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- Member of: ASU Electronic Theses and Dissertations
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
The purpose of this study was to determine if social capital for parents in a low-income urban school would develop through structured or unstructured parent-teacher meetings. The parent-teacher meetings were developed to provide opportunities for parents and teachers to meet to build relationships and develop trust through teaching and learning how to support reading fluency and reading comprehension strategies. In order to build relationships between parents and teachers both parties need to trust one another. Trust is the foundation of relationships but before parties can trust one another, opportunities to form relationships need to be provided. In the case of parents and teachers, the study suggests that the parent-teacher meetings might be a starting point to provide opportunities to form trusting relationships. As parents and teachers work collaboratively to support the academic needs of the children, parents will increase their social capital and learn how to navigate the school system. The findings of the parent-teacher meetings showed that the perceptions of parents and teachers varied. The findings of the study did not display any noticeable differences in responses between the structured and unstructured group of participants. Parents appreciated meeting with teachers to learn how to support student learning at home and believed teachers were influential in the educational experience of their children. Teachers believed: parents want to support student learning at home, but lack academic skills; parents are the influential in the educational experience of the students; and parents are hesitant to ask school staff for help.
ContributorsHidalgo, Rosanna (Author) / McCoy, Kathleen M. (Thesis advisor) / Zehrbach, Gareth D (Committee member) / Cocchiarella, Martha A (Committee member) / Arizona State University (Publisher)
Created2013
Description
A myriad of social media services are emerging in recent years that allow people to communicate and express themselves conveniently and easily. The pervasive use of social media generates massive data at an unprecedented rate. It becomes increasingly difficult for online users to find relevant information or, in other words, exacerbates the information overload problem. Meanwhile, users in social media can be both passive content consumers and active content producers, causing the quality of user-generated content can vary dramatically from excellence to abuse or spam, which results in a problem of information credibility. Trust, providing evidence about with whom users can trust to share information and from whom users can accept information without additional verification, plays a crucial role in helping online users collect relevant and reliable information. It has been proven to be an effective way to mitigate information overload and credibility problems and has attracted increasing attention.
As the conceptual counterpart of trust, distrust could be as important as trust and its value has been widely recognized by social sciences in the physical world. However, little attention is paid on distrust in social media. Social media differs from the physical world - (1) its data is passively observed, large-scale, incomplete, noisy and embedded with rich heterogeneous sources; and (2) distrust is generally unavailable in social media. These unique properties of social media present novel challenges for computing distrust in social media: (1) passively observed social media data does not provide necessary information social scientists use to understand distrust, how can I understand distrust in social media? (2) distrust is usually invisible in social media, how can I make invisible distrust visible by leveraging unique properties of social media data? and (3) little is known about distrust and its role in social media applications, how can distrust help make difference in social media applications?
The chief objective of this dissertation is to figure out solutions to these challenges via innovative research and novel methods. In particular, computational tasks are designed to {\it understand distrust}, a innovative task, i.e., {\it predicting distrust} is proposed with novel frameworks to make invisible distrust visible, and principled approaches are develop to {\it apply distrust} in social media applications. Since distrust is a special type of negative links, I demonstrate the generalization of properties and algorithms of distrust to negative links, i.e., {\it generalizing findings of distrust}, which greatly expands the boundaries of research of distrust and largely broadens its applications in social media.
As the conceptual counterpart of trust, distrust could be as important as trust and its value has been widely recognized by social sciences in the physical world. However, little attention is paid on distrust in social media. Social media differs from the physical world - (1) its data is passively observed, large-scale, incomplete, noisy and embedded with rich heterogeneous sources; and (2) distrust is generally unavailable in social media. These unique properties of social media present novel challenges for computing distrust in social media: (1) passively observed social media data does not provide necessary information social scientists use to understand distrust, how can I understand distrust in social media? (2) distrust is usually invisible in social media, how can I make invisible distrust visible by leveraging unique properties of social media data? and (3) little is known about distrust and its role in social media applications, how can distrust help make difference in social media applications?
The chief objective of this dissertation is to figure out solutions to these challenges via innovative research and novel methods. In particular, computational tasks are designed to {\it understand distrust}, a innovative task, i.e., {\it predicting distrust} is proposed with novel frameworks to make invisible distrust visible, and principled approaches are develop to {\it apply distrust} in social media applications. Since distrust is a special type of negative links, I demonstrate the generalization of properties and algorithms of distrust to negative links, i.e., {\it generalizing findings of distrust}, which greatly expands the boundaries of research of distrust and largely broadens its applications in social media.
ContributorsTang, Jiliang (Author) / Liu, Huan (Thesis advisor) / Xue, Guoliang (Committee member) / Ye, Jieping (Committee member) / Aggarwal, Charu (Committee member) / Arizona State University (Publisher)
Created2015
Description
Preschool children with language delays often struggle to learn new concepts. Proven strategies such as modeling, prompting, reinforcing responses, direct teaching, and hands-on experience matter to young children with language delays. Also important are social interactions and shared experiences with more knowledgeable persons. Within a cultural context Funds of Knowledge, that is the talents, traditions, and abilities families possess and pass down to their children may be a context for these. However, despite their importance the value Funds of Knowledge have has not been explored with parents of children with special needs. This action research study used a mixed-methods design to understand if Funds of Knowledge could be used as context to improve communication between parents and their children and build trust between parents and a teacher. Seven families participated in the study. Quantitative data were gathered with surveys and were analyzed with descriptive statistics. Qualitative data consisted of transcripts from home-visit interviews, parent presentations, and a focus group, and were analyzed with a grounded theory approach. Results indicate parents entered the study with trust in the teacher especially in terms of having competence in her abilities. Data also show that parents used the language strategies provided to improve communication with their children. Data also indicate that the use of a Funds of Knowledge activity allowed parents to share their knowledge and interests with their children and children in the classroom, feel empowered, and express emotions. From these findings, implication for practice and further research are provided.
ContributorsGonzalez, Alissa Quintero (Author) / Zambo, Debby (Committee member) / Hansen, Cory (Committee member) / Villamil-Rubin, Aura (Committee member) / Arizona State University (Publisher)
Created2014
Description
Human-robot interaction has expanded immensely within dynamic environments. The goals of human-robot interaction are to increase productivity, efficiency and safety. In order for the integration of human-robot interaction to be seamless and effective humans must be willing to trust the capabilities of assistive robots. A major priority for human-robot interaction should be to understand how human dyads have been historically effective within a joint-task setting. This will ensure that all goals can be met in human robot settings. The aim of the present study was to examine human dyads and the effects of an unexpected interruption. Humans’ interpersonal and individual levels of trust were studied in order to draw appropriate conclusions. Seventeen undergraduate and graduate level dyads were collected from Arizona State University. Participants were broken up into either a surprise condition or a baseline condition. Participants individually took two surveys in order to have an accurate understanding of levels of dispositional and individual levels of trust. The findings showed that participant levels of interpersonal trust were average. Surprisingly, participants who participated in the surprise condition afterwards, showed moderate to high levels of dyad trust. This effect showed that participants became more reliant on their partners when interrupted by a surprising event. Future studies will take this knowledge and apply it to human-robot interaction, in order to mimic the seamless team-interaction shown in historically effective dyads, specifically human team interaction.
ContributorsShaw, Alexandra Luann (Author) / Chiou, Erin (Thesis advisor) / Cooke, Nancy J. (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2019
Description
Social scientists from many disciplines have examined trust, including trust between those with different religious affiliations, emotional antecedents of trust, and physiological correlates of trust. However, little is known about how all of these factors intersect to shape trust behaviors. The current study aimed to examine physiological responses while individuals engaged in a trust game with a religious in-group or out-group member. Participants were randomly assigned to one of four conditions in which they were presented with the target’s profile before playing the game. In each of the conditions the target was described as either Catholic or Muslim and as someone who engaged in either costly signaling or anti-costly signaling behavior. In addition to assessing the amount of money invested as a behavioral measure of trust, physiological responses, specifically cardiac interbeat interval (IBI) and respiratory sinus arrhythmia (RSA), were measured. I hypothesized that when playing the trust game with a Catholic target as opposed to a Muslim target, Christian participants would (1) report being more similar to the target, (2) trust the target more, (3) invest more money in the target, (4) have a more positive outlook on the amount invested, and (5) show greater cardiorespiratory down-regulation, reflected by increases in IBI and RSA. Findings revealed that Christian participants reported greater similarity and showed a non-significant trend toward reporting a more positive outlook on (greater confidence in/satisfaction with) their investment decision when playing a Catholic versus Muslim target. Additionally, Christian participants who played an anti-costly signaling Catholic target showed greater cardiorespiratory down-regulation (increases from baseline for IBI, reflecting slower heart rate, and increases in RSA) than Christian participants who played an anti-costly signaling Muslim target. Results from this study echo previous findings suggesting that perceived similarity may facilitate trust. Findings also are consistent with previous research suggesting that religious ingroup or outgroup membership may not be as influential in shaping trust decisions if the trustee is costly signaling; for anti-signaling, however, cardiorespiratory down-regulation to a religious ingroup member may be apparent. These physiological signals may provide interoceptive information about a peer’s trustworthiness.
ContributorsThibault, Stephanie A (Author) / Roberts, Nicole A. (Thesis advisor) / Burleson, Mary (Committee member) / Hall, Deborah (Committee member) / Arizona State University (Publisher)
Created2019
Description现今的理论研究及实践表明，供应链上各个企业进行协调运作的基础是节点企业间有效信息进行高效传递。但供应链上下游企业在合作过程中通常存在信息不完全对称现象、牛鞭效应等问题，供应链中信息传递的实时性及真实性受到较大影响，这也是导致供应链管理整体效率不高的原因之一。因此，供应链伙伴间信息共享问题已是国内外学者普遍关注的焦点。本文旨在针对目前我国家居供应链企业间信息沟通不畅、信息共享不充分的问题及其理论研究的不足，来开展针对影响家居供应链企业间信息共享因素的实证研究。本文基于家居供应链这一特殊的行业供应链，建立基于家居供应链企业间信息共享关键影响因素理论模型，通过实证方法来寻找影响供应链企业间信息共享的关键因素及其具体影响程度。
在已有文献的基础上，本文提出信任、共同愿景、信息技术能力、渠道权力结构与信息共享间影响关系的概念模型，并对长三角及珠三角地区家居供应链经销商企业进行问卷调查研究。最后在回收的 164 份有效问卷基础上通过数据分析来验证假设。研究结果显示：(1)不论是家居工厂与经销商间还是家居卖场与经销商间，信任对共享信息的内容和质量都有显著正向影响。(2)家居工厂与经销商间的共同愿景对彼此间信息共享内容有显著正向影响作用，但对信息共享质量作用不明显。而家居卖场与经销商间的共同愿景对信息共享的内容和质量都有正向影响作用。(3)经销商的信息技术能力对双方间信息共享的内容和质量都有显著影响，同时，还能促进家居工厂与经销商之间的信任，间接影响双方的信息共享程度。(4) 家居卖场与经销商间的渠道权力对双方间的信任程度有显著影响，而对双方间的信息共享没有直接影响。
本研究主要研究贡献在于：发现影响家居供应链信息共享的关键因素，弥补了现有文献对中国供应链企业信息共享影响因素研究的不足，特别聚焦于家居供应链；从供应链上下游整体角度出发，探讨了中国情境下信任、共同愿景、信息技术能力和渠道权力结构与信息共享之间的作用机理。
在已有文献的基础上，本文提出信任、共同愿景、信息技术能力、渠道权力结构与信息共享间影响关系的概念模型，并对长三角及珠三角地区家居供应链经销商企业进行问卷调查研究。最后在回收的 164 份有效问卷基础上通过数据分析来验证假设。研究结果显示：(1)不论是家居工厂与经销商间还是家居卖场与经销商间，信任对共享信息的内容和质量都有显著正向影响。(2)家居工厂与经销商间的共同愿景对彼此间信息共享内容有显著正向影响作用，但对信息共享质量作用不明显。而家居卖场与经销商间的共同愿景对信息共享的内容和质量都有正向影响作用。(3)经销商的信息技术能力对双方间信息共享的内容和质量都有显著影响，同时，还能促进家居工厂与经销商之间的信任，间接影响双方的信息共享程度。(4) 家居卖场与经销商间的渠道权力对双方间的信任程度有显著影响，而对双方间的信息共享没有直接影响。
本研究主要研究贡献在于：发现影响家居供应链信息共享的关键因素，弥补了现有文献对中国供应链企业信息共享影响因素研究的不足，特别聚焦于家居供应链；从供应链上下游整体角度出发，探讨了中国情境下信任、共同愿景、信息技术能力和渠道权力结构与信息共享之间的作用机理。
ContributorsYang, Yu (Author) / Gu, Bin (Thesis advisor) / Chen, Xinlei (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2019
Description
Reading partners’ actions correctly is essential for successful coordination, but interpretation does not always reflect reality. Attribution biases, such as self-serving and correspondence biases, lead people to misinterpret their partners’ actions and falsely assign blame after an unexpected event. These biases thus further influence people’s trust in their partners, including machine partners. The increasing capabilities and complexity of machines allow them to work physically with humans. However, their improvements may interfere with the accuracy for people to calibrate trust in machines and their capabilities, which requires an understanding of attribution biases’ effect on human-machine coordination. Specifically, the current thesis explores how the development of trust in a partner is influenced by attribution biases and people’s assignment of blame for a negative outcome. This study can also suggest how a machine partner should be designed to react to environmental disturbances and report the appropriate level of information about external conditions.
ContributorsHsiung, Chi-Ping (M.S.) (Author) / Chiou, Erin (Thesis advisor) / Cooke, Nancy J. (Thesis advisor) / Zhang, Wenlong (Committee member) / Arizona State University (Publisher)
Created2019
Description
This study examined the quality of professional life at a Title I school that has achieved the Arizona Department of Education's highest accountability rating of Excelling for eight consecutive years. By examining the factors that influence the school environment including teachers' attitudes and the connections within the teacher community at this school, a description emerged of the factors that influenced the quality of professional lives of teachers. This descriptive study sought to describe, "What is the quality of professional life for teachers at a Title I elementary school with a history of high levels of student achievement?" The research was conducted at Seneca Elementary school (a pseudonym) in the Seneca School District (a pseudonym). By examining the quality of professional life for teachers in a highly ranked Title I school, a better understanding of the quality of professional life may lead to recommendations for other schools with high levels of poverty on how to support teachers who work in high poverty schools. Within a theoretical framework of motivation-hygiene theory and socio cultural theory, the study identified principal leadership as a primary supporting factor of quality of professional life. The study also identified lack of input and lack of teacher control over curriculum and instruction as barriers to quality of professional life. Teachers described principal leadership, environment, social factors and teacher identity as contributors to enhancing the quality of professional life. Trust and focus emerged as additional factors that improved the workplace for teachers.
ContributorsThomas, Jeffrey J (Author) / Danzig, Arnold (Thesis advisor) / Fischman, Gustavo (Committee member) / Boyle, Charlotte (Committee member) / Arizona State University (Publisher)
Created2011
Description
With the growth of autonomous vehicles’ prevalence, it is important to understand the relationship between autonomous vehicles and the other drivers around them. More specifically, how does one’s knowledge about autonomous vehicles (AV) affect positive and negative affect towards driving in their presence? Furthermore, how does trust of autonomous vehicles correlate with those emotions? These questions were addressed by conducting a survey to measure participant’s positive affect, negative affect, and trust when driving in the presence of autonomous vehicles. Participants’ were issued a pretest measuring existing knowledge of autonomous vehicles, followed by measures of affect and trust. After completing this pre-test portion of the study, participants were given information about how autonomous vehicles work, and were then presented with a posttest identical to the pretest. The educational intervention had no effect on positive or negative affect, though there was a positive relationship between positive affect and trust and a negative relationship between negative affect and trust. These findings will be used to inform future research endeavors researching trust and autonomous vehicles using a test bed developed at Arizona State University. This test bed allows for researchers to examine the behavior of multiple participants at the same time and include autonomous vehicles in studies.
ContributorsMartin, Sterling (Author) / Cooke, Nancy J. (Thesis advisor) / Chiou, Erin (Committee member) / Gray, Robert (Committee member) / Arizona State University (Publisher)
Created2019