Matching Items (171)
Description
Teacher attrition and the migration between schools and districts can have a negative impact on quality of education and teacher performance. Novice teachers leave the profession because they are overwhelmed by the workload and responsibilities of the job. In a previous action research cycle, I found that novice teachers' perceptions of isolation and lack of opportunities to share experiences had a negative effect on teacher perceptions of efficacy. This action research project examines the effect of leveraging social media and professional learning communities to provide opportunities for a group of novice teachers to share experiences and seek advice. By addressing the challenges that novice teachers face and providing solutions for common problems, it is the hope of this researcher that highly effective teachers will remain in the classroom. The results of the study indicate that the combined use of Twitter and YouTube in collaboration with professional learning communities will improve teacher perceptions of efficacy. Teachers who participated in the social media based professional learning communities are also more likely to remain in the classroom.
ContributorsBostick, Bradley Alan (Author) / Zambo, Ronald (Thesis advisor) / Heck, Thomas (Committee member) / Isai, Shelley (Committee member) / Arizona State University (Publisher)
Created2013
Description
The increasing popularity of Twitter renders improved trustworthiness and relevance assessment of tweets much more important for search. However, given the limitations on the size of tweets, it is hard to extract measures for ranking from the tweet's content alone. I propose a method of ranking tweets by generating a reputation score for each tweet that is based not just on content, but also additional information from the Twitter ecosystem that consists of users, tweets, and the web pages that tweets link to. This information is obtained by modeling the Twitter ecosystem as a three-layer graph. The reputation score is used to power two novel methods of ranking tweets by propagating the reputation over an agreement graph based on tweets' content similarity. Additionally, I show how the agreement graph helps counter tweet spam. An evaluation of my method on 16~million tweets from the TREC 2011 Microblog Dataset shows that it doubles the precision over baseline Twitter Search and achieves higher precision than current state of the art method. I present a detailed internal empirical evaluation of RAProp in comparison to several alternative approaches proposed by me, as well as external evaluation in comparison to the current state of the art method.
ContributorsRavikumar, Srijith (Author) / Kambhampati, Subbarao (Thesis advisor) / Davulcu, Hasan (Committee member) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2013
Description
En el siglo XXI nuestra vida se está cruzando constantemente con la tecnología, tanto que algunos declaran que nuestro mundo se ha hecho posthumano, ya que no se puede separar al ser humano de la máquina. Aunque algunos se sientan amenazados por estas tecnologías, otros están abrazando la Red Mundial, aprovechándose de las infinitas oportunidades que ofrece. Uno de estos elementos fundamentales que internet posibilita es la capacidad de comunicarse directamente con otras personas. El blog por ejemplo, o bitácora en español, permite que los usuarios se proyecten a sí mismos o a sus pseudo-identidades, sus pensamientos e ideas a través del texto que escriben en internet. También sus lectores pueden responder a estos autores inmediatamente. Los posts publicados--entradas en una página web--, aunque aparecen cronológicamente, son episodios fragmentados. Pero el blog no se limita a la producción de un texto sino que el autor puede también "jugar" con el cuerpo del texto para añadir hipervínculos y multimedia. Esta forma de escribir está cambiando lo que se considera "válido" como texto, incluso lo que se considera literatura. El objetivo de este trabajo no es estudiar la literatura digital en su totalidad, sino específicamente en algunas obras escritas por mujeres en internet. Si se considera la escritura digital como una forma de arte marginalizada, se podría decir que la escritura realizada por mujeres en internet experimenta una doble-marginalidad debido al hecho de que la literatura de mujeres siempre ha sido marginal al canon. Este estudio tomará un punto de vista transatlántico, incluyendo en el mismo a varias escritoras hispanohablantes de diferentes edades, experiencias y con variados motivos en su trabajo que publican sus obras en internet. Estas autoras incluyen las blogueras Almudena Montero (española) yMaría Amelia López Soliño (española); la periodista ciudadana Yoanis Sánchez (cubana); y la poeta digital/crítica Belén Gache (española-argentina). En esta tesis he explorado y considerado la noción de que el internet sirve como un medio de democratización puesto que, hasta cierto punto, las fronteras de género y nacionalidad desaparecen. Por esta razón, este trabajo va a considerar varias teorías tales como el postmodernismo, las teorías sobre la escritura de mujeres y teorías sobre la democratización de la tecnología para analizar la literatura que se encuentra en la red. Aunque las escritoras analizadas en este proyecto son distintas, y usan la tecnología de maneras diferentes, tienen una misma meta: expresarse libremente y comunicarse directamente con sus lectores al conectarse a internet. Mi hipótesis de trabajo consiste en que estas mujeres escriben de una manera particular--es decir, que no escriben igual a los hombres que escriben en internet--y que la red ofrece una plataforma única a las mujeres: en este espacio ellas son más activas--en oposición a la literatura tradicional-- en cuanto a compartir y publicar su propio trabajo e ideas.
ContributorsByron, Jennifer E. (Author) / Urioste-Azcorra, Carmen (Thesis advisor) / Tompkins, Cynthia (Committee member) / García-Fernández, Carlos Javier (Committee member) / Arizona State University (Publisher)
Created2013
Description
Social media offers a powerful platform for the independent digital content producer community to develop, disperse, and maintain their brands. In terms of information systems research, the broad majority of the work has not examined hedonic consumption on Social Media Sites (SMS). The focus has mostly been on the organizational perspectives and utilitarian gains from these services. Unlike through traditional commerce channels, including e-commerce retailers, consumption enhancing hedonic utility is experienced differently in the context of a social media site; consequently, the dynamic of the decision-making process shifts when it is made in a social context. Previous research assumed a limited influence of a small, immediate group of peers. But the rules change when the network of peers expands exponentially. The assertion is that, while there are individual differences in the level of susceptibility to influence coming from others, these are not the most important pieces of the analysis--unlike research centered completely on influence. Rather, the context of the consumption can play an important role in the way social influence factors affect consumer behavior on Social Media Sites. Over the course of three studies, this dissertation will examine factors that influence consumer decision-making and the brand personalities created and interpreted in these SMS. Study one examines the role of different types of peer influence on consumer decision-making on Facebook. Study two observes the impact of different types of producer message posts with the different types of influence on decision-making on Twitter. Study three will conclude this work with an exploratory empirical investigation of actual twitter postings of a set of musicians. These studies contribute to the body of IS literature by evaluating the specific behavioral changes related to consumption in the context of digital social media: (a) the power of social influencers in contrast to personal preferences on SMS, (b) the effect on consumers of producer message types and content on SMS at both the profile level and the individual message level.
ContributorsSopha, Matthew (Author) / Santanam, Raghu T (Thesis advisor) / Goul, Kenneth M (Committee member) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2013
Description
The economic crisis in 2008 triggered a global financial shockwave that left many wondering about the origins of the crisis. Similarly, in the early twentieth century, Wall Street faced catastrophic losses that set the stage for the Great Depression, which resulted in a decade of economic depression, leaving millions of people out of work. Using discourse analysis to understand how economic crisis is framed through the mainstream press, this research project analyzed the stock market crash of 1929-1932 and the mortgage-backed financial crisis of 2007-2009 through the lens of two mainstream publications, The New York Times and The Wall Street Journal. Comparative analysis focused on explanations for the causes of the crises, attributions of blame, culprits, and proposed solutions emerging in news coverage of the 1929 panic and the 2007-2009 financial crises. Mainstream media accounts of the 2007-2009 crisis are then compared with `alternative media' accounts of crisis causes, culprits, and solutions. These comparative analyses are contextualized historically within economic paradigms of thought, beginning with the classical economists led by Adam Smith and transitioning to the Chicago School.
ContributorsPrice, Eun (Author) / Nadesan, Majia (Thesis advisor) / Gruber, Diane (Committee member) / Ramsey, Ramsey E (Committee member) / Arizona State University (Publisher)
Created2013
Description
This dissertation sought to understand how leaders in a public-private strategic alliance collaboratively address complex community problems. The study responded to the gap in academic research of leadership and public relations in alliances to solve complex social issues, as well as the scant scholarly attention to alliance leaders' communications with stakeholders. Its findings corresponded to framing theory, stakeholder theory, SWOT (strengths/weaknesses/opportunities/threats) theory, complexity theory, and the subtopic of complex leadership -- all through the lens of public relations. This investigation culminated in the introduction of the C.A.L.L. to Action Model of Community Engagement, which demonstrates the confluence of factors that were integral to the alliance's success in eliminating chronic homelessness among veterans in Maricopa County, Arizona -- Communication, Alliance, Leadership, and Leverage. This qualitative case study used the method of elite or in-depth interviews and grounded theory to investigate the factors present in a community engagement that achieved its purpose. It served as a foundation for future inquiry and contributions to the base of knowledge, including 1) additional qualitative case studies of homeless alliances in other communities or of other social issues addressed by a similar public-private alliance; 2) quantitative methods, such as a survey of the participants in this alliance to provide triangulation of the results and establish a platform for generalization of the results to a larger population.
ContributorsSweeter, Janice Martha (Author) / Matera, Frances (Thesis advisor) / Godfrey, Donald G. (Committee member) / Gilpin, Dawn (Committee member) / Shockley, Gordon (Committee member) / Arizona State University (Publisher)
Created2015
Description
During the 1960s, American youth were coming of age in a post–war period marked by an unprecedented availability of both money and leisure time. These conditions afforded young people new opportunities for exploring fresh ways of thinking and living, beyond the traditional norms of their parents' generation. Tom Wolfe recognized that a revolution was taking place, in terms of manners and morals, spearheaded by this latest generation. He built a career for himself reporting on the diverse groups that were developing on the periphery of the mainstream society and the various ways they were creating social spaces, what he termed “statuspheres,” for themselves, in which to live by their own terms. Using the techniques of the New Journalism—“immersion” reporting that incorporated literary devices traditionally reserved for writers of fiction—Wolfe crafted creative non–fiction pieces that attempted not only to offer a glimpse into the lives of these fringe groups, but also to place the reader within their subjective experiences. This thesis positions Wolfe as a sort of liminal trickster figure, who is able to bridge the gap between disparate worlds, both physical and figurative. Analyzing several of Wolfe's works from the time period, it works to demonstrate the almost magical way in which Wolfe infiltrates various radical, counterculture and otherwise “fringe” groups, while borrowing freely from elements across lines of literary genre, in order to make his subjects' experiences come alive on the page. This work attempts to shed light on his special ability to occupy multiple spaces and perspectives simultaneously, to offer the reader a multidimensional look into the lives of cultural outsiders and the impact that they had and continue to have on the overarching discussion of the American Experience. Ultimately, this paper argues that by exposing these various outlying facets of American culture to the mainstream readership, Wolfe acts as a catalyst to reincorporate these fringe elements within the larger conversation of what it means to be American, thereby spurring a greater cultural awareness and an expansion of the collective American consciousness.
ContributorsKilduff, Josiah (Author) / Ortiz, Simon J. (Thesis advisor) / De La Garza, Sarah A. (Committee member) / Gutkind, Lee (Committee member) / Arizona State University (Publisher)
Created2014
Description
Social media platforms such as Twitter, Facebook, and blogs have emerged as valuable
- in fact, the de facto - virtual town halls for people to discover, report, share and
communicate with others about various types of events. These events range from
widely-known events such as the U.S Presidential debate to smaller scale, local events
such as a local Halloween block party. During these events, we often witness a large
amount of commentary contributed by crowds on social media. This burst of social
media responses surges with the "second-screen" behavior and greatly enriches the
user experience when interacting with the event and people's awareness of an event.
Monitoring and analyzing this rich and continuous flow of user-generated content can
yield unprecedentedly valuable information about the event, since these responses
usually offer far more rich and powerful views about the event that mainstream news
simply could not achieve. Despite these benefits, social media also tends to be noisy,
chaotic, and overwhelming, posing challenges to users in seeking and distilling high
quality content from that noise.
In this dissertation, I explore ways to leverage social media as a source of information and analyze events based on their social media responses collectively. I develop, implement and evaluate EventRadar, an event analysis toolbox which is able to identify, enrich, and characterize events using the massive amounts of social media responses. EventRadar contains three automated, scalable tools to handle three core event analysis tasks: Event Characterization, Event Recognition, and Event Enrichment. More specifically, I develop ET-LDA, a Bayesian model and SocSent, a matrix factorization framework for handling the Event Characterization task, i.e., modeling characterizing an event in terms of its topics and its audience's response behavior (via ET-LDA), and the sentiments regarding its topics (via SocSent). I also develop DeMa, an unsupervised event detection algorithm for handling the Event Recognition task, i.e., detecting trending events from a stream of noisy social media posts. Last, I develop CrowdX, a spatial crowdsourcing system for handling the Event Enrichment task, i.e., gathering additional first hand information (e.g., photos) from the field to enrich the given event's context.
Enabled by EventRadar, it is more feasible to uncover patterns that have not been
explored previously and re-validating existing social theories with new evidence. As a
result, I am able to gain deep insights into how people respond to the event that they
are engaged in. The results reveal several key insights into people's various responding
behavior over the event's timeline such the topical context of people's tweets does not
always correlate with the timeline of the event. In addition, I also explore the factors
that affect a person's engagement with real-world events on Twitter and find that
people engage in an event because they are interested in the topics pertaining to
that event; and while engaging, their engagement is largely affected by their friends'
behavior.
- in fact, the de facto - virtual town halls for people to discover, report, share and
communicate with others about various types of events. These events range from
widely-known events such as the U.S Presidential debate to smaller scale, local events
such as a local Halloween block party. During these events, we often witness a large
amount of commentary contributed by crowds on social media. This burst of social
media responses surges with the "second-screen" behavior and greatly enriches the
user experience when interacting with the event and people's awareness of an event.
Monitoring and analyzing this rich and continuous flow of user-generated content can
yield unprecedentedly valuable information about the event, since these responses
usually offer far more rich and powerful views about the event that mainstream news
simply could not achieve. Despite these benefits, social media also tends to be noisy,
chaotic, and overwhelming, posing challenges to users in seeking and distilling high
quality content from that noise.
In this dissertation, I explore ways to leverage social media as a source of information and analyze events based on their social media responses collectively. I develop, implement and evaluate EventRadar, an event analysis toolbox which is able to identify, enrich, and characterize events using the massive amounts of social media responses. EventRadar contains three automated, scalable tools to handle three core event analysis tasks: Event Characterization, Event Recognition, and Event Enrichment. More specifically, I develop ET-LDA, a Bayesian model and SocSent, a matrix factorization framework for handling the Event Characterization task, i.e., modeling characterizing an event in terms of its topics and its audience's response behavior (via ET-LDA), and the sentiments regarding its topics (via SocSent). I also develop DeMa, an unsupervised event detection algorithm for handling the Event Recognition task, i.e., detecting trending events from a stream of noisy social media posts. Last, I develop CrowdX, a spatial crowdsourcing system for handling the Event Enrichment task, i.e., gathering additional first hand information (e.g., photos) from the field to enrich the given event's context.
Enabled by EventRadar, it is more feasible to uncover patterns that have not been
explored previously and re-validating existing social theories with new evidence. As a
result, I am able to gain deep insights into how people respond to the event that they
are engaged in. The results reveal several key insights into people's various responding
behavior over the event's timeline such the topical context of people's tweets does not
always correlate with the timeline of the event. In addition, I also explore the factors
that affect a person's engagement with real-world events on Twitter and find that
people engage in an event because they are interested in the topics pertaining to
that event; and while engaging, their engagement is largely affected by their friends'
behavior.
ContributorsHu, Yuheng (Author) / Kambhampati, Subbarao (Thesis advisor) / Horvitz, Eric (Committee member) / Krumm, John (Committee member) / Liu, Huan (Committee member) / Sundaram, Hari (Committee member) / Arizona State University (Publisher)
Created2014
Description
Sports communication is a vibrant, blossoming research area within the communication discipline. One of the more fruitful directions in sports communication research pertains to social media. Social media has embedded itself in the sports world in a very short period of time. As a result, there is a need for instructional resources that prepare students to understand the nuances and power that social media possess. This research provides the foundation for a case study textbook centered on social media and sports communication. Specifically, four cases dealing with: (a) athletes using social media to encourage input from fans; (b) sports organizations using social media as an agenda-setting tool; (c) negative parasocial interaction expressed to athletes via social media; and (d) athletes using social media to enact image repair are presented. These cases demonstrate that social media is a valuable conduit between athletes and fans that enables athletes and sports organizations to cultivate fan identity and maintain control over public information. The cases also demonstrate that fan behavior via social media can quickly turn problematic, requiring that athletes and sports organizations respond appropriately, yet strategically. The research concludes by offering implications for future social media and sports communication research.
ContributorsSanderson, Jimmy (Author) / Kassing, Jeffrey W. (Thesis advisor) / Ramirez Jr, Artemio (Committee member) / Meân, Lindsey J. (Committee member) / Arizona State University (Publisher)
Created2012
Description
This study explores how newspapers framed the weight-loss drugs Xenical®(orlistat) and Alli® (over-the-counter orlistat) during the time period of three months prior to their approvals by the U.S. Food and Drug Administration until one year after each became available on the market. As of June 2011, orlistat is the only weight-loss drug available for long-term use in the U.S. Newspapers are influential sources of information about health issues. Agenda-setting, framing, and priming in news articles can have a powerful effect on public perceptions and behaviors. To conduct the content analysis, researchers first developed a codebook containing variables that described the sources of attribution and the features of each drug. They tested the codebook in a series of pilot tests to ensure inter-rater reliability. The sample of texts for the content analysis, drawn from LexisNexis Academic, contained 183 newspaper articles composed of 85 Xenical articles and 98 Alli articles. The overlap was 25% for inter-rater reliability as well as intra-rater reliability. Frequencies were tabulated using Predictive Analytics SoftWare, version 18.0.3. Results demonstrated that Xenical and Alli were framed differently in some critical ways. For example, there were twice as many quotes from the manufacturer for Alli than for Xenical. Researchers concluded that the reporting on Alli was heavily influenced by the manufacturer's multi-media public relations campaign in the months prior to the market-release date.
ContributorsLehmann, Jessica (Author) / Hampl, Jeffrey S. (Thesis advisor) / Bramlett-Solomon, Sharon (Committee member) / Hall, Richard (Committee member) / Arizona State University (Publisher)
Created2011