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"No civil discourse, no cooperation; misinformation, mistruth." These were the words of former Facebook Vice President Chamath Palihapitiya who publicly expressed his regret in a 2017 interview over his role in co-creating Facebook. Palihapitiya shared that social media is ripping apart the social fabric of society and he also sounded

"No civil discourse, no cooperation; misinformation, mistruth." These were the words of former Facebook Vice President Chamath Palihapitiya who publicly expressed his regret in a 2017 interview over his role in co-creating Facebook. Palihapitiya shared that social media is ripping apart the social fabric of society and he also sounded the alarm regarding social media’s unavoidable global impact. He is only one of social media’s countless critics. The more disturbing issue resides in the empirical evidence supporting such notions. At least 95% of adolescents own a smartphone and spend an average time of two to four hours a day on social media. Moreover, 91% of 16-24-year-olds use social media, yet youth rate Instagram, Facebook, and Twitter as the worst social media platforms. However, the social, clinical, and neurodevelopment ramifications of using social media regularly are only beginning to emerge in research. Early research findings show that social media platforms trigger anxiety, depression, low self-esteem, and other negative mental health effects. These negative mental health symptoms are commonly reported by individuals from of 18-25-years old, a unique period of human development known as emerging adulthood. Although emerging adulthood is characterized by identity exploration, unbounded optimism, and freedom from most responsibilities, it also serves as a high-risk period for the onset of most psychological disorders. Despite social media’s adverse impacts, it retains its utility as it facilitates identity exploration and virtual socialization for emerging adults. Investigating the “user-centered” design and neuroscience underlying social media platforms can help reveal, and potentially mitigate, the onset of negative mental health consequences among emerging adults. Effectively deconstructing the Facebook, Twitter, and Instagram (i.e., hereafter referred to as “The Big Three”) will require an extensive analysis into common features across platforms. A few examples of these design features include: like and reaction counters, perpetual news feeds, and omnipresent banners and notifications surrounding the user’s viewport. Such social media features are inherently designed to stimulate specific neurotransmitters and hormones such as dopamine, serotonin, and cortisol. Identifying such predacious social media features that unknowingly manipulate and highjack emerging adults’ brain chemistry will serve as a first step in mitigating the negative mental health effects of today’s social media platforms. A second concrete step will involve altering or eliminating said features by creating a social media platform that supports and even enhances mental well-being.

ContributorsGupta, Anay (Author) / Flores, Valerie (Thesis director) / Carrasquilla, Christina (Committee member) / Barnett, Jessica (Committee member) / The Sidney Poitier New American Film School (Contributor) / Computer Science and Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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The role of technology in shaping modern society has become increasingly important in the context of current democratic politics, especially when examined through the lens of social media. Twitter is a prominent social media platform used as a political medium, contributing to political movements such as #OccupyWallStreet, #MeToo, and

The role of technology in shaping modern society has become increasingly important in the context of current democratic politics, especially when examined through the lens of social media. Twitter is a prominent social media platform used as a political medium, contributing to political movements such as #OccupyWallStreet, #MeToo, and #BlackLivesMatter. Using the #BlackLivesMatter movement as an illustrative case to establish patterns in Twitter usage, this thesis aims to answer the question “to what extent is Twitter an accurate representation of “real life” in terms of performative activism and user engagement?” The discussion of Twitter is contextualized by research on Twitter’s use in politics, both as a mobilizing force and potential to divide and mislead. Using intervals of time between 2014 – 2020, Twitter data containing #BlackLivesMatter is collected and analyzed. The discussion of findings centers around the role of performative activism in social mobilization on twitter. The analysis shows patterns in the data that indicates performative activism can skew the real picture of civic engagement, which can impact the way in which public opinion affects future public policy and mobilization.

ContributorsTutelman, Laura (Author) / Voorhees, Matthew (Thesis director) / Kawski, Matthias (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Attending a university is a stressful transition for many students leaving their respective support systems. Many universities attempt to mitigate this stress by offering numerous campus resources such as, tutoring services, counseling services, and health services. However, research has shown that many of these resources are under utilized by the

Attending a university is a stressful transition for many students leaving their respective support systems. Many universities attempt to mitigate this stress by offering numerous campus resources such as, tutoring services, counseling services, and health services. However, research has shown that many of these resources are under utilized by the general student population because of barriers that include student perception, awareness, and access. Being able to understand these barriers that lead to the under utilization of campus resources can assist with creating resources that are more visible, engaging, and attractive to student populations on many campuses. The question being asked is: how to create an engaging health resource that is attractive, visible, and accessible to students?

Based on research analyzed on the barriers between students and campus resources, the optimization of student outreach, and marketing strategies directed towards students, the creation of a student-led campus health resource followed. Analysis of this research showcased that the medium in which students resources were promoted, and the framework of the resource have an impact on students' awareness of the resource, attractiveness of the student resource, and student resource engagement. Based on these analyses and results, the creation of HealthU occurred to provide a visible, engaging, and attractive student resource to the Arizona State University student body.
ContributorsAlcazar, Ivan (Co-author) / Mora, Leslie (Co-author) / Freeman, Javon (Co-author) / Byrne, Jared (Thesis director) / Sebold, Brent (Committee member) / Department of Information Systems (Contributor) / School of Politics and Global Studies (Contributor) / Dean, W.P. Carey School of Business (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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Everyone has a story to tell. Marketing nowadays is less about what is being made and more about how it is being told. Integrate an exciting or interesting story with sports and that is the ultimate storytelling experience. Social media has completely changed the game for professional teams when it

Everyone has a story to tell. Marketing nowadays is less about what is being made and more about how it is being told. Integrate an exciting or interesting story with sports and that is the ultimate storytelling experience. Social media has completely changed the game for professional teams when it comes to how teams are telling their digital stories and engaging with fans. Entire social media teams exist in these organizations, which is something that did not exist not too long ago. The rise in fans experiencing and viewing social media platforms is altering how teams engage, connect, and communicate with fans.

When it comes to my story, I wanted to make sure I told one that was interesting, relevant and worthwhile. I felt lost for quite some time in regards to what direction I wanted to take with my thesis. After meeting with Dan Moriarty and Kevin Brilliant of the Chicago Bulls during an outreach trip with the Sports Business Association, I knew I wanted to gain more insight into how teams are telling their digital stories and connecting with their fans. I wanted to learn more about how teams across the country are playing the game of social media and what strategies they put into place to be impactful and successful. I wanted to learn the value teams found in social media and how social media impacts the organizations as a whole, specifically in revenue generation. Most importantly, I wanted to learn how teams are engaging with fans and how social media has changed the world of sports. This research includes insights from various individuals in the industry as well as survey data from W. P. Carey students. The accumulation of this thesis has resulted in a closer look into social media in the sports industry and how teams are measuring success in the digital space.
ContributorsMaguire, Allison Marie (Author) / Eaton, John (Thesis director) / Mokwa, Michael (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Breakin Media is a social media consulting agency that targets small business owners (comedians) specifically in the Baby Boomer, Generation X, and Older Millennial category. Comedians, specifically, who are auditioning for shows or going to comedy clubs, may not be seeing the same level of success as another comedian who

Breakin Media is a social media consulting agency that targets small business owners (comedians) specifically in the Baby Boomer, Generation X, and Older Millennial category. Comedians, specifically, who are auditioning for shows or going to comedy clubs, may not be seeing the same level of success as another comedian who has a large social media following. This is true for most industries. Small businesses who do not have social media have lower rates of customer satisfaction and revenue. This business is about educating, analyzing, and building business owners so they too can feel part of the social media revolution.
This business uses research and data from different social media comedians in order to create a guide for comedians who own comedy clubs or are trying to break into show business. This thesis includes the logistics of starting a business. It will outline the financing and pricing of a service like this for individuals and businesses. This also outlines the generational stigma of social media, and the difficulties an older generation is currently facing when wanting to expand their business into social media.

The Breakin Media business model assesses each client on a set of five pillars, which have been found by research to affect follower count. The five pillars are relatability, targeted marketing, consistency, high-quality content, and algorithm alignment. Each pillar is dissected and used to increase the exposure of every comedian. There is a 3 tier system for pricing that outlines the costs of each service, and an infographic to guide each client. This thesis is about bridging a gap in generations, and increasing success for small businesses, specifically in theatre and comedy.
ContributorsVazquez, Margot (Author) / Bruhn, Karen (Thesis director) / Heinzmann, Sandra (Committee member) / Department of Marketing (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-12
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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

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
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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

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

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
Description

Winners Circle is a collaborative application that allows friends, family members, and peers to communicate with each other about sports news and friendly wagers on teams and players. Through research and trial and error, a mock app was created by the team that combines breakout rooms that mimic a social

Winners Circle is a collaborative application that allows friends, family members, and peers to communicate with each other about sports news and friendly wagers on teams and players. Through research and trial and error, a mock app was created by the team that combines breakout rooms that mimic a social media platform where users can identify news, scores, and perceptions of the outcome of games from other sports fans.

ContributorsMauri, Angelo (Author) / Poremba, Charles (Co-author) / Kenehan, Nick (Co-author) / Sklar, Jack (Co-author) / Byrne, Jared (Thesis director) / Swader, Melissa (Committee member) / Barrett, The Honors College (Contributor) / College of Integrative Sciences and Arts (Contributor)
Created2023-05
Description

The Winner's Circle aims to provide a digital platform for sports fans and betting addicts, in hopes to help centralize various forms of social communication between family, close friends, and strangers alike. As the legalization of sports related gambling activities become more widespread throughout the United States as well as

The Winner's Circle aims to provide a digital platform for sports fans and betting addicts, in hopes to help centralize various forms of social communication between family, close friends, and strangers alike. As the legalization of sports related gambling activities become more widespread throughout the United States as well as the rest of the world, our platform has to potential to connect millions of like-minded, adrenaline-seeking fans across the globe.

ContributorsPoremba, Charles (Author) / Sklar, Jack (Co-author) / Mauri, Angelo (Co-author) / Kenehan, Nicholas (Co-author) / Byrne, Jared (Thesis director) / Swader, Melissa (Committee member) / Smith, Keaton (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Department of Management and Entrepreneurship (Contributor)
Created2023-05