Social Media Commons^™

Boosting Three Dog Bakery’S Social Media Presence Through Short-Form Vertical Videos, Mary Litz

Theses and Dissertations

This professional project explores how consistent, short-form vertical video content can enhance the social media performance of Three Dog Bakery, a boutique pet store in Columbus, Georgia. As the bakery’s social media manager, I implemented a one-month video campaign using storytelling-based, behind-the-scenes videos featuring the owner and the baking process. Drawing on transformational message strategy and best practices in social media marketing, the campaign aimed to increase reach, views, engagement, and viewer retention on Instagram.

Throughout the campaign, six videos were posted and various strategies were tested, including optimal posting times, video lengths, and hooks. Results showed a 45.4% increase …

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 …

The Kids Aren't Alright: "Indie Sleaze Revival" And The Commodification Of Subcultures On Social Media, Lauren Mar

Scripps Senior Theses

In 2012, the “indie sleaze” subculture is accepted to have “died” — the same year Facebook bought Instagram. Named retroactively by social media in 2021, the “indie sleaze” subculture and its “revival” online provides a rich ground for investigating how and why social media converts subculture into aesthetics. Drawing on Dick Hebdige’s 1979 theory of subculture, this project considers new understandings of the political, aesthetic, and affective relationships between digital media and subcultures. In examining the evolution of “indie sleaze” from its origins and manifestations in an escapist party scene of the aughts to its online simulations from 2021 to …

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 …

Digital Orthodoxy And Political Populism In Eastern Europe: How Orthodox Media Facilitate Political Mobilization, Dmytro Garaschuk, Oleh Sokolovskyi

Occasional Papers on Religion in Eastern Europe

This article examines the intersection of Orthodox digital media and political populism in Eastern Europe, focusing on how religious institutions utilize digital platforms to facilitate political mobilization, reinforce nationalistic narratives, and undermine democratic institutions. Drawing on a comparative analysis of six countries–Russia, Ukraine, Romania, Serbia, Georgia, and Montenegro–the study identifies a shared ideological matrix that fuses populist rhetoric with theological motifs. The research highlights the strategic use of digital media by Orthodox actors to construct moral binaries, sacralize political resistance, and disseminate disinformation framed in religious language. Particular attention is given to the role of the Russian Orthodox Church and …

Topics Of Historical Memory In The Pr Activities Of Religious Organizations In Present-Day Ukraine, Vadym Sluysar, Yuliia Kondratiuk, Iryna Vitiuk, Oleksandr Mosienko

Occasional Papers on Religion in Eastern Europe

The article analyzes the role of religious organizations in Ukraine in shaping and preserving historical memory in the context of their PR activities. The article examines the contribution of the Orthodox Church of Ukraine (OCU), the Roman Catholic Church (RCC), Protestant denominations, and Muslim organizations to the popularization of objective historical narratives. Through participation in memorial events, restoration of monuments, organization of scientific conferences, exhibitions, lectures, and publication of historical materials, religious organizations contribute to the formation of national and civic identity. Particular attention is paid to the coverage of tragic events such as the Holodomor, the deportation of Crimean …

Exploring The Connections Between Social Media Posts About Intimate Partner Violence And Their Influence On Women’S Physical And Mental Health, Joanna Lynn

UNF Graduate Theses and Dissertations

Intimate Partner Violence (IPV) can happen to anyone and is considered a common occurrence in the United States (U.S. Department of Justice, 2025). Social media platforms have allowed individuals to post about their IPV experiences, but such posts can be met with negative comments that are not beneficial to the survivor. This study explores how social media posts regarding IPV affect an individuals’ mental and physical health through a quasi-experimental design. Three out of the four groups of participants were exposed to a mock Instagram post that included the same caption and photo for a supportive, unsupportive, and neutral condition. …

Gender Moderation On Students’ Adoption Of Whatsapp For Learning-Support Communication In Sub-Saharan Africa, Douglas Yeboah, Paul Nyagorme, Brandford Bervell, Godfred Yaw Koi-Akrofi, Awo Esaah Bempong

Journal of Educational Technology Development and Exchange (JETDE)

Gender moderation in students’ adoption of WhatsApp for supporting distance learning has not been explored. This study applied the Unified Theory of Acceptance and Use of Technology model to analyze the moderation effects of gender on students’ adoption intentions of WhatsApp for learning. Multi-stage sampling techniques were used to obtain 273 participants. Data were collected using structured questionnaire and analyzed using partial least squares structural equation modeling. Results showed that gender significantly moderated the effects of(a) performance expectancy on behavioral intention such that the effect was stronger for males than females, and (b) social influence on behavioral intention such that …

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 …

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 …

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 …

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 …

“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 …

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, …

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 …