- Weather
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Max |
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40°C |
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Min |
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30°C |
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Sunrise |
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05 : 30 AM |
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Sunset |
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06 : 30 PM |
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Humidity |
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50 to 80 per cent |
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- Prayer Time
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Fajar |
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03:58 am |
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Dhuhr |
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12:09 pm |
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Asar |
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03:30 pm |
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Magrib |
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06:50 pm |
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Isha |
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08:09 pm |
- Oil Price
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- Gold Price
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Price in RO
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24ct / gm |
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16.97 |
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22ct / gm |
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16.60 |
- Currency Rates
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Forex Rates vs R01
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US Dollar |
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2.60 |
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Euro |
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2.01 |
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Pound |
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1.71 |
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Indian Rs. |
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143.92 |
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Pak Rs. |
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255.82 |
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Bangla Taka |
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201.38 |
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Illustrative purpose only
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Enjoy curly fries, thunderstorms and Morgan Freeman's voice? Chances are you're highly intelligent. But if Tyler Perry, Harley Davidsons and the American country group Lady Antebellum are your thing, you may not be the sharpest tool in the box. These are just some of the conclusions of a new study by Cambridge psychologists into what can be deduced about a person by analysing their Facebook 'likes'.
Researchers used a complex algorithm to find it was possible to accurately predict what a person is like in real life — including sexual orientation, religion, political views, intelligence, and even drug use — based on what might otherwise appear to be
innocuous preferences. The academics warned that similar tools could be used by repressive regimes to predict the political beliefs or orientation — even of those who avoid making obvious statements online. Michael Kosinski, a computational psychologist at the University of Cambridge's Psychometrics Centre, says that similar techniques were used by companies to tailor advertising or services to consumers.
But he said online behaviour could also be used to accurately predict deeply personal details. "On one hand I want to share as much data as possible with online services," he said. "I want an online book store, for example, to know about my book tastes so I get better recommendations the next time I log on. But on the other hand by revealing the kind of books I'm reading I'm also allowing different companies or institutions to predict quite accurately other traits I might not want to share."
Scientists studied 58,000 predominantly American Facebook users who have signed up to a free online psychology test in return for the anonymous use of their data. That allowed psychologists to build a computer program that could start trawling through public posts and predict what sort of person someone is like in real life. The programme was able to determine race with 95 per cent accuracy.
Individual traits and attributes can be predicted to a high degree of accuracy based on records of users' Likes. For example, the best predictors of high intelligence include Thunderstorms, The Colbert Report, Science, and Curly Fries, whereas low intelligence was indicated by Sephora, I Love Being A Mom and Harley Davidson. Research also showed the average levels of personality traits and age for several popular 'Likes.'
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