Digital Commons Network^™

International School Leaders’ Lived Experiences Of Crises And Perceptions Of Trust, Shary L. Marshall

Theses and Dissertations--Educational Leadership Studies

International school leaders worldwide have navigated their schools through a variety of crises. Their unique lived experiences offer insights into the role of trust in leadership, particularly during times of crisis.

This qualitative study employed a phenomenological approach to explore the lived experiences of 12 experienced international school leaders. Data was collected through semi-structured interviews. Using the theoretical lenses of authentic leadership, sensemaking, loose coupling, and crisis leadership, this study illuminates the central role of trust in leading schools through crises.

Three significant themes emerged from the analysis. First, trust is foundational to leadership and is built through intentional, transparent …

From Ads To Enrollment: Understanding How Targeted Marketing Affects College Choice, John W. Roberts

Theses and Dissertations--Educational Policy Studies and Evaluation

The purpose of this qualitative study is to explore the perceived impact of targeted marketing on college choice. Research on college choice is an established area of scholarship that explores the variables that are at work when a student chooses to attend a college or university. Given that the enrollment landscape for higher education continues to be competitive, colleges and universities are doing what they can to “stand out” among the competition in a crowded marketing and advertising space. And, as technology improves, segmenting and personalizing marketing to reach the right students at the right time is becoming more commonplace …

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 …

Minds, Made Up Or Malleable? Covert Commands At The Eclipse Of Vaccine Communications, David H. Lee

Publications and Research

Abstract: Although millions have died from SARS-CoV-2 illness, COVID vaccines are credited with stemming the tide. Vaccinations and boosters significantly decrease the incidence of severe illness and death (even if they don’t usually prevent COVID-19 infection). Despite the success of global vaccination efforts, frequent reports of vaccine hesitance and refusal suggest that public health communications need improvement.

The chapter begins by acknowledging adverse events associated with COVID vaccination, including rare cases of anaphylaxis, GBS, and myocarditis. An inoculation-theoretic rationale is offered for this admission of vaccine risks: just as immune defenses mount when organisms are exposed to pathogens, so too …

Coming Out To My Christian Loved Ones: Online Workshop Effectiveness For Increasing Lgbtq+ Individuals And Lgbtq+ Ally Communication Efficacy And Impacts On Personal-Enacted Identity Gaps, Samantha Renee Leggett-Bradley

Graduate Theses, Dissertations, and Problem Reports (ETD)

It is not uncommon for passages from the Christian Bible to produce schisms in families, friendships, mentorships, workplace relationships, individual churches, and denominations. These challenging conversations are often around LGBTQ+ topics. Many marginalized LGBTQ+ individuals and allies in these spaces become outgroup members who feel insecure and less confident enacting aspects of their own identities or identities they support. A lack of communication efficacy for how to navigate LGBTQ+ related conversations with Christian loved ones may lead to detrimental physical, mental, and emotional outcomes.

This study surveyed 134 LGBTQ+ individuals and allies as well as conducted semi structured interviews with …

Not Everyone Believes Sports Are A Safe Space: Development Of A Toxic Sports Fandom Scale, Thomas Dean Bobbitt

Graduate Theses, Dissertations, and Problem Reports (ETD)

Dysfunctional Fan Behavior is a concept developed by Wakefield & Wann (2006), that describes fan conduct, consisting of complaining and confrontation, that ruins the experience of sporting events for others. However, there is some evidence that although the items featured in the Dysfunctional Fan Behavior Scale are perceived as negative, they are also viewed as relatively normal and appropriate of sports fans. Bobbitt et al.’s (in press) qualitative analysis suggests that these behaviors are not always considered destructive or toxic in the context of sport, but the line between benignly rude and genuinely antisocial behavior is somewhat difficult to define. …

Media Framing Of The Local And National News Coverage Of The East Palestine Train Derailment, Lauren Delo

Graduate Theses, Dissertations, and Problem Reports (ETD)

This research examined digital news coverage of the East Palestine train derailment to determine the frames and dominant frames used in both local and national coverage of the disaster, and whether these frames differed over time. Specifically, this research used a content analysis of digital newspaper articles from five media outlets—three national level and two local level—and applied the frames identified from Colistra’s (2010) study of print news coverage of the 1972 Buffalo Creek mine disaster. Results revealed significant differences between the most frequently used frames between local and national coverage, shifts in frame usage over time within each media …

Application Of Machine Learning And Natural Language Processing To Understand The Partisan Mobilization Of Ethnic Minorities, Ani Tepnadze

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation explores how competing interests across secondary dimensions of identity shape marginalized groups' capacity to institutionalize their grievances, particularly ethnic minorities. More specifically, I explore two mechanisms, intragroup cohesiveness and distinctiveness, as a driving force of grievance mobilization. This research is interdisciplinary, drawing on theories from political sociology, political communications, and computational social science. I examine the question of ethnic group particization in two stages. In the first stage, I developed an original machine learning pipeline to process large text corpora and identify the indicators of the strength of collective ethnic grievances in online group discussions. In the second …

Social Media Through A Binary Lens: The Impact On College Students & Their Mental Health, Piper Mallchok

Williams Honors College, Honors Research Projects

It is important to first understand how individuals use social media so that we can then understand how and why their use will change the individual impact social media will have. Some students experience a decline in their mental health when their social media use changes. There is an abundance of research on college students and social media, respectively, that also addresses gender as a variable. In this review, the research will be studied to further understand the voices of those who are not commonly included in research that operates under a gendered framework. Additionally, these ideas will be compared …

Zippymania: A Multimedia Record Of The 2024-25 Akron Zips Men's Basketball Team, Drew Bailey

Williams Honors College, Honors Research Projects

This project will involve the production, promotion, and distribution of a weekly 30-minute live radio show focusing on the Akron Zips men's basketball team. After the airing of each show, the recorded episode will be published as a podcast. Additionally, a weekly column or sports blog (written by myself) will be published and serve as a companion work or supplement to the radio program.

The Post-Alert Lexicon: A Multiphased Study To Develop Content For Post-Alert Messages, Jeannette Sutton, Hugh D. Walpole, Micki Olson, Lauren B. Cain, Savanah Olivas, Bruce Pollock, Nicholas Waugh

Emergency Preparedness, Homeland Security, and Cybersecurity Faculty Scholarship

Using a multi-phased, mixed methods approach, grounded in theory on alerts and warnings, the Post-Alert Lexicon serves as a companion to the Warning Lexicon to provide evidence-based guidance on how to construct a post-alert message for 45 hazards and missing person events. We draw from the results of quantitative content analyses of a census of post-alert messages issued as Wireless Emergency Alerts from 2012-2022, and public message testing experiments for three hazard types (wildfire, earthquake, and bomb threat), to find that a focus on hazard resolution and public action, rather than the commonly employed language of “all clear,” increases message …

Expériences Vécues Et Perceptions De Personnes Étudiantes Internationales Sur Les Mesures Et Les Services Offerts Par Les Universités Québécoises Pendant La Pandémie De Covid-19 = Experiences And Perceptions Of International Students Regarding Measures And Services Offered By Quebec Universities During The Covid-19 Pandemic, Farrah Bérubé, Jessica Dubé, Jorge Frozzini, Daniel Côté

Études primaires

Cet article fait état d’une partie des résultats d’une recherche menée auprès de personnes étudiantes internationales (PÉI) qui fréquentaient des universités québécoises pendant la pandémie de COVID-19. La recherche portait sur les usages sociaux des technologies de l’information et de la communication (TIC) et sur la qualité de vie des PÉI en période de confinement. Les résultats présentés et discutés dans cet article se rapportent plus spécifiquement aux expériences et perceptions des PÉI sur les mesures et les services offerts par les universités en contexte de confinement. Afin de répondre à cet objectif, des entretiens semi-dirigés, menés auprès de 40 …

Exploring Patient-Provider Communication In Indian American Populations: A Scoping Review, Pranav S. Nadella

Honors Undergraduate Theses

Effective provider-patient communication directly influences patient satisfaction, treatment adherence, and health outcomes, yet the unique experiences of Indian Americans—one of the fastest-growing U.S. populations—remain underexplored in communication research. This scoping review, following Joanna Briggs Institute guidelines, systematically mapped the existing literature on provider-patient communication involving Indian Americans. Eleven studies met inclusion criteria, with data extracted on methods, populations, and seven coded aspects related to communication.

Findings revealed a narrow focus on first-generation immigrants and women, leaving men’s experiences and second-generation voices largely unexamined. Communication was shaped by language discordance, cultural stigma, family involvement, trust dynamics, and health literacy. No studies …

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 …

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 …

Sexual And Gender-Based Violence Against Women In Sports: Prevalence, Impact, And Interventions In East Africa, Hesbon Hansen Owilla, Nancy Achieng' Booker, George Nyabuga, Tulinagwe Mwampanga, Samantha Agasha, Liz Awino, Ella Smith

Graduate School of Media and Communications

This study investigated the prevalence, causes, and impact of sexual and gender-based violence (SGBV) against women in sports across Kenya, Uganda, and Tanzania. Employing a mixed-methods approach, the study combined quantitative surveys with qualitative interviews to explore the scale of SGBV, its root causes, and the lived experiences of female athletes. A cross-sectional descriptive design was adopted, with data collected from athletes, coaches, administrators, and sports officials from federations and associations in the three countries. Stratified and purposive sampling techniques at the federations, clubs and within the clubs was used and this ensured representation at multiple levels of the sports …

Policy Brief. Media Framing Of Sexual And Gender-Based Violence And Femicide: An Analysis Of News Stories In Select Kenyan, Ugandan And Tanzanian Media, Nancy Achieng' Booker, Hesbon Owilla, George Nyabuga, Olivia Sayani, Liz Awino, Rose Kimani, David Aduda

Graduate School of Media and Communications

This policy brief presents the findings of a regional study on media coverage of femicide and sexual and gender-based violence (SGBV) in Kenya, Uganda, and Tanzania. The study analysed coverage of femicide and SGBV between January 2024 and April 2025, from major digital platforms, supported by interviews with editors. It sought to understand how media frames femicide and SGBV, which actors are most visible, and what implications these patterns have for accountability, justice, and deterrence. The findings show that while victims of femicide are given extensive sympathetic coverage, with very high salience, perpetrators are almost entirely absent from media narratives. …

Negotiating Power Relationships In Interprofessional Health Care Groups, Allison L. Noyes

Communication Studies Faculty Works

This chapter examines the communication challenges associated with the hierarchical structure of power relationships among the health professions. It is commonly believed that balancing power relationships is crucial for successful interprofessional collaboration in providing patient care, but because hierarchy is deeply embedded in healthcare organizations, balancing power among health professionals may be an unrealistic ideal. This chapter therefore reframes thinking about professional hierarchy-from a monolithic absolute to a flexible and negotiable social order that can serve multiple purposes at different points in the patient care process. It proposes a communicative framework of interprofessional hierarchy negotiation that can help us to …

Use Of The Slur “Retard” Triples On X After Elon Musk Shares The Word In A Post, Bond Benton, Daniela Peterka-Benton

College of Communication and Media Scholarship and Creative Works

A joint study from Montclair State University faculty in the Joetta Di Bella and Fred C. Sautter III Center for Strategic Communication in the School of Communication and Media and the Department of Justice Studies shows that Elon Musk dramatically increased content containing the slur “retard” on X after using the term in a post. Highlights from the study include:

• A 207.5% increase in posts containing the r-word on X.
• 312,642 posts using the term r-word identified in the period studied.
• Google Trends Analysis showed a similar increase in online search activity related to the r-word.
• Indication of a broader …

Pride Month Support Can Generate 320% More Positive Social Media Posts For Companies; Dropping Support Can Increase Online Negativity By 165%, Study Finds, Bond Benton, Yi Luo, Jin-A Choi

College of Communication and Media Scholarship and Creative Works

A study from Montclair State University faculty in the Joetta Di Bella and Fred C. Sautter III Center for Strategic Communication in the School of Communication and Media showed the ongoing commitment to Pride Month by Universal Studios has been received positively online. In contrast, Target’s rolling back of support for Pride Month and diversity/inclusion elicited negative reactions in social media. Results show 320% more positive emotional sentiment in posts about Universal’s #loveisuniversal campaign, with 85% of posts advocating #BoycottTarget expressing negative emotions towards the company including anger, disgust, fear, and sadness. #BoycottTarget posts also contained 165% more negative emotions …

“R-Word” Slurs Triple On X After Donald Trump’S Thanksgiving Post Used The Word, Bond Benton, Daniela Peterka-Benton

College of Communication and Media Scholarship and Creative Works

A joint study from Montclair State University faculty in the Joetta Di Bella and Fred C. Sautter III Center for Strategic Communication in the School of Communication and Media and the Department of Justice Studies shows a dramatic increase in content containing the slur “retard” on X after Donald Trump’s Thanksgiving Day Truth Social post used the word. Findings showed a 225.7% increase in posts containing the r-word on X with 1,129,438 posts in the studied period. The most viewed, liked, and shared content analyzed enthusiastically endorsed use of the r-word. Results appear consistent with the period after other prominent …

Exploring The Stem Career Identity Development Of Black Women Across Their Lifespan, Veronica Hurd

Theses and Dissertations

Although STEM is the fastest-growing career sector, Black women are grossly underrepresented as they account for 2.5% of the workforce. Research highlights that this underrepresentation is due to racialized structures in K-12, postsecondary, and career settings that restrict Black girls’ and women’s STEM opportunities. While macrosystems such as hegemonic ideologies, attitudes, and social conditions shape Black girls’ and women’s opportunities in STEM, they continue to persist and achieve their career goals. To explore these barriers and Black women’s persistence in this industry, this study draws from the autobiographical memories of 10 Black women in the field or formerly in the …

Polarization On Campus: How Social Media Shapes College Students' Opinions On The Israel Hamas War, Jonah Lynne

Honors Undergraduate Theses

This study examines the impact of social media on the polarization of opinions regarding the Israel-Hamas war, particularly among U.S. college students. Following the outbreak of the war in October 2023, social media platforms such as Facebook, Instagram, X, and TikTok have facilitated the spread of highly partisan narratives, fueling ideological divides. The study highlights how social media contributes to the increase in antisemitic and Islamophobic sentiments, exacerbating societal tensions. Through 25 structured qualitative interviews with college students, the research explores how social media algorithms shape perceptions by reinforcing preexisting beliefs through echo chambers and filter bubbles. Taken as a …

Mental Illness Identity And Social Media Use In Generation Z, Tobey Smith

Honors Undergraduate Theses

The present study investigated factors that predict a high degree of mental illness identity among Generation Z college students. Specifically, the author aimed to evaluate social media use and other psychosocial factors, including social isolation, self-esteem, well-being, discrimination, and attitude toward recovery. Two-hundred and seventeen participants were recruited using SONA and social media. Participants completed scales to measure the variables of interest: Illness Identity Questionnaire - Mental Health, Rosenberg Self-Esteem Scale, Warwick-Edinburgh Mental Well-being Scale, Hope and Coping in Recovery Scale, Cornwell Perceived Isolation Scale, Stigma Scale, Social Media Use Scale, and a set of demographic questions. Pearson bivariate correlations, …

Sealing The Deal: A Case Study Of A Private, Southeastern, Regional College’S Student Onboarding Practices, Alicia R. Gaston, Kristen Meyer, Tyler Ogden, Jennifer Perkinson, Casey Yocum Michaels

Doctor of Education Capstones

Each year, higher education institutions offer support to new, incoming students through an onboarding process that requires dedication and collaboration across multiple departments. Offering streamlined guidance and clear communication throughout the onboarding process is essential to ensure incoming students understand action steps without becoming overwhelmed with new terminology, processes, and environments. This explanatory case study is set to understand the current communication practices and technology use across onboarding departments at Brightside College – also referred to as Brightside or BC (pseudonym). The research team aimed to understand Brightside's onboarding staff's perspective of current processes and practices. With emphasis on the …

Predicting Crises On The African Frontier Stock Markets With Investor Sentiment Indicators: A Machine Learning Approach, David Korsah, Lord Mensah

Journal of International Technology and Information Management

This study examined the predictive ability of machine learning algorithms in identifying crises within African stock markets. The study employed seven distinct machine-learning models, analyzing historical stock prices from eight stock markets, three major sentiment indicators, and the exchange rates of local currencies against the US dollar, with each data spanning from May 1, 2007, to April 1, 2023. Extreme Gradient Boosting (XGBoost) emerged as the most effective algorithm for predicting crises. Historical stock prices and exchange rates were identified as the most critical features for prediction. On the sentiment side, investors’ perceptions of potential volatility on the S&P 500, …

Preventive Health Care Information Seeking Behaviors Among Baby Boomers In Taiwan, Alexander N. Chen, Michael J. Rubach, Tracy Suter, Hsin Ke Lu, Mark E. Mcmurtrey

Journal of International Technology and Information Management

Preventive health care is widely acknowledged as one of the most effective ways to reduce medical costs and enhance people's health. Preventive health care information (PHCI) is a crucial component. This study examines the PHCI-seeking behaviors of Taiwanese baby boomers. The study found some support for the idea that the preferred media used influenced the likelihood of Information seeking behavior. People with good health conditions were found to be more likely to seek PHCI, while people with greater health care needs sought out PHCI less frequently. The study examined social influences, which were found to be important. Three different types …

Pedagogy In The Age Of Ai: Exploring Generative Ai For Higher Education, Alison Munsch Phd

Journal of International Technology and Information Management

Generative Artificial Intelligence (AI) presents transformative opportunities for higher education, enabling personalized learning, enhanced student engagement, and efficient pedagogical practices. This tutorial-style article guides educators in integrating generative AI into their classrooms through hands-on activities, practical strategies, and reflective exercises. It explores the capabilities of AI tools such as ChatGPT, their applications across disciplines, and the ethical considerations for their use. By cultivating critical thinking and fostering student readiness for AI-driven futures, this article underscores the transformative potential of generative AI in higher education with an emphasis on the academic areas of business analytics, information systems, and computer science.

Surviving And Thriving In The Hybrid Cloud: A Review Of The Current Cloud Computing Landscape, Peter Munsch, Alison Munsch

Journal of International Technology and Information Management

Background and Purpose

Both academic and industry institutions have increasingly migrated essential services to public cloud providers (e.g., Microsoft, AWS, Google) with mixed outcomes. Some industry leaders attempted to fully replace their on-premises data centers with public cloud services, a move not advised without thorough performance and cost analyses (Potel, 2023). Despite some organizations pulling back from the “Cloud First” strategy, the public cloud services market continued to grow, with revenue increasing by approximately 20% year-over-year since 2020 and surpassing half a trillion dollars in 2022 (IDC Worldwide Semiannual Public Cloud Services Tracker, 2H 2022). Cloud technologists suggested that hybrid …

Predicting Global Healthcare Supply Chain Delays: A Machine Learning Approach Leveraging Country-Level Logistics Metrics, Jeevan Sai Gali, Nima Molavi, Sepideh Alavi

Journal of International Technology and Information Management

In global healthcare logistics, ensuring the timely delivery of medical commodities is critical, particularly in low- and middle-income countries characterized by infrastructural limitations and operational uncertainties. This research introduces an advanced, data-driven predictive framework designed to forecast delivery delays by synthesizing granular, internal shipment-level data from the USAID Global Health Supply Chain Program (GHSC-PSM) with external country-level logistics capabilities indicators derived from the World Bank’s Logistics Performance Index (LPI). Rather than relying on retrospective trend analyses, this study employs machine learning algorithms such as Random Forest, XGBoost, Support Vector Machines (SVM), and Multi-Layer Perceptron (MLP) to detect …