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- Genre: Masters Thesis
Description
This thesis examines why young Western Muslim women from the UK are drawn to join and support ISIS in its established territories in Syria and Iraq and identifies their role within these territories. The critical role of technology, specifically social media, in facilitating the recruitment, radicalization, and mobilization of young Muslim women online to join ISIS is also explored. Females emigrating from the UK appear equally drawn to ISIS's ideology and state-building mission as Muslim men. Claims from the media suggest women serve as 'fighters,' however this research finds that women are not permitted by ISIS to participate in fighting. Using Britain as a case study, this study analyzes the social media content of eight young British Muslim women, known as female migrants, for themes motivating them to mobilize. Themes, culled from the literature, include Muslim attitudes and perceptions in the UK regarding Islamophobia or religious discrimination, the erosion of multiculturalism, identity and belonging, and finding purpose in the ummah, and measures whether these variables influence women to mobilize. Excerpts from blog posts and original tweets from their Tumblr, Twitter, and ask.fm accounts provide the actual voices of British female migrants choosing to live within ISIS territory and offers insight on their role as female migrants. Research suggests that, for British Muslim women in the UK, Muslim identity and belonging, both individually and within the ummah, along with attitudes and perceptions of religious discrimination (Islamophobia) and the failing of multiculturalism are influencing them to join ISIS. Additional motives for migration found within the study are based on the following beliefs: that the ummah is under attack, a strong desire to help build a new society, their religious duty as a Muslim, and the opportunity to belong and find purpose in the new "caliphate sisterhood." The role of female migrants residing in ISIS territory is domestic in nature, where they primarily function as wives and mothers of jihadists, as well as serve in online roles as propagandists, proselytizers, and recruiters for ISIS. The strong online presence of women demands an effective counter narrative to deter prospective female migrants from emigrating.
ContributorsPooley, Elizabeth Garcia (Author) / Parmentier, Mary Jane (Thesis advisor) / Robinson, Rebecca (Committee member) / Byrd, Denise (Committee member) / Arizona State University (Publisher)
Created2015
Description
This social media network (SMN) study regarding youth of Saudi Arabia, focused on the effect of the SMN on youth with their families and their traditions. The significance of this study is to have an understanding of the effect of the SMN on the youths' families. Furthermore, recommendations were given from the perspective of the youth to help improve Saudi Arabian society using SMN. A total of 617 students from University of Dammam, ages from 18-24, have participated in the survey. The results of the survey showed that the effect of the SMN on the youth and their relations with their families are resilient in some aspects. However, the outcome of involvement with the SMN is obvious on other aspects as well, such as the gained ability of self-decision making and the ability to accept opposing opinions. Moreover, the research findings specific to women indicate that they are more active in the SMNs. The results also demonstrate women gained knowledge of their rights and gained freedom of speech. Finally, the findings led to a conclusion that there is potential social change in the Saudi Arabian society, even though the family structure is not changing significantly.
ContributorsAlsharkh, Yousef Naser (Author) / Parmentier, Mary Jane (Thesis advisor) / Grossman, Gary (Committee member) / Lim, Merlyna (Committee member) / Arizona State University (Publisher)
Created2012
Description
Social media sites focusing on health-related topics are rapidly gaining popularity among online health consumers, also known as "e-patients". The increasing adoption of social media by e-patients and their demand for reliable health information has prompted several health care organizations (HCOs) to establish their social media presence. HCOs are using social media to connect with current and potential e-patients, and improve patient education and overall quality of care. A significant benefit for HCOs in using social media could potentially be the improvement of their quality of care, as perceived by patients. Perceived quality of care is a key determinant of patients' experience and satisfaction with health care services, and has been a major focus of research. However, there is very little research on the relationship between patients' online social media experience and their perceived quality of care. The objective of this research was to evaluate e-patients' online experience with an HCO's social media sites and examine its impact on their perceived quality of care. Research methodology included a combination of qualitative and quantitative approaches. Data for this study was collected from Mayo Clinic's social media sites through an online survey. Descriptive statistics were used to identify basic demographic profiles of e-patients. Linear regression analysis was used to examine the relationship between online experience and perceived quality of care. Qualitative data was analyzed using thematic analysis. Results showed a positive relationship between online experience and perceived quality of care. Qualitative data provided information about e-patients' attitudes and expectations from healthcare social media. Overall, results yielded insights on design and management of social media sites for e-patients, and integration of these online applications in the health care delivery process. This study is of value to HCOs, health communicators and social media designers, and will also serve as a foundation for subsequent studies in the area of health care social media.
ContributorsAdmane, Leena (Author) / Kroelinger, Michael D. (Thesis advisor) / Cheong, Pauline (Committee member) / Weberg, Daniel (Committee member) / Arizona State University (Publisher)
Created2011
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 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
Description
Latino parents of children with feeding disorders completed a survey about their experiences accessing support and the cultural competence of their providers. This work is a follow-up project to a presented American Speech and Hearing Association Conference poster (Stats-Caldwell, Lindsay, Van Vuren, 2017). That project revealed caregivers’ use of social media and indicated an overall perceived lack of support from providers. In the present survey, Latino caregivers identified the resources they consult and rated the level of helpfulness in addition to the types of supports they sought and received from these resources. Results indicate a considerable reliance on pediatricians in both frequency of consultation and helpfulness ratings. No significant difference was seen between the frequency of consultation between pediatricians, speech-language pathologists and other service providers. No significant difference was found in the helpfulness ratings between speech-language pathologists and topic-specific social media pages, nor speech-language pathologists and grandmothers. Participants indicated reliance on social media for informational resources. The influence of social media is discussed. The cultural implications of treating this population are also reviewed.
ContributorsVan Vuren, Katherine Ann (Author) / Azuma, Tamiko (Thesis advisor) / Scherer, Nancy (Thesis advisor) / Helms-Tillery, Kate (Committee member) / Arizona State University (Publisher)
Created2018
Description
This study explored the perspectives and experiences of eight women active within a particular location of the collective social media landscape. One aspect of the research centered around critiquing mainstream media diets for encouraging fat stigma and deepening the negative effects of stereotyping larger bodies. The research questions centered around transgressive media diets, specifically those that were body positive, and focused on if they could help to eradicate fat stigma and educate the masses on false stereotypes. To examine this, eight plus-size fashion bloggers and/or plus-size models were interviewed following a semi-structured format. These women, as bloggers and Instagrammers with a strong presence in the plus-size fashion industry, were both content producers as well as consumers, and their personal narratives enabled the study to better understand the complex interconnections between production and consumption, self-expression and the politics of self-representation, the cooptation of these self-representations by profit-oriented media interest, and how commodification shapes the transgressive potential of these representations. The research also found that many content creators came to transgressive media diets because they saw a lack of representation and decided that they must make that representation for themselves. The study also examined what community building meant within the porous landscape of social media platforms and the relationship between identity building and community building as social processes. Many of the participants brought up examples of fat discrimination yet many defined themselves as "confident" or "badass", thus finding ways to empower themselves despite the pressure of societal norms. Some of this empowerment came from finding a community online. Finally, these plus-size models and fashion bloggers moved through a thin ideal industry by demanding and being examples of diversity.
ContributorsValentine, Erin (Author) / Katsulis, Yasmina (Thesis advisor) / Himberg, Julia (Committee member) / McGibbney, Michelle (Committee member) / Arizona State University (Publisher)
Created2018
Description
Contemporary cities are physical and virtual. This thesis describes the findings of a mixed-methods study concerning visual images of the city in the urban Northeast of the United States. I ground these approaches in existing literature concerning digital media, visual narrative, genre ecology, urban planning, and virtual places. The first part of the study analyzes the results of a survey in which 150 people responded to questions about social media use and the relationships between image type and the functions of social media in urban contexts. The second part of the study analyzes the results of coding one year of visual images tweeted by @CambMA, the municipal Twitter feed for the City of Cambridge, Massachusetts. These approaches required the development of new tools for analyzing visual communication and genre moves in specific media contexts. My research suggests that specific image types are suited for specific media functions in the context of visual communication in virtual urban environments and that some image types are especially effective in capturing and expressing the city. These findings provide potential strategies for municipal social media channels to consider in terms of how they communicate with their audiences.
ContributorsDel Nero, Zachary (Author) / Maid, Barry (Thesis advisor) / D'Angelo, Barbara (Committee member) / Mara, Andrew (Committee member) / Arizona State University (Publisher)
Created2019
Description
Social discounting underlies individual altruistic decision-making, and it is frequently measured as the amount of hypothetical money one is willing to forgo for another person as a function of social distance. In the classic social discounting task, individual participants are asked to imagine their friends along a continuum of social distance, that is then used to estimate participant’s social discounting rate. While an ever-growing proportion of social interactions takes place over social media, no research has yet characterized social discounting in that context. Moreover, no research has estimated social discounting rate using real persons’ social distance, instead of the hypothetical continuum described above. Using existing social media indicators of social distance, it is now possible to estimate social discounting rate based on real people, which may lead to more accurate social discounting measurements and may expand the discounting model to real-life situations. Specifically, using computer algorithms to estimate the social distance from social media data makes it possible to assess the utility of numeric social distance indicators and the most appropriate ways to represent them. The proposed study examined the extent to which a hyperbolic model for social discounting fits social distance information retrieved from Facebook pages; and assessed whether there were differences in discounting rate when real or hypothetical social distance is used; also to further investigate whether discounting rates based on real persons are in fact based on perceived social distance by the participant, or on the imaginary social distance scale (i.e., an experimental artifact.)
It was found that the social discounting model can be applied in the social media context, even when real Facebook friends’ profiles were used as substitutes of numeric social distance indicators. Additionally, people showed similar altruistic tendencies in both the numeric and profile social discounting tests on the Facebook environment. These findings were qualified, however, by a high rate of nonsystematic data for the profile group; a rate much higher than traditional numeric paradigm. This discrepancy suggested that the allocation rates between numeric and profile approaches need further investigation to determine the factors affecting individuals’ generosity as a function of social distance indicators.
It was found that the social discounting model can be applied in the social media context, even when real Facebook friends’ profiles were used as substitutes of numeric social distance indicators. Additionally, people showed similar altruistic tendencies in both the numeric and profile social discounting tests on the Facebook environment. These findings were qualified, however, by a high rate of nonsystematic data for the profile group; a rate much higher than traditional numeric paradigm. This discrepancy suggested that the allocation rates between numeric and profile approaches need further investigation to determine the factors affecting individuals’ generosity as a function of social distance indicators.
ContributorsJiang, Linle (Author) / Miller, Paul A. (Thesis advisor) / Robles-Sotelo, Elias (Committee member) / Silva, Yasin N. (Committee member) / Arizona State University (Publisher)
Created2018
Description
The emergence of social media in concert with improved camera and cell phone technologies has helped usher in an age of unprecedented visual communication which has radically changed the tourism industry worldwide. Serving as an important pillar of tourism and leisure studies, the concept of the tourist gaze has been left relatively unexamined within the context of this new visual world and more specifically image based social media. This phenomenological inquiry sought to explore how image based social media impacts the concept of the tourist gaze and furthermore to discover how the democratization of the gaze in concert with specific features of image based social media applications impacts the hermeneutic circle of the tourist gaze. This in-depth analysis of the user experience within the context of travel consisted of 19 semi-structured photo elicitation interviews and incorporated 57 participant generated photos. Six salient themes emerged from the study of this phenomenon; 1) sphere of influence, 2) exchange of information, 3) connections manifested, 4) impression management and content curation, 5) replicated travel photography, and 6) expectations. Analysis of these themes in conjunction with examples from the lived user experience demonstrate that the tourist gaze is being accelerated and expanded by image based social media in a rapid manner. Furthermore, democratization of the gaze as enabled by technological developments and specialized social media platforms is actively shifting the power role away from a small number of mass media influencers towards a larger number of branded individuals and social media influencers. Results of this inquiry support the theoretical assertions that the tourist gaze adapts to social and technological developments and demonstrates that the concept of the tourist gaze is increasingly important within tourism studies. Practical implications regarding the prevalence of real-time information, site visitation, and “taking only pictures” as sustainable touristic behavior are discussed.
ContributorsCampbell, Brenda Jean (Author) / Nyaupane, Gyan (Thesis advisor) / Lee, Woojin (Committee member) / Stone, Lesego (Committee member) / Arizona State University (Publisher)
Created2018
Description
Proliferation of social media websites and discussion forums in the last decade has resulted in social media mining emerging as an effective mechanism to extract consumer patterns. Most research on social media and pharmacovigilance have concentrated on
Adverse Drug Reaction (ADR) identification. Such methods employ a step of drug search followed by classification of the associated text as consisting an ADR or not. Although this method works efficiently for ADR classifications, if ADR evidence is present in users posts over time, drug mentions fail to capture such ADRs. It also fails to record additional user information which may provide an opportunity to perform an in-depth analysis for lifestyle habits and possible reasons for any medical problems.
Pre-market clinical trials for drugs generally do not include pregnant women, and so their effects on pregnancy outcomes are not discovered early. This thesis presents a thorough, alternative strategy for assessing the safety profiles of drugs during pregnancy by utilizing user timelines from social media. I explore the use of a variety of state-of-the-art social media mining techniques, including rule-based and machine learning techniques, to identify pregnant women, monitor their drug usage patterns, categorize their birth outcomes, and attempt to discover associations between drugs and bad birth outcomes.
The technique used models user timelines as longitudinal patient networks, which provide us with a variety of key information about pregnancy, drug usage, and post-
birth reactions. I evaluate the distinct parts of the pipeline separately, validating the usefulness of each step. The approach to use user timelines in this fashion has produced very encouraging results, and can be employed for a range of other important tasks where users/patients are required to be followed over time to derive population-based measures.
Adverse Drug Reaction (ADR) identification. Such methods employ a step of drug search followed by classification of the associated text as consisting an ADR or not. Although this method works efficiently for ADR classifications, if ADR evidence is present in users posts over time, drug mentions fail to capture such ADRs. It also fails to record additional user information which may provide an opportunity to perform an in-depth analysis for lifestyle habits and possible reasons for any medical problems.
Pre-market clinical trials for drugs generally do not include pregnant women, and so their effects on pregnancy outcomes are not discovered early. This thesis presents a thorough, alternative strategy for assessing the safety profiles of drugs during pregnancy by utilizing user timelines from social media. I explore the use of a variety of state-of-the-art social media mining techniques, including rule-based and machine learning techniques, to identify pregnant women, monitor their drug usage patterns, categorize their birth outcomes, and attempt to discover associations between drugs and bad birth outcomes.
The technique used models user timelines as longitudinal patient networks, which provide us with a variety of key information about pregnancy, drug usage, and post-
birth reactions. I evaluate the distinct parts of the pipeline separately, validating the usefulness of each step. The approach to use user timelines in this fashion has produced very encouraging results, and can be employed for a range of other important tasks where users/patients are required to be followed over time to derive population-based measures.
ContributorsChandrashekar, Pramod Bharadwaj (Author) / Davulcu, Hasan (Thesis advisor) / Gonzalez, Graciela (Thesis advisor) / Hsiao, Sharon (Committee member) / Arizona State University (Publisher)
Created2016