Search terms (a case study: article on automation and staffing)

I always find it interesting to see what search terms people use to find what they are looking for (or not looking for). On that note, I thought I would share a quick behind the scenes of keyword searching for my article, The Effect of Automation on Academic Library Staffing: A Discussion . There is no abstract or keywords attached to this title, so the results are truly from within the fulltext searching. These stats are generated through the Bpress statistics tool.

The paper was  originally presented at COMO in Sept 2012; published as part of GL Quarterly in the Spring issue (April 2012). There have been 79 downloads of the article. Many of downloads were generated from direct links, such as via social media tools,   via the journal issue table of contents, emails, or other direct links.  

I've loosely grouped the searches together in terms of overall theme.

• Search queries include:
• on staffing:
• library staffing unit
• responsibility of cataloging unit in academic library
• the duties of automated staff in academic library (hmm... we are robots?)
• change (impact) in nature of work:
• the effect of automation on production  
• academic libraries maintaining shelf list cards why 
• library cataloging department academic making changes
• outsourcing cataloging in libraries 2012
• on academic libraries (general):
• recommendation given in an automated academic libraries
• academic library white paper or position paper
• URLS: 
• My library's URL (that's interesting - I guess they wanted to see what had been published from library staff and faculty from my library) 
• the paper URL  (did not download the paper)

Peekyou, search across the web, social media & more

peerindex (a reputation management/metrics site) has launched a new search engine called peekyou (http://www.peekyou.com).

It searches across facebook, linkedin, twitter, friendster, myspace, several people search engines (intellius, spokeo, etc.) and even wikipedia. Results include email addresses, phone numbers, documents, web sites, and public records (although some of those results are offered through paid services like through peoplesearch or spokeo).

An interesting idea even though search filtering is rather limited.

For those of you interested in privacy, according to the website:
PeekYou will:
1. Index only public web content
2. Always respect the user privacy preferences of social networks
3. Allow individuals to opt-out from its service simply and easily

PeekYou will not:
1. Purchase app/developer data from social platforms
2. Index an individual's medical or financial information
3. Knowingly work with any individual or business that violates these rules

Google datasharing and what do about it

Institute of Disruptive Studies... love it... (sorry, I was having a monty python moment...)

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The project, called GoogleSharing, is a Firefox add-on that uses an anonymous proxy service that gives Google false information when someone uses services that don't require an account, such as its search, news, and images services, said Moxie Marlinspike , a security consultant and penetration tester with the Institute of Disruptive Studies.

Google collects a vast amount of information about its users, said Marlinspike, who gave a presentation at last week's Black Hat conference. The company collects IP (Internet protocol) addresses, search requests, browser type and more.

More here at yahoo news

About googlesharing: http://www.googlesharing.net/

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Also, for web editors who use google analytics, you might want to read Google's data sharing informational blurbage...