Audience size, moderator activity, gender, and content diversity: Exploring user participation and financial commitment on Twitch.tv

User participation has long been recognized as a cornerstone of thriving online communities. Social live-streaming service (SLSS) communities are built on a subscription-based model and rely on viewers’ participation and financial support. Using the collective effort model and heuristics of social influence, this study examines the influence of streamer and viewer behaviors on viewers’ participation and financial commitment on the SLSS, Twitch.tv. Findings from behavioral data collected over 7 weeks show larger audiences diminish individual participation and financial commitment while moderation may encourage more. Female streamers benefit from increased moderation, earning two to three times more in financial commitment compared to men, who streamed more frequently and for longer durations but attracted much smaller audiences. Viewers’ participation and financial commitment did not differ across streams with more content diversity. Our results demonstrate how group factors influence individual participation and financial commitment in newer subscription-based media.

Joint Optimization Decision of Online Retailers’ Pricing and Live-Streaming Effort in the Postepidemic Era

The isolation requirements of the coronavirus epidemic and the intuitive display advantages of live-streaming have led to an increasing number of retailers shifting to social live-streaming platforms and e-commerce live-streaming platforms to promote and sell their products in real time. However, the provision of live-streaming services will also incur high live-streaming effort costs. In this paper, we develop two decision models for retailers to sell goods through a single online shop and both online shop and live-streaming room; we also present the optimal decisions of pricing and live-streaming efforts. Furthermore, we identify the profitability conditions for retailers to determine when to provide live-streaming services. In addition, we examine the impact of the provision of live-streaming services on the optimal price and live-streaming effort. We obtain three findings. First, there is a unique optimal decision on the price and live-streaming effort under certain conditions. Second, when the effect coefficient of the live-streaming room reaches a certain threshold, there are enough customers who enter the live-streaming room to watch and buy and it is profitable for retailers to provide live-streaming service. Finally, the optimal price and live-streaming effort increase with the increase in average return loss, the effect coefficient of live-streaming effort, and the extra return rate and decrease with the increase in the proportion of customers who choose to buy in the online shop and the price discount coefficient in the live-streaming room.

KOMUNIKASI PEMASARAN LAYANAN VIDEO STREAMING DAN ON DEMAND MNC GROUP (STUDI KASUS: APLIKASI RCTI+)

Current TV and video viewing patterns have changed. Viewers were not completely fixated by broadcast hours and broadcast times. In the internet era, people can watch TV anytime and anywhere. Besides, we do not necessarily watch TV shows from the TV set but our smartphone or laptop gadget. Video streaming services are now increasingly popular in various circles because it can be accessed quickly, anytime, and anywhere. As a significant media business in Indonesia, MNC Group is widening its market presence by launching RCTI+ to gain a large share in digital advertising. To complement its already strong FTA position, RCTI+, a multi-application, including the streaming TV and Video on Demand service, is expected to be Indonesia's most extensive streaming service. How marketing communication in the digitization process since MNC Media must reach a new audience is the digital audience. This article will examine how MNC Media conducts communication marketing in the digitization process in its television business by building RCTI+ to reach its new audiences or digital audiences. This paper used the Descriptive Qualitative method, and this research collects data by interviewing the Chief Operating Officer and Dept. Head of Promotion RCTI+, conducting literature and document studies. Based on the research results, RCTI+ integrates its promotional pillars acquisition and retention, running simultaneously to harmonize its marketing communication. RCTI+ strives to build a brand and profitable relationships with customers through these two pillars to create brand equity.

‘We Pay to Buy Ourselves’: Netflix, Spectators & Streaming

This article explains how Netflix has transformed the ways in which we interact with media in the contemporary milieu. I argue that Netflix works through a process of planned differentiation, designing unique customization experiences to create a new type of media user that participates in its global and regional release and production strategies. This leads me into a discussion of how the Netflix interface manages the spectators’ experience through a series of connected features. Thus, I detail Netflix’ personalization mechanisms, proposing that, ultimately, its users ‘pay to buy themselves’, or the version of themselves its interface offers back to users upon systematically gathering data on their habits. Finally, I remark that the key characteristics of the current streaming service/spectator relationship are deceptive limitlessness, customization, the automation of content flow and ubiquity, weaving a form of audiovisual engagement that has partially and, at times completely, conquered our everyday.

Popularity-Guided Cost Optimization for Live Streaming in Mobile Edge Computing

Live streaming service usually delivers the content in mobile edge computing (MEC) to reduce the network latency and save the backhaul capacity. Considering the limited resources, it is necessary that MEC servers collaborate with each other and form an overlay to realize more efficient delivery. The critical challenge is how to optimize the topology among the servers and allocate the link capacity so that the cost will be lower with delay constraints. Previous approaches rarely consider server collaborations for live streaming service, and the scheduling delay is usually ignored in MEC, leading to suboptimal performances. In this paper, we propose a popularity-guided overlay model which takes the scheduling delay into consideration and utilizes MEC collaboration to achieve efficient live streaming service. The links and servers are shared among all channel streams and each stream is pushed from cloud servers to MEC servers via the trees. Considering the optimization problem is NP-hard, we propose an effective optimization framework called cost optimization for live streaming (COLS) to predict the channel popularity by a LSTM model with multiscale input data. Finally, we compute topology graph by greedy scheme and allocate the capacity with convex programming. Experimental results show that the proposed approach achieves higher prediction accuracy, reducing the capacity cost by more than 40% with an acceptable delay compared with state-of-the-art schemes.

Flow Sensing-Based Congestion Detection for D2D Streaming on a 5G gNB

To provide high-quality streaming services in device-to-device (D2D) communications, performance parameters such as encoding rate, decoding rate, and flow rate should be detected and monitored. The proposed algorithm provides a method to detect time streaming for traffic flows in D2D communications, and a sequence to detect rate imbalance. This paper proposes a new FS-CDA (flow sensing-based congestion detecting algorithm) to prevent high congestion rates and assist an optimized D2D streaming service in 5G-based wireless mobile networks. The proposed algorithm detects and controls flow imbalance for streaming segments during D2D communications, and it includes operations such as transmission rate monitoring, rate adjustment functions, and underflow and overflow sensing for these operations. The paper aims to effectively control traffic flow rates caused by adjacent channel bandwidth, high bit rate error, and heterogeneous radio interference, and to enhance the performance of D2D streaming services by performing such operations. The proposed algorithm for D2D streaming services is measured by deriving the individual weight of certain versions of a streaming flow. Based on the given operations, the simulation results indicated that the proposed algorithm has better performance with respect to average congestion control ratio, PSNR, and average throughput than other methods.

Construindo um modelo de streaming no Brasil?: uma breve análise do globoplay

As plataformas de streaming estão cada vez mais presentes na sociedade. Os Estudos de Plataforma indicam que devemos evitar o termo “impacto tecnológico” para descrever esse atual momento, pois vivenciamos um complexo emaranhado de algoritmos e práticas que remodelam as ações dos consumidores. Verificando a construção de um modelo de streaming no Brasil, voltamos nosso olhar para o Globoplay, uma plataforma brasileira criada pelo Grupo Globo, em 2015. Com o intuito de compreender como vem sendo inserido o modelo no país, observamos tal serviço de streaming por meio das perspectivas teóricas abordadas por Santaella (2013); Ladeira (2016); Parker, Alstyne, Choudary (2016); e d’Andréa (2020).Constructing a streaming model in brazil?: a short analysis of the globoplay platformAbstractStreaming platforms are increasingly present in society. Platform Studies indicate that we should avoid the term “technological impact” to describe this current moment, as we experience a complex tangle of algorithms and practices that reshape consumer actions. When verifying the construction of a streaming model in Brazil, we observe Globoplay, a Brazilian platform created by Grupo Globo in 2015. In order to understand how the model has been built in the country, we observe such streaming service through theoretical approaches addressed by Santaella (2013), Ladeira (2016), Parker, Alstyne, Choudary (2016) and d'Andréa (2020).Keywords: Audiovisual; streaming; platform studies; Brazil; Globoplay.

Performance Analysis of Mobile Broadband Technologies and 5G Trends and Beyond Networks in Malaysia

<p>This paper analysis and investigate the performance of Mobile Broadband (MBB) cellular networks based on the drive tests for suburban areas (at four states) in Malaysia. The data were collected from three main national Mobile Network Operators (MNOs) by using unbranded Samsung Galaxy S6 smartphone handsets, while the period of data collection was between January and February. Two MBB services were considered which are the video streaming and web browsing. For each MNO, the performance data of one MBB service was collected through one a dedicated smartphone. One smartphone was used to browse three different webpages, and One smartphone was employed to stream two YouTube videos with two different resolutions. The study considered four MBB Key Performance Indicators (KPIs), namely: latency, coverage, speed and satisfaction. As per the results, the performance of Fourth Generation (4G) is found superior than that of Third Generation (3G) networks. For instance, a vMOS score of above 3.3 was achieved by 4G networks for MBB video-streaming service, while, score of below 2.6 was attained by 3G networks across all the four studied areas. In addition, it was observed that an enhancement factor of up to 2.86 and 2.83 in download speed was presented by 4G technology in case of video streaming and web page browsing respectively as compared to 3G technology. Examining the performance of current MBB networks is supportive before the deployment of the 5G network. The efficient development of 5G networks in Malaysia can be realized through these study findings, where the existing 4G infrastructures will contribute to supporting the 5G and 6G networks.</p>

Determinants of Millennial behaviour towards current and future use of video streaming services

Purpose This study aims to investigate the evolution of factors that influence the current and future use of video streaming applications by Millennial consumers. Design/methodology/approach Combining technology acceptance, perceived values and user identity theory this study used factor analysis and multiple regression to examine data from a survey of 292 university undergraduates. Findings Millennial’s current and future use of video streaming services remains driven more by social and emotional values and their effect on identity salience with their choice of content. Ease of use, convenience and monetary value remains less of an influence currently but may become more important in the future with the continued maturity of the industry. Practical implications The results of this study suggest that video streaming service providers should be developing business models that recognize the increasing importance of emotional appeal and self-identity of their service offerings as the industry matures and competition increases. Originality/value The research is novel in addressing future video streaming service provision by examining changes in young consumer behaviour over time within a similar sample population and considering the growth and technological advancement of video streaming services. The results are significant in addressing the gap that exists in understanding whether perceived values for technology adoption of the same product or service by millennials change over time and the implications that have for product and service providers.