Matching Items (14)
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- All Subjects: Social Media
- Creators: Dean, W.P. Carey School of Business
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
The pervasive use of social media gives it a crucial role in helping the public perceive reliable information. Meanwhile, the openness and timeliness of social networking sites also allow for the rapid creation and dissemination of misinformation. It becomes increasingly difficult for online users to find accurate and trustworthy information. As witnessed in recent incidents of misinformation, it escalates quickly and can impact social media users with undesirable consequences and wreak havoc instantaneously. Different from some existing research in psychology and social sciences about misinformation, social media platforms pose unprecedented challenges for misinformation detection. First, intentional spreaders of misinformation will actively disguise themselves. Second, content of misinformation may be manipulated to avoid being detected, while abundant contextual information may play a vital role in detecting it. Third, not only accuracy, earliness of a detection method is also important in containing misinformation from being viral. Fourth, social media platforms have been used as a fundamental data source for various disciplines, and these research may have been conducted in the presence of misinformation. To tackle the challenges, we focus on developing machine learning algorithms that are robust to adversarial manipulation and data scarcity.
The main objective of this dissertation is to provide a systematic study of misinformation detection in social media. To tackle the challenges of adversarial attacks, I propose adaptive detection algorithms to deal with the active manipulations of misinformation spreaders via content and networks. To facilitate content-based approaches, I analyze the contextual data of misinformation and propose to incorporate the specific contextual patterns of misinformation into a principled detection framework. Considering its rapidly growing nature, I study how misinformation can be detected at an early stage. In particular, I focus on the challenge of data scarcity and propose a novel framework to enable historical data to be utilized for emerging incidents that are seemingly irrelevant. With misinformation being viral, applications that rely on social media data face the challenge of corrupted data. To this end, I present robust statistical relational learning and personalization algorithms to minimize the negative effect of misinformation.
The main objective of this dissertation is to provide a systematic study of misinformation detection in social media. To tackle the challenges of adversarial attacks, I propose adaptive detection algorithms to deal with the active manipulations of misinformation spreaders via content and networks. To facilitate content-based approaches, I analyze the contextual data of misinformation and propose to incorporate the specific contextual patterns of misinformation into a principled detection framework. Considering its rapidly growing nature, I study how misinformation can be detected at an early stage. In particular, I focus on the challenge of data scarcity and propose a novel framework to enable historical data to be utilized for emerging incidents that are seemingly irrelevant. With misinformation being viral, applications that rely on social media data face the challenge of corrupted data. To this end, I present robust statistical relational learning and personalization algorithms to minimize the negative effect of misinformation.
ContributorsWu, Liang (Author) / Liu, Huan (Thesis advisor) / Tong, Hanghang (Committee member) / Doupe, Adam (Committee member) / Davison, Brian D. (Committee member) / Arizona State University (Publisher)
Created2019
Description
Everyone has a story to tell. Marketing nowadays is less about what is being made and more about how it is being told. Integrate an exciting or interesting story with sports and that is the ultimate storytelling experience. Social media has completely changed the game for professional teams when it comes to how teams are telling their digital stories and engaging with fans. Entire social media teams exist in these organizations, which is something that did not exist not too long ago. The rise in fans experiencing and viewing social media platforms is altering how teams engage, connect, and communicate with fans.
When it comes to my story, I wanted to make sure I told one that was interesting, relevant and worthwhile. I felt lost for quite some time in regards to what direction I wanted to take with my thesis. After meeting with Dan Moriarty and Kevin Brilliant of the Chicago Bulls during an outreach trip with the Sports Business Association, I knew I wanted to gain more insight into how teams are telling their digital stories and connecting with their fans. I wanted to learn more about how teams across the country are playing the game of social media and what strategies they put into place to be impactful and successful. I wanted to learn the value teams found in social media and how social media impacts the organizations as a whole, specifically in revenue generation. Most importantly, I wanted to learn how teams are engaging with fans and how social media has changed the world of sports. This research includes insights from various individuals in the industry as well as survey data from W. P. Carey students. The accumulation of this thesis has resulted in a closer look into social media in the sports industry and how teams are measuring success in the digital space.
When it comes to my story, I wanted to make sure I told one that was interesting, relevant and worthwhile. I felt lost for quite some time in regards to what direction I wanted to take with my thesis. After meeting with Dan Moriarty and Kevin Brilliant of the Chicago Bulls during an outreach trip with the Sports Business Association, I knew I wanted to gain more insight into how teams are telling their digital stories and connecting with their fans. I wanted to learn more about how teams across the country are playing the game of social media and what strategies they put into place to be impactful and successful. I wanted to learn the value teams found in social media and how social media impacts the organizations as a whole, specifically in revenue generation. Most importantly, I wanted to learn how teams are engaging with fans and how social media has changed the world of sports. This research includes insights from various individuals in the industry as well as survey data from W. P. Carey students. The accumulation of this thesis has resulted in a closer look into social media in the sports industry and how teams are measuring success in the digital space.
ContributorsMaguire, Allison Marie (Author) / Eaton, John (Thesis director) / Mokwa, Michael (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Cyberbullying is a phenomenon which negatively affects individuals. Victims of the cyberbullying suffer from a range of mental issues, ranging from depression to low self-esteem. Due to the advent of the social media platforms, cyberbullying is becoming more and more prevalent. Traditional mechanisms to fight against cyberbullying include use of standards and guidelines, human moderators, use of blacklists based on profane words, and regular expressions to manually detect cyberbullying. However, these mechanisms fall short in social media and do not scale well. Users in social media use intentional evasive expressions like, obfuscation of abusive words, which necessitates the development of a sophisticated learning framework to automatically detect new cyberbullying behaviors. Cyberbullying detection in social media is a challenging task due to short, noisy and unstructured content and intentional obfuscation of the abusive words or phrases by social media users. Motivated by sociological and psychological findings on bullying behavior and its correlation with emotions, we propose to leverage the sentiment information to accurately detect cyberbullying behavior in social media by proposing an effective optimization framework. Experimental results on two real-world social media datasets show the superiority of the proposed framework. Further studies validate the effectiveness of leveraging sentiment information for cyberbullying detection.
ContributorsDani, Harsh (Author) / Liu, Huan (Thesis advisor) / Tong, Hanghang (Committee member) / He, Jingrui (Committee member) / Arizona State University (Publisher)
Created2017
Description
Shifting Horizons in Entrepreneurship, better known as SHE is a multimedia reporting project that explores the experiences and narratives of Arizona-based female business owners. This collaborative project uses multimedia reporting techniques such as writing, photography, social media and a podcast to showcase how women are making a space for themselves in entrepreneurship.
ContributorsBlakslee, Mara (Author) / Dow, Olivia (Co-author) / Sepessy, Celeste (Thesis director) / Hinz, Krista (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor)
Created2023-05
Description
Social media has shifted the fashion industry to a new norm of fast fashion. This study examines the impact of social media marketing tactics utilized by the fashion industry, to determine the long-lasting effects on the environment. Primarily, research was conducted through a literature review to analyze the history of the fashion industry, as well as the shift to fast fashion, which encompasses microtrends, overproduction, overconsumption, and product utilization. Later, the literature review analyzes the environmental impact pertaining to each part of the product life cycle. Finally, two surveys were created and distributed to Arizona State University students in the W.P. Carey School of Business to further understand consumer behavior, opinions, and prominent purchase factors present in their decisions. The data interpretation from both surveys correlates to the research findings in the literature review, connecting the idea of low consumer value for ethical sustainability in purchasing habits, in addition to the level that student purchase habits are influenced by social media in respondents aged 18-24. This research provides the basis for needed legislation and corporate initiative, to alleviate the environment from the hazardous consequences of the fast fashion market.
ContributorsAbuasba, Nadia (Author) / Eaton, John (Thesis director) / Mokwa, Michael (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
Description
A sports-betting social media platform designed to centralize the sports-betting world. With live updates, chat-rooms (individual and group), and competitive pick'ems and leaderboards, this app can become exponentially popular and profitable with the increase in sports-betting legality around the United States.
ContributorsSklar, Jack (Author) / Poremba, Charlie (Co-author) / Mauri, Angelo (Co-author) / Kenehan, Nick (Co-author) / Byrne, Jared (Thesis director) / Swader, Melissa (Committee member) / Smith, Keaton (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor)
Created2023-05
Description
The Winner's Circle aims to provide a digital platform for sports fans and betting addicts, in hopes to help centralize various forms of social communication between family, close friends, and strangers alike. As the legalization of sports related gambling activities become more widespread throughout the United States as well as the rest of the world, our platform has to potential to connect millions of like-minded, adrenaline-seeking fans across the globe.
ContributorsKenehan, Nicholas (Author) / Mauri, Angelo (Co-author) / Sklar, Jack (Co-author) / Poremba, Charlie (Co-author) / Byrne, Jared (Thesis director) / Swader, Melissa (Committee member) / Smith, Keaton (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
Description
This project includes a marketing plan for a local small business, Island Mochi. It examines the business and best practices in the industry to inform the marketing plan. The purpose of the marketing plan is to grow Island Mochi's sales by using digital marketing and public relations strategies. The components of the marketing plan include an executive summary, environmental analysis, SWOT analysis, customer personas, PR and marketing objectives, strategies and tactics, and an outline of the implementation and evaluation procedures.
ContributorsOlivas, Angelica (Author) / Bonilla, Luis (Thesis director) / Bovio, Sonia (Committee member) / Hass, Mark (Committee member) / Barrett, The Honors College (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2021-12
Description
Breakin Media is a social media consulting agency that targets small business owners (comedians) specifically in the Baby Boomer, Generation X, and Older Millennial category. Comedians, specifically, who are auditioning for shows or going to comedy clubs, may not be seeing the same level of success as another comedian who has a large social media following. This is true for most industries. Small businesses who do not have social media have lower rates of customer satisfaction and revenue. This business is about educating, analyzing, and building business owners so they too can feel part of the social media revolution.
This business uses research and data from different social media comedians in order to create a guide for comedians who own comedy clubs or are trying to break into show business. This thesis includes the logistics of starting a business. It will outline the financing and pricing of a service like this for individuals and businesses. This also outlines the generational stigma of social media, and the difficulties an older generation is currently facing when wanting to expand their business into social media.
The Breakin Media business model assesses each client on a set of five pillars, which have been found by research to affect follower count. The five pillars are relatability, targeted marketing, consistency, high-quality content, and algorithm alignment. Each pillar is dissected and used to increase the exposure of every comedian. There is a 3 tier system for pricing that outlines the costs of each service, and an infographic to guide each client. This thesis is about bridging a gap in generations, and increasing success for small businesses, specifically in theatre and comedy.
This business uses research and data from different social media comedians in order to create a guide for comedians who own comedy clubs or are trying to break into show business. This thesis includes the logistics of starting a business. It will outline the financing and pricing of a service like this for individuals and businesses. This also outlines the generational stigma of social media, and the difficulties an older generation is currently facing when wanting to expand their business into social media.
The Breakin Media business model assesses each client on a set of five pillars, which have been found by research to affect follower count. The five pillars are relatability, targeted marketing, consistency, high-quality content, and algorithm alignment. Each pillar is dissected and used to increase the exposure of every comedian. There is a 3 tier system for pricing that outlines the costs of each service, and an infographic to guide each client. This thesis is about bridging a gap in generations, and increasing success for small businesses, specifically in theatre and comedy.
ContributorsVazquez, Margot (Author) / Bruhn, Karen (Thesis director) / Heinzmann, Sandra (Committee member) / Department of Marketing (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-12