input: Text: Face value When the BBC broadcast the recent documentary by Louis Theroux that looked back at the time he spent in the company of Jimmy Savile, there was disbelief across social media that no one had stepped in to stop Savile from committing his crimes. Some blamed the BBC, some blamed those in Savile's immediate circle, but others blamed a simple error of human judgment. "He literally couldn't look more like a paedophile," read one post – one of many to state a supposedly incontrovertible truth: that Savile's criminal tendencies could have been detected from the shape of his features, his eyes, his hair. Moreover, this has nothing to do with the benefit of hindsight and should have been picked up at the time. His looks, they suggested, were a moral indicator, with a wealth of compelling visual evidence to support the claim. We know that paedophiles, murderers and other violent criminals come in many shapes and sizes. If we knew nothing about their criminal history, some of their photos might even appear attractive. But the idea that someone's features betray their character is something rooted deep within us; it's the reason why certain photos perform well on dating apps, or why trustworthy-looking politicians might rack up votes. But how wrong are our hunches of perceived criminality? A recent paper, published by Xiaolin Wu and Xi Zhang of Shanghai's Jiao Tong University, claims to be the first to use machine learning and neural networks to attempt a fully automated inference of criminality from facial images, removing prejudice from the equation and testing the validity of our gut feelings. "What facial features influence the average Joe's
  Question: Which would the author think is most true?
  
   (A) We post pictures of ourselves online that we think are attractive to gain approval from specific people whose eyes we want to catch
   (B) Regular people can use their social media accounts to help locate bad people before crimes are committed, because people are better at this than computers
   (C) People know their photos are being judged by others when they post them so they critically judge them themselves first
   (D) The application of machine learning in the study of social media photos could make it easier to find criminals before they commit cimes
  Answer:
output: People know their photos are being judged by others when they post them so they critically judge them themselves first