Communication Technology and New Media Commons^™

Empowerment Or Oppression? College Students’ Interpretations Of Sex And Relationships In The Popular Media, Nicola Mcclung, Riana Pella

Journal of Media Literacy Education

Scholars have long emphasized the harmful effects of overtly sexist and oppressive media images on young people’s understandings of sex and relationships. Yet, this emphasis on explicit harm leaves a gap in understanding how college students interpret subtle, hidden, and ambiguous media messages. To address this gap, we asked 196 California college students at a large public university to critique a range of mainstream media content— from overtly oppressive, to affirming of nondominant gender identities, to containing mixed messages about empowerment and oppression. Responses were coded using our media literacy scoring guide for assessing students’ ability to critically analyze media …

Automated Media: Challenges And Opportunities For Media Literacy Education, Arnaud Claes, Jerry Jacques, Antonin Descampe, Victor Wiard

Journal of Media Literacy Education

This paper offers a theoretical reflection on the evolving landscape of automated media, focusing on how automation and so-called Artificial Intelligence (AI) are reshaping traditional media-related practices and the competences required for media literacy. It examines how automated media technologies, such as recommendation algorithms and generative AI, might reshape the critical skills necessary to navigate a complex digital ecosystem. By framing AI-driven media practices through a social-action perspective and treating media as human activities, we argue that media literacy models should encompass competences related to the operation of computational automata, particularly through the management of inbound and outbound information flows. …

Staying Relevant: Radio’S Shift Toward Gen Z’S Listening Habits, Rocky Prasetyo Jati

JURNAL KOMUNIKASI INDONESIA

The digital transformation of media has reshaped audio consumption and challenged traditional radio to stay relevant, particularly among Generation Z, the digital-native cohort. This article examines how community and hyperlocal radio stations are adapting to shifting media dynamics by combining conventional broadcasting with digital innovations. The study employs qualitative methods. As Gen Z prefers flexible, personalized, and on-demand content, radio stations are repositioning broadcasters as multi-platform content creators and online community managers. Adaptation strategies include integrating radio with visually oriented social media platforms, offering curated playlists, and adopting participatory models such as digital tipping (saweran). Radio stations are …

Civil Discourse: A 3-Part Lesson Plan With Media Literacy Connections, Greg Davis

Journal of Media Literacy Education Pre-Prints

This article presents a three-part lesson plan designed to help students develop civil discourse skills through emotional self-regulation, value exploration, and structured debate. Drawing inspiration from Alaa Al-Musalli’s work on “Unteaching Divisive Argumentation,” the lesson introduces students to the emotional dynamics of disagreement, the ethical diversity that underlies opposing viewpoints, and the practice of respectful argumentation. The culminating activity—a classroom debate over a fictitious local law regulating electric bikes and scooters—invites students to reflect on how tone, listening, and self-awareness affect discourse. Integrating media literacy, the lesson concludes with a discussion of memes and online bias, prompting students to evaluate …

Information Exposure, Communication Channels, And Ssgi 2024 Data Utilization In Health Bureaucracy, Fachrudin Ali Ahmad, Tetrian Widyanto, Leny Wulandari, Ully Adhie Mulyani, Evi Suryani, Grace Lovita Tewu, Herianti Herianti

Jurnal Vokasi Indonesia

This study aims to analyze the influence of information exposure frequency and communication channel choice on the utilization of SSGI 2024 data. This study used mixed methods, quantitative and qualitative. Data were collected through a survey of 153 respondents, predominantly government officials, and in-depth interviews with 7 key informants. Analysis was conducted using the Chi-Square test and source triangulation. The frequency of information exposure was shown to have a significant effect on data utilization (p=0.001), where high exposure increased the likelihood of data utilization by 1.7 times. In contrast, the type of communication channel (formal vs. informal) did not have …

Open The Case, Detective! A Story-Driven Game Approach To Combat Human Trafficking In Hospitality, Aili Wu, Wei Wei, Lu Zhang

ICHRIE Research Reports

Executive Summary: Human trafficking is a pervasive global crime that significantly impacts the hospitality industry, with several major hotel chains facing lawsuits for human trafficking negligence. As a highly sensitive issue that is often misunderstood, it poses challenges for hospitality businesses to effectively educate their customers. Meanwhile, existing interventions remain limited and largely rely on passive methods, highlighting the need for interactive interventions to help individuals respond effectively. This research addresses these challenges by proposing and testing a story-driven detective game as an interactive alternative. In the game, hospitality customers play the role of a detective investigating a trafficking case …

Lindenwood Digest, July 15, 2026, Lindenwood University

Lindenwood Digest

• Event & Date: Lindenwood University Employee Digest published on July 15, 2026.

• Geographic Grounding: Lindenwood University, St. Charles, Missouri.

• Key Honorees/Awards: Assistant Coach Andrew Magera was recognized in Q2 Moments for developing a customized spreadsheet tool to assist the compliance office and NCAA teams evaluate athlete status.

• Institutional Context: Highlights campus operational updates, including Move-In Day scheduled for August 20, 2026, call for 2026 Alumni Awards nominations by August 28, 2026, and upcoming Learning Academy sessions on gratitude, performance calibration, and LinkedIn Learning AI courses.

Lindenwood Digest, July 8, 2026, Lindenwood University

Lindenwood Digest

• Event & Date: The Lindenwood University Employee Digest published on July 8, 2026, outlines the STL Headliner voting period concluding on July 26, 2026, a LinkedIn Learning Course Club meeting on July 14, 2026, and Performance Evaluation Review & Calibration Sessions scheduled for July 13 and July 14, 2026.

• Geographic Grounding: Operations and sessions are located at the Spellmann Center and LARC 09, Lindenwood University, St. Charles, Missouri.

• Key Honorees/Awards: Senior Admissions Counselor Kayla Galer received recognition for cross-departmental alignment initiatives; Campus Experience Coordinator Molly Moran and Assistant Director of Traditional Undergraduate Admissions Trenece Crawford received commendations for operational support …

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Chi Meta-Project Ecosystem Overview - Spring 2026, David B. Smith

Publications and Research

This paper offers a high-level account of the Center for Holistic Integration’s (CHI) meta-project ecosystem as visualized in the included system map. CHI provides an organizational structure framed around persistent meta-projects that support and extend individual initiatives across curriculum, scholarly and applied research, infrastructure, artistic production, AI development, cultural inquiry, and external partnerships. Rather than presenting the map as a static inventory of projects, the paper examines how its core domains function as living systems through which knowledge, tools, documentation, participants, and collaborations can accumulate over time. It also considers how CHI-mediated connectivity, institutional integration, and external funding allow the …

Making Digital Connections: Extension Educators’ Perceptions And Use Of Qr Codes, Kobina D. Fanyinkah, Jefferson D. Miller, Casandra Cox, Will Doss

Journal of Human Sciences and Extension

While Extension educators recognize the potential of digital tools for outreach, there are still barriers to adoption, effective implementation, and acceptance. The goal of this study was to evaluate Extension educators’ perceptions concerning quick-reponse (QR) codes in outreach activities, including their effectiveness, integration, and barriers faced when using them. The study used a qualitative approach in the form of semi-structured interviews of twelve Extension professionals purposely sampled from the Ozark region of the Arkansas Cooperative Extension Service. Participants perceived the effective use of the technology to be related to their target clients’ age and technological proficiency. Additionally, Extension professionals reported …

Millennial Memories

DePaul Magazine

Social media influencer Kate Steinberg (CMN '13), who studied public relations and advertising at DePaul, revisits her youth and DePaul days to create viral content with a nostalgic edge.

The Study Of How Sensory Marketing Techniques Used By Beauty Brands Influence Engagement And Consumer Perception On Social Media Platforms, Particularly By Evoking Specific Consumer Emotions, Eeshani Juthani

Digital Marketing Theses

This study describes how a consumers' attitude towards beauty products on social media is affected by sensory marketing techniques and cues. This study also examines how sensory marketing tactics and elements such as sight, sound, smell, touch, and taste affects the way a consumer engages with content on social media platforms like Tiktok and Instagram.

Deepfakes As Crisis Triggers: Experimental Evidence On Response Strategy Effectiveness, Responsibility Attributions, And Sharing Intentions, Alicia Mason, Mariah Laman, Tanner Glenn, Treyton Meyers

Faculty Submissions

The term deepfake refers to falsified media content created using artificial intelligence (AI) technologies to manipulate audio, video, or images. Deepfake news fabrications are designed to appear highly realistic, making it difficult for audiences to distinguish them from authentic content. Responding to deepfake-induced  reputational threats therefore presents a unique challenge for organizations. Despite the growing prevalence of deepfake technology, little experimental research has examined how different crisis communication strategies perform in mitigating the reputational and relational harm posed by deepfake-induced crises. Accordingly, this study seeks to (1) examine how exposure to deepfake news relates to public perceptions and affect toward …

“The Ai Pushed Me To Consider New Perspectives”: Preliminary Observations On A Chatgpt Intervention Designed To Elicit Critical Thinking About Media Headlines, Karina Luna, Chelsea Julian Reynolds, Ali Zain

Journal of Media Literacy Education Pre-Prints

This study explored whether a custom AI chatbot could be a relevant tool for promoting critical thinking about news bias. The research team discusses the development of a custom critical media literacy chatbot and its implementation in an upper-division critical media studies course at a large North American public university. Students interacted with the chatbot to analyze news headlines about transgender issues, employing a scaffolded framework to dissect media framing and generate alternative frames. We argue that the same AI technologies fueling anxiety can be reimagined as partners in cultivating critical media literacy and guiding future directions in journalism pedagogy. …

Expanding The Cognitive Attentional Standards Platform Through Artificial Influence Assessment (Aia): Rationale, Development, And Measurement Design, Delante Clark

Graduate Scholarship and Creative Works

Artificial intelligence is increasingly shaping how individuals access information, make decisions, and interact with digital environments. The Cognitive Attentional Standards Platform (C.A.S.) was developed to assess attention related harms, cognitive safety, digital autonomy, and platform influence across digital systems (Clark, 2026). However, the growth of generative AI, conversational agents, and algorithmic decision support technologies has introduced new forms of influence that may not be fully captured by existing assessment domains. This paper proposes the Artificial Influence Assessment (AIA) as an expansion of the C.A.S. framework designed to measure AI mediated influence on cognition, behavior, autonomy, and information processing. Drawing on …

Governing Algorithmic Attention: Attention Safeguard Models And The Cognitive Attentional Standard As System Level Interventions In Human Computer Interaction, Behavioral Economics, And Artificial Intelligence, Delante Clark

Graduate Scholarship and Creative Works

Algorithmic recommendation systems and interface designs shape attention by combining visually salient cues with uncertain reward timing and low friction interaction. These conditions can sustain anticipatory checking, extend time on task, and reduce natural disengagement points through patterns such as infinite scrolling and autoplay. This paper synthesizes research across neuroscience, human computer interaction, behavioral economics, and artificial intelligence to argue that attention capture is a predictable outcome of incentive driven design rather than an individual failure of self regulation. It advances the Attention Safeguard Models and the Cognitive Attentional Standard as system level interventions that regulate exposure conditions, pacing, and …

Locate Alternative Media In The Digital News Ecosystem: A Cross-Country Comparative Study Of Alternative-Mainstream Audience Overlap Networks, Qinfeng Zhu, Fan Liang, Gabriel Miao Li

Communication Faculty Articles and Research

This study examines alternative media within the digital news ecosystem in six European countries: Norway, Sweden, Austria, Germany, France, and Spain. Using a network approach and a cross-country comparative design, we analyze audience overlap between alternative and mainstream media, the positions alternative media occupy within these networks, and how media systems and political contexts may shape these dynamics. Our findings show that while overall audience overlap is low, it is higher in countries where far-right populist parties have greater institutionalized access to political discourse. We also identify alternative media enclaves within the Northern-type media system characterized by strong professional journalism—particularly …

A Scoping Review Of Sycophancy In Large Language Models: Operational And Theoretical Recognition, Kallen Zhou, Manning Littlejohn, Isabella Garrard

Endeavors: Mississippi State Undergraduate Research Journal

As large language models (LLMs) usage grows across different domains, sycophancy, the tendency for output to align with users, is increasingly being recognized as a primary issue arising from applying LLMs into critical areas. Current research has provided a variety of theoretical definitions, mitigation techniques, and quantification for sycophancy. However, there is little to no consistency across different papers. This scoping review seeks to connect different works on LLM sycophancy by identifying themes in theoretical definitions, measurement methods, and inducement techniques of sycophancy. By analyzing 26 papers (preprints, conference proceedings, and journal articles) from arXiv, ACL Anthology, and Scopus, this …

Lindenwood Digest, June 24, 2026, Lindenwood University

Lindenwood Digest

• Event & Date: The Lindenwood University Employee Digest was issued on June 24, 2026, and catalogs upcoming institutional activities including a Youth in Need golf fundraiser on July 27 and Lindenwood Night at the Ballpark on September 18.

• Geographic Grounding: Campus activities, including multiple Learning Academy professional development sessions, are held in LARC 09, Lindenwood University, St. Charles, Missouri.

• Key Honorees/Awards: Employees recognized in the Q2 Moments section include Director of Information Technology Enterprise Systems and Application Development Karin May; Admissions Counselor for Traditional Students Ben Corson; and Financial Aid Advisor (P-R) Kristie Powell.

• Institutional Context: The digest documents operational …

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"Using A Sledgehammer To Crack A Nut" A Proposal To Re-Frame The Media Industry's Perspective On Generative Ai, Reace Barnett

Student Theses and Dissertations

Generative Artificial Intelligence (GenAI) continues to be a divisive topic in the media industry and there are concerns about technical challenges that may affect GenAI’s trustworthiness and reliability. As such, fears of degraded public trust in media products and services have arisen, and while we have a tendency to trust machines, it is clear that public attitudes toward automated decision-making are contentious. Previous research on machine cues found that they are associated with increased perceived objectivity and willingness to disclose information. Conversational GenAI may reduce political polarization, yet many people remain worried about risks such as bias, hallucinations, improper attribution, …