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Canvis a "Dereference (new) profile pages to limit spam exposure and disincentivise spam accounts"

Avatar: Pierre Mesure
Pierre Mesure

Títol

  • -{"es"=>"Dereference (new) profile pages to limit spam exposure and disincentivise spam accounts"}
  • +{"ca"=>"Dereference (new) profile pages to limit spam exposure and disincentivise spam accounts"}

Cos

  • -["

    Is your feature request related to a problem? Please describe.

    Many platforms are suffering from spam bots creating accounts with profiles promoting services in their profile picture, description and personal URL.

    The suspect reason behind them creating accounts is to be able to spread links and keywords in the wider web by increasing their exposition.

    As you can see in the attached picture, spam profiles are easy to find on search engines such as Google (in the example, a simple search for \"decidim escort\" finds 4 spam profiles for escorts)

    Describe the solution you'd like

    Following the improvement (External link) (External link) (Enlace externo) made by @ahu to prevent spammers from gaining traffic and SEO juice from their actions, I found this page (External link) (External link) (Enlace externo) from Google describing some tips to reduce comment spam on websites.

    One of the suggestions is to dereference the profile pages from Google (External link) (External link) (Enlace externo) and other search engines to reduce even further the reward.

    To achieve that, one way is to add in the <head> of the profile pages:

    <meta name=\"robots\" content=\"noindex\">

    Describe alternatives you've considered

    The documentation from Google adds that this can be done in a more targeted way, for example by disabling referencing only for new users. The tag could be added when generating the page for users who created their profile less than a month ago, or users with less than 3 proposals published...

    In the same vein, the dereferencing could also be applied to new proposals?

    Additional context
    Add any other context or screenshots about the feature request here.

    Could this issue have an impact on users private data?

    No

    Funded by

    Funded by Digidem Lab.

    "]
  • +["

    Is your feature request related to a problem? Please describe.

    Many platforms are suffering from spam bots creating accounts with profiles promoting services in their profile picture, description and personal URL.

    The suspect reason behind them creating accounts is to be able to spread links and keywords in the wider web by increasing their exposition.

    As you can see in the attached picture, spam profiles are easy to find on search engines such as Google (in the example, a simple search for \"decidim escort\" finds 4 spam profiles for escorts)

    Describe the solution you'd like

    Following the improvement (External link) (External link) (Enlace externo) (Enllaç extern) made by @ahu to prevent spammers from gaining traffic and SEO juice from their actions, I found this page (External link) (External link) (Enlace externo) (Enllaç extern) from Google describing some tips to reduce comment spam on websites.

    One of the suggestions is to dereference the profile pages from Google (External link) (External link) (Enlace externo) (Enllaç extern) and other search engines to reduce even further the reward.

    To achieve that, one way is to add in the <head> of the profile pages:

    <meta name=\"robots\" content=\"noindex\">

    Describe alternatives you've considered

    The documentation from Google adds that this can be done in a more targeted way, for example by disabling referencing only for new users. The tag could be added when generating the page for users who created their profile less than a month ago, or users with less than 3 proposals published...

    In the same vein, the dereferencing could also be applied to new proposals?

    Additional context
    Add any other context or screenshots about the feature request here.

    Could this issue have an impact on users private data?

    No

    Funded by

    Funded by Digidem Lab.

    "]

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