Monday, February 1, 2010

Crap Detection 101, Isaac Kaplyuk.


What CRAP?

C-Currency; The information written herein Rheingold's article, 'Crap Detection 101', is semi-recent...it was published June 30th, 2009. The site itself is a current site, as it is the San Francisco Chronicle site, and journalistic sites like this must be maintained and updated daily. This entry is current to our topic, as the sites that Rheingold mentions in his report are all still relevant sites within the information realm, such as Twitter, Del.icio.ous, Youtube, and other modern web tools such as RSS feeds.

R-Reliability; The kind of information within this report is in itself about the reliability of other reports, or other bits of information that can be found on the web. This report isn't so much opinion as it is empirical and theoretical knowledge gathered over time, and with personal experience. Is the article balanced? Not really, because the article isn't really an opinion, it's pretty much a crash-course in spam detection, and tips and tricks that the savvy internet user can have at their disposal to avoid being mislead by untrustworthy information, and to better complete research without obtaining faulty information.

A-Authority; The creator of this text is a Howard Rheingold, who is pictured above and to the left. Rheingold is a published writer, artist and the creator of two ground-breaking web communities, Hot Wired and Electric Minds, and he also published his Crap Detection 101 on the San Francisco Chronicle, which adds to the article's credibility. These accomplishments make Rheingold a reputable source, and his interest/aim within this document is to alert people of the perils of info-searching on the web, and how to most efficiently go about doing this task. Although there are advertisements on the page, they are not of the author's doing, and are only as common as you'd expect would be on a news site.

P-Purpose/Point-of-View; The article isn't so much an opinion, but it is rather an article based on experience, which could only lead one to beleive that the statements and thoughts expressed within the article are stemmed from fact. The article is obviously biased, but biased towards people being aware of their actions on the web, and to aid in avoiding being duped on the internet, and to avoid being taken on information-wild-goose chases. The only thing that the author is trying to 'sell' here is information to help the average inter-web user to be more web-aware, and to help avoid useless or misleading information on the web.

Note: Image from oclg.org

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