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Communication and Technology

Communication and technology research has experienced parallel growth to the dissemination and adoption of personal computers, with key developments and steady growth occurring in the 1970s and 1980s, immense development in the 1990s, and continued proliferation, refinement, and development in the new millennia to the present time. Much of the scholarly work in communication and technology has often been categorized as computer-mediated communication (CMC) or human-computer interaction research. Although the current plethora of devices available goes well beyond just the computer, the CMC categorization has persisted and is most often used in the communication discipline. CMC has been widely studied using nearly every social scientific research method conceivable. Therefore, this entry broadly discusses the primary contexts, methods, and approaches in which communication and technology research have been examined. Specifically, the historical development of CMC research, commonly employed theories and concepts in CMC that utilize a wide array of research methods, and challenges in conducting communication and technology research are highlighted.

Communication and Technology: A Historical Perspective

Research focused on social interaction through the use of digital communication technology originated in the 1970s. At that time, scholars such as Starr Roxanne Hiltz and Murray Turoff described anecdotal evidence of the ways that academic and scientific researchers socialized and shared meaningful interpersonal exchanges using early versions of the modern Internet that were developed by the U.S. government. This is significant to note for a few reasons. First, these meaningful social exchanges occurred despite the fact that these early networks would be considered quite crude and only offered text-based capabilities, not to mention slow processing speeds as compared to modern devices. Second, these early networks were developed to be a fully task-oriented system that would allow for essential communication to take place in the event of a large-scale attack on one or a few large cities in the United States. In other words, the first iterations of the Internet were not created or engineered with socialization purposes in mind, as has become the primary use of CMC today.

However, the perception of communication technology being impersonal and best suited for task-oriented purposes was a recurring theme in CMC research well into the 1980s. Scholars often proposed, and found evidence to support, the claim that text-based CMC groups would perform worse than similar face-to-face groups when given team-based tasks in experimental conditions. At that time, many scholars theorized that CMC inherently lacked the important attributes of face-to-face communication, such as nonverbal communication cues (e.g., eye contact, facial expressions, body position), and therefore would always be inadequate when compared to face-to-face communication. However, emerging research in the late 1980s and early 1990s began to uncover a great deal of evidence, as Hiltz and Turoff did a decade earlier, that the claim that CMC was “cold” and impersonal was flawed.

Theoretical Development of Communication and Technology

Interpersonal Communication Approaches

In the 1990s, CMC theories and the research they stimulated had a significant effect on how communication scholars approach technology-related phenomena to this day. Widely cited theoretical approaches in the communication discipline include Joseph Walther’s social information processing theory (SIPT) and hyperpersonal communication. In the SIPT, Walther noted that human beings are relationally motivated and look to form interpersonal impressions of others, independent of the channel they are using to communicate messages. He also noted that previous CMC experiments failed to take into account that text-based CMC may require users to exchange more messages over a longer period of time to achieve the same outcomes as face-to-face communication and that early CMC experiments failed to account for relationship development between users over time.

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