Computer Mediated Communication
What it is
Computer Mediated Communication, abbreviated CMC, is the broad study of human communication that passes through networked computing devices rather than face to face. It covers email, chat, forums, messaging, and social platforms, asking how the medium itself reshapes what people say, how they relate, and how groups form. Rather than one tight hypothesis, CMC is a research tradition that gathers many narrower theories under a single question about mediation.
The core idea
The central insight is that mediation is not neutral. When communication moves through a screen, the channel filters out the nonverbal cues of voice, face, and body, and it loosens the grip of time and space through asynchronous, often anonymous exchange. These structural features do not merely transmit talk, they alter it, changing participation, self presentation, group dynamics, and the pace and tone of relationships in ways that diverge from in person interaction.
How it is used
Scholars use CMC as the frame for comparing mediated and face to face interaction and for situating more specific models. Early cues-filtered-out work predicted that thinner channels would impoverish communication, while later relational theories showed that users adapt and even exploit the medium. Researchers apply it to study online groups, virtual teams, identity, support communities, and the design of communication technologies, treating the medium as a variable rather than a transparent pipe.
In practice
Consider two colleagues coordinating a project entirely over text chat. With no tone of voice or facial expression, a terse reply reads as cold, so they compensate with exclamation points, emoji, and explicit warmth that they would never narrate aloud in person. Over weeks, the asynchronous channel lets them craft careful messages and even build a closer working bond than their hallway small talk ever produced, illustrating how mediation both constrains and reshapes the relationship.
Key studies & evidence
Starr Roxanne Hiltz and Murray Turoff established the field with The Network Nation in 1978, mapping how computer conferencing could reshape human communication and community. Sara Kiesler, Jane Siegel, and Timothy McGuire then gave CMC its first influential empirical and theoretical anchor in their 1984 American Psychologist article, showing that groups communicating by computer participated more equally, deliberated differently, and behaved with less inhibition than face to face groups, the basis of the cues-filtered-out perspective. Joseph Walther reoriented the field in 1992 with Social Information Processing theory, arguing that users adapt to thin channels over time, and later with the hyperpersonal model, demonstrating that mediated communication can become more intimate than its offline counterpart.
Critiques & limitations
The chief criticism is that CMC is an umbrella, not a theory, so it predicts little on its own and inherits the contradictions of the models it houses. Early cues-filtered-out accounts proved too pessimistic, repeatedly contradicted by evidence that people build rich relationships online. The tradition has also struggled to keep pace with technology: theories built on slow, text-only systems do not map cleanly onto video, voice, and visually saturated social media, which restore many cues the original framing assumed were absent. Critics further note that treating the medium as the cause can obscure the social context, norms, and individual differences that often matter more than the channel itself.
Applications
CMC anchors most teaching about mediated interaction, from virtual teamwork and online community moderation to the design of messaging and collaboration tools. In a communication classroom it provides the vocabulary for analyzing why a flame war erupts in a comment thread or why a support forum feels intimate. The framework maps cleanly onto AURA Lab interests: mediated presence and social VR test what happens as channels add back cues that early CMC assumed were gone, livestreaming blends synchronous text chat with broadcast, and social-media analytics let researchers observe self presentation, group identity, and relational development at scale across genuinely networked publics.