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Joanne S

Academic Search Engine Spam and Google Scholar's Resilience Against it - 0 views

  • Web-based academic search engines such as CiteSeer(X), Google Scholar, Microsoft Academic Search and SciPlore have introduced a new era of search for academic articles.
  • With classic digital libraries, researchers have no influence on getting their articles indexed. They either have published in a publication indexed by a digital library, and then their article is available in that digital library, or they have not
  • citation counts obtained from Google Scholar are sometimes used to evaluate the impact of articles and their authors.
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  • ‘Academic Search Engine Optimization’ (ASEO)
  • Citation counts are commonly used to evaluate the impact and performance of researchers and their articles.
  • Nowadays, citation counts from Web-based academic search engines are also used for impact evaluations.
  • Most academic search engines offer features such as showing articles cited by an article, or showing related articles to a given article. Citation spam could bring more articles from manipulating researchers onto more of these lists.
  • It is apparent that a citation from a PowerPoint presentation or thesis proposal has less value than a citation in a peer reviewed academic article. However, Google does not distinguish on its website between these different origins of citations[8].
  • Google Scholar indexes Wikipedia articles when the article is available as PDF on a third party website.
  • That means, again, that not all citations on Google Scholar are what we call ‘full-value’ citations.
  • As long as Google Scholar applies only very rudimentary or no mechanisms to detect and prevent spam, citation counts should be used with care to evaluate articles’ and researchers’ impact.
  • However, Google Scholar is a Web-based academic search engine and as with all Web-based search engines, the linked content should not be trusted blindly.
Joanne S

Social Metadata for Libraries, Archives, and Museums - 0 views

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    Smith-Yoshimura, K., & Shein, C. (2011). User contributions sought by LAMs. Social Metadata for Libraries, Archives and Museums Part 1: Site Reviews (pp. 13-36). Dublin  Ohio: OCLC. Retrieved from http://www.oclc.org/research/publications/library/2011/2011-02r.htm Skim-read this to ensure that you understand the definitions of the seven different ways that libraries, archives and museums are using social metadata. Read more of this report if you are interested:
Joanne S

The rise of e-reading | Pew Internet Libraries - 0 views

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    Rainie, L., Zickuhr, K., Purcell, K., Madden, M., & Brenner, J. (2012). The rise of e-reading. Washington, DC: Pew Research Center's Internet & American Life Project. Retrieved from http://libraries.pewinternet.org/2012/04/04/the-rise-of-e-reading/ (Read just the summary at the start or browse the whole report
Joanne S

"Likes" are lovely, but do they lead to more logins? - 0 views

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    Evaluating library use of social media Glazer, H. (2012). "Likes" are lovely, but do they lead to more logins? College & Research Libraries News, 73(1), 18-21. Retrieved from http://crln.acrl.org/content/73/1/18.long
Michelle Pitman

Quantum Computing - 0 views

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    Given the news that Australian researchers have developed a "qubit" - the building block for the future of Quantum computing (expected in about 10-15 years), this article may have some relevance for Library and Info Tech Managers.  
Joanne S

safer internet group - 5 Point Plan - 0 views

  • The Safer Internet Group brings together a diverse group of stakeholders who all share the goal of developing the Internet as a platform for education, communication and economic activity.
  • Australia needs to take effective action to ensure that Internet users, and particularly children, have a safe experience online, while ensuring that the benefits of the open Internet are available to all Australians.
  • We believe our way is comprehensive and practical. More importantly, we know it works. It delivers:
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  • . More Effective Education
  • Comprehensive Policing of Illegal material on the Internet
  • User Tools that work
  • A new dialogue about Internet safety
  • Targeted Research of Internet Risks and Opportunities for Young People
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    Safer Internet Group (2009) 5 Point Plan. Retrieved from http://www.saferinternetgroup.org/5pointplan.html (The Australian Library and Information Association is one of the members of the Safer Internet Group)
Joanne S

Eli Pariser: Beware online "filter bubbles" | Video on TED.com - 0 views

    • Joanne S
       
      Mark Zuckerberg, a journalist was asking him a question about the news feed. And the journalist was asking him, "Why is this so important?" And Zuckerberg said, "A squirrel dying in your front yard may be more relevant to your interests right now than people dying in Africa." And I want to talk about what a Web based on that idea of relevance might look like. So when I was growing up in a really rural area in Maine, the Internet meant something very different to me. It meant a connection to the world. It meant something that would connect us all together. And I was sure that it was going to be great for democracy and for our society. But there's this shift in how information is flowing online, and it's invisible. And if we don't pay attention to it, it could be a real problem. So I first noticed this in a place I spend a lot of time -- my Facebook page. I'm progressive, politically -- big surprise -- but I've always gone out of my way to meet conservatives. I like hearing what they're thinking about; I like seeing what they link to; I like learning a thing or two. And so I was surprised when I noticed one day that the conservatives had disappeared from my Facebook feed. And what it turned out was going on was that Facebook was looking at which links I clicked on, and it was noticing that, actually, I was clicking more on my liberal friends' links than on my conservative friends' links. And without consulting me about it, it had edited them out. They disappeared. So Facebook isn't the only place that's doing this kind of invisible, algorithmic editing of the Web. Google's doing it too. If I search for something, and you search for something, even right now at the very same time, we may get very different search results. Even if you're logged out, one engineer told me, there are 57 signals that Google looks at -- everything from what kind of computer you're on to what kind of browser you're using to where you're located -- that it uses to personally tailor you
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