model. In the real-time recommendation part, model-based algorithm is used to achieve the users’ rating mechanism. And the metrics used for evaluation include: precision, recall, accuracy and performance. The experimental results show that the average performance of hybrid algorithms such as ALS algorithm and neural network algorithm is higher than that of other traditional algorithms, and the real-time recommendation system achieves the purpose of improving recommendation speed. By integrating various recommender algorithms into the multi-recommendation algorithms comparison platform, this platform automatically computes and presents various performance indicators based on the user-provided dataset. It aids E-commerce platforms in making informed decisions regarding algorithm selection.

Exploring the Freshwater Cladocera (Pleuroxus spp.) as New Potential Live Feed in Aquaculture

In freshwater lakes, cladocera play a crucial role in the food chain, as they are the primary source of nutrition for nearly all aquatic species. Pleuroxus spp. are very suitable for aquaculture due to their ease of handling, rapid growth, non-selective filter feeder, high nutritional value, and remarkable ability to adapt to many environmental conditions. Silver barbs are in high demand in the aquaculture business due to their excellent flavours and rapid development rate. In this study, Pleuroxus spp. was cultured in a control condition with water quality maintained at the room temperature of 26 ± 1 °C and pH of 7.0 ± 0.5. Five treatments of Pleuroxus spp. were prepared, which comprised of T1 (control) = unfed, T2 = coffee grounds, T3 = corn flour, T4 = wheat flour, and T5 = sugarcane waste. Pleuroxus spp. were fed with a selected diet solutions at a concentration of 0.5 g/L daily. The result shows that Pleuroxus spp. given T3 (24.88 ± 5.48 ind/mL) had a greater population density than T4 (22.13 ± 4.83 ind/mL), T2 (21.06 ± 5.27 ind/mL), and T5 (20.56 ± 4.92 ind/mL) dietary treatments. Pleuroxus spp. given T3 had the greatest survival rate (97.9 ± 9.8%) when compared to other diets, T4 (86.81 ± 19.07%), T2 (82.71 ± 16.56%), and T5 (75.00 ± 21.08%). Silver barb showed the highest amount of daily weight gain in treatment T3 (0.11 ± 0.001 mg/days; p < 0.05) compared with other dietary treatments. The maximum specific growth rate (SGR) (%) was achieved when fed with T3 (13.37 ± 0.02%; p < 0.05). The feed conversion ratio (FCR) was shown to be significantly different (p < 0.05). The FCR of larvae fed with different nutritional treatments ranged from 1.22 to 4.12, depending on the treatment. In comparison to other diets, the T3 treatment (1.22 ± 0.03) achieved the highest FCR ratio. In short, pre-feeding of zooplankton with prospective diets has built a baseline of improved aquaculture feeding procedures that may be employed in the future aquaculture businesses.

Evaluate the role of Moringa oleifera in improving the performance and productivity of broiler chickens

Moringa oleifera, popularly known as the "tree of life" or "miracle tree," is considered an essential herbal plant due to its numerous medical and non-medicinal properties. So, the current study aimed to evaluate the role of M. oleifera in improving the performance and productivity of broiler chickens. 120 broiler chicks of the Lohman breed were raised in the poultry field belonging to the College of Agriculture/University of Tikrit for the period from February to April 2024. The herd was divided into three groups: the first group was the control treatment, and the second group was given 10% M. oleifera leaf powder to the diet. As for the third group, 10% M. oleifera seed oil was used with the feed, this study was designed to calculate the following criteria: live body weight, weight gain, feed intake, and mortality rate. The results showed that the live body weight was better in treatment with M. oleifera seed oil (2095.16±25.42) compared to treatment with M. oleifera leaves (1983.14±29.26) still, when compared to the control group (1842.65±13.57), the two groups had a significant difference (P≤0.05). The average weight gain was better in treatment with M. oleifera seed oil (1968.83±12.62) compared to treatment with M. oleifera leaves (1935.37±8.02), but the two groups showed a significant difference (P≤0.05) compared with the control group (1820.61± 11.35). The average of feed intake was better in treatment with M. oleifera seed oil (3391.41±9.57) compared to treatment with M. oleifera leaves (3315.27±11.82) still, when compared to the control group (3137.18±14.21), the two groups had a significant difference (P≤0.05). the mortality rate was better in treatment with M. oleifera seed oil (2.5%) compared to treatment with M. oleifera leaves (5.0%), but the two groups were better than the control group (7.5%). it is concluded that the leaves and seed oil of M. oleifera are a good enhancer in improving the performance and productivity of broiler chickens.

Utilization of liquid multi-microbe probiotics supplemented urea red palm sugar block as a potential improving balance of microorganisms in digestive tract for cattle economical production

Probiotics are live microbial feed supplements, providing beneficial effects on the host animal by improving balance of microorganisms in digestive tract. This study aims to examine the benefits of liquid multi-microbe probiotic supplementation on nutrient digestibility and economical production of beef cattle. The treatments were including ration control using fresh forage of King grass (Pennisetum purpureum) + 350 g of URPS-Block without liquid probiotic supplement (T0), fresh forage of King grass (Pennisetum purpureum) + 350 g of URPS-Block + liquid probiotic supplement of 2.0 cc/liter fresh water (T1), fresh forage of King grass (Pennisetum purpureum) + 350 g of URPS-Block + liquid probiotic supplement of 4.0 cc/liter fresh water (T2) and fresh forage of King grass (Pennisetum purpureum) + 350 g of URPS-Block + liquid probiotic supplement of 6.0 cc/liter fresh water (T3). Experimental design applied the Randomized Block Design involving 24 male cattle, divided into six groups of animal ages and four liquid multi-microbe probiotic doses. Parameters were feed dried matter consumption (DMC), average daily gain (ADG), feed conversion and income over feed costs (IOFC). The data were analyzed by variance analysis continued by Duncan test. Results showed that liquid multi-microbe probiotics supplementation of 2.0 to 6.0 cc/liter fresh water and URPS-Block of 350 g/day added into forages increased significantly (P<0.05) production of cattle indicated by significant higher ADG of 510 to 570 g (P<0.05) compared with those of control ration producing ADG of 380 g. The increase of animal production was supported linearly by the increasing drinking water consumption supplemented with liquid probiotic levels of 2.0 to 6.0 cc/liter fresh water of animals. Cattle supplemented with liquid probiotic of 2.0 to 6.0 cc/liter fresh water/animal/day also produced higher IOFC, equivalent with increases of 55.67 to 80.87 percents IOFC compared with the animals fed the control ration without liquid probiotics.

Independent Music after Metallica v. Napster, Inc.: Seeking Liberation in the Music Streaming Simulacrum

Independent Music after Metallica v. Napster, Inc.: Seeking Liberation in the Music Streaming Simulacrum

Characteristics of Economic Fairness in the Music Streaming Economy: A Comparative Analysis of Current Distribution Models

This article compares current distribution models in the music streaming economy. The models presented are the pro rata model, the user-centric model (UCM), a progressive extension of the UCM and an alternative model. It focuses on a critique of the UCM as an alternative remuneration model, arguing that the UCM has the potential for economic devaluation, which can be exposed through simple logical analysis. It also provides criteria for fair remuneration in a distribution model.

A Comparative Analysis of Copyright Laws Governing Music Streaming in Zambia, Kenya, and the United States

Purpose: To evaluate the adequacy of Zambia's domestic copyright law in protecting digital songs and their creators within the context of modern music streaming platforms. Methodology: A qualitative desk research approach was employed, analyzing existing Zambian copyright legislation and comparing it to relevant laws in Kenya and the United States. Findings: The study found that Zambia's copyright law is ill-equipped to protect digital songs and their creators in the digital age. The law does not explicitly address digital music streaming, leaving artists and copyright owners vulnerable to exploitation. Furthermore, the law's ambiguity regarding digital reproduction can hinder the effective enforcement of copyright rights. Unique contribution to theory, practice and policy: This study contributes to the understanding of copyright protection challenges in developing countries, particularly in the context of digital music. Its findings and recommendations offer valuable insights for policymakers and legal professionals seeking to improve copyright frameworks in Africa.

The development of media quality in the Digital Age

AbstractThe Digital Age has revolutionized the media landscape, reshaping how consumers access and interact with content. Consumers now have access to a wide range of media content, from physical copies to digital downloads and streaming. This has led to content creators detaching from traditional publishing and self-publishing their content on platforms like Wattpad, SoundCloud, and YouTube. The Digital Age has also added more remedies to signal quality to consumers, such as online reviews and personalized recommendations. This paper aims to analyze the impact of the Digital Age on the quality of media content in three different media fields (books, music, and films and series) by conducting an online survey among 245 German-speaking internet users in May 2022. Findings reveal a significant increase in access to content creators and content availability for consumers in the Digital Age. Moreover, the Digital Age introduces mechanisms that assist consumers in evaluating content quality, mitigating the adverse selection problem. The study concludes that media content quality in the Digital Age surpasses that of the Pre-Digital Age. For an enhanced consumer experience in the field of books, media providers should reconsider their algorithms, prioritizing content over purchasing patterns. Caution is advised in reinforcing intellectual property rights, emphasizing the need for judicious application to preserve content creation incentives.

Global Leader, Local Challenges: An Overview of Streaming in India

The rise of digital technologies in the past three decades transformed how individuals and societies consume and interpret media. This digital penetration impacts almost every aspect of social life, including the form, content and affordances transnational media conglomerates offer. The post-2000 shifts from traditional broadcasting to digital streaming introduced new questions about contemporary media technologies. One such question is the significance of global media conglomerates’ localisation of technologies and texts in diverse markets such as India, where the streaming industry is expected to hit $15 billion by the decade’s end. This study, grounded in the theoretical frameworks of global media, political economy and cultural studies, attempted to enhance existing scholarship on hybridity or glocalisation, the fusion between global and local cultures, by analysing the effects of streaming in India’s rapidly digitising economy. Through textual and document analysis, the study examined the factors across content preferences, pricing policies and regulatory environment that contributed to Netflix’s struggles and the relative success of Disney+Hotstar and JioCinema in the Indian market. Investigating cultural and economic factors revealed that global media conglomerates and platforms must localise their messages, agendas and ideologies for adequate consumption, interpretation and adoption.