Communication Technology and New Media Commons^™

An Updated Social Media Users’ Crisis Response Framework, Violetta Wilk, Francesca Stocco, Saiyidi Mat Roni, Ferry Jie

Research outputs 2022 to 2026

Purpose: This exploratory study aims to investigate social media users’ reactions via user-generated content (UGC) to crisis-affected supply chains, through the lens of Situational Crisis Communication Theory, to: (1) ascertain whether the Social Media Users' Crisis Response (SMUCR) Framework is applicable to a prolonged, multi-brand, global crisis and (2) whether there is any evidence of online brand advocacy (OBA) and online brand detraction (OBD). Design/methodology/approach: Natural language processing (NLP) with Leximancer, enabled thematic and sentiment analyses of 295,024 X (Twitter) posts extracted over a three-year period. Findings: This study found that there were nine stages in social media users’ response …

The Impact Of Artificial Intelligence On College Sport Communications, Will Barnhart

Masters Theses

As Artificial Intelligence technology (AI) becomes increasingly accessible, the importance of understanding its impact on peoples’ work lives is also increasing. One field that has received very little attention in relation to this subject is college sport communications. Prior research has focused on AI within the closely related fields of journalism and public relations, but no previous studies have been conducted on AI and college sport communicators specifically. To address that knowledge gap, this study surveyed members of the College Sport Communicators (CSC) on their attitudes toward AI and their usage of such technology. The data analysis showed that while …

The Influence Of Family-School Communication On Junior High School Students’ Academic Success, Stephen Junior Amoah

Masters Theses

This study examines the influence of family-school communication on students' academic success in the context of Ghana, with a particular focus on Junior High School (JHS) students. While existing research emphasizes the importance of family involvement in educational outcomes, limited studies explore how family-school communication directly affects academic success in Ghana. By using a mixed-methods approach, the study combines quantitative and qualitative data collection. The quantitative component includes an online survey distributed to JHS graduates, assessing the frequency, impact, methods, and barriers of communication between families and schools, as well as their perceived effect on academic performance. The survey includes …

Ai In Newsrooms: Assessing Perception, Challenges And Possibilities In Bangladesh’S Media Landscape, Nadia Rahman

Theses and Dissertations--Communication

With the relentless progression of technological advancements, artificial intelligence (AI) has become a transformative force across various sectors, and newsrooms are no exception. Developed nations have already integrated AI into journalistic practices, showcasing its versatility in different news functions. However, the developing nations, including Bangladesh, a south Asian nation faces challenges in catching up, marked by technological and economic disparities. As an emerging economic force Bangladesh encounters different obstacles in the adoption of AI in its media landscape. Despite the expansiveness of its media industry, the country grapples with limited technological support and inadequate training opportunities. These challenges bring up …

Cybersecurity Training As Risk Communication: A Theory-Informed Model Of Employee Learning And Behavior Change, Daniel Chaney

Theses and Dissertations--Communication

Cybersecurity threats like phishing remain a persistent and costly challenge for organizations. Despite widespread corporate cybersecurity training (CCT) programs, many fail to produce lasting behavior change. This dissertation introduces the Training Knowledge Flow (TKF) Model to assess why such efforts often fall short. Grounded in communication theory, risk messaging, and adult learning principles, the TKF Model conceptualizes cybersecurity training as a staged process of learning, application, and behavioral adaptation. The model includes three phases: (1) Employee as Learner, focusing on message clarity and cognitive engagement; (2) Employee as Practitioner, assessing workplace transfer and training relevance; and (3) Employee …

Social Media Usage And The Future Of Museum Outreach: A Case Of The Uganda Museum, Patrick Massa Birabi

Master of Arts in Digital Journalism

Despite its cultural significance, the Uganda Museum, the oldest museum in East Africa, faced challenges of declining visitor numbers and limited social media engagement. the Uganda Museum's digital presence on platforms such as X.com and Instagram remains underutilized due to a lack of strategic alignment with its mission. This study evaluated the extent of social media use for outreach, identified associated challenges and opportunities and developed actionable recommendations for enhancing the Uganda Museum’s digital engagement. The study adopted a mixed-methods approach, which combined 381 visitor surveys with in-depth interviews with 15 museum staff members, and evaluated the Uganda Museum's social …

Artificial Intelligence Adoption And Journalistic Practices: A Case Study Of Nation Media Group-Uganda (Daily Monitor), Kyomugisha Eva

Master of Arts in Digital Journalism

Like many other technologies before it, Artificial Intelligence (AI) in the media has presented both opportunities and challenges for the industry. One of the opportunities it presents is that it could make the journalists more efficient and productive in their practices such as gathering stories, editing them and distributing them to the public. However, bias, finances, ignorance have kept the media from completely embracing it and only use it for particular purposes. Nation Media Group-Uganda (NMG-U) is one of the companies that has adopted the use of AI, although not officially. The company has been using AI since 2016 but …

What Year Is It?, Kameron Neal, Movement Lab

Personal Work

No abstract provided.

Surveillance Studies, Kameron Neal, Movement Lab

Personal Work

No abstract provided.

Stereoscope Studies, Kameron Neal, Movement Lab

Personal Work

No abstract provided.

Rheology, Kameron Neal, Movement Lab

Personal Work

No abstract provided.

Commercial Attention Spaces: A Century Of Discourses, Measurements, And Models Of Attention In The Construction Of U.S. Advertising Markets, Jacob Saindon

Theses and Dissertations--Geography

A vast assemblage of networked devices populate our everyday spaces. Concomitant with the increasing ubiquity of media devices are advertisements. Indeed, many networked devices, specifically the “free-to-use” software applications, websites, or platforms displayed through them, are advertising-dependent. An assortment of firms within the commercial media industry—brands, agencies, publishers, vendors—work in concert to sustain a market for advertising. The core operation of the commercial media industry, I argue, is the production and exchange of attention as an economic object. In this study, I approach the production of attention and the framing of its markets as spatial processes. The continued growth of …

A Geopolitical Economy Analysis Of China And India’S Approaches To Transnational Data Governance, Yujia He, Ka Zeng

Patterson School of Diplomacy and International Commerce Faculty Publications

Recent literature on the behavior of rising powers in digital trade and data governance highlights their discourses of data sovereignty and desire to preserve domestic policy autonomy. This article contributes to the literature by employing a political economy lens that shifts the focus from the nation-state/inter-state framework towards the dynamics of state–capital relations, allowing for a more historical and contextual understanding of the geopolitics of data governance in emerging economies. Using China and India—two of the largest emerging economies—as comparative cases, and drawing on secondary data from government documents and other sources, the article argues that the interplay between the …

Just As Advertised: The Perception And Effectiveness Of Artificial Intelligence In Digital Advertising, Brandon Isem Cáceres

CMC Senior Theses

What do you think when you hear “AI in advertising”? Does it spark intrigue, or does it feel like just another tech buzzword? In today’s fast-paced digital marketing landscape, connecting with consumers is a high-stakes challenge, and artificial intelligence is at the forefront of innovation. From automating campaigns to creating hyper-targeted content, AI promises efficiency and precision—but how do audiences perceive this shift? By analyzing key performance indicators (KPIs) like impressions, click-through rates, and cost-per-click in an an original A/B test, this thesis evaluates the perception and effectiveness of AI-driven advertising strategies. Combining historical insights, case studies, and an original …

Donald Trump's Digital Media Campaign: How Podcasts Shaped The Political Views Of Young Men, Natalie Teare

CMC Senior Theses

This paper investigates the increase in Donald Trump’s young male voters in the 2024 presidential election through his digital media campaign. Trump was a guest on over 15 podcasts and livestreams, almost exclusively hosted by men. This paper examines three podcasts to discover what techniques Trump used to appeal to male voters: Impaulsive with Logan Paul, This Past Weekend with Theo Von, and The Joe Rogan Experience. The demographic of young men has specific interests, fears, and challenges that affect the strategies politicians use to garner their support. The advents of social media and podcasting have allowed young …

Toward A Decolonial Digitality: On Seb Franklin's The Digitally Disposed, Travis Alexander

English Faculty Publications

[Introduction] If the long hot summer of 2020 marked a season of racial reckoning, it was also—now visible in retrospect—a moment for processing with the relation between digital technologies and power. 8:46 after all names not only an event, a murder, but the title of a short digital film. A film, moreover, that has found decisively counterposed audiences in its ongoing afterlives. A forensics of police violence, on the one hand, 8:46 also avails, in the shadier corners of the dark web, the pleasures of a snuff film. In this way, 8:46 is emblematic of a broader, and, perhaps, terminal …

#Mmiw On Instagram: Contemporary Representations Of Missing Indigenous Women, Girls, And Two-Spirit People​, Sydney E. Cathcart, Renu Pariyadath

University of South Carolina Upstate Student Research Journal

This research paper overlooks the disproportionate number of missing persons and violence towards Indigenous groups, particularly women. Communication research has pointed to mass media lacking coverage on missing or murdered cases of Indigenous people, contributing to invisibility of the issue and lack of attention to the problem. Individual efforts to increase sources of information have been utilized in social media to make up for where mass media lacks. Social media creators who look to raise awareness, mobilize grassroot actions, and expand community ties. Content analysis was used to analyze content in Instagram under hashtags relevant to #MMIW–Missing and Murdered Indigenous …

Collegiate Athlete Branding And Name, Image, And Likeness On Instagram, Carson Shaw, Renu Pariyadath

University of South Carolina Upstate Student Research Journal

This study explores how collegiate athletes use Instagram to build their personal brands and maximize their Name, Image, and Likeness (NIL) potential in the era of digital self-promotion. Since the 2021 Supreme Court ruling allowing college athletes to profit from NIL, social media has become a key platform for visibility, engagement, and financial opportunity. Guided by Erving Goffman’s Self-Presentation Theory, this research employs a qualitative content analysis of 80 Instagram posts from eight collegiate athletes—four high-profile and four low-profile—representing diverse sports, genders, and institutions. Sixteen content themes drawn from prior research were analyzed, including personal life, business life, athletic performance, …

Cultural Preservation Through Promotion: Marketing The Muscogee Way, Stephanie Lawson

Theses and Dissertations

Cultural tourism is on the rise. According to UNESCO (2021), cultural tourism accounts for 40% of global tourism and is one of the fastest-growing segments of the tourism industry. Today, travelers worldwide seek authentic experiences that allow them to connect with local cultures, learn about ancient history, and engage in unique cultural activities. Meanwhile, Indigenous tourism experiences are also a growing trend in the tourism industry. Indigenous tourism is growing by 4% annually, and this growth is projected to continue until 2034 (Future Market Insights, 2024). The rising popularity of cultural and Indigenous tourism presents a unique opportunity for Native …

Riverside Readings: Audio Drama Development And Implementation Plan, Trent P. Mylie

Theses and Dissertations

The current state of media includes broadcasting, podcasting, and a new yet familiar form of accessible media through streaming. Numerous examples illustrate the significance of broadcasting and counter the notion that it is a niche or outdated form of media. Younger generations, including mine, have grown up in an era rich in media, witnessing the dawn and resurgence of formats that once seemed lost. As we transition into a collegiate environment, we seek to channel our creativity through a medium; for us, that medium is radio and podcasting. Riverside Readings allows individuals to explore their creative passions and engage in …

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 …

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 …

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 …

Meme Wars As Socially Situated Learning: Learning In Online Communities Of Hate, Conspiracy, And Insurgency, Kevin M. Clark

Midwest Social Sciences Journal

Learning is important in a pluralistic democracy, to enable citizens to make informed decisions. However, with the rise of the internet and social media, we need more than ever to understand how learning is shaped by social context and intertwined with issues of identity and belonging. One theoretical framework that addresses these social aspects of learning comes from the work of Jean Lave and Etienne Wenger on socially situated learning in communities of practice. This article focuses on what many would consider to be the darker side of learning—the rise of hate, disinformation/conspiracy, and insurgency in online communities. Specifically, it …

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 …

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 …