Social Media Commons^™

The Emerging Social Media Water Cooler? Motivations For Reddit Use In A Niche League, Jan Boehmer, Brendan O'Hallarn

Communication & Theatre Arts Faculty Publications

Social media play a key role in sport marketing—with athletes, teams, and leagues directly engaging with their audiences. While Facebook, Instagram, and Twitter have received much attention in the sport marketing and communication literature, research on Reddit is scant. This is particularly noteworthy, as the platform is growing rapidly and promises utility for users with nonmainstream interests to find and engage with each other. This study employs a uses and gratifications approach to investigate how prevalent Reddit use is among fans of the United Football League (UFL), what motivates users to engage with the platform, and whether Reddit use leads …

Causal Effect Estimates Of Online E-Cigarette Marketing Exposure On Future E-Cigarette Harm Perception And Use, Paul T. Harrell, Nicholas T. Williams, Kara E. Rudolph, Rachel Ayala Guzman, Ateeqa Ijaz, Nicole Rychagov, Aaron Null, Silvia S. Martins

Department of Pediatrics Faculty Publications

Background

Globally, over 10 million youth use e-cigarettes; United States use, in particular, dramatically rose in the late 2010's, exceeding year-over-year increases from any other substance in over four decades. This rise has been partially attributed to youth online e-cigarette marketing exposure, but has not been appropriately studied.

Methods

We examined youth data from the Population Assessment of Tobacco and Health (PATH) spanning the dramatic increase period (Waves 4, 4.5, and 5; 2016-2019). We estimated average risk differences (RD) for Wave 5 e-cigarette harmfulness perception and use comparing all youth versus no youth reporting past-month online e-cigarette marketing exposure in …

Socio-Spatial Patterns Of Suicide Mortality In The United States, Kushagra Tiwari, M. Amin Rahimian, Marie-Laure Charpignon, Philippe J. Giabbanelli, Praveen Kumar

VMASC Publications

Suicides cause more than 49,000 deaths per year in the United States, including 55% associated with the use of a firearm. Across states and counties in the US, suicide mortality exhibits substantial geographical and sociodemographic heterogeneity. However, the role of large-scale social networks in shaping this variation remains underexplored. To assess how both the risk of suicide mortality and the effect of firearm restriction policies propagate through inter-county social ties, we integrate data on county-level suicide mortality (2010–2022) and the Facebook Social Connectedness Index (SCI), a continuous measure of the strength of social ties between counties used to derive weighted …

Adaptive Boundary-Aware Fact-Checker Placement For Misinformation Suppression In Social Networks, Mostafa Taghizade Firouzjaee, Ghazal Naderi, Ross Gore, Neda Moghim

School of Cybersecurity Faculty Publications

The spread of fake news on online social networks is driven by imitation-based user behavior and network topology, often leading to persistent misinformation clusters and echo chambers. In this study, we develop a spatial evolutionary game-theoretic framework in which agents update their latent opinions through payoff-biased imitation, while external fact-checkers act as non-imitative intervention nodes. Building on this formulation, we propose an adaptive, boundary-aware intervention mechanism that dynamically regulates both the density and spatial allocation of fact-checkers according to real-time system conditions. Competing information clusters are identified through local neighborhood composition, enabling boundary nodes, i.e., interfaces between fake-news and non-fake-news …

From Screens To Stress: Public Health Implications Of Cancer Worry In A Digitally Connected World, Shreya Mathur, Ethan Burns, Michael Pokojovy, Tzu-Liang Bill Tseng, Sunil Mathur

Mathematics & Statistics Faculty Publications

Aims:

This study examines how digital information environments, genetic testing experiences, health behaviors, and psychological distress influence cancer-related worry among adults in the United States. It further considers the public health implications of elevated or reduced cancer worry for prevention and risk communication.

Methods:

Data were drawn from a nationally representative survey of 6,252 U.S. adults. Measures included reliance on social media for health decision-making, smoking status, history of genetic testing, and psychological distress. Multivariable analyses assessed associations between these factors and levels of cancer worry.

Results/Findings:

Reliance on social media for health decisions was associated with greater cancer worry, …

An Explainable Transformer Framework For Sentiment Analysis In Aviation Workforce Data, Sovon Chakraborty, Protiva Das, Fahmid Al Farid, Fuyad Hasan Bhoyan, Farig Yousuf Sadeque, Jia Uddin, Hezerul Abdul Karim

Computer Science Faculty Publications

Aviation is one of the predominant sectors that contribute significantly to the global economy. With the advent of technology, this industry is witnessing a paradigm shift towards data-driven approaches. The morale of the airline employees is barely noticed, which causes fatigue and depression. Furthermore, these mental health issues can be active reasons for destructive accidents. In this research, the authors are focused on collecting insightful information on aviation employees from Glassdoor.com. Moreover, the authors focus on analyzing the sentiments of the employees of renowned aviation companies. Primarily, the authors scraped necessary data from Glassdoor.com and created a dataset named JetJobJoy …

Susceptibility To High-Fidelity Misinformation: An Eye-Tracking Analysis, Yasasi Abeysinghe, Gavindya Jayawardena, Enkelejda Kasneci, Sampath Jayarathna

Computer Science Faculty Publications

With the rise of online misinformation and AI-generated text, understanding human perception of news truthfulness is critical. In this study, we examine visual attention and cognitive processing using eye-tracking measures as individuals read fake and real news articles sharing nearly identical structure and imagery, differing only in subtle textual changes. Using the public FakeNewsPerception dataset, we analyze advanced gaze measures, including scanpaths, AOI transitions, and luminance-corrected pupil measures, beyond basic gaze features, in relation to news truthfulness and perceived believability. Results show that, given the high fidelity of the fake news, readers exhibited comparable visual scanning patterns, attention allocation across …

Reading The Romance Reader: Booktok, Algorithmic Subjugation, And The Fight For Cultural Legitimacy, Emily Maranto Hill

Communication & Theatre Arts Theses

This thesis examines the transformation of romance reader identity through the lens of BookTok, investigating how digital platforms grant cultural legitimacy while simultaneously subjugating community practices to algorithmic control. Romance readers historically developed emotional labor practices, counter-public formation strategies, and fan-driven meaning-making to resist decades of cultural marginalization. Through analysis of TikTok's platform attributes, user behaviors, and the viral Tillie Cole controversy, this study traces how BookTok converts these resistant practices into behavioral data optimized for engagement rather than authentic discourse. The research employs theoretical frameworks including Janice Radway's ethnographic analysis, Shoshana Zuboff's surveillance capitalism, Nick Srnicek's platform capitalism, and …

Specialization Or Diversification? Creators’ Strategies On User-Generated Content Platforms, Ziwei Ye

Theses and Dissertations in Business Administration

Recent advancements in digital platforms have reshaped content creation and distribution. User-generated content (UGC), created and shared by internet users, is transforming entertainment, communication, and information sharing. The rise of UGC has fueled the growth of the "creator economy"—an ecosystem of creators, users, and advertisers facilitated by platforms such as YouTube and TikTok. While prior research has primarily explored how UGC platforms incentivize content quantity and quality, this study advances the literature by examining how creators' content strategies influence consumer attention and how platform mechanisms shape this relationship, offering new insights into the interplay between creator behavior and platform design. …

Gatekeeping Girlhood: Tiktok As An Agent Of Gender And Racial Socialization, Kennedy Elyza Davis

Communication & Theatre Arts Theses

This thesis uses qualitative methods to study and analyze how TikTok users and the platform’s algorithm work together to redefine girlhood. By examining individual posts and the origins of the trends that they belong to, I will show why some users reject this new definition, as others have embraced it, and what this means for the future of girlhood. This research will complicate the question of what it means to be a girl on the Internet and the challenges that accompany this experience. Ultimately, I expand on the study of gender roles and the impact of social media as an …

It Ends With Us: How Social Media Algorithms Shape Recommendations In Online Reading Communities, Alana Nicole Whitley

Communication & Theatre Arts Theses

My thesis explores social media algorithms and their influence on recommendations of authors for people who engage with reading communities online. During a three-week research period, I examined algorithmic behaviors in online book communities using an alias. Findings revealed that BookTube, BookTok, and Bookstagram facilitate book discovery but offer weak algorithmic recommendations and suggestions. While social media algorithms excel at providing opportunities for creators and authors, they fail to promote trending and diverse books. These insights indicate that algorithms shape literary consumption by limiting readers’ choices. This research contributes to discussions of online reading communities and the role of algorithmic …

Toward An Ecosystem Of Non-Fungible Tokens From Mapping Public Opinions On Social Media, Yunfei Xing, Justin Z. Zhang, Yuming He, Yueqi Li

Information Technology & Decision Sciences Faculty Publications

As blockchain technology advances, non-fungible tokens (NFTs) are emerging as unconventional assets in the commercial market. However, it is necessary to establish a comprehensive NFT ecosystem that addresses the prevailing public concerns. This study aimed to bridge this gap by analyzing user-generated content on prominent social media platforms such as Twitter, Weibo, and Reddit. Employing text clustering and topic modeling techniques, such as Latent Dirichlet Allocation, we constructed an analytical framework to delve into the intricacies of the NFT ecosystem. Our investigation revealed seven distinct topics from Twitter and Reddit data and eight topics from Weibo data. Weibo users predominantly …

The Legend Of Taylor Heinicke: An Autoethnography Of Unexpected, Passionate Fandom, Brendan O'Hallarn

Communication & Theatre Arts Faculty Publications

Passionate fandom is not a novel phenomenon in the field of sport. The fervor of fans builds stadiums and has allowed the sport industry to grow exponentially in the past few decades. Scholars have examined the passionate fan through many theoretical lenses, but comparatively little scholarship has looked at sport fandom fervor from inside. An autoethnographic examination of my unexpected journey as a fan of journeyman National Football League (NFL) quarterback Taylor Heinicke demonstrates how fandom can stir passions and create rituals in sport followers. A multimedia diary of Heinicke's unexpected ascension to starting quarterback of the Washington Commanders provides …

Examining The Socioemotional Outcomes Of Social Justice Efforts On Social Media Users: Evidence From The Nfl's Inspire Change Initiatives, Yoseph Z. Mamo, Justin Haegele, Christos Anagnostopoulos, Kwame Agyemang

Human Movement Studies & Special Education Faculty Publications

Despite the growing interest in social justice activities, there is a lack of empirical evidence regarding their impact on various stakeholders, particularly social media users. We gathered longitudinal data from the NFL's @inspirechange X (former Twitter) account, a designated social justice communication handle, between August 2019 and March 2023. During this timeframe, the account garnered 20,967 comments (including original tweets and retweets) from 11,481 distinct users, but our analysis focused on 5851 comments deemed usable from 3632 unique users. Drawing on the social exchange theory, sentiment analysis, and thematic analysis, this study examines social media users' sentiments toward the NFL's …

Voices From The Field: A Q Methodology Study In Postsecondary Cte Faculty Retention, Brandon Hensley, James E. Bartlett, Michelle Bartlett

Educational Leadership & Workforce Development Faculty Publications

The postsecondary career and technical education (CTE) faculty shortages intensify challenges in recruiting and retaining qualified faculty. This study examines the viewpoints of faculty regarding workplace experiences and values concerning retention using Q methodology. Grounded in Herzberg’s Two-Factor Theory and Job Embeddedness Theory, the research identifies viewpoints toward remaining in the profession. A Q-set of 64 statements was developed through an academic literature review, contemporary publications, social media, and expert input. Thirty-four CTE faculty from multiple institutions sorted the statements on −7 to +7 forced distribution under the condition of “statements that influence their desire to stay in their roles”. …

An Overview Of The Special Issue, Rachel Gibson, Trent Buskirk

Data Science Faculty Publications

[Introduction] Across the quantitative social sciences, researchers increasingly face significant challenges and opportunities prompted by the arrival of new sources of very rich, highly granular, and often unstructured digital data. While traditional methods such as surveys and content analysis tools remain indispensable for measuring individual attitudes, behaviors, demographic characteristics, and media messaging online, they often struggle to capture the complex multimodal information streams and metadata generated by social media platforms, mobile devices, sensors, and tracking applications. Collecting and analyzing these diverse new forms of content, dynamic moment-to-moment behaviors, and naturally occurring interactions has become a pressing and exciting research task-one …

An Integrated Machine Learning Approach For Identifying Emergency Rescue Messages On Social Media During Natural Disasters, Wael Khallouli, Jiang Li, Jingwei Huang, Ghaith Rabadi, Samuel Kovacic

School of Cybersecurity Faculty Publications

During large-scale disasters, emergency call centers are often overwhelmed by the large volume of rescue requests and calls for help. Consequently, people are turning to social media platforms to seek assistance. Rescue information posted on these platforms is extremely valuable for first responders to make informed rescue decisions. Therefore, the automatic identification of these requests from the vast amount of data posted on social media during crises is critical yet challenging. This work presents our ongoing research on applying deep learning techniques to extract actionable rescue information from social media during crises. We proposed a novel deep learning model that …

A New Deepfake Detection Method With No-Reference Image Quality Assessment To Resist Image Degradation, Jiajun Jiang, Wen-Chao Yang, Chung-Hao Chen, Timothy Young

Electrical & Computer Engineering Faculty Publications

Deepfake technology, which utilizes advanced AI models such as Generative Adversarial Networks (GANs), has led to the proliferation of highly convincing manipulated media, posing significant challenges for detection. Existing detection methods often struggle with the low-quality or compressed press, which is prevalent on social media platforms. This paper proposes a novel Deepfake detection framework that leverages No-Reference Image Quality Assessment (NRIQA) techniques, specifically, BRISQUE, NIQE, and PIQUE, to extract quality-related features from facial images. These features are then classified using a Support Vector Machine (SVM) with various kernel functions. We evaluate our method under both intra-dataset and cross-dataset settings. For …

The Past, Present, And Future Of Adaptive Selling: Toward An Integrative Framework, Nawar N. Chaker, Rhett T. Epler, Gabriel Moreno, Dana Amiri, Elizabeth G. Mcdougal

Marketing Faculty Publications

Adaptive selling represents a notable and influential concept in the marketing literature. Despite being discussed in scholarly research and managerial practice for over forty years and mixed findings about its impact, a comprehensive understanding of the construct of adaptive selling remains missing. To remedy this critical knowledge gap, we conduct a comprehensive review of 188 articles across twenty-seven journals. We combine three approaches in our survey of the literature, including a systematic review, a main path analysis, and a bibliographic analysis. Together, this three-prong review offers profound insights into the state of adaptive selling research by (1) mapping the key …

College Students' Identity Differences In Offline And Online Learning Environment And Their Effects On Achievement Motivation, Sang-Soog Lee, Jinhee Kim, Seung Won Yu, Na Li

STEMPS Faculty Publications

The unprecedented evolution of educational technologies has transformed the learning landscape, creating distinct experiences in offline and online learning environments (OLE). However, little attention has been given to exploring students’ identities in the online learning context and how they can influence academic trajectories, limiting the development of a holistic understanding of the nature, effects, and areas of improvement in students’ identity formation in OLE. This study aims to investigate how students’ identity subcomponents differ among offline and OLE students via propensity score matching (PSM) in China, which allows us to find a doppelganger to estimate the counterfactual situation for making …

Perceptions Of Stem Education And Artificial Intelligence: A Twitter (X) Sentiment Analysis, Demetrice Smith-Mutegi, Yoseph Mamo, Jinhee Kim, Helen Crompton, Matthew Mcconnell

Teaching & Learning Faculty Publications

Background, context, and purpose of the study: Artificial intelligence (AI) is becoming increasingly prevalent in science, technology, engineering, and mathematics (STEM) education, holding promising potential for supporting the design and implementation of quality STEM education. However, there is a lack of data-based research studying the diverse perceptions of AI in STEM education as conveyed on social media, the factors that influence those perceptions, or the change in those perceptions over time among public audiences. Results, the main findings: The purpose of this study was to examine public perceptions of AI in STEM education by analyzing X posts (Tweets) between 04/28/2020 …

Fostering Critically Conscious Lesson Planning In A Generative Artificial Intelligence Era, Derek Riddle, Paula Cristina Azevedo, Catharyn Shelton, Jaime Colwell, Jori Beck

Teaching & Learning Faculty Publications

Teacher candidates (TCs) use digital resources and social media to plan and develop learning material, and with publically accessible generative artificial intelligence (GAI), TCs are able to generate lesson plans within seconds rather than hours or days. While there is research on how to support TCs' evaluation of reliable digital media, there is little known on how to prepare TCs for GAI content. Using the complementary frameworks of Freire’s (1970) critical consciousness and Jonnasen’s (1991) theory of constructivism, this in-progress design based research seeks to develop an adaptable framework that addresses the evolving nature of technology, specifically GAI, and the …

Characterizing Language Use In Online Accessibility Discussion Forums, Nithiya Venkatraman, Anand Ravi Aiyer, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Discussion forums are one of the favored platforms for knowledge sharing. Given their popularity, copious research exists on understanding the linguistic and behavioral characteristics of forum conversations, so as to inform the design of many downstream applications including discourse visualization, sentiment analysis, and question answering. However, prior investigations have mainly focused on general forums designed primarily for sighted users, and as such the applicability of their findings to dedicated accessibility discussion forums frequented by blind screen reader users remains unanswered. To bridge this knowledge gap and facilitate the development of better-informed assistive technologies for blind people, we investigated language use …

Insights From Father-Toddler Communication Via Tiktok, Joy Lee Hernandez, Abha Gupta

Teaching & Learning Faculty Publications

This qualitative study investigates the characteristics of interactions between fathers and toddlers, as well as their influence on language development. By utilizing video clips from the social media platform TikTok, this research observes and analyses fathers' responses and interactions with their toddlers. The findings indicate that fathers play a crucial role in supporting language development by engaging in conversations, expanding vocabulary, and providing emotional support. The study underscores the significance of fathers' involvement in nurturing language skills during early childhood. However, further longitudinal research is necessary to establish a definitive link between fathers' language input and toddlers' language development. Overall, …

Tikking The Tok And Leading The Way: Teacherpreneurs Leading On Tiktok, Jori S. Beck, Derrick Riddle

Teaching & Learning Faculty Publications

Teacher shortages in the United States have increased the need for resources for teachers just learning to teach. The purpose of this study was to explore how teacherpreneurs, a type of teacher leader, are leading on TikTok. We grounded this study in the research on teacher leadership, including the five waves of teacher leadership and the most recent development of teacherpreneurship, as well as social media influencers. We qualitatively analyzed 300 videos from 30 different teacherpreneuers to determine the following themes: diverse narratives, entertainment, instructional resources, and advocacy. We describe implications for practice, including teacher preparation, as well as future …

Data Security In The Apple Ecosystem: An Evaluation, Kayrene Woods

Cybersecurity Undergraduate Research Showcase

This study provides a comprehensive evaluation of data security within the Apple ecosystem, focusing on the company’s privacy policies, user perceptions, and the effectiveness of its App Store review processes. Employing an interdisciplinary methodology, the research examines Apple’s commitment to data protection, emphasizing transparency and user trust. A survey of user experiences revealed varying levels of engagement and understanding of Apple’s privacy practices, with only 32.8% of respondents having read the Privacy Policy and mixed opinions on its clarity. Additionally, concerns persist about third-party app security, with 39.7% of users expressing apprehension and skepticism about Apple’s App Store review process. …

The Digital Battlefield: Extremists On Social Media, Daniel P. Shanks

Graduate Program in International Studies Theses & Dissertations

The rise of social media has transformed the battleground for extremist groups like ISIS and the Taliban, enabling them to reach global audiences with unprecedented ease. This dissertation investigates the social media strategies employed by the Taliban and ISIS. These social media strategies are used to further their strategic objectives in propaganda, recruitment, and operational coordination. Through a comprehensive analysis, the study explores how these extremist groups adapt their digital tactics in response to evolving military and political landscapes. Utilizing case studies from key military engagements and applying theoretical frameworks of rational actor theory, social identity theory, and finite and …

Hozier, Tiktok, And Sapphic Rhetoric, Sophia Marie Kovalcik

English Theses & Dissertations

Through the process of social circulation and critical imagination, Sappho’s poetry, which maintains rhetoric that women, nature, and love are related to ritual and feminine divinity, intersects with queer digital rhetoric. Via discussion of feminist spirituality rhetoric, Marie Cartier’s lesbian theology, and rhetorical and literary analysis of Sappho’s lyrical fragments, I explore her Ancient Greek mythological, cultural aesthetics. I then connect sapphic rhetoric to two contemporary artifacts that represent or influence contemporary feminist, digital, and queer identities: the lyrics of the Irish musician Andrew Hozier-Byrne, known as Hozier and TikTok comment sections surrounding Hozier’s music and concert clips.

Social Media Sanctuaries: A Discourse Analysis Of Indian International Students' Agency And Liminality During The Russian-Ukrainian Conflict, Bhavika Sicka, Nadiya Ungo, Dennis Gregory

Educational Leadership & Workforce Development Faculty Publications

This study used a social media discourse analysis approach to illuminate the narratives of Indian international students in Ukraine who experienced displacement and upheaval because of the Russo-Ukrainian war. We used agency and liminality as analytic lenses to highlight how this uniquely situated population used Facebook to navigate conflict, voice their demands, support each other, challenge hegemonic narratives, re/construct their diasporic identities, and re-orient their futures. Findings indicate that Indian international students in Ukraine displayed insurmountable courage and resilience during the war, enacting agency from the margins to amplify their voices and actuate desired futures. Furthermore, South Asian students in …

Optimal Network Analysis Through Vertex Order Coloring Of Intuitionistic Fuzzy Graph Operations, A. Meenakshi, S. Dhanushiya, Hong Qin, Maniyandy Elangovan

Data Science Faculty Publications

Intuitionistic fuzzy graphs IFGs are a powerful tool for modeling uncertainty and complex relationships. They offer versatile frameworks for addressing real-world challenges. In this research, we have introduced intuitionistic fuzzy vertex order coloring IFVOC and analyzed the alpha-strong (alpha str), beta-strong (beta str), and gamma-strong (gamma str) vertices through their degree. We explored important theorems based on the types of strong vertices, broadening the scope of our study. We analyzed multiple IFG products to determine the most optimal network based on some important metrics, including the weight and total number of alpha str vertices, the chromatic number, and the weight …