Search results
Results: 8
Number of items: 8
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Trilling, D., Tolochko, P., & Burscher, B. (2017). From newsworthiness to shareworthiness: How to predict news sharing based on article characteristics. Journalism & Mass Communication Quarterly, 94(1), 38-60. https://doi.org/10.1177/1077699016654682 -
Burscher, B., Vliegenthart, R., & de Vreese, C. H. (2016). Frames beyond words: Applying cluster and sentiment analysis to news coverage of the nuclear power issue. Social Science Computer Review, 34(5), 530-545. https://doi.org/10.1177/0894439315596385 -
Burscher, B., Vliegenthart, R., & de Vreese, C. H. (2015). Using supervised machine learning to code policy issues: Can classifiers generalize across contexts? The Annals of the American Academy of Political and Social Science, 659(1), 122-131. https://doi.org/10.1177/0002716215569441 -
Burscher, B., van Spanje, J., & de Vreese, C. H. (2015). Owning the issues of crime and immigration: the relation between immigration and crime news and anti-immigrant voting in 11 countries. Electoral Studies, 38, 59-69. https://doi.org/10.1016/j.electstud.2015.03.001 -
Burscher, B., Odijk, D., Vliegenthart, R., de Rijke, M., & de Vreese, C. H. (2014). Teaching the computer to code frames in news: comparing two supervised machine learning approaches to frame analysis. Communication Methods and Measures, 8(3), 190-206. https://doi.org/10.1080/19312458.2014.937527
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Odijk, D., Burscher, B., Vliegenthart, R., & de Rijke, M. (2013). Automatic thematic content analysis: finding frames in news. In A. Jatowt, E. P. Lim, Y. Ding, A. Miura, T. Tezuka, G. Dias, K. Tanaka, A. Flanagin, & B. T. Dai (Eds.), Social Informatics: 5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013: proceedings (pp. 333-345). (Lecture Notes in Computer Science; Vol. 8238). Springer. https://doi.org/10.1007/978-3-319-03260-3_29
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van Spanje, J., & Burscher, B. (2011). Do perceived poll results affect party preferences, or do party preferences affect perceived poll results? Conference papers: International Communication Association: annual meeting, 2011. http://citation.allacademic.com/meta/p489833_index.html
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