Analyzing Media Messages: Using Quantitative Content Analysis in Research - Tapa blanda

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Daniel Riffe is Professor Emeritus in the School of Journalism and Media at the University of North Carolina at Chapel Hill, USA, and former editor of Journalism and Mass Communication Quarterly. His research examines mass communication and environmental risk, political communication and public opinion, international news coverage, and research methodology. Before joining UNC-Chapel Hill, he was Presidential Research Scholar in the Social and Behavioral Sciences at Ohio University.

Stephen Lacy is Professor Emeritus at Michigan State University, USA, where he studied content analysis and media managerial economics for more than 30 years in the School of Journalism and Department of Communication. He has co-written or co-edited five other books and served as co-editor of the Journal of Media Economics.

Brendan R. Watson is an independent scholar. His research examines the role of public affairs news/information in helping communities cope with social upheaval due to the increasing urbanization, globalization, and pluralism of postindustrial society. He also studies research methodology. He has taught graduate seminars in content analysis at Michigan State University and the University of Minnesota, where he was previously on the faculty. He holds a Ph.D. in Mass Communication from the University of North Carolina at Chapel Hill. He currently works for Level, a performance marketing agency.

Jennette Lovejoy is Professor and Chair of the Department of Communication and Media at the University of Portland, USA. She teaches critical media, journalism, and research methods. Her interdisciplinary research spans media, health, and content analysis methods. She has edited multiple books and published in leading communication and medical journals.

De la contraportada

The fifth edition of this comprehensive and engaging text guides readers through the essential tools and skills necessary to conduct quantitative content analysis research.