Captchas are becoming ridiculous
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In his post, Andrew Munsell says: “”A couple of years ago, I don’t recall being genuinely confused by a captcha,” says “Captchas Are Becoming Ridiculous.” reCAPTCHA was, in reality, one of the best systems I’d seen. It wasn’t difficult to figure out, and it seemed to function on my own websites.” (#32) [untrustworthy source?] Munsell goes on to say that after seeing a series of incomprehensible images, after refreshing the page, “Always, always, always, always, always, always, always, always, always, always, always, always The captchas were not only difficult to read for a robot, but also impossible to read for a person.” Munsell then went on to provide a number of examples.
CAPTCHAs irritate me because they are simple and easy one minute and then don’t remember my feedback the next. I understand that they are important to deter bots (which they often fail to do), but they are annoying at times.
Andrew Munsell has a hilarious story about attempting to fill out a captcha: those squiggly word-things on signup pages. They’ve become more difficult to solve as machines have become better at being more human when it comes to solving these puzzles, as Munsell points out.
The thing is (at the risk of sounding like a broken record), if you charge every user for a sign up, captchas aren’t a problem. And you get paid even though a SPAM bot signs up, and that’s not a viable model for spammers.
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According to Polakis, machine learning is now nearly as strong as humans at simple text, image, and voice recognition tasks. In reality, algorithms are actually better at it: “We’ve reached a point where making it more difficult for machines makes it too difficult for many people.” We need an alternative, but there is no clear plan in place at this time.”
The CAPTCHA literature is riddled with false starts and bizarre attempts to find something other than text or image recognition that humans excel at but machines struggle with. Researchers asked users to categorize photos of people based on their facial expressions, gender, and ethnicity. (I’m sure you can guess how well that went.) There have been suggestions for CAPTCHAs based on trivia and CAPTCHAs based on nursery rhymes common in the region where a user claims to have grown up. Such cultural CAPTCHAs are targeted not just at bots, but also at humans employed in CAPTCHA farms in other countries, solving puzzles for pennies on the dollar. People have attempted to stifle image recognition by asking users to recognize pigs, for example, by turning the pigs into cartoons and offering them sunglasses. Users were asked to classify items in Magic Eye-like blotches by researchers. Researchers suggested using CAPTCHAs to catalog ancient petroglyphs in 2010, citing the challenge of computers deciphering gestural drawings of reindeer scrawled on cave walls.
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CAPTCHA seems to be largely ineffective at deterring spammers, given the hundreds of online services that solve them for a dollar per thousand.
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In my own experiments, I’ve discovered that implementing reCAPTCHA during the registration process results in a large increase in people abandoning their registration when they fail to recognize the text the first time, while having no effect on spammer registration. I’ve noticed that randomizing form field names (rather than using names like ‘username’ and ‘password’) forces the spammer to scrape the web to find out which fields he needs to send with each and every account he registers, quietly dumping registrations that don’t use the correct field names, and applying different heuristics to active registrations has been much more efficient. For example, one spammer seemed to always use the same user agent string and never triggered any of the page’s AJAX calls. It was easy to spot registrations from that one spammer and silently dump new accounts when he made them.