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Computational-Content-Analysis-2018 / 5-Jan-Machine-Translation-Mining-Text-for-Social-Theory

Evans, James and Pedro Aceves. 2016. “Machine Translation: Mining Text for Social Theory”. Annual Review of Sociology 42:21-50. DOI: 10.1146/annurev-soc-081715-074206
https://github.com/Computational-Content-Analysis-2018
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analyzing twitter to understand populist claims #16

Open HyunkuKwon opened 6 years ago

HyunkuKwon commented 6 years ago

I recently read a paper written by Bart Bonikowski and Gidron (Social forces), which uses automated text analysis to elicit populist discourse structure from presidential address in U.S. I draw on their work, and applied the word structure they elicited to examine other sources, twitter in particular. The results were interesting, but I wonder whether this research strategy is valid. In other words, is text-analysis context-specific, or can we assume the external validity of such research?

sunnyJy commented 6 years ago

I also had a similar question when I reading Evans and Aceves (2016). Different cultures may have different ways to use the words and make expressions. Some even use jargons. When researches study the text in a certain culture, I think the analysis should be tailored to the context.