Search (4 results, page 1 of 1)

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Abstract

Examines the searching behaviour of Guardian journalists searching FT PROFILE online system. Using transactional log analysis compares the searching styles of journalists with those of Guardian librarians. In some respects end users conform to the picture that professionals have of them - they search with a very limited range of commands - but in other respects they confound that image - they are very quick and economical searchers. Their behaviour relates to their general information seeking behaviour, and their searching styles would be seen in this regard

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Abstract

Collating data from a number of log and questionnaire studies conducted largely into the use of a range of consumer health digital information platforms, Centre for Information Behaviour and the Evaluation of Research (Ciber) researchers describe some new thoughts on characterising (and naming) information seeking behaviour in the digital environment, and in so doing, suggest a new typology of digital users. The characteristic behaviour found is one of bouncing in which users seldom penetrate a site to any depth, tend to visit a number of sites for any given information need and seldom return to sites they once visited. They tend to "feed" for information horizontally, and whether they search a site of not depends heavily on "digital visibility", which in turn creates all the conditions for "bouncing". The question whether this type of information seeking represents a form of "dumbing down or up", and what it all means for publishers, librarians and information providers, who might be working on other, possible outdated usage paradigms, is discussed.

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Abstract

The study set out to determine: (1) what were the searching characteristics of end-users in a non-academic environment and explain this in the light of their information needs; (2) whether these characteristics were those that were ascribed to end users in the professional literature; (3) whether they differed materially from those of information professionals working in the same fields. Searching characteristics were interpreted in their widest sense to include: command utilisation/knowledge; search success a satisfaction; volume of searching; searching style / approach; duration of searches; file selection; willingness to delegate and levels of training. These issues were explored in relation to 2 practitioner groups - journalists from he Guardian newspaper, and politicians from The House of Commons. Comparative data were also sought from information professionals in these 2 organisations. A mixture of social and statistical methods was used to monitor end-user and professional searching, though transactional log analysis was strongly featured. Altogether the searching behaviour of 170 end users was evaluated in the light of the searching behaviour of 70 librarians. The principal findings were that: in some respects end users did conform to the picture that information professionals have of them: they did seartch with a limited range of commands; more of their searches produced no results, and search statements were simplly constructed. But in other respects they confounded their image - they could be very quick and economical searchers, and they did not display meters of print-out. However, there were variations between individual end users, and it was often possible to find an end-user group that matched an information professional group on one aspect of online searching or another. The online behaviour of end users was very much related to their general information seeking behaviour; and to the fact that they were not trained

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Abstract

The article employs deep log analysis (DLA) techniques, a more sophisticated form of transaction log analysis, to demonstrate what usage data can disclose about information seeking behaviour of virtual scholars - academics, and researchers. DLA works with the raw server log data, not the processed, pre-defined and selective data provided by journal publishers. It can generate types of analysis that are not generally available via proprietary web logging software because the software filters out relevant data and makes unhelpful assumptions about the meaning of the data. DLA also enables usage data to be associated with search/navigational and/or user demographic data, hence the name 'deep'. In this connection the usage of two digital journal libraries, those of EmeraldInsight, and Blackwell Synergy are investigated. The information seeking behaviour of nearly three million users is analyzed in respect to the extent to which they penetrate the site, the number of visits made, as well as the type of items and content they view. The users are broken down by occupation, place of work, type of subscriber ("Big Deal", non-subscriber, etc.), geographical location, type of university (old and new), referrer link used, and number of items viewed in a session.