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- All Subjects: Social Media
Description
Nonprofits often struggle in fully implementing a successful social media strategy. These organizations neglect to create and maintain relationships with stakeholders, engage their audience, and build brand awareness in an online setting. As social media has essentially become one of the largest sources of information dissemination and one of the most populated platforms in the online world, a nonprofit's online presence has become increasingly important. Through a 22-day content analysis and 43-question survey that was distributed to the general public on Twitter and Facebook, this paper looks comprehensively into the elements and tactics used by Make-A-Wish, Halo and ALS Association. Based off of the research findings from this study, important aspects of these nonprofits' online strategy will be identified and analyzed.
ContributorsJoseph, Teresa Marie (Author) / Wu, Xu (Thesis director) / Thornton, Leslie (Committee member) / Department of Marketing (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This project is a strategic online media proposal for aBloom Salon. In order to provide the salon with a successful social media proposal, there must be an analysis of the current situation informed by secondary and primary research. aBloom in Latin means transformation; this salon specializes in holistic beauty. At this salon all the products are organic, natural and raw. They use a non-toxic ammonia-free color line and have a Raw Beauty Bar where clients can create all-natural custom products. This proposal aims to increase aBloom Salon's brand awareness in the most effective way possible. The project started by analyzing the salon's website, Facebook page and Instagram content and following-up with recommendations for improvement. In addition to that analysis, research was conducted on current clients to gage their social media habits and purpose for using social media. Salon owner, Alejandra Martinez, currently averages 20 to 30 clients a week and said she would like to increase to 25 to 35 clients a week. Martinez was promoting her salon through her website, word-of-mouth, Facebook, Yelp, Instagram and cross-promoting efforts with likeminded businesses.
ContributorsHashemian, Sepeedeh (Author) / Wu, Xu (Thesis director) / Roschke, Kristy (Committee member) / Barrett, The Honors College (Contributor) / School of Community Resources and Development (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor)
Created2015-05
Description
The purpose of this project was to establish a digital and social media presence to support a personal fitness trainer and d�TERRA essential oils wellness advocate in growing her health and wellness businesses. The first portion explores the role of digital and social media tools for health and wellness professionals. It incorporates use of both secondary and primary research methods including focus groups and in-depth interviews. The second portion is a campaign proposal that serves as a creative response to the research and findings of the first portion. The proposal includes recommendations for strategic use of new brand building and social networking tools such as a personal website, Facebook, Twitter, LinkedIn and About.Me pages. It also offers collateral material for brand outreach, social media calendars and a 10-page social media guidebook offering suggestions on how to strategically implement the campaign elements.
ContributorsNichols, Emily Jaye (Author) / Wu, Xu (Thesis director) / Roschke, Kristy (Committee member) / Barrett, The Honors College (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor)
Created2015-05
Description
Sports teams are an integral part of a city. They attract revenue to the area around the stadium and they also give a city a sense of pride. The aim of this study was to determine what makes a team successful in the area of attendance using four factors (Bernthal & Graham; Jensen; Kim, Trail & Magnusen; Edensor & Millington; Clowes & Tapp; Greenhalgh & Greenwell; Denaux & Yalcin; Paul & Weinbach & Robbins; Levin & McDonald; Lee & Kang; Drayer; L'Etang; McDonald & Rascher; Armstrong; Ross): the history of the team, the location and population of the city where the team plays, the social media following of the team and the promotional giveaways the team uses to attract fans. Using these four factors, a comparison was made among the Arizona teams and the top performing team in attendance in the respective leagues during the 2013 season. The Arizona Diamondbacks are compared with the Los Angeles Dodgers. The Diamondbacks were not as equipped as the Dodgers in any of the categories. There is a more storied history for the Dodgers, the Dodgers play in Los Angeles - a significantly larger city that Phoenix, where the Arizona Diamondbacks play, they use social media more frequently and more effectively, and they offer more promotional giveaways than the Diamondbacks. The Phoenix Suns are compared to the Chicago Bulls. The Suns history competes with the Bulls, but they lack in the other three categories. The Bulls have a better location in Chicago, their stadium is located in the downtown area; they have a massive social media following and their promotional giveaways are more substantial. The Phoenix Coyotes are compared to the Chicago Blackhawks. The Blackhawks exceeded in all of the categories, while the Coyotes were poor performers in each of the four factors. The Blackhawks have a storied history, they share a stadium with the Bulls, they have a great social media following and they give promotional items away 30 of the 41 home games. The overall recommendations for the teams are to win, in order to help build their locations and make it fun to be near the downtown area, to use social media effectively and engage with their audience, and finally to provide more promotional giveaways to attract people to the games.
ContributorsDugan, Abby Leigh (Author) / Wu, Xu (Thesis director) / Matera, Fran (Committee member) / Barrett, The Honors College (Contributor) / Hugh Downs School of Human Communication (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor)
Created2014-05
Description
This researcher set out to determine whether small businesses can achieve considerable business success by utilizing social media as a public relations tool to create a brand image. There is a substantial breadth of research regarding the social media successes of large companies, but the same is not true for small businesses. This researcher aims to add to the existing pool of literature dealing with small businesses and creating social media success. First, relevant literature was examined to determine the state of the small business landscape online and to identify best practices for social media. Then the researcher analyzed three published case studies that detailed social media campaigns from three different small businesses. The researcher used the information obtained in the literature review and case study analysis to create a comprehensive social media strategy for Crosswim, a small business based in Tempe, Arizona. The culmination of this research showed that small businesses can indeed create success and brand equity by implementing a strategic social media plan. It was uncovered that social media gives small business owners the tools to create a strategy that works best for them in terms of their business and in terms of the time the owners can devote to monitoring social media.
ContributorsHolmes, Taylor Elizabeth (Author) / Wu, Xu (Thesis director) / Thornton, Leslie (Committee member) / Department of Marketing (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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
The prevalence of bots, or automated accounts, on social media is a well-known problem. Some of the ways bots harm social media users include, but are not limited to, spreading misinformation, influencing topic discussions, and dispersing harmful links. Bots have affected the field of disaster relief on social media as well. These bots cause problems such as preventing rescuers from determining credible calls for help, spreading fake news and other malicious content, and generating large amounts of content which burdens rescuers attempting to provide aid in the aftermath of disasters. To address these problems, this research seeks to detect bots participating in disaster event related discussions and increase the recall, or number of bots removed from the network, of Twitter bot detection methods. The removal of these bots will also prevent human users from accidentally interacting with these bot accounts and being manipulated by them. To accomplish this goal, an existing bot detection classification algorithm known as BoostOR was employed. BoostOR is an ensemble learning algorithm originally modeled to increase bot detection recall in a dataset and it has the possibility to solve the social media bot dilemma where there may be several different types of bots in the data. BoostOR was first introduced as an adjustment to existing ensemble classifiers to increase recall. However, after testing the BoostOR algorithm on unobserved datasets, results showed that BoostOR does not perform as expected. This study attempts to improve the BoostOR algorithm by comparing it with a baseline classification algorithm, AdaBoost, and then discussing the intentional differences between the two. Additionally, this study presents the main factors which contribute to the shortcomings of the BoostOR algorithm and proposes a solution to improve it. These recommendations should ensure that the BoostOR algorithm can be applied to new and unobserved datasets in the future.
ContributorsDavis, Matthew William (Author) / Liu, Huan (Thesis director) / Nazer, Tahora H. (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Organ, cornea and tissue donation is a widespread public health need that has high rates of public approval, but lower rates of action. In Arizona, an individual can register as an organ donor at 15 years and six months old, and this ever-growing demographic is a hard-to-influence, yet important part of the pool of registered donors. There are many factors that serve to influence or dissuade adolescents from registering, and it is the duty of organ procurement organizations (OPOs) and others involved in the donation process to appeal to this audience. This undergraduate research project explores the overall idea of what makes someone register as an organ, cornea and tissue donor by looking into several factors of the decision-making process, such as social media usage and engagement, hesitation or support surrounding spiritual beliefs, and how personal opinions and beliefs shape views and action toward organ donation. Based on the data collected, the researcher found relationships between the registration status of adolescents and their social media use, spiritual beliefs and personal relationships and opinions.
ContributorsReddy, Miranda Adelyn (Author) / Wu, Xu (Thesis director) / Bovio, Sonia (Committee member) / Department of Marketing (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / School of Community Resources and Development (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Social media has become a direct and effective means of transmitting personal opinions into the cyberspace. The use of certain key-words and their connotations in tweets portray a meaning that goes beyond the screen and affects behavior. During terror attacks or worldwide crises, people turn to social media as a means of managing their anxiety, a mechanism of Terror Management Theory (TMT). These opinions have distinct impacts on the emotions that people express both online and offline through both positive and negative sentiments. This paper focuses on using sentiment analysis on twitter hash-tags during five major terrorist attacks that created a significant response on social media, which collectively show the effects that 140-character tweets have on perceptions in social media. The purpose of analyzing the sentiments of tweets after terror attacks allows for the visualization of the effect of key-words and the possibility of manipulation by the use of emotional contagion. Through sentiment analysis, positive, negative and neutral emotions were portrayed in the tweets. The keywords detected also portray characteristics about terror attacks which would allow for future analysis and predictions in regards to propagating a specific emotion on social media during future crisis.
ContributorsHarikumar, Swathikrishna (Author) / Davulcu, Hasan (Thesis director) / Bodford, Jessica (Committee member) / Computer Science and Engineering Program (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Social media users are inundated with information. Especially on Instagram--a social media service based on sharing photos--where for many users, missing important posts is a common issue. By creating a recommendation system which learns each user's preference and gives them a curated list of posts, the information overload issue can be mediated in order to enhance the user experience for Instagram users. This paper explores methods for creating such a recommendation system. The proposed method employs a learning model called ``Factorization Machines" which combines the advantages of linear models and latent factor models. In this work I derived features from Instagram post data, including the image, social data about the post, and information about the user who created the post. I also collect user-post interaction data describing which users ``liked" which posts, and this was used in models leveraging latent factors. The proposed model successfully improves the rate of interesting content seen by the user by anywhere from 2 to 12 times.
ContributorsFakhri, Kian (Author) / Liu, Huan (Thesis director) / Morstatter, Fred (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12