Jung et al. find the evanishing effect — source cues (human vs. AI) are recognized but don't shift credibility evaluations. The machine heuristic is an individual difference, not a cue-dependent reflex. Read it: stars.library.ucf.edu/hmc/vol12/is... #HMC
New in @HMCjournal (Vol. 12)! 🤖📰 Jung, Piercy, & Spence ask: does it matter if your news source is human or AI? Spoiler: less than you'd think. "Normalizing AI: The Evanishing Effect and Rethinking the Machine Heuristic" #HMC #HumanMachineCommunication
Using survey data and clustering, Mays and Novozhilova show how humanizers, pragmatists, and skeptics differ in expectations for empathy, cognition, and task roles, with implications for AI adoption and threat perceptions across everyday contexts. stars.library.ucf.edu/hmc/vol12/is...
What do people think AI should be capable of and what roles it should play? In “AI Humanizers, Pragmatists, Skeptics: A Cluster Analysis of Normative Attitudes for AI’s Capabilities and Roles,” Kate K. Mays and Ekaterina Novozhilova map three distinct public orientations toward AI.
New in Human-Machine Communication: Árni Már Einarsson & Ekaterina Pashevich examine naturally occurring student–chatbot interactions, showing how human–AI relations are communicatively constructed through patterns of activity and agency negotiation.
stars.library.ucf.edu/hmc/vol12/is...
New article: “The Material Condition: A Practice Theory-Oriented Infrastructural Turn to the Ethics of Human-AI Communication” by Anne Mollen and Sigrid Kannengießer.
Read it here: stars.library.ucf.edu/hmc/vol12/is...
#hmc
Read the article: stars.library.ucf.edu/cgi/viewcont...
New in Human–Machine Communication: Andrew Prahl’s “Two Years to Madness: A 30-Month Journal of Human–Machine Communication and Second-Hand Reality” explores how sustained engagement with generative AI reshapes identity, cognition, and everyday life.
#hmc #AI
Klaus Bruhn Jensen’s Whole Earth Machines: Human-Machine Communication for a Green Transition 🌱📡 examines how communication systems and Whole Earth Machines inform climate action and human–machine coexistence.
stars.library.ucf.edu/cgi/viewcont...
Excited to share Volume 12 of the Human-Machine Communication Journal is now live 🎉! Explore all the articles here: stars.library.ucf.edu/hmc/
— we’ll be highlighting these amazing pieces over the next few weeks. Stay tuned!
🎉 Exciting news — Human–Machine Communication (HMC) is now accepting submissions for the July issue. Deadline: January 2. Huge thanks to our dedicated editorial board for strengthening our community. Check out the submission page and guidelines here: stars.library.ucf.edu/hmc/
Across a 4-week field study, exposure to an AI-generated, community-centered nonprofit news site increased trust in AI news, trust in nonprofits, social capital, and civic engagement. A strong contribution to emerging Human–Machine Communication scholarship.
New research by Seungahn Nah et al., “The Algorithmic Public Sphere: AI-Generated News Site as a Conduit to Social Capital,” examines how AI news platforms shape trust, social capital, and civic engagement.
stars.library.ucf.edu/cgi/viewcont...
The deadline for submitting manuscripts for the July volume is coming up! Please remember to send your contributions by January 2, 2026. #hmc
How do students in China, Italy, Kenya, Uruguay, and the United States understand and use ChatGPT? This international team offers a comparative look.
New publication alert. Leopolidina Fortunati, Autumn Edwards, WeiMing Ye, Anna Maria Manganelli, Chad Edwards, Soledad Caballero, Lusike Mukhongo, and Giovanni Ferrin examine global student perspectives in Making Sense of the Role of ChatGPT in Education. stars.library.ucf.edu/cgi/viewcont...
Manuscripts for the July volume are due January 2, 2026. #hmc.
Findings reveal that students see GenAI as helpful for learning but also believe the likelihood of being caught for misuse is high and the consequences severe. The article is open access here: stars.library.ucf.edu/cgi/viewcont...
New in Human Machine Communication: Jessalyn I. Vallade, Renee Kaufmann, and Trenton Upchurch publish “Made Classes Easier Than a Coloring Sheet”: Student Perceptions and Uses of GenAI. The study shows how students balance benefits, risks, and ethical concerns when using GenAI.
🚀 New in Human–Machine Communication: “Coding OpenAI in an Open-Sourced Code Sharing Platform” explores how global developers collaborate on ChatGPT projects on GitHub, reshaping AI innovation worldwide. 📷https://doi.org/10.30658/hmc.11.3
#hmc #AI #OpenSource
Calling all #HMC scholars! The Human-Machine Communication journal now welcomes submissions in January and July, with issues released six months later. Join our open-access community.
🔗 stars.library.ucf.edu/hmc
The study shows attitudes hinge on beliefs about objectivity, ethics, and performance.
Read in Human–Machine Communication: stars.library.ucf.edu/hmc/vol10/is...
How do people really feel about algorithms making decisions? Bock & Rosenthal-von der Pütten introduce the Attitudes Toward Algorithms Scale (ATAS).
Surveying 435 students, Rauf Arif, @ittefaq.bsky.social, & Lamia Zia found strong optimism about AI’s creative and educational benefits, alongside concern about misinformation and job loss.
Their research reminds us that non-Western perspectives are vital to global conversations about AI’s future. 🌍
How do college students in Pakistan view #AI—friend, threat, or something in between? 🇵🇰
A new study in HMC explores how students outside the West make sense of AI in learning and everyday life.
stars.library.ucf.edu/cgi/viewcont...
🧵 Highlights include pieces on:
• AI in global higher education
• Persuasive power of AI chatbots for mental health
• How readers evaluate AI-generated news
🚀 Just published: Human-Machine Communication Vol. 11 (2025) — Generative AI: Another Chapter of Human-Machine Communication
Delve into new research on how generative AI is reshaping discourse, agency, trust, education & more.
🔗 stars.library.ucf.edu/hmc/
Anthropomorphic e-scooter apps boost positive attitudes toward the scooters themselves. #HMC
stars.library.ucf.edu/hmc/vol10/is...
New in Human-Machine Communication Vol. 10: Ratan & colleagues show CASA isn’t static, apps can make tech feel human & likable. #HMC
They argue humans + machines can form collectives where responsibility is shared — closing gaps in who’s to blame when tech acts. #AIethics #hmc
