On content analysis of images of mass protests: a case of data triangulation
Anton Oleinik ()
Quality & Quantity: International Journal of Methodology, 2015, vol. 49, issue 5, 2203-2220
Abstract:
The article discusses the methodological issues related to the content analysis of visual records of mass protests. Two categories of visual records are differentiated and compared: media coverage (documentary photography) and images from private collections (street photography). A sample of 382 images taken of the December 24, 2011 demonstration in Moscow, Russia is used for the purposes of the content analysis. The outcomes are compared with results of a survey administered among the protesters ( $$N$$ N =791). It is argued that street photography produces a more valid visual account of the protest. The content analysis of visual records can complement the other methods for studying mass protests (survey research, qualitative in-depth interviews, participant observation, and network analysis of the social networking sites), particularly if no other data is available. Copyright Springer Science+Business Media Dordrecht 2015
Keywords: Content analysis; Visual records; Triangulation; Mass protests; Russia (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1007/s11135-014-0104-x (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:49:y:2015:i:5:p:2203-2220
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135
DOI: 10.1007/s11135-014-0104-x
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().