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Implicit media frames: automated analysis of public debate on artificial sweeteners
Iina Hellsten1, James Dawson, Loet Leydesdorff
1VU University Amsterdam, Athena Institute, The Netherlands. hellstein.iina@gmail.com
Public Understanding of Science (Bristol, England)
|May 11, 2011
Summary
This study introduces an automated method to analyze implicit media frames, revealing how public understanding of science evolves. Analyzing semantic changes in newspaper debates helps detect emerging metaphors and track trends.
Area of Science:
- Science communication
- Media studies
- Computational linguistics
Background:
- Mass media framing significantly influences public perception of science and technology.
- Analyzing media frames over time is crucial for understanding science communication dynamics.
- Distinguishing between implicit and explicit media frames offers deeper insights.
Purpose of the Study:
- To introduce an automated method for analyzing implicit media frames.
- To investigate the evolution of media frames in public debates on science and technology.
- To explore the relationship between public discourse and scientific meaning.
Main Methods:
- Developed an automated method for implicit media frame analysis.
- Applied a semantic maps method to a case study.
- Analyzed newspaper debates on artificial sweeteners in the New York Times (1980-2006).
Main Results:
- Automated analysis of semantic changes effectively filters implicit frame dynamics.
- Detected emerging metaphors within public debates on artificial sweeteners.
- Demonstrated the utility of semantic analysis for tracking frame evolution.
Conclusions:
- Implicit media frames and their changes can be automatically analyzed.
- Semantic analysis reveals shifts in public understanding and metaphorical language.
- This approach offers new avenues for studying public discourse and scientific trends.
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