People of the #fediverse, especially those creating various services, there are alternatives to HCAPTCHA when you ask people to create accounts or login. Despite HCAPTCHA's propaganda, HCAPTCHA is not truly accessible to #blind people. It requires us to give up our privacy if we choose the cookie option. The text alternative doesn't work most times. I just tried to sign up for a /kbin server at https://redit.buzz and wasted 30 mins on HCAPTCHA.
Please be #inclusive!
@bgtlover @xogium @Verso You might want to consider issues presented here when thinking about options.
Various approaches have been employed over many years to distinguish human users of web sites from robots. The traditional CAPTCHA approach asking users to identify obscured text in an image remains common, but other approaches have emerged. All interactive approaches require users to perform a task believed to be relatively easy for humans but difficult for robots. Unfortunately the very nature of the interactive task inherently excludes many people with disabilities, resulting in a denial of service to these users. Research findings also indicate that many popular CAPTCHA techniques are no longer particularly effective or secure, further complicating the challenge of providing services secured from robotic intrusion yet accessible to people with disabilities. This document examines a number of approaches that allow systems to test for human users and the extent to which these approaches adequately accommodate people with disabilities, including recent non-interactive and tokenized approaches. We have grouped these approaches by two category classifications: Stand-Alone Approaches that can be deployed on a web host without engaging the services of unrelated third parties and Multi-Party Approaches that engage the services of an unrelated third party.
@utsuho that’s strange, because FMS in Freenet actually has audio-challenges, all in FOSS and without tracking: https://freenetproject.org/pages/download.html (but decentralized, so you need to run it yourself, and it has too few users, so you cannot do with it what you want with <arbitrary thirdparty site>).
So if they wanted audio-captchas, they could just skim the FMS sourcecode.
(and I’m sure there are many others, but that’s the one I use now and then and which I found works)
@ppatel
@ArneBab @utsuho The trouble with audio alternatives is that deaf-blind users can't access those. Text alternatives are troublesome for learning disabled users. In general, CAPTCHAs are bad.
Here is a page that discusses CAPTCHA and its alternatives. It's a great resource for people thinking about this issue.
Various approaches have been employed over many years to distinguish human users of web sites from robots. The traditional CAPTCHA approach asking users to identify obscured text in an image remains common, but other approaches have emerged. All interactive approaches require users to perform a task believed to be relatively easy for humans but difficult for robots. Unfortunately the very nature of the interactive task inherently excludes many people with disabilities, resulting in a denial of service to these users. Research findings also indicate that many popular CAPTCHA techniques are no longer particularly effective or secure, further complicating the challenge of providing services secured from robotic intrusion yet accessible to people with disabilities. This document examines a number of approaches that allow systems to test for human users and the extent to which these approaches adequately accommodate people with disabilities, including recent non-interactive and tokenized approaches. We have grouped these approaches by two category classifications: Stand-Alone Approaches that can be deployed on a web host without engaging the services of unrelated third parties and Multi-Party Approaches that engage the services of an unrelated third party.
@rye Here is a page that discusses CAPTCHA and its alternatives. It's a great resource for people thinking about this issue.
Various approaches have been employed over many years to distinguish human users of web sites from robots. The traditional CAPTCHA approach asking users to identify obscured text in an image remains common, but other approaches have emerged. All interactive approaches require users to perform a task believed to be relatively easy for humans but difficult for robots. Unfortunately the very nature of the interactive task inherently excludes many people with disabilities, resulting in a denial of service to these users. Research findings also indicate that many popular CAPTCHA techniques are no longer particularly effective or secure, further complicating the challenge of providing services secured from robotic intrusion yet accessible to people with disabilities. This document examines a number of approaches that allow systems to test for human users and the extent to which these approaches adequately accommodate people with disabilities, including recent non-interactive and tokenized approaches. We have grouped these approaches by two category classifications: Stand-Alone Approaches that can be deployed on a web host without engaging the services of unrelated third parties and Multi-Party Approaches that engage the services of an unrelated third party.
@Verso Here is a page that discusses CAPTCHA and its alternatives. It's a great resource for people thinking about this issue.
Various approaches have been employed over many years to distinguish human users of web sites from robots. The traditional CAPTCHA approach asking users to identify obscured text in an image remains common, but other approaches have emerged. All interactive approaches require users to perform a task believed to be relatively easy for humans but difficult for robots. Unfortunately the very nature of the interactive task inherently excludes many people with disabilities, resulting in a denial of service to these users. Research findings also indicate that many popular CAPTCHA techniques are no longer particularly effective or secure, further complicating the challenge of providing services secured from robotic intrusion yet accessible to people with disabilities. This document examines a number of approaches that allow systems to test for human users and the extent to which these approaches adequately accommodate people with disabilities, including recent non-interactive and tokenized approaches. We have grouped these approaches by two category classifications: Stand-Alone Approaches that can be deployed on a web host without engaging the services of unrelated third parties and Multi-Party Approaches that engage the services of an unrelated third party.
@chainedtomax Here is a page that discusses CAPTCHA and its alternatives. It's a great resource for people thinking about this issue.
Various approaches have been employed over many years to distinguish human users of web sites from robots. The traditional CAPTCHA approach asking users to identify obscured text in an image remains common, but other approaches have emerged. All interactive approaches require users to perform a task believed to be relatively easy for humans but difficult for robots. Unfortunately the very nature of the interactive task inherently excludes many people with disabilities, resulting in a denial of service to these users. Research findings also indicate that many popular CAPTCHA techniques are no longer particularly effective or secure, further complicating the challenge of providing services secured from robotic intrusion yet accessible to people with disabilities. This document examines a number of approaches that allow systems to test for human users and the extent to which these approaches adequately accommodate people with disabilities, including recent non-interactive and tokenized approaches. We have grouped these approaches by two category classifications: Stand-Alone Approaches that can be deployed on a web host without engaging the services of unrelated third parties and Multi-Party Approaches that engage the services of an unrelated third party.
@not2b Here is a page that discusses CAPTCHA and its alternatives. It's a great resource for people thinking about this issue.
Various approaches have been employed over many years to distinguish human users of web sites from robots. The traditional CAPTCHA approach asking users to identify obscured text in an image remains common, but other approaches have emerged. All interactive approaches require users to perform a task believed to be relatively easy for humans but difficult for robots. Unfortunately the very nature of the interactive task inherently excludes many people with disabilities, resulting in a denial of service to these users. Research findings also indicate that many popular CAPTCHA techniques are no longer particularly effective or secure, further complicating the challenge of providing services secured from robotic intrusion yet accessible to people with disabilities. This document examines a number of approaches that allow systems to test for human users and the extent to which these approaches adequately accommodate people with disabilities, including recent non-interactive and tokenized approaches. We have grouped these approaches by two category classifications: Stand-Alone Approaches that can be deployed on a web host without engaging the services of unrelated third parties and Multi-Party Approaches that engage the services of an unrelated third party.
@ppatel You can sign up with #KBin using either #Google or #Facebook, but ya have to scroll past said captcha box to find said options.
With that being said, I also signed up on Lemmy via the #FediaIO instance. To be perfectly fair though, that interface they both use is quite confusing if on #Mac with #VoiceOver at least…
I haven’t tried said platform with Windows yet.
@ppatel #Captchas in general should be outlawed as #antiAccessibility features!
AFAIK, @stux combats #botting via verification eMail and rate-limiting registrations...
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