Frames (Automated Content Analysis)

Frames describe the way issues are presented, i.e., what aspects made salient when communicating about these issues. Field of application/theoretical foundation: The concept frames is directly based on theory “Framing”. However, many studies using automated content analysis lacking a clear theoretical definition constitutes frame. As an exception, Walter and Ophir (2019) use to explore issue strategy as defined by Cappella Jamieson (1997). Vu Lynn (2020) refer Entman’s (1991) understanding frames. datasets referred in table described following paragraph: Van der Meer et al. (2010) dataset consisting Dutch newspaper articles (1991-2015, N = 9,443) LDA topic modeling combination with k-means clustering identify three different modeling, network community detection algorithms analyze Their consist political wire service coverage (N 8,337), foreign nations (2010-2015, 18,216) health-related (2009-2016, 5,005). Lastly, Rohingya crisis (2017-2018, 747) concerning References/combination other methods data collection: While most approaches only rely collection analyses, some also combine manual coding. For example, recent study proposes semantic networks coding Table 1. Measurement “Frames” analysis. Author(s) Sample Procedure Formal validity check benchmark* Code & Newspaper Semantic networks; Reported Not available van modeling; reported (a) U.S. newspapers (b) (c) analysis; https://github.com/DrorWalt/ANTMN *Please note that sources listed here tutorials how conducted analyses – therefore not focused validation results. Readers should simply read this column indication terms which they can if interested References Cappella, J. N., Jamieson, K. H. Spiral cynicism: press public good. New York: Oxford University Press. Entman, R. M. 1991. Framing international news: contrasts narratives KAL Iran Air incidents. Journal Communication, 41(4), 6-7. Meer, T. G. L. A., Kroon, A. C., Verhoeven, P., Jonkman, (2019). Mediatization disproportionate attention negative case airplane crashes. Journalism Studies, 20(6), 783–803. Walter, D., Ophir, Y. News frame analysis: inductive mixed-method computational approach. Communication Methods Measures, 13(4), 248–266. Vu, T., Lynn, N. (2020). When news takes sides: Automated framing rohingya elite from countries. Studies. Online first publication. doi:10.1080/1461670X.2020.1745665