Evolving netnography: how brand auto-netnography, a netnographic sensibility, and more-than-human netnography can transform your research

The basis of netnography is rather simple. It is grounded by the principle that the perspective of an embodied, temporally, historically and culturally situated human being with anthropological training is, for purposes relating to identity, language, ritual, imagery, symbolism, subculture and many other elements that require cultural understanding, a far better analyst of people’s contemporary online experience than a disembodied algorithm programmed by statistics and marketing research scientists.1 1. Of course, computer scientists are having their day, currentl And there is no doubt that there are many macro behaviours and precise measurements which are handled far better using statistical methods operating on large decontextualised data sets than they are by human participant-observers. But that really is not the point of netnography, of this paragraph or of this special section. View all notes The fundamental positioning of netnography as a research method, its marketing-oriented point of difference, relevant to digital humanities artists, library and information scientists, sociologists, cultural anthropologists, marketing practitioners and consumer researchers alike, is also rather clear. It is that the knowledge we gain from machine understanding of human experience is often sorely limited, and the ethics of the investigatory situation fraught, no matter how large the data set, how cleverly programmed the machine learning algorithms or how extensive the public surveillance.