Lv99_BixNood
fascel
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- Nov 19, 2017
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Link: https://www.psypost.org/2021/03/fac...-political-orientation-with-72-accuracy-59888
Personality copers btfo
The average conservative:
vs the average liberal
Phrenology was right after all:
Facial features = personality
Kosinski’s study applied a facial recognition algorithm to 1,085,795 faces obtain from online social media profiles. Of this dataset, 977,777 came from dating website users in the U.S., UK, and Canada who had self-reported their political orientation. The other 108,018 faces were from Facebook users in the U.S. who also self-reported their political orientation and additionally completed a 100-item personality test.
The algorithm compared each participant’s facial features to the average facial features of liberals and conservatives. The technology used these similarity measurements to determine the likelihood that a participant was either a conservative or a liberal.
The results showed that the algorithm was able to predict political orientation alarmingly well and with similar accuracy across countries and social media platforms. Among U.S. Facebook users, this accuracy hit 73%. Among U.S. dating website users, accuracy was 72%. Among dating website users in the UK and Canada, accuracy reached 70% and 71%, respectively.
Moreover, the facial recognition technology predicted political orientation better than the personality tests completed by the Facebook users. “Combined, five personality factors predicted political orientation with 66% accuracy—significantly less than what was achieved by the face-based classifier in the same sample (73%),” Kosinski reports. “In other words, a single facial image reveals more about a person’s political orientation than their responses to a fairly long personality questionnaire, including many items ostensibly related to political orientation (e.g., “I treat all people equally” or “I believe that too much tax money goes to support artists”).”
Personality copers btfo
Finally, the researcher explored whether certain facial features were tied to political orientation, including facial expression, eyewear, facial hair, and head pose. Kosinski found that head orientation showed 58% predictive power, with Liberals being more likely to face the camera directly. Emotional expression had 57% predictive power, with Liberals being more likely to show surprise and less likely to show disgust.
The average conservative:
vs the average liberal
Kosinski says that his findings likely underestimate the intelligence of such technology, saying that a higher accuracy would likely be revealed with higher resolution images, multiple images per person, or an algorithm specifically built for identifying political orientation. “Even modestly accurate predictions can have tremendous impact when applied to large populations in high stakes contexts, such as elections,” the author cautions. “For example, even a crude estimate of an audience’s psychological traits can drastically boost the efficiency of mass persuasion. We hope that scholars, policymakers, engineers, and citizens will take notice.”
Phrenology was right after all:
Facial features = personality
