Understanding large scale online environments with qualitative methods

Large scale online environments, in which there are hundreds of thousands, and often millions of links, present an emerging phenomenon where millions of people come together online to share and consume information. The resulting massive amounts of data have been a fertile ground for quantitative researchers. Qualitative studies of these environments are less common, suggesting that the scale and the constant change of these environments pose considerable challenges for qualitative researchers. We present an exploratory study into the challenges and opportunities experienced by researchers conducting qualitative research in large scale online environments, and a meta-analysis of papers from the ACM Digital Library that reveals how few published research studies use qualitative methods to investigate large-scale online environments. We discuss practical and theoretical issues arising from the unique stance of qualitative researchers in these environments.

[1]  Marc A. Smith,et al.  A Conceptual and Operational Definition of 'Social Role' in Online Community , 2009 .

[2]  A. Strauss,et al.  Basics of qualitative research: Grounded theory procedures and techniques. , 1993 .

[3]  Ulrik Brandes,et al.  Network analysis of collaboration structure in Wikipedia , 2009, WWW '09.

[4]  David R. Millen,et al.  Rapid ethnography: time deepening strategies for HCI field research , 2000, DIS '00.

[5]  B. Nardi,et al.  Ethnography and Virtual Worlds: A Handbook of Method , 2012 .

[6]  Bonnie A. Nardi,et al.  My Life as a Night Elf Priest: An Anthropological Account of World of Warcraft: Excerpts , 2010, First Monday.

[7]  D. Boyd Why Youth (Heart) Social Network Sites: The Role of Networked Publics in Teenage Social Life , 2007 .

[8]  Allison Druin,et al.  Extreme ethnography: challenges for research in large scale online environments , 2012, iConference '12.

[9]  A. Adams,et al.  A qualititative approach to HCI research , 2008 .

[10]  Pablo Rodriguez,et al.  I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system , 2007, IMC '07.

[11]  Paul Dourish,et al.  Implications for design , 2006, CHI.

[12]  Eric Gilbert,et al.  Predicting tie strength in a new medium , 2012, CSCW.

[13]  M. Patton Qualitative research and evaluation methods , 1980 .

[14]  Mary Czerwinski,et al.  Interactions with big data analytics , 2012, INTR.

[15]  Marc A. Smith,et al.  A Conceptual and Operational Definition of 'Social Role' in Online Community , 2009, 2009 42nd Hawaii International Conference on System Sciences.

[16]  Louise Barkhuus,et al.  From Mice to Men - 24 Years of Evaluation in CHI , 2007, CHI 2007.

[17]  A. Strauss Basics Of Qualitative Research , 1992 .

[18]  Jennifer Golbeck,et al.  Weaving a Web of Trust , 2008, Science.

[19]  D. Boyd,et al.  Six Provocations for Big Data , 2011 .

[20]  N. Baym Tune In, Log On: Soaps, Fandom, and Online Community , 1999 .

[21]  David A. Shamma,et al.  Tweet the debates: understanding community annotation of uncollected sources , 2009, WSM@MM.

[22]  Suzanne D. Pawlowski,et al.  Supporting shared information systems: boundary objects, communities, and brokering , 2000, ICIS.

[23]  David L. Altheide Ethnographic Content Analysis , 1987 .

[24]  Donald W. Dorr-Bremme Ethnographic Evaluation: A Theory and Method , 1985 .

[25]  Angela Cora Garcia,et al.  Ethnographic Approaches to the Internet and Computer-Mediated Communication , 2009 .

[26]  John C. Paolillo Structure and Network in the YouTube Core , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).