What You Use Matters: Coding Protest Data

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Abstract
Data matter. Protest data are no exception. Not all datasets are equal, nor do all have equal validity and reliability. Thus far, there has been no serious debate regarding the quality of protest datasets. Increasing attention to protest studies suggests that now is the time to talk about the sine qua non for growing knowledge in this sub-field of comparative politics. In this paper I emphasize the importance of the underlying data sources. In particular, I argue that protest datasets should be drawn from many sources, particularly as many local sources as possible, in order to provide accurate and meaningful data. To support this contention, I first discuss traditional protest datasets and their limitations and provide suggestions about how to overcome these limitations. Second, I explain an alternative type of dataset coding and its characteristics. And finally, I use statistical tests to illustrate the importance of local sources. I give my sincere and deep thanks to Erik S. Herron and Ronald A. Francisco for reviewing drafts of this paper and giving me indispensable comments and continuous encouragements. I would also like to thank Elizabeth Collins and Omur Yilmaz who edited drafts of this manuscript. My appreciation also goes to anonymous reviews of this paper and the editors of PS: Political Science and Politics. I would like to thank my late farther, Ki-Dae whose love and support were simply endless. I'll share any compliment with them, but only I will take responsibility for any error.

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