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This thesis deals with the analysis of interpersonal communication dynamics in online social networks and social media. Our central hypothesis is that communication dynamics between individuals manifest themselves via three key aspects: the information that is the content of communication, the social engagement i.e. the sociological framework emergent of the

This thesis deals with the analysis of interpersonal communication dynamics in online social networks and social media. Our central hypothesis is that communication dynamics between individuals manifest themselves via three key aspects: the information that is the content of communication, the social engagement i.e. the sociological framework emergent of the communication process, and the channel i.e. the media via which communication takes place. Communication dynamics have been of interest to researchers from multi-faceted domains over the past several decades. However, today we are faced with several modern capabilities encompassing a host of social media websites. These sites feature variegated interactional affordances, ranging from blogging, micro-blogging, sharing media elements as well as a rich set of social actions such as tagging, voting, commenting and so on. Consequently, these communication tools have begun to redefine the ways in which we exchange information, our modes of social engagement, and mechanisms of how the media characteristics impact our interactional behavior. The outcomes of this research are manifold. We present our contributions in three parts, corresponding to the three key organizing ideas. First, we have observed that user context is key to characterizing communication between a pair of individuals. However interestingly, the probability of future communication seems to be more sensitive to the context compared to the delay, which appears to be rather habitual. Further, we observe that diffusion of social actions in a network can be indicative of future information cascades; that might be attributed to social influence or homophily depending on the nature of the social action. Second, we have observed that different modes of social engagement lead to evolution of groups that have considerable predictive capability in characterizing external-world temporal occurrences, such as stock market dynamics as well as collective political sentiments. Finally, characterization of communication on rich media sites have shown that conversations that are deemed "interesting" appear to have consequential impact on the properties of the social network they are associated with: in terms of degree of participation of the individuals in future conversations, thematic diffusion as well as emergent cohesiveness in activity among the concerned participants in the network. Based on all these outcomes, we believe that this research can make significant contribution into a better understanding of how we communicate online and how it is redefining our collective sociological behavior.
ContributorsDe Choudhury, Munmun (Author) / Sundaram, Hari (Thesis advisor) / Candan, K. Selcuk (Committee member) / Liu, Huan (Committee member) / Watts, Duncan J. (Committee member) / Seligmann, Doree D. (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Internet sites that support user-generated content, so-called Web 2.0, have become part of the fabric of everyday life in technologically advanced nations. Users collectively spend billions of hours consuming and creating content on social networking sites, weblogs (blogs), and various other types of sites in the United States and around

Internet sites that support user-generated content, so-called Web 2.0, have become part of the fabric of everyday life in technologically advanced nations. Users collectively spend billions of hours consuming and creating content on social networking sites, weblogs (blogs), and various other types of sites in the United States and around the world. Given the fundamentally emotional nature of humans and the amount of emotional content that appears in Web 2.0 content, it is important to understand how such websites can affect the emotions of users. This work attempts to determine whether emotion spreads through an online social network (OSN). To this end, a method is devised that employs a model based on a general threshold diffusion model as a classifier to predict the propagation of emotion between users and their friends in an OSN by way of mood-labeled blog entries. The model generalizes existing information diffusion models in that the state machine representation of a node is generalized from being binary to having n-states in order to support n class labels necessary to model emotional contagion. In the absence of ground truth, the prediction accuracy of the model is benchmarked with a baseline method that predicts the majority label of a user's emotion label distribution. The model significantly outperforms the baseline method in terms of prediction accuracy. The experimental results make a strong case for the existence of emotional contagion in OSNs in spite of possible alternative arguments such confounding influence and homophily, since these alternatives are likely to have negligible effect in a large dataset or simply do not apply to the domain of human emotions. A hybrid manual/automated method to map mood-labeled blog entries to a set of emotion labels is also presented, which enables the application of the model to a large set (approximately 900K) of blog entries from LiveJournal.
ContributorsCole, William David, M.S (Author) / Liu, Huan (Thesis advisor) / Sarjoughian, Hessam S. (Committee member) / Candan, Kasim S (Committee member) / Arizona State University (Publisher)
Created2011
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Description
A statement appearing in social media provides a very significant challenge for determining the provenance of the statement. Provenance describes the origin, custody, and ownership of something. Most statements appearing in social media are not published with corresponding provenance data. However, the same characteristics that make the social media environment

A statement appearing in social media provides a very significant challenge for determining the provenance of the statement. Provenance describes the origin, custody, and ownership of something. Most statements appearing in social media are not published with corresponding provenance data. However, the same characteristics that make the social media environment challenging, including the massive amounts of data available, large numbers of users, and a highly dynamic environment, provide unique and untapped opportunities for solving the provenance problem for social media. Current approaches for tracking provenance data do not scale for online social media and consequently there is a gap in provenance methodologies and technologies providing exciting research opportunities. The guiding vision is the use of social media information itself to realize a useful amount of provenance data for information in social media. This departs from traditional approaches for data provenance which rely on a central store of provenance information. The contemporary online social media environment is an enormous and constantly updated "central store" that can be mined for provenance information that is not readily made available to the average social media user. This research introduces an approach and builds a foundation aimed at realizing a provenance data capability for social media users that is not accessible today.
ContributorsBarbier, Geoffrey P (Author) / Liu, Huan (Thesis advisor) / Bell, Herbert (Committee member) / Li, Baoxin (Committee member) / Sen, Arunabha (Committee member) / Arizona State University (Publisher)
Created2011
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It took the coming together of a community of people and their collective efforts to bring me where I am today academically. I would first like to thank Barrett, especially Dean Ramsey who helped build my appreciation for reading primary text, and NCUIRE for awarding me the grant for this

It took the coming together of a community of people and their collective efforts to bring me where I am today academically. I would first like to thank Barrett, especially Dean Ramsey who helped build my appreciation for reading primary text, and NCUIRE for awarding me the grant for this project. I want to extend my gratitude to Dr. Jeffery Kassing for being more than a director for my thesis by patiently listening to me talk about my future aspiration, and Dr. Jim Reed for being a mentor and a second reader. I would also like to thank all the multitude of professors and other mentors who helped shape my perspective in seeing the bigger picture. I am mostly grateful to all those who directly and indirectly helped bring this thesis to realization. Lastly, but certainly not the least, I would like to say a big thank you to my entire family, loved ones, and friends here and back home for enthusiastically cheering me on.
ContributorsWento, Christiana Tally (Author) / Kassing, Jeffrey (Thesis director) / Reed, James (Committee member) / Barrett, The Honors College (Contributor) / School of Social and Behavioral Sciences (Contributor)
Created2015-05
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Description
BACKGROUND: Biotechnology can improve vitamin deficiencies, farming practices and yields, yet it is surrounded by controversy. PURPOSE: The purpose of this study was to better understand opinions Americans have about genetically modified organisms (GMOs), across multiple perspectives including scientists, farmers, and perceptions shared via social media. METHODS: A Google Scholar

BACKGROUND: Biotechnology can improve vitamin deficiencies, farming practices and yields, yet it is surrounded by controversy. PURPOSE: The purpose of this study was to better understand opinions Americans have about genetically modified organisms (GMOs), across multiple perspectives including scientists, farmers, and perceptions shared via social media. METHODS: A Google Scholar search for the term "genetically modified" (GM) produced 1,420,000 results in 0.05 seconds from the year 1988 to present, a portion of this literature was used for this study. In addition a quasi-experimental study on social media (i.e. a blog and Twitter) was performed to inspire reactions of social media users who followed the accounts @Biofortified and @BiotechFood. The study lasted for approximately three months. The analytics website, Topsy was also used to track the number of conversations that included terms like "GMO". Furthermore a plant biologist, sustainability scientist, and local farmers were interviewed to gain insights on their perceptions of GM products. RESULTS: Results generally suggest that there was no stance shared by social media users, local farmers, and researchers. It was clear however that conversation about GMOs happens daily on social media. These conversations however lack the evidence that can be learned through literature and conversations with local farmers. DISCUSSION: A plausible possible reason for the confusion and mixed opinions is that regardless of the resources (like scientific literature and agriculture workers available on GMOs), individuals appear to use moral reasoning \u2014 as defined by Jonathan Haidt \u2014 to defend their stance on GMOs, not necessarily any empirical evidence.
ContributorsHubbard, Shayla Briann (Author) / Hekler, Eric (Thesis director) / Wharton, Christopher (Committee member) / Barrett, The Honors College (Contributor) / School of Community Resources and Development (Contributor) / School of Public Affairs (Contributor) / School of Life Sciences (Contributor)
Created2015-05
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This thesis explores how we can harness new technology to improve our relationship with companion animals and promote shelter animal welfare. The study looked into using the photo-sharing application Instagram to increase adoption rates at the Arizona Animal Welfare League & SPCA. An Instagram page was created and managed for

This thesis explores how we can harness new technology to improve our relationship with companion animals and promote shelter animal welfare. The study looked into using the photo-sharing application Instagram to increase adoption rates at the Arizona Animal Welfare League & SPCA. An Instagram page was created and managed for the shelter, and data was collected regarding the impact the page had on adoption rates. The results were mixed, but overall it was determined that the Instagram page has unique value for the shelter.
ContributorsBautista-Hobin, Elena Maria (Author) / Minteer, Ben (Thesis director) / Ellison, Karin (Committee member) / Morefield, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2015-05
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This thesis project utilizes a multi-frame analysis from Bolman and Deal’s Reframing Organizations: Artistry, Choice and Leadership to reinvent a fundraising opportunity for a nonprofit organization named Save the Cats Arizona. This thesis begins with what makes Save the Cats Arizona stand out from other organizations. From there, a breakdown

This thesis project utilizes a multi-frame analysis from Bolman and Deal’s Reframing Organizations: Artistry, Choice and Leadership to reinvent a fundraising opportunity for a nonprofit organization named Save the Cats Arizona. This thesis begins with what makes Save the Cats Arizona stand out from other organizations. From there, a breakdown of the organization’s structure is provided. Next, research is provided on the impacts of fundraising on social media platforms and online engagement across nonprofit organizations. Additional research is provided to highlight the importance of social media management in nonprofit organizations. Save the Cats Arizona is then analyzed through Bolman and Deal’s multi-frame theory – which includes the structural, human-resource, political, and symbolic frame. Finally, the knowledge gained from the multi-frame analysis is implemented into ideas on how to improve fundraising opportunities for Save the Cats Arizona. This project ends with a reflection about this thesis and Save the Cats Arizona’s future.

ContributorsIturbe, Jaggird Renato (Author) / deLusé, Stephanie (Thesis director) / Van Scoy, Patricia (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

With a prison population that has grown to 1.4 million, an imprisonment rate of 419 per 100,000 U.S. residents, and a recidivism rate of 52.2% for males and 36.4% for females, the United States is facing a crisis. Currently, no sufficient measures have been taken by the United States to

With a prison population that has grown to 1.4 million, an imprisonment rate of 419 per 100,000 U.S. residents, and a recidivism rate of 52.2% for males and 36.4% for females, the United States is facing a crisis. Currently, no sufficient measures have been taken by the United States to reduce recidivism. Attempts have been made, but they ultimately failed. Recently, however, there has been an increase in experimentation with the concept of teaching inmates basic computer skills to reduce recidivism. As labor becomes increasingly digitized, it becomes more difficult for inmates who spent a certain period away from technology to adapt and find employment. At the bare minimum, anybody entering the workforce must know how to use a computer and other technological appliances, even in the lowest-paid positions. By incorporating basic computer skills and coding educational programs within prisons, this issue can be addressed, since inmates would be better equipped to take on a more technologically advanced labor market.<br/>Additionally, thoroughly preparing inmates for employment is a necessity because it has been proven to reduce recidivism. Prisons typically have some work programs; however, these programs are typically outdated and prepare inmates for fields that may represent a difficult employment market moving forward. On the other hand, preparing inmates for tech-related fields of work is proving to be successful in the early stages of experimentation. A reason for this success is the growing demand. According to the U.S. Bureau of Labor Statistics, employment in computer and information technology occupations is projected to grow 11 percent between 2019 and 2029. This is noteworthy considering the national average for growth of all other jobs is only 4 percent. It also warrants the exploration of educating coders because software developers, in particular, have an expected growth rate of 22 percent between 2019 and 2029. <br/>Despite the security risks of giving inmates access to computers, the implementation of basic computer skills and coding in prisons should be explored further. Programs that give inmates access to a computing education already exist. The only issue with these programs is their scarcity. However, this is to no fault of their own, considering the complex nature and costs of running such a program. Accordingly, this leaves the opportunity for public universities to get involved. Public universities serve as perfect hosts because they are fully capable of leveraging the resources already available to them. Arizona State University, in particular, is a more than ideal candidate to spearhead such a program and serve as a model for other public universities to follow. Arizona State University (ASU) is already educating inmates in local Arizona prisons on subjects such as math and English through their PEP (Prison Education Programming) program.<br/>This thesis will focus on Arizona specifically and why this would benefit the state. It will also explain why Arizona State University is the perfect candidate to spearhead this kind of program. Additionally, it will also discuss why recidivism is detrimental and the reasons why formerly incarcerated individuals re-offend. Furthermore, it will also explore the current measures being taken in Arizona and their limitations. Finally, it will provide evidence for why programs like these tend to succeed and serve as a proposal to Arizona State University to create its own program using the provided framework in this thesis.

ContributorsAwawdeh, Bajis Tariq (Author) / Halavais, Alexander (Thesis director) / Funk, Kendall (Committee member) / School of Social and Behavioral Sciences (Contributor, Contributor) / School of Humanities, Arts, and Cultural Studies (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description
This is an exploratory study that describes the activities of the Chive community as a popular religion. Using utilize Shan Suttons' framework from The Deadhead Community (2000) and Howard Beckers Jazz Places, I use categories of Community, Cultus, Creed, and Code as ways to explore describe the Chive community's activities

This is an exploratory study that describes the activities of the Chive community as a popular religion. Using utilize Shan Suttons' framework from The Deadhead Community (2000) and Howard Beckers Jazz Places, I use categories of Community, Cultus, Creed, and Code as ways to explore describe the Chive community's activities and how they are similar to the popular religion, the Deadheads. Chive people maintain a sense of community that operates online with social media sites like Facebook and Twitter where they began to connect with one another, offline in the form of Meet-ups, and charity drives, and in the fabric between these events of the shared consciousness that takes place among Chivers and Chivettes. Through participant observations, interviews with Chive chapter administrators, and survey responses, I set out to answer, or get closer to, what it is that leads someone to Chive On.
ContributorsHarrick, Travis Christopher (Author) / Renshaw, Scott (Thesis director) / Keahey, Jennifer (Committee member) / Barrett, The Honors College (Contributor) / School of Social and Behavioral Sciences (Contributor)
Created2015-05
Description
The rise in social media usage has sparked a new marketing strategy for brands and entrepreneurs known as influencing. Influencers use marketing tactics to persuade their social media followers to purchase a certain brand. For this thesis, we will be focusing on micro influencers who are defined as people that

The rise in social media usage has sparked a new marketing strategy for brands and entrepreneurs known as influencing. Influencers use marketing tactics to persuade their social media followers to purchase a certain brand. For this thesis, we will be focusing on micro influencers who are defined as people that began as a regular, everyday person and became known for their knowledge about some specialist niche with a range of 10,000-500,000 followers.
To conduct research, we developed a survey that was distributed and taken by students at Arizona State University. The goal of surveying college students was to understand how young people who regularly use social media are persuaded by micro-influencers. To gain more insight, we interviewed three local micro-influencers that we discovered through Instagram and research. The goal of these interviews was to discover tactics that micro-influencers use when posting to market sponsored products. Additionally, we hoped to uncover a pattern that micro-influencers use when building their social media following. Ultimately, we developed a six-step guide from our research that aspiring micro-influencers can follow to strategize their rise as a social media micro-influencer. We also discuss the social media app TikTok, which we believe will be heavily used by influencers and micro-influencers in the future.
ContributorsPangburn, Morgan Lane (Co-author) / Harazim, Genevieve (Co-author) / Eaton, John (Thesis director) / Ingram-Waters, Mary (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05