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Digital anthropology is the anthropological study of the relationship between humans and digital-era technology. The field is new, and thus has a variety of names with a variety of emphases. These include techno-anthropology, [1] digital ethnography, cyberanthropology, [2] and virtual anthropology. [3]
Online ethnography (also known as virtual ethnography or digital ethnography) is an online research method that adapts ethnographic methods to the study of the communities and cultures created through computer-mediated social interaction. As modifications of the term ethnography, cyber-ethnography, online ethnography and virtual ethnography (as ...
Netnography uses these conversations as data. It is an interpretive research method that adapts the traditional, in-person participant observation techniques of anthropology to the study of interactions and experiences manifesting through digital communications (Kozinets 1998).
Multimodal anthropology is an emerging subfield of social cultural anthropology that encompasses anthropological research and knowledge production across multiple traditional and new media platforms and practices including film, video, photography, theatre, design, podcast, mobile apps, interactive games, web-based social networking, immersive 360 video and augmented reality.
Enid Gabriella Coleman (usually known as Gabriella Coleman or Biella; born 1973) is an anthropologist, academic and author whose work focuses on politics, cultures of hacking and online activism, and has covered distinct hacker communities, such as hackers of free and open-source software, Anonymous and security hackers.
Daniel Miller (born 24 March 1954) is an anthropologist who is closely associated with studies of human relationships to things, the consequences of consumption and digital anthropology. His theoretical work was first developed in Material Culture and Mass Consumption and is summarised more recently in his book Stuff .
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Social data scientists use both digitized data [22] (e.g. old books that have been digitized) and natively digital data (e.g. social media posts). [23] Since such data often take the form of found data that were originally produced for other purposes (commercial, governance, etc.) than research, data scraping, cleaning and other forms of preprocessing and data mining occupy a substantial part ...