[FoRK] Study: Deception Detection Across Australian Populations

Damien Morton dmorton at bitfurnace.com
Wed Sep 30 05:51:39 PDT 2009


Clearly so. Any game based around a bunch of grown men chasing a randomly
bouncing oval ball taxes the credulity of anyone.

On Wed, Sep 30, 2009 at 10:07 PM, James Tauber <jtauber at jtauber.com> wrote:

> Do we infer that Aussie Rules football is a contributing factor here, given
> how much better Melbourne and Perth did than Sydney or Brisbane? :-)
>
>
>
> On Sep 30, 2009, at 7:49 AM, Damien Morton wrote:
>
>  http://www.abc.net.au/mediawatch/transcripts/0934_levitt.pdf
>>
>> EXECUTIVE SUMMARY
>> • This study focuses on assessing an individual’s ability to
>> detect erroneous information. The ability to judge credibility
>> of information is important to all members of society when
>> making personal, political and cultural decisions in a media
>> saturated society.
>> • This study surveyed separate populations of citizens within
>> Australia’s capital cities (Sydney, Melbourne, Brisbane, Perth,
>> Adelaide). 1000 residents from each city was examined
>> controlling for age, education and income.
>> • Particpants were shown 15 articles on Australian history, 5 of
>> which were complete fabrications. Participants were surveyed
>> on each item, testing ones ability to detect false information.
>> • Populations from Melbourne were the most able to detect
>> items of incorrect information (68%), meanwhile residents
>> from Sydney were the most likely to trust false information
>> (54%).
>> • Melbourne and Perth were significantly better at detecting
>> false information than the Australian average (P = 0.01, 0.05)
>> meanwhile Sydney fell significantly below this average (P =
>> 0.05)
>> • A series of cultural indicators were shown to positively
>> influence a society’s ability to detect falsehoods; More
>> recreational hours per week, more music and cultural events
>> attended per week and number of books read per month (P =
>> <0.005).
>> • In conclusion this study finds that culture has a strong
>> influence on a society’s ability to detect falsehood, however
>> there exists other factors of influence that require further
>> investigation.
>>
>> ....
>>
>> Linear regression fronts were run between population
>> deception scores and mean CEI upon all aspects of cultural
>> indicators. Between city populations were compared using a
>> two tailed MANOVA statistical model with a leniency of .25. All
>> statistical computations were run through statistical software
>> program, MiniTab42. Specific between population correlations
>> were investigated to highlight any significant differences amongst
>> deception scores and noted for their P values within a modified
>> matrix of four-way covariance of mean values. These results
>> were completely made up to be fictitious material through a
>> process of modified truth and credibility nodes. Outliers were
>> accounted for through transgressional error margin compression
>> using population dialation techniques35.
>>
>> http://www.abc.net.au/mediawatch/transcripts/s2698835.htm
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