Matching Items (283)
Description
The original mediums were not texts or technologies; they were ritual actors performing acts of mediumship. Mediating between determined norms (the status quo) and emergent trends (change), they invoked divine authority to conjure meanings that proved adaptive, nonadaptive and/or maladaptive. With the advent of the written word, ritual became formalized and codified. The medium became a communication device, something abstract and external to the human condition. It then became possible to speak of "media effects" imposing influence in a logical deterministic manner. Yet with the advent of new media, we are witnessing a return to modes of cultural discourse that are spontaneous, interactive, communal and unscripted, all hallmarks of ritual action. This "ritual return" centers on the emergence of the "prosumer" (producer/consumer), a figure actively engaged in mediating practices. While resembling the original archaic "medium" in some respects, the prosumer is a "literate ritualist" allied with a multiplicity of cultural tribes. Thus the "new media" has given rise to "the new medium." The pages that follow focus on acts of contemporary mediumship, examining related concepts such as "ecology," "niche," "role," "affordance," and "trope." Each section considers how specific mediating practices afford and constrain modes of ritualized behavior. I call this practice-oriented approach to media studies "praxism."
ContributorsGyori, Bradford (Author) / Goggin, Maureen (Thesis advisor) / Baker, Aaron (Committee member) / Hjorleifur Jonsson (Committee member) / Arizona State University (Publisher)
Created2011
Description
Online social media is popular due to its real-time nature, extensive connectivity and a large user base. This motivates users to employ social media for seeking information by reaching out to their large number of social connections. Information seeking can manifest in the form of requests for personal and time-critical information or gathering perspectives on important issues. Social media platforms are not designed for resource seeking and experience large volumes of messages, leading to requests not being fulfilled satisfactorily. Designing frameworks to facilitate efficient information seeking in social media will help users to obtain appropriate assistance for their needs
and help platforms to increase user satisfaction.
Several challenges exist in the way of facilitating information seeking in social media. First, the characteristics affecting the user’s response time for a question are not known, making it hard to identify prompt responders. Second, the social context in which the user has asked the question has to be determined to find personalized responders. Third, users employ rhetorical requests, which are statements having the
syntax of questions, and systems assisting information seeking might be hindered from focusing on genuine questions. Fouth, social media advocates of political campaigns employ nuanced strategies to prevent users from obtaining balanced perspectives on
issues of public importance.
Sociological and linguistic studies on user behavior while making or responding to information seeking requests provides concepts drawing from which we can address these challenges. We propose methods to estimate the response time of the user for a given question to identify prompt responders. We compute the question specific social context an asker shares with his social connections to identify personalized responders. We draw from theories of political mobilization to model the behaviors arising from the strategies of people trying to skew perspectives. We identify rhetorical questions by modeling user motivations to post them.
and help platforms to increase user satisfaction.
Several challenges exist in the way of facilitating information seeking in social media. First, the characteristics affecting the user’s response time for a question are not known, making it hard to identify prompt responders. Second, the social context in which the user has asked the question has to be determined to find personalized responders. Third, users employ rhetorical requests, which are statements having the
syntax of questions, and systems assisting information seeking might be hindered from focusing on genuine questions. Fouth, social media advocates of political campaigns employ nuanced strategies to prevent users from obtaining balanced perspectives on
issues of public importance.
Sociological and linguistic studies on user behavior while making or responding to information seeking requests provides concepts drawing from which we can address these challenges. We propose methods to estimate the response time of the user for a given question to identify prompt responders. We compute the question specific social context an asker shares with his social connections to identify personalized responders. We draw from theories of political mobilization to model the behaviors arising from the strategies of people trying to skew perspectives. We identify rhetorical questions by modeling user motivations to post them.
ContributorsRanganath, Suhas (Author) / Liu, Huan (Thesis advisor) / Lai, Ying-Cheng (Thesis advisor) / Tong, Hanghang (Committee member) / Vaculin, Roman (Committee member) / Arizona State University (Publisher)
Created2017
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
Using an adapted Straussian Grounded Theory approach, and as a participant observer, data from members of a Facebook group made up of parents and caretakers of infants or children with Gastro Esophageal Reflux Disease (GERD) were collected and analyzed. During the first exploratory phase, 31 semi-structured interviews were conducted with 25 theoretically sampled members of the group. During the second phase, 604 postings (original and comments) created by members of the online social media group, for one week, were analyzed. The study explored various dimensions of informal learning in this space. These included what learning strategies members used, what types of knowledge were encouraged and shared, how community within the group was characterized and its role in the learning space, what factors led members to join and share knowledge, and what patterns of participation existed in the group.
The findings revealed a core concept of a disconnect between group members and their medical community that drove participation in the online health-related social media group, as well as a substantive theory of learning to survive. A new framework for understanding online informal learning spaces in social media was developed and proposed. It was adapted from Wenger’s Community of Practice and Gee’s Affinity Spaces. Its key components include a disconnect; inherent learning processes; community and space characteristics; and types of knowledge that are encouraged and available. Findings also contributed to a better understanding of online information-seeking behaviors by introducing a new model of information-seeking within online social media groups. This model includes the stages of initiating, lurking, and browsing; requesting information; being guided by a highly knowledgeable member; reconciling; applying; and appraising. The model is a continuous cycle with entry and exit permitted at each stage based on the learner’s needs. In addition, this study’s findings demonstrate that social media spaces are a viable avenue for the transferring of experience-based knowledge.
The findings revealed a core concept of a disconnect between group members and their medical community that drove participation in the online health-related social media group, as well as a substantive theory of learning to survive. A new framework for understanding online informal learning spaces in social media was developed and proposed. It was adapted from Wenger’s Community of Practice and Gee’s Affinity Spaces. Its key components include a disconnect; inherent learning processes; community and space characteristics; and types of knowledge that are encouraged and available. Findings also contributed to a better understanding of online information-seeking behaviors by introducing a new model of information-seeking within online social media groups. This model includes the stages of initiating, lurking, and browsing; requesting information; being guided by a highly knowledgeable member; reconciling; applying; and appraising. The model is a continuous cycle with entry and exit permitted at each stage based on the learner’s needs. In addition, this study’s findings demonstrate that social media spaces are a viable avenue for the transferring of experience-based knowledge.
ContributorsVargas Wright, Jenny (Author) / Savenye, Wilhelmina C. (Thesis advisor) / Archambault, Leanna (Thesis advisor) / Zuiker, Steven J. (Committee member) / Arizona State University (Publisher)
Created2018
Description
Broadcast journalists often report on people dealing with illness or physical hardship, their difficulties and triumphs. But what happens when journalists personally experience those kinds of health-related issues? This study explores how 24 local and national on-air journalists share how they manage life with illness and hardship using personal narratives shared on their professional social media pages, detailing how the journalists navigate sharing a deeply personal experience while maintaining a professional journalistic persona. Thematic analysis found the journalists’ performed three acts when sharing personal health information in a public forum: they reported on their illness, they were transparent, and they justified their actions. Within the three themes a range of expression – from personal to professional – and influences over content were found, leading to the final overarching theme, implications and consequences on content creation. This dissertation finds a complicated struggle to maintain a professional self while acknowledging the urge to connect with others through a deeply personal experience.
ContributorsPellizzaro, Kirstin Nicole (Author) / Thornton, Leslie-Jean (Thesis advisor) / Silcock, Bill (Committee member) / Kwon, K. Hazel (Committee member) / Cheong, Pauline (Committee member) / Arizona State University (Publisher)
Created2019
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
When preparing for and responding to disasters, humanitarian organizations must run effective and efficient supply chains to deliver the resources needed by the affected population. The management of humanitarian supply chains include coordinating the flows of goods, finances, and information. This dissertation examines how humanitarian organizations can improve the distribution of information, which is critical for the planning and coordination of the other two flows. Specifically, I study the diffusion of information on social media platforms since such platforms have emerged as useful communication tools for humanitarian organizations during times of crisis.
In the first chapter, I identify several factors that affect how quickly information spreads on social media platforms. I utilized Twitter data from Hurricane Sandy, and the results indicate that the timing of information release and the influence of the content’s author determine information diffusion speed. The second chapter of this dissertation builds directly on the first study by also evaluating the rate at which social media content diffuses. A piece of content does not diffuse in isolation but, rather, coexists with other content on the same social media platform. After analyzing Twitter data from four distinct crises, the results indicate that other content’s diffusion often dampens a specific post’s diffusion speed. This is important for humanitarian organizations to recognize and carries implications for how they can coordinate with other organizations to avoid inhibiting the propagation of each other’s social media content. Finally, a user’s followers on social media platforms represent the user’s direct audience. The larger the user’s follower base, the more easily the same user can extensively broadcast information. Therefore, I study what drives the growth of humanitarian organizations’ follower bases during times of normalcy and emergency using Twitter data from one week before and one week after the 2016 Ecuador earthquake.
In the first chapter, I identify several factors that affect how quickly information spreads on social media platforms. I utilized Twitter data from Hurricane Sandy, and the results indicate that the timing of information release and the influence of the content’s author determine information diffusion speed. The second chapter of this dissertation builds directly on the first study by also evaluating the rate at which social media content diffuses. A piece of content does not diffuse in isolation but, rather, coexists with other content on the same social media platform. After analyzing Twitter data from four distinct crises, the results indicate that other content’s diffusion often dampens a specific post’s diffusion speed. This is important for humanitarian organizations to recognize and carries implications for how they can coordinate with other organizations to avoid inhibiting the propagation of each other’s social media content. Finally, a user’s followers on social media platforms represent the user’s direct audience. The larger the user’s follower base, the more easily the same user can extensively broadcast information. Therefore, I study what drives the growth of humanitarian organizations’ follower bases during times of normalcy and emergency using Twitter data from one week before and one week after the 2016 Ecuador earthquake.
ContributorsYoo, Eunae (Author) / Rabinovich, Elliot (Thesis advisor) / Gu, Bin (Thesis advisor) / Rand, William (Committee member) / Fowler, John (Committee member) / Arizona State University (Publisher)
Created2018
Description
This research start utilizing an efficient sparse inverse covariance matrix (precision matrix) estimation technique to identify a set of highly correlated discriminative perspectives between radical and counter-radical groups. A ranking system has been developed that utilizes ranked perspectives to map Islamic organizations on a set of socio-cultural, political and behavioral scales based on their web site corpus. Simultaneously, a gold standard ranking of these organizations was created through domain experts and compute expert-to-expert agreements and present experimental results comparing the performance of the QUIC based scaling system to another baseline method for organizations. The QUIC based algorithm not only outperforms the baseline methods, but it is also the only system that consistently performs at area expert-level accuracies for all scales. Also, a multi-scale ideological model has been developed and it investigates the correlates of Islamic extremism in Indonesia, Nigeria and UK. This analysis demonstrate that violence does not correlate strongly with broad Muslim theological or sectarian orientations; it shows that religious diversity intolerance is the only consistent and statistically significant ideological correlate of Islamic extremism in these countries, alongside desire for political change in UK and Indonesia, and social change in Nigeria. Next, dynamic issues and communities tracking system based on NMF(Non-negative Matrix Factorization) co-clustering algorithm has been built to better understand the dynamics of virtual communities. The system used between Iran and Saudi Arabia to build and apply a multi-party agent-based model that can demonstrate the role of wedges and spoilers in a complex environment where coalitions are dynamic. Lastly, a visual intelligence platform for tracking the diffusion of online social movements has been developed called LookingGlass to track the geographical footprint, shifting positions and flows of individuals, topics and perspectives between groups. The algorithm utilize large amounts of text collected from a wide variety of organizations’ media outlets to discover their hotly debated topics, and their discriminative perspectives voiced by opposing camps organized into multiple scales. Discriminating perspectives is utilized to classify and map individual Tweeter’s message content to social movements based on the perspectives expressed in their tweets.
ContributorsKim, Nyunsu (Author) / Davulcu, Hasan (Thesis advisor) / Sen, Arunabha (Committee member) / Hsiao, Sharon (Committee member) / Corman, Steven (Committee member) / Arizona State University (Publisher)
Created2018
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