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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
Description
A combined examination of the Charlie Hebdo attacks on January 7, 2015 and the November 13, 2015 attacks in Paris yields a social media movement that evolved within the 10 months between the attacks, a comparison between these terrorist attacks and those of September 11, 2001 and parallels between American

A combined examination of the Charlie Hebdo attacks on January 7, 2015 and the November 13, 2015 attacks in Paris yields a social media movement that evolved within the 10 months between the attacks, a comparison between these terrorist attacks and those of September 11, 2001 and parallels between American First Amendment principles and France’s free expression laws.

The Charlie Hebdo attacks fueled an online debate over freedom of expression and religion, whereas the purpose of social media evolved into a humanitarian one following the November 13 attacks in Paris. This research looks into the individual evolutions of the related hashtags that surfaced in 2015, including #JeSuisCharlie (and its opposites, such as #JeNeSuisPasCharlie), #DonDuSang, #PorteOuverte and #RechercheParis, among others. Another research point was with the September 11 attacks—with the 9/11 attacks against the United States, few to no channels were available for the kind of immediate discussions and support seen after the Paris attacks. After spending time in Paris during the spring 2015 semester and researching the aftermath of the Charlie Hebdo attacks and the history of the publication, the conclusion rests on the idea that the online discussions perpetuated by both supporters and dissenters of the magazine contribute to a more robust, open democracy supported by these social media platforms.

A portion of this thesis also delves into the parallels and differences between the American First Amendment and the French free speech laws—all of which pertain to the Charlie Hebdo content and the online responses to the 2015 Paris attacks.

The interviews conducted include a French art history professor at the Sorbonne University in Paris, two creators of the “Je Suis Charlie” Facebook page, an American journalist living in Paris who covered the Charlie Hebdo attack and who was present during the November attacks, and a Muslim-American doctor in Phoenix who founded the American Islamic Forum for Democracy. The ideas surrounding free speech, the value of art such as that found within the pages of Charlie Hebdo, the media’s treatment of religion, traditional democratic freedoms and ties to social media revolutions are all components of this research thesis.
Created2016-05
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Description
This paper examines the relationship between feminism and social media and evaluates the ability of social media to function as an effective platform for the advancement of feminism's objectives. In the decades before social media became an integral part of culture, the popularity of feminism deteriorated and feminist voices were

This paper examines the relationship between feminism and social media and evaluates the ability of social media to function as an effective platform for the advancement of feminism's objectives. In the decades before social media became an integral part of culture, the popularity of feminism deteriorated and feminist voices were unsure that it could be revived or popularized again. However, in recent years, women have used social media as a mechanism to communicate and disseminate feminist ideas. The birth of what is called "hashtag feminism" has been a fundamental shift in the way feminism is done and advocated for in modern culture. In light of this dramatic shift in venue for feminist conversations, academic feminists are asking a series of pertinent questions: Is social media good for feminism and the achievement of feminist objectives? What, if anything, has feminism compromised in order to fit into 140 characters or fewer? This paper argues that social media has provided a platform for feminists to share their stories, which has aided in the building of feminist constituencies. This is the most important work of feminism, because it is making society more receptive to feminist principles and ideas, transforming our culture into one that can accept and fight for feminism's objectives. This paper will examine a series of case studies in which social media has hosted feminist conversations. It will analyze the impact of this social media as a venue for feminist narratives and evaluate the use of social media as a feminist platform in the movement to achieve feminism's objectives.
ContributorsGiel, Katelyn Anne (Author) / Woodall, Gina (Thesis director) / Lake, Milli (Committee member) / School of Politics and Global Studies (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
Description
Ever since Cleveland-based disc jockey Alan Freed coined the term "rock 'n' roll" in the early 1950s, the genre has gone through various mass media and digital changes over the decades. These changes took place on the radio, television and internet. Each platform had its own unique ways of increasing

Ever since Cleveland-based disc jockey Alan Freed coined the term "rock 'n' roll" in the early 1950s, the genre has gone through various mass media and digital changes over the decades. These changes took place on the radio, television and internet. Each platform had its own unique ways of increasing the popularity of rock artists as well as the genre itself. Although the radio is not as popular today as it was in the 20th century, it helped pave the way for today’s most popular music streaming platforms like Spotify and Apple Music. The television gave artists a chance to be seen nationally or even worldwide. Music videos and live performances allowed viewers to see past artists’ voices and witness their energy. The internet gave bands and artists multiple platforms to share their content and connect with fans. In 2020, having a social media presence became essential for artists wanting to maintain a successful music career during the COVID-19 pandemic. Rock music most likely would not be what it is today if it had not gone through these various changes.
ContributorsUrriola, Monica (Author) / Thornton, Leslie (Thesis director) / Agne, Tim (Committee member) / School of International Letters and Cultures (Contributor) / Walter Cronkite School of Journalism & Mass Comm (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
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Description
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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Description
Although previous research has explored the relationship between social media use and well-being, many studies are contradictory of each other and conclude varying findings relating to social media use and outspokenness. This study explores the relationship between active and passive social media use, perceived social media expertise, and outspokenness using

Although previous research has explored the relationship between social media use and well-being, many studies are contradictory of each other and conclude varying findings relating to social media use and outspokenness. This study explores the relationship between active and passive social media use, perceived social media expertise, and outspokenness using the potentially mediating variable of perceived social acceptance. 162 participants, recruited through Amazon Mechanical Turk (MTurk) and ASU’s SONA systems, completed a survey relating to their own use of social media, perceived social acceptance, and outspokenness. Contradictory to my first hypotheses, no significant correlations were found between social media use and social media expertise. However, correlation analyses revealed that active social media use is related to an increased amount of perceived social media expertise (r = 0.23, p < .004). Perceived social media expertise was significantly positively correlated with outspokenness (r = 0.19, p < 0.015); however, it was not correlated with perceived social acceptance. When examining these relationships separately by gender, a strong association was found for males between active social media use and outspokenness, whereas passive social media use and outspokenness were negatively correlated for females. The results of this study add to previous research in the field of social media and outspokenness and lend new ideas for future research on these topics, such as exploring the gender differences that are associated with these variables. Further research in the area is needed for a more complete understanding of how one’s social media use affects his/her outspokenness and how gender modifies these effects.
ContributorsRubino, Kelli Erika (Co-author) / Rubino, Kelli (Co-author) / Mickelson, Kristin (Thesis director) / Halavais, Alexander (Committee member) / Department of Psychology (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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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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Description
This study looked at the Women's March's use of social media to communicate their organization's mission. Data was collected from their official Twitter, Instagram and Facebook accounts. Facebook posts were collected manually, Twitter data was collected with a Google Sheets add-on and Instagram was collected by Picodash. All the posts

This study looked at the Women's March's use of social media to communicate their organization's mission. Data was collected from their official Twitter, Instagram and Facebook accounts. Facebook posts were collected manually, Twitter data was collected with a Google Sheets add-on and Instagram was collected by Picodash. All the posts were shifted through multiple times to identify the key narratives of the Women's March. These narratives were then compared to the stated "Unity Principles" of the organization to see if they aligned with what the Women's March attempted to fight for. The five narratives were "everyone should have access to affordable health care," "women should have access to positions of power and be respected," "immigrants should be welcomed within the United States," "society will be stronger if it addresses issues intersectionally," and "everyone should be safe in the world and treated as equals." Analysis showed that each of these narratives reflected the "Unity Principles" in some form. While certain narratives were related to more principles than others, it does not diminish the importance of each message.
Created2018-05