[FoRK] Study: Deception Detection Across Australian Populations

Damien Morton dmorton at bitfurnace.com
Wed Sep 30 04:49:34 PDT 2009


• 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
• 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 =
• 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 =
• 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


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.


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