Dear allstat
[apologies for cross posting]
does anybody have examples of subliminal metadata, query handlers or algorithms in place that show a disrupting relevance pattern, or a defamatory intent, or the promotion of non pertinent or inappropriate contents and other vilifying or frustating results within search engines of specific databases or repositories? Also positive examples are ok - for instance in relation to rewards or other behavioural tricks offered to browse some contents that in any case distract the user from the original search scope.
I am looking for examples related to public contents preferably, so that they can be used for training and educational purposes without infringing Data Protection principles and other laws. Examples related to relevance rankings of specific datasets from resources in various disciplines would be also brilliant.
An example I have found on HMRC can clarify what I mean with the expression "disrupting relevance pattern". Simply searching the word 'Preston' (that is the office that deals with tax credits matters) returns a list of docs and pfd files (this is the first unusual thing the familiar user notices because all the main contents of HMRC website, technical pages from manuals etc etc, are always plain files in HTML). Such docs are hardly relevant and they have titles like "locals working together", "amateur sports clubs", "phishing examples" (screenshot at http://www.brunellalongo.co.uk/pics/preston.png and also http://www.brunellalongo.co.uk/pics/preston.PNG) whereas the user would expect to find contact details, guidance documents, procedures, forms and so on.
I can summarize the replies for the list.
Regards
Brunella Longo
Information Management Adviser
Open Data Assurance
http://www.brunellalongo.co.uk
:::
Telephone +44(0)7549921488
email: [log in to unmask]
:::
PO BOX 53880
London SE27 7BU
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|