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- All Subjects: Social Media
- Creators: Byrne, Jared
- Status: Published
Despite the importance of personal information, in many cases people do not reveal this information to the public. Predicting the hidden or missing information is a common response to this challenge. In this thesis, we address the problem of predicting user attributes and future or missing links using an egocentric approach. The current research proposes novel concepts and approaches to better understand social media users in twofold including, a) their attributes, preferences, and interests, and b) their future or missing connections and interactions. More specifically, the contributions of this dissertation are (1) proposing a framework to study social media users through their attributes and link information, (2) proposing a scalable algorithm to predict user preferences; and (3) proposing a novel approach to predict attributes and links with limited information. The proposed algorithms use an egocentric approach to improve the state of the art algorithms in two directions. First by improving the prediction accuracy, and second, by increasing the scalability of the algorithms.
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.
As social media and technology continue to impact the way students communicate and receive information, it is encouraged that university student-run organizations utilize social media platforms as a tool to further the development of their organizations. Social media platforms allow student organizations to network, promote awareness of their organizations, current campus events, and provide the opportunity to develop strong associations and interactions among students. Overall, student-run organizations currently utilize a wide variety of social media; however, frequently it is used without a clear understanding of its role and best practices, which could lead to a loss of effectiveness in their communication with students. Therefore, these factors suggest the need for university student-run organizations to recognize and understand the opportunities that effective social media strategies can bring as a communication tool to enhance student engagement.
Marketing In The Digital Age, or MITDA is a start-up business that provides seminars and lectures on digital media marketing and social media algorithms to ASU students and small businesses. We work with social media influencers to host lectures and seminars on brand awareness at ASU, and then offer classes and consulting to small-businesses who are looking to expand their online brand awareness. The content that we focus on compromises many different aspects of digital media marketing: platform specific algorithms, trends, digital media content creation (such as Photoshop and Canva), influencer brand deals and sponsorships, and influencer consultations. With MITDA, ASU students and small businesses have the opportunity to hop on quick trends, build a marketable brand to Generation Z, and learn how to stay relevant in the new marketing world of influencers and content creators.
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.
Winners Circle is a collaborative application that allows friends, family members, and peers to communicate with each other about sports news and friendly wagers on teams and players. Through research and trial and error, a mock app was created by the team that combines breakout rooms that mimic a social media platform where users can identify news, scores, and perceptions of the outcome of games from other sports fans.