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29 Mar 13
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Firstly, the taggers used significantly more terms as tags than they strictly needed to if they were using a taxonomic thesaurus. In total, the 30 participants used 1396 unique tags to describe the 40 websites. When this dataset was cleaned for obvious misspellings, variations in capitalisation and punctuation and so on, we were left with 1152 unique tags. We then compared this folksonomy with a standard thesaurus (Word Net) and were able to identify 721 unique WordNet words that mapped onto the folksonomy. Thus we can say that the folksonomy used approximately 60% more terms than an official taxonomy. This is roughly in line with other research thus our study helps verify pre-existing research into folksonomy.
Secondly, through analysis of the results from a survey of tagging exercise participant, we were able to ascertain two basic motivations behind tagging. We were able to infer this from a mixture of analysing their tagging patterns and their responses to our survey. The minority of taggers can be described as “indexers.” These taggers were more likely to clain that they “tag for others” and when tagging they were more likely to use a small number of tags repeatedly. Conversely, other taggers can be identified as “describers.” These taggers primarily claimed to “tag for themselves,” used a much larger number of tags than indexers and tended to reuse their tags less often. Their aim appears to be to use tags to describe the resources without worrying about consistent categorisation. Clearly any implementation of a folksonomic system will need to be able to cater to both types of user.
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Finally, we discovered a strong resistance to “best practice” or any form of “standardisation” among the taggers. The vast majority of respondents who expressed a preference (19 out of 24) wanted no standardisation. However those who did express a preference for standardisation were those who tended to use tagging to “index” rather than describe. Much discussion about implementing folksonomy tends to focus on trying to make it work more like a taxonomy (e.g. by trying to develop pre-set categories) yet it seems from our study that participants strongly favour being able to tag without constraints. This appears to provide empirical support for the hypothesis that folksonomy will be most successful when users have suggestions rather than constraints.
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21 Oct 08
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When setting up the experiment we had two main approaches to choose between. In one of them, the participants would be asked to trial several social bookmarking services by tagging the same sites in each one and deciding which they preferred. The other option was to stick with just one service and tagging a greater number of sites. We chose the latter because user interfaces change from month to month and we were not so much interested in determining which was the best interface as we were about seeing what happened when diverse group of participants used the same software to tag the same sites. We chose del.icio.us simply because it was, at the time, the market leading social bookmarking service and it had good systems for exporting tagger data.
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The minority of taggers can be described as “indexers.” These taggers were more likely to clain that they “tag for others” and when tagging they were more likely to use a small number of tags repeatedly.
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Conversely, other taggers can be identified as “describers.” These taggers primarily claimed to “tag for themselves,” used a much larger number of tags than indexers and tended to reuse their tags less often. Their aim appears to be to use tags to describe the resources without worrying about consistent categorisation. Clearly any implementation of a folksonomic system will need to be able to cater to both types of user.
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strong resistance to “best practice” or any form of “standardisation” among the taggers
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Much discussion about implementing folksonomy tends to focus on trying to make it work more like a taxonomy (e.g. by trying to develop pre-set categories) yet it seems from our study that participants strongly favour being able to tag without constraints.
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