Social Media Commons^™

Translating Research For The Public: Lab And Online Engagement, Hannah Jiron

Posters - 2026

In the world of psychological research, we spend countless hours in the lab gathering data that has the potential to change lives. But if that data stays locked away in spreadsheets or professional journals, it remains "invisible" to the very people who need it most. As our research moves into the digital age, we have a unique opportunity to "uncloister" science taking it out of the lab and bringing it into the community. This poster explores why simply having good data isn't enough. For research to truly matter, it requires active management and a heart for public outreach. We argue …

Understanding Perceptions Of A Peruvian Local Market Program: A Reflexive Thematic Analysis, Rosmery Ramos-Sandoval Dr., Jano Ramos-Diaz

The Qualitative Report

Despite growing global interest in short food supply chains (SFSCs), little is known about how consumers in developing countries perceive these models, especially through digital platforms like social media. This study investigates how Twitter users represent and perceive SFSCs in the context of the Peruvian government´s “De la Chacra a la Olla” program. The study analyzed 1,167 tweets from Peruvian Twitter users referencing the hashtag #DeLaChacraALaOlla between 2014 and 2020, using reflexive thematic analysis within an exploratory case study framework to examine consumer perceptions of SFSCs. The analysis revealed three key themes in consumer perceptions of SFSCs on Twitter: direct …

Too Warm To Win Big? Unpacking The Backer Dynamics Behind Female Crowdfunding Success Using A Warmth And Competence Perspective, Dan Liu

Journal of International Technology and Information Management

While crowdfunding is often heralded as a democratized funding avenue that empowers women with higher success rates, this study reveals a more nuanced picture of gender dynamics. The Stereotype Content Model suggests that women are often perceived as warmer but less competent. Using a large dataset from Kickstarter, we find that female-led projects can attract more backers, likely due to warmth-driven appeal, but receive smaller average contributions, potentially due to concerns about risk linked to lower perceived competence. However, the total funding raised by female-led campaigns is comparable to that of male-led ones, showing no clear advantage or disadvantage. This …

Online Community Dynamics: An Analysis Using Louvain During Major Sporting Events, Anushka Jaint, Yashodhan Karulkar, Kashish Jindal, Sri Sai Harshita Gadavarthi, Sanya Gulati

Journal of International Technology and Information Management

With the power of social media transforming the way people connect and interact with each other, the dynamics of community formation on platforms such as X during major events are of crucial importance. While social media is an increasingly key driver in determining interactions, little is known about the online influence forming and developing fan communities in high-stakes events. This study looks into the development of user communities for datasets drawn from Kaggle on two of the world’s largest sporting events: the FIFA World Cup 2022, or football, and the T20 World Cup 2022, or cricket, with the aim of …

Blockchain As A Digital Coordination Infrastructure For Project Management: A Systematic Review And Integrative Framework, Cherie Bakker Noteboom, Sai Neelima Seru, Aravindh Sekar

Journal of International Technology and Information Management

Blockchain technology has gained increasing attention as a digital infrastructure capable of improving transparency, trust, and coordination in complex, multi-organizational project environments. However, existing research on blockchain-enabled project management remains fragmented and industry-focused, providing limited guidance for organizational adoption and integration. This study addresses this gap through a systematic literature review of 29 peer-reviewed studies, following PRISMA guidelines, to examine how blockchain capabilities are incorporated into project management practices across industries and maturity stages.

Grounded in Resource-Based View and Coordination Theory, the analysis employs a feature-to-process mapping approach to link six core blockchain capabilities—decentralization, transparency, immutability, smart contracts, traceability, and …

The Value Of Personal Data Ecosystems: A Flemish Media Sector Case Study, Maarten De Mildt, Melanie Verstraete, Sofie Verbrugge, Didier Colle

Journal of International Technology and Information Management

Personal Data Stores (PDSs) have been proposed as a privacy-preserving approach to data sharing that increases individual control over personal data while enabling new forms of cross-organizational collaboration. This collaboration leads to the emergence of Personal Data Ecosystems (PDEs). Despite growing interest in PDEs, limited research has examined how the organizational and economic barriers identified in prior studies manifest in practice. This paper investigates these challenges through a case study of the Flemish media sector within the Solid4Media project, which explores the use of PDSs to support data sharing and personalization across media organizations. Using a qualitative research design, data …

Responsible People Analytics For Remote-Work Decisions: A Machine-Learning Benchmark For Classifying Perceived Productivity, Ruth Menjivar, Nima Molavi, Narges Mashhadi Nejad

Journal of International Technology and Information Management

This study examines whether employee-perception survey data can support responsible people-analytics decisions about remote-work productivity. Using the public New South Wales (NSW) Remote Working Survey 2021 (N=1,512), the study benchmarks statistical and machine-learning classifiers for self-reported perceived productivity classes (same, less, or more productive when working remotely relative to onsite work), not objective output, under default, class-weighted, and resampling protocols. Main evidence comes from 5×5 repeated stratified cross-validation using macro F1 and balanced accuracy with fixed model specifications. Class-balanced separability is modest. Random Forest, CatBoost, and LightGBM form a leading cluster with overlapping confidence intervals (macro F1 ≈0.51–0.52). Affective/well-being items, …

Towards Developing A Career Technology Fit Framework And Analyzing Its Influence On Work-Related Outcomes Among It Professionals, Gunjan Tomer

Journal of International Technology and Information Management

With growing attrition rate and significant demand for skilled IT professionals, the importance of studying their behaviour has become important for both academia and industry. Despite ample amount of research, there is still a gap between theory and practice. Based on our qualitative study conducted on Indian IT professionals we propose that technology allocation might contribute in understanding the behaviour of IT professionals. We found that IT professionals evaluate the technology allocated to them based on their individual career motives. This evaluation, either positive or negative, influences their job outcomes. Further, we explored the factors that make a technology preferable …

High Technology And The Developing State: The Arrival Of Supercomputers In India, Ramesh Subramanian

Journal of International Technology and Information Management

While India has made vast strides in information technology in the last few decades, its success is mainly attributed to its software, rather than its hardware sector. In fact, India’s attempts at developing computer hardware that can match international standards have largely been unsuccessful. A notable exception is its development of a series of supercomputers that match and exceed many international standards. This paper looks at an interesting period in India’s computing history – namely the 1980s and 1990s – focusing on its development of an indigenous supercomputer. During that period, supercomputers were thought to be the sole privy of …

Early Stem Impressions, Student Engagement, And Readiness For Digitalization, Myron Sheu

Journal of International Technology and Information Management

This study examines how early impressions of science, technology, engineering, and mathematics (STEM) shape business students’ learning behaviors and, ultimately, their readiness for organizational digitalization. Focusing on gender differences, subgroup identities, and perceived obstacles, the analysis uses survey data processed through correlation matrices, regression models, and subgroup heatmaps to trace the relationship between initial attitudes toward STEM and subsequent engagement patterns. The findings reveal consistent links between positive early impressions and active participation in structured STEM activities, along with gender-based distinctions in action preferences. Subgroup analyses further uncover nuanced patterns where stereotypes or perceived barriers correspond with reduced engagement. Collectively, …

The Crowdfunding Paradox In Crisis: Rising Funder Demand Vs. Declining Entrepreneur Supply, Dan Liu, Guangzhi Shang, Cynthia Fan Yang

Journal of International Technology and Information Management

This study investigates how the crowdfunding marketplace responds to major crises, focusing on behavioral shifts among funders and entrepreneurs. Results show a dual impact on platform dynamics. On the demand side, funders become more engaged, with notable increases in the number of backers, average contributions, and total pledge amounts. This heightened activity suggests stronger altruistic motivations, as individuals view crowdfunding as a way to support others during difficult times. On the supply side, however, entrepreneurs act more cautiously, leading to a decline in new project launches. This drop likely reflects increased risk aversion and uncertainty as creators navigate volatile conditions. …

Unseen Bias: How Ai Shapes Religious Narratives In Digital Spaces, Hilman Nurjaman, Achmed Faiz Yudha Siregar, Jasmine Rizky El Yasinta

Journal Of Middle East and Islamic Studies

This study explores the role of artificial intelligence (AI) in shaping religious narratives in digital spaces, particularly on social media platforms and AI chatbots. Using sentiment analysis and qualitative content analysis, this research examines religious discourse in Indonesia, focusing on the impact of AI-driven content personalization, such as 'filter bubbles' and 'echo chambers'. The findings indicate that AI algorithms reinforce religious biases, intensifying polarization and discrimination, especially between majority and minority religious groups. The study also highlights the socio-political factors influencing these dynamics, including identity politics, historical religious tensions, and conservative social norms. This research emphasizes the need for a …

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …

Analisis Perbandingan Sentimen Pengguna Ipusnas Dan Jaklitera Dengan Algoritma Sentiwordnet, Putri Fajar Ayu Hendrayani, Rahmi Rahmi

Jurnal Ilmu Informasi, Perpustakaan, dan Kearsipan

iPusnas and JakLITera are two national digital library applications developed to enhance public access to literacy in Indonesia. This study compares user perceptions of both applications through sentiment analysis using the SentiWordNet (Sentiment WordNet) algorithm, implemented in Orange data mining software. The dataset comprises user comments from the Google Play Store, collected between 2023 and 2025. A qualitative, lexicon-based method was applied to classify sentiments into positive, neutral, and negative categories. Results show that iPusnas is dominated by negative sentiment (47%), mainly due to technical issues such as bugs, login failures, and slow performance. In contrast, JakLITera received 55% positive …

A Measurement And Empirical Research On The Scientific Knowledge Demand Of Netizens On Social Media Platform, Rui Zhang, Wanyi Zuo, Wei Huang

Journal of Scientific Information Research

[Purpose/significance] Exploring the scientific knowledge demand of netizens on social media platform will prompt the dissemination and utilization of scientific knowledge, and it plays an important role in enhancement of the scientific literacy level of our general publics.

[Method/process] This paper constructed a measurement index system of netizens' scientific knowledge demand consists of demand breadth, demand strength and demand hierarchy, and adopted a comprehensive evaluation method based upon factor analysis and entropy method. 30 popular science WeChat accounts in different fields are measured and evaluated, and the comprehensive ranking of demand was calculated to explore and compare the demand differences …

"Social Media Is Imperfect, But It's The Best We Have": Understanding And Addressing Sexual Health Information Seeking Challenges Among Young Adults, Alexander N. Vera

MUSC Conference Presentations

Objective:

Young adults in South Carolina face increasing challenges when seeking accurate sexual health information due to limitations in traditional and authoritative sexual health education and healthcare access. This paper investigates the future of libraries and health science librarians by exploring how young adults use social media platforms to seek sexual health information. It identifies the primary barriers young adults face and investigates opportunities for developing innovative digital health literacy resources.

Methods:

This study employed a dual-method qualitative approach, utilizing 90-minute semi-structured interviews and digital walkthroughs with 20 young adults aged 18-25 from across South Carolina. The interviews explored participants' …

Pengaruh Literasi Digital Dan Persepsi Risiko Orang Tua Terhadap Praktik Sharenting Di Media Sosial, Rusyda Hijriyati Hasanah, Elva Rahmah

Jurnal Ilmu Informasi, Perpustakaan, dan Kearsipan

Sharenting is a term that refers to the behavior of parents who routinely share their children's activities in visual form (photos or videos) through various social media platforms. This study aims to explore the influence of parents' digital literacy skills and risk perception on sharenting activities on social media. This study adopted a quantitative method using survey technique as the data collection instrument. By applying the snowball sampling method, 70 participants were involved in filling out the questionnaire. Data analysis was conducted by utilizing IBM SPSS Statistic software version 26.. The results of this study yielded several important findings: (1) …

“We’Re Librarians”: Using Tiktok To Connect Students With Information Literacy Skills, Hannah Krauss

All Musselman Library Staff Works

This poster presentation details the ways that Musselman Library has utilized TikTok and other short form video apps to engage with their users and teach bite-sized information literacy concepts. The poster reviews relevant pedagogy and gives suggestions to other libraries looking to start their own TikTok accounts.

Are Emojis The New Words? A Sentiment Analysis Of Social Media Brand Conversations, Yashodhan Karulkar, Dev T. Vora, Siddharth Vaddepalli, Yash Thakur

Journal of International Technology and Information Management

Emojis have become an increasingly important aspect of consumer-brand interactions in the Indian subcontinent. However, the impact of emoji use on brand image and mental health remains underexplored, particularly in emerging economies like India, where structured research on this topic is limited. To address this gap, the present study analyzes over 4,600 consumer tweets related to 19 prominent brands across eleven industries. Using VADER sentiment analysis, the research develops a metric to assess consumer sentiment and brand engagement in relation to emoji usage. The findings indicate that effective integration of emojis contributes to positive consumer sentiment and enhanced brand engagement. …

Resilience And Reality: Exploring The Lived Experiences Of People Living With Hiv In Texas During The Covid-19 Pandemic – A Qualitative Study., Ahmed F. Alanazi

Social Work Dissertations - Archive

This study investigated the lived experiences of individuals living with HIV (PLWH) in the Dallas-Fort Worth (DFW) area of Texas during the COVID-19 pandemic, using an Interpretative Phenomenological Analysis (IPA) framework. The research examined the intersection of health, social dynamics, and psychological resilience among PLWH, who faced compounded vulnerabilities due to systemic inequities and the dual public health crises of HIV and COVID-19. Through semi-structured interviews with ten participants from diverse backgrounds, the study captured the profound impacts of disrupted healthcare systems, heightened stigma, and social isolation on this marginalized population. The findings reveal that the pandemic exacerbated existing inequities …

Understanding The Determinants Of Blockchain Adoption: An Empirical Study, Amarpreet Kohli, Nihar Kumthekar, Piyush Shah, Rebecca Jauch

Journal of International Technology and Information Management

Blockchain technology (BT) has the potential to enhance security and robustness of transactions through a distributed ledger bookkeeping process. This study employs technology-organization-environment (TOE) framework and threat-rigidity theory (TRT) to examine whether perceived disruption caused by COVID-19 pandemic significantly impacted the adoption of BT, and inclination to adopt BT in the US. The COVID-19 pandemic provided a unique backdrop, as it affected businesses across all industries, sizes, and geographies. Results show a non-significant effect of perceived pandemic disruption on the current stage of BT adoption and intention to adopt BT. However, disruption readiness positively influences the current stage of BT …

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 …

Memetic Memory As Vital Conduits Of Troublemakers In Digital Culture, Alexander O. Smith, Jordan Loewen-Colón

School of Information Studies - Post-doc and Student Scholarship

Recent fears of data capitalism and colonialism often argue using implicit assumptions about cybernetic technology’s ability to automate data about culture. As such, the level of data granularity made possible by cybernetic engineering can be used to dominate society and culture. Here we unpack these implicit assumptions about the datafication of culture through memes, which both act as cultural data and cultural memory. Using Alexander Galloway’s critical method of protocological analysis and descriptions of media tactics, we respond to fears of cybernetic domination. Protocols – the source by which cybernetic technologies enable automated datafication – enables us to respond to …

An Evaluation Of Social Media Privacy Policy Compliance Based On Lda Topic Modeling, Xukan Xu, Li Yi, Jin Tang

Journal of Scientific Information Research

[Purpose/significance]In today's increasingly important personal information protection, the compliance evaluation study of social media privacy policies in China is conducted to provide reference for improving social media privacy policies and strengthening personal information protection. [Method/processes]The article selects 28 commonly used social media and comparatively analyzed their privacy policy texts based on LDA topic model, completeness evaluation and reading sense analysis. [Result/conclusion]It is found that with the introduction of relevant information protection laws, social media has made positive progress in privacy protection and information security, but there existed room for further improvement in terms of policy integrity, protection of special groups …

Identifying Dark Patterns In User Account Disabling Interfaces: Content Analysis Results, Dominique Kelly, Victoria L. Rubin

FIMS Publications

Dark patterns are user interface (UI) strategies deliberately designed to influence users to perform actions or make choices that benefit online service providers. This mixed methods study examines dark patterns employed by social networking sites (SNSs) with the intent to deter users from disabling accounts. We recorded our attempts to disable experimental accounts in 25 SNSs drawn from Alexa’s 2020 Top Sites list. As a result of our systematic content analysis of the recordings, we identified major types of dark patterns (Complete Obstruction, Temporary Obstruction, Obfuscation, Inducements to Reconsider, and Consequences) and unified them into a conceptual model, based on …

Digital Phobia: An Inquiry For Mapping The Unseen Dimension Of New Digital Anxiety, The ‘Digiphobia’, Amarjit Kumar Singh ,Library Assistant, Md. Arshad Ali , Professional Assistant, Dr. Pankaj Mathur, Deputy Librarian,

Library Philosophy and Practice (e-journal)

Background: As technology continues to advance, individuals' interactions with digital platforms have become integral to daily life. Amidst this technological evolution, a novel concern emerges—Digital Phobia, hereafter referred to as “Digiphobia.” This phenomenon, although not previously explored in scholarly literature, necessitates an in-depth investigation due to its potential impact on individuals' well-being. Our research employs a two-step methodology to investigate its existence, implications, and manifestations.

Introduction: This research paper introduces and proposes the term "Digiphobia" as a comprehensive conceptualization of anxiety arising from interactions with digital spaces, applications, and environments. The proliferation of digital technologies has led to the emergence …