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Dynamics and tipping point of issue attention in newspapers: quantitative and qualitative content analysis at sentence level in a longitudinal study using supervised machine learning and big data |
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| Authors: | Opperhuizen A. E. Schouten K. |
| Affiliation: | 1.Erasmus School of Social and Behavioural Sciences, Rotterdam, The Netherlands ;2.Social and Behavioural Sciences, Erasmus University Rotterdam, Oudlaan 50, Room T17-54, P.O. Box 1738, 3062 PA, Rotterdam, The Netherlands ;3.Erasmus School of Economics, Erasmus University Rotterdam, Oudlaan 50, Room W-H8-09, P.O. Box 1738, 3062 PA, Rotterdam, The Netherlands ; |
| Abstract: | Quality & Quantity - This study aims to provide a more sensitive understanding of the dynamics and tipping points of issue attention in news media by combining the strengths of quantitative and... |
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