Matching Items (330)
Filtering by
- All Subjects: Social Media
- All Subjects: Computer Science
- Creators: Barrett, The Honors College
Description
Adam Simons is an Interdisciplinary Studies major at Arizona State University with concentrations in business and music. He is also a member of the alternative rock group RadioDriveBy. RadioDriveBy is a five-piece band based in Arizona that writes, professionally records, and performs its own original songs. This thesis contains a narrative of the planning, execution, and analysis of two albums released by RadioDriveBy. Through his experience and research in managing multiple releases, Simons covers the critical factors for artists to consider when marketing music in today's changing industry. The author divides an album release into five critical components: original music, release structure, artist image, accessibility and availability, and online promotion. This method of analysis develops manageable steps for artists to succeed in the modern music industry. Overall, this thesis is a model and creative project to help understand not only the behind-the-scenes work of RadioDriveBy, but also to provide a framework for other musicians and artists navigating the same path.
ContributorsSimons, Adam North (Author) / Olsen, Douglas (Thesis director) / Conz, David (Committee member) / Stevens, Nancy (Committee member) / Barrett, The Honors College (Contributor) / School of Letters and Sciences (Contributor) / Hugh Downs School of Human Communication (Contributor)
Created2013-05
Description
Due to its difficult nature, organic chemistry is receiving much research attention across the nation to develop more efficient and effective means to teach it. As part of that, Dr. Ian Gould at ASU is developing an online organic chemistry educational website that provides help to students, adapts to their responses, and collects data about their performance. This thesis creative project addresses the design and implementation of an input parser for organic chemistry reagent questions, to appear on his website. After students used the form to submit questions throughout the Spring 2013 semester in Dr. Gould's organic chemistry class, the data gathered from their usage was analyzed, and feedback was collected. The feedback obtained from students was positive, and suggested that the input parser accomplished the educational goals that it sought to meet.
ContributorsBeerman, Eric Christopher (Author) / Gould, Ian (Thesis director) / Wilkerson, Kelly (Committee member) / Mosca, Vince (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-05
Description
Polar ice masses can be valuable indicators of trends in global climate. In an effort to better understand the dynamics of Arctic ice, this project analyzes sea ice concentration anomaly data collected over gridded regions (cells) and builds graphs based upon high correlations between cells. These graphs offer the opportunity to use metrics such as clustering coefficients and connected components to isolate representative trends in ice masses. Based upon this analysis, the structure of sea ice graphs differs at a statistically significant level from random graphs, and several regions show erratically decreasing trends in sea ice concentration.
ContributorsWallace-Patterson, Chloe Rae (Author) / Syrotiuk, Violet (Thesis director) / Colbourn, Charles (Committee member) / Montgomery, Douglas (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-05
ContributorsShah, Beejal (Author) / Nakamura, Mutsumi (Thesis director) / Balasooriya, Janaka (Committee member) / Wilkerson, Kelly (Committee member) / Ira A. Fulton School of Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2012-12
Description
Social media is changing the way journalists operate; their use of Twitter is potentially representational of that change. Because of Twitter, journalists can connect to stories, sources, and audiences in ways they never could before. Because this is an evolving practice, role models can be difficult to find, which presents a problem for journalism students. In broadcast journalism, the challenge is even more pronounced when it comes to finding women exemplars for female students; female students are more likely to relate to female role models.This study, using in-depth interviews and textual analysis, examines how Twitter is being used by four prominent journalists in one competitive market. The Twitter feeds of four female TV news anchors in Phoenix, Arizona, the 12th largest broadcast market in the United States, are explored in terms of content and practice. The results show that they used Twitter daily and for more than just tweeting out the day's news, suggesting that Twitter has become a standard journalistic tool and a practice worth emulating.
ContributorsMolina, Tara Lea (Author) / Lodato, Mark (Thesis director) / Thornton, Leslie (Committee member) / Barrett, The Honors College (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor)
Created2014-05
Description
Twitter has become a very popular social media site that is used daily by many people and organizations. This paper will focus on the financial aspect of Twitter, as a process will be shown to be able to mine data about specific companies' stock prices. This was done by writing a program to grab tweets about the stocks of the thirty companies in the Dow Jones.
ContributorsLarson, Grant Elliott (Author) / Davulcu, Hasan (Thesis director) / Ye, Jieping (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2014-05
Description
Social media has quickly become a dominant tool for businesses across all sectors due to its two-way communication capabilities. Previous research has suggested that companies, particularly the hospitality and travel industry, should be engaging in authentic dialogue with its audience members, be using vibrant imagery and be monitoring and promoting user-generated content and electronic-word-of-mouth. These elements were observed for six luxury hotels and resorts in the Southwestern United States over the course of a month on Facebook, Twitter and TripAdvisor. In addition, three two-part electronic-questionnaires were administered to three of the six luxury hotels and resorts to determine industry perspectives on these subjects and to serve as a comparison of social media tactics in this sector. There were social media differences and similarities based on the location and size of the hotel. Facebook was comprised of 42 percent advertising and used large amounts of imagery to promote the properties. There was very little user-generated content and word-of-mouth. Twitter was comprised of 31 percent dialogue and 22 percent user-generated content. Five of the six properties responded to reviews on TripAdvisor. Three crisis responses via social media were also observed. Later research may choose to include more analytic-based research and examine other social media platforms.
ContributorsWininger, Emily Renee (Author) / Wu, Xu (Thesis director) / Ostrom, Amy (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / School of Social Transformation (Contributor)
Created2014-05
Description
This work explores the development of a visual analytics tool for geodemographic exploration in an online environment. We mine 78 million records from the United States white pages, link the location data to demographic data (specifically income) from the United States Census Bureau, and allow users to interactively compare distributions of names with regards to spatial location similarity and income. In order to enable interactive similarity exploration, we explore methods of pre-processing the data as well as on-the-fly lookups. As data becomes larger and more complex, the development of appropriate data storage and analytics solutions has become even more critical when enabling online visualization. We discuss problems faced in implementation, design decisions and directions for future work.
ContributorsIbarra, Jose Luis (Author) / Maciejewski, Ross (Thesis director) / Mack, Elizabeth (Committee member) / Longley, Paul (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2014-05
Description
This paper presents an overview of The Dyadic Interaction Assistant for Individuals with Visual Impairments with a focus on the software component. The system is designed to communicate facial information (facial Action Units, facial expressions, and facial features) to an individual with visual impairments in a dyadic interaction between two people sitting across from each other. Comprised of (1) a webcam, (2) software, and (3) a haptic device, the system can also be described as a series of input, processing, and output stages, respectively. The processing stage of the system builds on the open source FaceTracker software and the application Computer Expression Recognition Toolbox (CERT). While these two sources provide the facial data, the program developed through the IDE Qt Creator and several AppleScripts are used to adapt the information to a Graphical User Interface (GUI) and output the data to a comma-separated values (CSV) file. It is the first software to convey all 3 types of facial information at once in real-time. Future work includes testing and evaluating the quality of the software with human subjects (both sighted and blind/low vision), integrating the haptic device to complete the system, and evaluating the entire system with human subjects (sighted and blind/low vision).
ContributorsBrzezinski, Chelsea Victoria (Author) / Balasubramanian, Vineeth (Thesis director) / McDaniel, Troy (Committee member) / Venkateswara, Hemanth (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-05
Description
In 2012, Chick-fil-A president Dan Cathy's "came out" about his anti-same sex marriage views, launching an enormous negative backlash across social media networks. To counteract this, former governor Mike Huckabee called on his Facebook fans to support the company on "Chick-fil-A Appreciation Day," both on Facebook and in person. The project examines both the backlash and Appreciation Day on social media networks. Posts on the Appreciation Day Facebook event page and similar posts on Twitter were first broken down in the framework of supportive and oppositional posts and then analyzed in further contexts. Comments on official Chick-fil-A Facebook statuses were then examined in a similar fashion. The research concludes that a strong support system both online and offline were necessary for Chick-fil-A to recover from its backlash. The controversy that ensued is ultimately a case study in the growing influence of Facebook as a tool for small-scale activism.
ContributorsKuiland, Zachary Rico (Author) / Cheong, Pauline (Thesis director) / Szeli, Eva (Committee member) / Lim, Merlyna (Committee member) / Barrett, The Honors College (Contributor) / School of Criminology and Criminal Justice (Contributor) / Department of Psychology (Contributor)
Created2013-05