Robert Kozinets NEW QRSI Scholar
July 31-August 1
Netnography is an evolving method designed to gain cultural understanding through the systematic, immersive, and multimodal use of digital traces, elicitations, and observations. It is a unique adaptation of existing ethnographic procedures to gain this understanding from digital environments such as social media, online communities, ephemeral online spaces, and virtual reality. Established over 25 years ago, development of the approach has been crowdsourced to the global academic community and is continuously updated to reflect new cultural and technological realities. Unlike digital ethnography or online ethnography, general terms whose procedures tend to be unspecified, netnography is a concrete set of research practices that has been honed over decades. It now provides a clear and flexible yet structured approach to key practices such as research design, use of technology tools, data collection, and research ethics.
During the course, the method’s inventor, Dr. Kozinets, will provide participants with a deeper understanding of netnography and how it works that includes exactly how and why it adapts ethnographic methods, and what distinguishes it from other approaches. Participants will then be guided through the six movements of the netnography process and important topics relating to the process will be presented and discussed.
Over the course of the two days, we will cover topics that include:
1. Netnography Fundamentals
2. Ethnographic Aspects in Netnography
3. Challenges and Advanced Techniques
4. Expanding Boundaries
5. Data Analysis and Presentation
6. Dissemination and Impact
The course will provide participants interested in netnography with the latest frameworks and thinking about netnography and the digital cultural research techniques it encompasses. With clear, coherent guidelines for the use of new Generative AI tools like ChatGPT and Midjourney, the workshop will empower researchers to either utilize, or better utilize, netnography and its various operations in their own research.
The course draws on material from: