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Description
Television is currently in a changing state. There is no longer a singular broadcast format for series to follow. Streaming websites such as Netflix, Hulu, and Amazon Prime now release series in their entirety; this is known as a full-season release (FSR). Viewers are now able to act independently and

Television is currently in a changing state. There is no longer a singular broadcast format for series to follow. Streaming websites such as Netflix, Hulu, and Amazon Prime now release series in their entirety; this is known as a full-season release (FSR). Viewers are now able to act independently and determine the pace they wish to watch a new FSR series. This not only affects how fans engage in social television discussions on social media, but also changes the previously proposed viewer engagement model. Whereas previous research suggests that fans follow a static linear engagement model consisting of pre-communication, parallel communication, and post communication phases, fans are now able to move freely through viewer engagement phases. This creates a new type of engagement model: The Atomized Engagement Model. As fans move freely through the atomized engagement phases, they choose social media platforms to engage in fandom discussion. Research suggests that although there are distinct types of posts that occur in relation to social television discussions, the platforms used have a direct effect on the content and length of the post.
Created2018-05
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Description
The business models of the music industry are currently experiencing rapid changes. Services such as Spotify, SoundCloud, and Pandora offer methods of consuming music unlike any the industry has seen before. Consumers have shifted from wanting products (digital music and CDs) to using streaming services (Spotify, Pandora, etc.). This study

The business models of the music industry are currently experiencing rapid changes. Services such as Spotify, SoundCloud, and Pandora offer methods of consuming music unlike any the industry has seen before. Consumers have shifted from wanting products (digital music and CDs) to using streaming services (Spotify, Pandora, etc.). This study analyzes the motivation for these changes and considers why people choose the avenues by which they experience music.
ContributorsDugan, Emma (Co-author) / Foley, Meghan (Co-author) / Bhattacharjya, Nilanjana (Thesis director) / Ingram-Waters, Mary (Committee member) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor) / WPC Graduate Programs (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / W. P. Carey School of Business (Contributor)
Created2015-05
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Description

Music streaming services have affected the music industry from both a financial and legal standpoint. Their current business model affects stakeholders such as artists, users, and investors. These services have been scrutinized recently for their imperfect royalty distribution model. Covid-19 has made these discussions even more relevant as touring income

Music streaming services have affected the music industry from both a financial and legal standpoint. Their current business model affects stakeholders such as artists, users, and investors. These services have been scrutinized recently for their imperfect royalty distribution model. Covid-19 has made these discussions even more relevant as touring income has come to a halt for musicians and the live entertainment industry. <br/>Under the current per-stream model, it is becoming exceedingly hard for artists to make a living off of streams. This forces artists to tour heavily as well as cut corners to create what is essentially “disposable art”. Rapidly releasing multiple projects a year has become the norm for many modern artists. This paper will examine the licensing framework, royalty payout issues, and propose a solution.

ContributorsKoudssi, Zakaria Corley (Author) / Sadusky, Brian (Thesis director) / Koretz, Lora (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Esports streaming has become an entertainment giant and promises to continue to grow in the coming years. Streaming platforms, such as Twitch and Youtube, have become a haven for community and competition, blending the two into a novel form of interaction that fuels business. This study will analyze how the

Esports streaming has become an entertainment giant and promises to continue to grow in the coming years. Streaming platforms, such as Twitch and Youtube, have become a haven for community and competition, blending the two into a novel form of interaction that fuels business. This study will analyze how the streaming of esports has influenced business in the technological realm of electronic games and contributed to the field’s longevity. It questions how we, as a society, view community in the online world which itself has become a site for the expansion of how people interact. The study also incorporates the idea of business into the market of technological electronic game-based communities and how competition through esports has also been a fuel for both. Through literature analysis and data collection, the goal of this research would be to increase knowledge on the understanding of streaming esports and help predict what foundation it might take as a whole later on.
ContributorsLatimer, Travis D (Author) / Ingram-Waters, Mary (Thesis director) / Pierce, John (Committee member) / Computer Science and Engineering Program (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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Description

The esports scene has been constantly evolving ever since its inception in the early 1970s, growing from small arcade based tournaments to the multibillion dollar industry that can be observed today (Bountie Gaming, 2018). In fact, the term esports was not widely used until the early 2000s, decades after the

The esports scene has been constantly evolving ever since its inception in the early 1970s, growing from small arcade based tournaments to the multibillion dollar industry that can be observed today (Bountie Gaming, 2018). In fact, the term esports was not widely used until the early 2000s, decades after the first gaming tournaments had taken place. Decades prior, the earliest large-scale gaming tournament was hosted by Atari in 1980 for the game ​Space Invaders ​ . While still primitive by today’s standards, games such as ​Space Invaders ​ inspired fierce competition and effectively laid the foundation for what would grow into the booming industry that we see today (Edwards, 2013).

ContributorsCollins, Neil Andrew (Author) / Mendez, Jose (Thesis director) / Foster, William (Thesis director) / Pierce, John (Committee member) / Department of Economics (Contributor) / WPC Graduate Programs (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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Description
Although Spotify’s extensive library of songs are often seen broken up by “Top 100” and main lyrical genres, these categories are primarily based on popularity, artist and general mood alone. If a user wanted to create a playlist based on specific or situationally specific qualifiers from their own downloaded library,

Although Spotify’s extensive library of songs are often seen broken up by “Top 100” and main lyrical genres, these categories are primarily based on popularity, artist and general mood alone. If a user wanted to create a playlist based on specific or situationally specific qualifiers from their own downloaded library, he/she would have to hand pick songs that fit the mold and create a new playlist. This is a time consuming process that may not produce the most efficient result due to human error. The objective of this project, therefore, was to develop an application to streamline this process, optimize efficiency, and fill this user need.

Song Sift is an application built using Angular that allows users to filter and sort their song library to create specific playlists using the Spotify Web API. Utilizing the audio feature data that Spotify attaches to every song in their library, users can filter their downloaded Spotify songs based on four main attributes: (1) energy (how energetic a song sounds), (2) danceability (how danceable a song is), (3) valence (how happy a song sounds), and (4) loudness (average volume of a song). Once the user has created a playlist that fits their desired genre, he/she can easily export it to their Spotify account with the click of a button.
ContributorsDiMuro, Louis (Author) / Balasooriya, Janaka (Thesis director) / Chen, Yinong (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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Description

With the recent focus of attention towards remote work and mobile computing, the possibility of taking a powerful workstation wherever needed is enticing. However, even emerging laptops today struggle to compete with desktops in terms of cost, maintenance, and future upgrades. The price point of a powerful laptop is considerably

With the recent focus of attention towards remote work and mobile computing, the possibility of taking a powerful workstation wherever needed is enticing. However, even emerging laptops today struggle to compete with desktops in terms of cost, maintenance, and future upgrades. The price point of a powerful laptop is considerably higher compared to an equally powerful desktop computer, and most laptops are manufactured in a way that makes upgrading parts of the machine difficult or impossible, forcing a complete purchase in the event of failure or a component needing an upgrade. In the case where someone already owns a desktop computer and must be mobile, instead of needing to purchase a second device at full price, it may be possible to develop a low-cost computer that has just enough power to connect to the existing desktop and run all processing there, using the mobile device only as a user interface. This thesis will explore the development of a custom PCB that utilizes a Raspberry Pi Computer Module 4, as well as the development of a fork of the Open Source project Moonlight to stream a host machine's screen to a remote client. This implementation will be compared against other existing remote desktop solutions to analyze it's performance and quality.

ContributorsLathrum, Dylan (Author) / Heinrichs, Robert (Thesis director) / Acuna, Ruben (Committee member) / Jordan, Shawn (Committee member) / Barrett, The Honors College (Contributor) / Software Engineering (Contributor)
Created2022-05
Description

Anthemy is a web app that I created so that Spotify users could connect with other uses and see their listening statistics. The app has a chat feature that matches concurrent users based on a variety of search criteria, as well as a statistics page that contains a breakdown of

Anthemy is a web app that I created so that Spotify users could connect with other uses and see their listening statistics. The app has a chat feature that matches concurrent users based on a variety of search criteria, as well as a statistics page that contains a breakdown of a user's top artists, songs, albums, and genres as well as a detailed breakdown of each of their liked playlists.

ContributorsJackman, Benjamin (Author) / Roumina, Kavous (Thesis director) / Mazzola, Daniel (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor)
Created2021-12
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ContributorsJackman, Benjamin (Author) / Roumina, Kavous (Thesis director) / Mazzola, Daniel (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor)
Created2021-12
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ContributorsJackman, Benjamin (Author) / Roumina, Kavous (Thesis director) / Mazzola, Daniel (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor)
Created2021-12