A Semantic Network and Categorical Content Analysis of Internet and Online Media Research

Abstract

This study examines the growth of new media and Internet research from 1991 to 2005. A multi-method approach using both semantic network and categorical content analysis of research abstracts from published manuscripts in ComAbstracts was performed to reveal the occurrence of relevant keywords and parallel theoretical development over time. The categorical content analysis found that 1) Internet and new (online) media studies have not been successful in finding underdeveloped or possible future uses of media although they have rapidly increased their volume, and that 2) traditional research agendas including effect, use, and development of media have been frequently studied. Semantic network analyses revealed that meaning clusters of Internet research abstracts are composed of 1) social aspect and 2) issue-based and policy agendas. The current research expanded previous analyses by using a greater number of keywords, an extended time frame, dual methods, and a more comprehensive coverage of academic journals.