Book chapter
Analyzing Blending Social and Mass Media Audiences through the Lens of Computer-Mediated Discourse
Innovative Methods and Technologies for Electronic Discourse Analysis, pp 304-326
01 Jan 2014
Abstract
In recent years, mass media content has undergone a blending process with social media. Large amounts of text-based social media content have not only shaped mass media products, but also provided new opportunities to access audience behaviors through these large-scale datasets. Yet, evaluating a plethora of audience contents strikes one as methodologically challenging endeavor.
This study illustrates advantages and applications of a mixed-method approach that includes quantitative computer-mediated discourse analysis (CMDA) and automated analysis of content frequency. To evaluate these methodologies, audience comments consisting of Facebook comments and SMS mobile texting to Italian radio-TV station RTL 102.5 were analyzed. Blended media contents through computer-mediated discourse analysis expand horizons for theoretical and methodological audience analysis research in parallel to established audience analysis metrics.
Metrics
Details
- Title
- Analyzing Blending Social and Mass Media Audiences through the Lens of Computer-Mediated Discourse
- Creators
- Asta Zelenkauskaite - Drexel University
- Publication Details
- Innovative Methods and Technologies for Electronic Discourse Analysis, pp 304-326
- Series
- Advances in Human and Social Aspects of Technology
- Publisher
- Igi Global; HERSEY
- Number of pages
- 23
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Communication
- Web of Science ID
- WOS:000416675400015
- Scopus ID
- 2-s2.0-84944385732
- Other Identifier
- 991019169788104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Software Engineering
- Social Sciences, Interdisciplinary