Music on YouTube: User engagement with traditional, user-appropriated and derivative videos

Liikkanen, Lassi A.; Salovaara, Antti

doi:10.1016/j.chb.2015.01.067

Cited by 92 publications

(72 citation statements)

References 17 publications

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“…RSs are widely used in what we referred to as Bcontent intensive applications^, characterized by a very large amount of online multimedia information, either made available by the service provider or user generated (think of the 3 billion videos uploaded on YouTube by late 2012 [57] or the 20 million songs on Spotify [66]). In these contexts, the dimension of the multimedia search space and the availability of an enormous set of choices may slow down the user's exploration, reduce the visibility of some potentially interesting items, and increase the complexity of the decision making process [8,28,29,59,71,79].…”

Section: Introductionmentioning

confidence: 99%

User interface patterns in recommendation-empowered content intensive multimedia applications

Cremonesi

Elahi

Garzotto

2016

Multimed Tools Appl

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Design Patterns (DPs) are acknowledged as powerful conceptual tools to improve design quality and to reduce time and cost of the development process by effect of the reuse of Bgood^design solutions. In many fields (e.g., software engineering, web engineering, interface design) patterns are widely used by practitioners and are also investigated from a research perspective. Still, they have been seldom explored in the arena of Recommender Systems (RSs). RSs provide suggestions (Brecommendations^) for items that are likely to be appropriate for the user profile, and are increasingly adopted in content-intensive multimedia applications to complement traditional forms of search in large information spaces. This paper explores RSs through the lens of User Interface (UI) Design Patterns. We have performed a systematic analysis of 54 recommendation-empowered content-intensive multimedia applications, in order to: (i) discover the occurrences of existing domain independent UI patterns; (ii) identify frequently adopted UI solutions that are not modelled by existing patterns, and define a set of new UI patterns, some of which are specific of the interfaces for recommendation features while others can be useful also in a broader context. The results of our inspection have been discussed with and evaluated by a team of experts, leading to a consolidated set of 14 new patterns that are reported in the paper. Reusing pattern-based design solutions instead of building new solutions from scratch enables novice and expert designers to build good UIs for Recommendation-empowered content intensive multimedia applications more effectively, and ultimately can improve the UX experience in this class of systems. From a broader perspective, Multimed Tools Appl

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Section: Introductionmentioning

confidence: 99%

User interface patterns in recommendation-empowered content intensive multimedia applications

Cremonesi

Elahi

Garzotto

2016

Multimed Tools Appl

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“…Therefore the spread of technological knowledge has created a wide variety of different YouTube communities, which are intertwined with other groups. Members of these user groups are likely to produce the same type of content (Liikkanen & Salovaara, 2015), but at the same time they try to differ from their peers through self-presentation to gain popularity (Hou, 2018). This learning process develops an array of technical formats and discursive genres which, we hypothesise, correlate with specific topics.…”

Section: Literature Overviewmentioning

confidence: 99%

The food chain of YouTubers: engaging audiences with formats and genres

Himma-Kadakas¹,

Rajavee²,

Orgmets³

et al. 2018

(OBS*)

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Traditional news media are not engaging young audiences and there has been a decline in the number of consumers of traditional media. The main news sources for teenagers in Europe and North-America are social media and friends. Our research project outlines YouTubers' content production strategies in order to apply them in conventional news content production to attract young audiences. In this study we profiled the top YouTubers in the world, in Europe and in Estonia based on their profiles, networks, topics, genres and formats. We developed a model of analysis based on the uses and gratifications approach by Katz et al. (1974), andMcQuail (2000). This framework was used in the standardised content analysis of YouTube videos. The results present the "food chain" of different levels of YouTubers; the "food chain" refers to the copying of innovative ideas from less experienced peers, while promoting their content. The food chain also shows how most popular YouTubers generate new production practices and discursive genres. There are noticeable variations in the diversity of genres and formats between different levels of YouTubers. Diversity of content is important for sustaining and increasing audiences. YouTubers utilise specific combinations of genres and formats for certain topics across levels of the food chain. This makes it possible to develop a typology of techniques that YouTubers use to engage audiences.

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“…Less has been written about legal online music sharing, although Lu (2015) proposed a technology-based music sharing system as a solution for copyright enforcement. Music streaming services such as Spotify, YouTube, and Pandora (Cesareo & Pastore, 2014;Hagen, 2015;Liikkanen & Salovaara, 2015;Nguyen, Dejean, & Moreau, 2014;Richardson, 2014;Swanson, 2013) can be used as a kind of legal online music sharing. In analyzing YouTube, Liikkanen noted that music-related queries are the most widely viewed type of YouTube search.…”

Section: Music User Behaviormentioning

confidence: 99%

Understanding users of cloud music services: Selection factors, management and access behavior, and perceptions

Lee

Wishkoski

Aase

et al. 2016

Asso for Info Science & Tech

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Recent, rapid changes in technology have resulted in a proliferation of choices for music storage and access. Portable, web‐enabled music devices are widespread, and listeners now enjoy a plethora of options regarding formats, devices, and access methods. Yet in this mobile music environment, listeners' access and management strategies for music collections are poorly understood, because behaviors surrounding the organization and retrieval of music collections have received little formal study. Our current research seeks to enrich our knowledge of people's music listening and collecting behavior through a series of systematic user studies. In this paper we present our findings from interviews involving 20 adult and 20 teen users of commercial cloud music services. Our results contribute to theoretical understandings of users' music information behavior in a time of upheaval in music usage patterns, and more generally, the purposes and meanings users ascribe to personal media collections in cloud‐based systems. The findings suggest improvements to the future design of cloud‐based music services, as well as to any information systems and services designed for personal media collections, benefiting both commercial entities and listeners.

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Music on YouTube: User engagement with traditional, user-appropriated and derivative videos

Cited by 92 publications

References 17 publications

User interface patterns in recommendation-empowered content intensive multimedia applications

User interface patterns in recommendation-empowered content intensive multimedia applications

The food chain of YouTubers: engaging audiences with formats and genres

Understanding users of cloud music services: Selection factors, management and access behavior, and perceptions

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