"Every Home Is Wired": 3 -- The Progressive Rock Community on the Net

"Every Home Is Wired":
3 -- The Progressive Rock Community on the Net

Content analysis would thus need to verify the sender addresses of posts, as well actual topics. This is not impossible: both could be done by computer, but again, the automation of such an analysis would run into trouble. For instance, even if done simply by counting mentions of various Prog bands, every use of the word 'yes' would register as a reference to the eponymous group. Furthermore, many posters are in the habit of mentioning the music they were listening to while writing a message in a 'now playing' line: even completely unrelated posts may thus show up as being about a certain band. Also, some posts are sent to a variety of newsgroups at the same time, as 'crossposts': the amount of posts appearing in a newsgroup is thus no direct measurement of its liveliness -- a large number of its posts may be originating from elsewhere, with little contribution from the newsgroup's regulars themselves. This is especially true for 'miscellaneous' groups like rec.music.misc.	Bit 4
Due to the high traffic of groups like rec.music.progressive, then, a content analysis would only make sense if posts were coded using a well-trained team of researchers, or highly evolved artificial intelligence approaches, and is thus outside the scope of this paper. Therefore, the approach chosen here is a more qualitative one, based on a long-term acquaintance with the Prog subculture and its online community. This is in keeping with the experiences gained from early research into CMC, which in today's view show that only longer-term involvement of researchers allows them to pick up the cues and codes developed by CMC participants. This type of CMC study is similar to anthropological field research, which also requires a long-term immersion in the studied culture (this similarity is hardly surprising, since both fields are centrally concerned with the study of communities).	Bit 5

Content analysis would thus need to verify the sender addresses of posts, as well actual topics. This is not impossible: both could be done by computer, but again, the automation of such an analysis would run into trouble. For instance, even if done simply by counting mentions of various Prog bands, every use of the word 'yes' would register as a reference to the eponymous group. Furthermore, many posters are in the habit of mentioning the music they were listening to while writing a message in a 'now playing' line: even completely unrelated posts may thus show up as being about a certain band. Also, some posts are sent to a variety of newsgroups at the same time, as 'crossposts': the amount of posts appearing in a newsgroup is thus no direct measurement of its liveliness -- a large number of its posts may be originating from elsewhere, with little contribution from the newsgroup's regulars themselves. This is especially true for 'miscellaneous' groups like rec.music.misc.

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Due to the high traffic of groups like rec.music.progressive, then, a content analysis would only make sense if posts were coded using a well-trained team of researchers, or highly evolved artificial intelligence approaches, and is thus outside the scope of this paper. Therefore, the approach chosen here is a more qualitative one, based on a long-term acquaintance with the Prog subculture and its online community. This is in keeping with the experiences gained from early research into CMC, which in today's view show that only longer-term involvement of researchers allows them to pick up the cues and codes developed by CMC participants. This type of CMC study is similar to anthropological field research, which also requires a long-term immersion in the studied culture (this similarity is hardly surprising, since both fields are centrally concerned with the study of communities).

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Section 3 -- Go on to Bite:

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