A purported leak of 2,500 pages of internal documentation from Google sheds light on how Search, the most powerful arbiter of the internet, operates.

The leaked documents touch on topics like what kind of data Google collects and uses, which sites Google elevates for sensitive topics like elections, how Google handles small websites, and more. Some information in the documents appears to be in conflict with public statements by Google representatives, according to Fishkin and King.

  • jonne@infosec.pub
    link
    fedilink
    English
    arrow-up
    64
    arrow-down
    2
    ·
    1 month ago

    You mean hosting your own crawler/indexer? That doesn’t really sound like a thing you could do cost-effectively.

    • interdimensionalmeme@lemmy.ml
      link
      fedilink
      English
      arrow-up
      62
      ·
      1 month ago

      No problem we crowdsource the crawling torrent style.

      We outsourced that to google for reasonnable performance reason. But they shit the bed so now there’s no choice but to do it ourselves.

          • wanderingmagus@lemm.ee
            link
            fedilink
            English
            arrow-up
            2
            ·
            25 days ago

            Veilid is a peer-to-peer network and application framework released by the Cult of the Dead Cow on August 11, 2023, at DEF CON 31.[1][2][3][4] Described by its authors as “like Tor, but for apps”,[5] it is written in Rust, and runs on Linux, macOS, Windows, Android, iOS,[6] and in-browser WASM.[7] VeilidChat is a secure messaging application built on Veilid.[1][4]

            Veilid borrows from both the Tor anonymising router and the InterPlanetary File System (IPFS), to offer encrypted and anonymous peer-to-peer connection using a 256-bit public key as the only visible ID. Even details such as IP addresses are hidden.[4]

            Source: https://en.wikipedia.org/wiki/Veilid

    • zutto@lemmy.fedi.zutto.fi
      link
      fedilink
      English
      arrow-up
      19
      ·
      1 month ago

      Surprisingly, it’s very doable, requires basic technical knowledge and relatively minimal computing resources (runs in the background on your computer).

      https://yacy.net/ Github

      I have tampermonkey script that sends yacy to crawl any websites that I visit, and it’s keeping up relatively good index for personal use of the visited websites. Combine yacy with ~300gb of Kiwix databases, add searxng as a frontend and you have pretty strong self hosted search engine.

      Of course you need to supplement your searches from other search engines, as yacy does not crawl the whole web, just what you tell it to.

      I encourage anyone who’s even slightly interested on this stuff to try Yacy, it’s ancient piece of software, but it still works very well and is not an abandoned project yet!

      I personally use Yacy mostly on private mode, but it does have the distributed network there as well. Yacy current freeworld status

      • jonne@infosec.pub
        link
        fedilink
        English
        arrow-up
        7
        ·
        1 month ago

        Yeah, I guess the P2P component sort of solves part of the issue I was imagining by distributing indexes and crawling. I was thinking that people were trying to run all of Google on a raspberry pi at home.

      • Finadil@lemmy.world
        link
        fedilink
        English
        arrow-up
        5
        ·
        1 month ago

        This is interesting, have you had it index reddit? I’m just wondering how much storage space the database takes up.

        • zutto@lemmy.fedi.zutto.fi
          link
          fedilink
          English
          arrow-up
          3
          ·
          1 month ago

          Hi!

          Great question! I don’t crawl reddit, but this applies to other large sites as well. reddit themselves they have at this very moment banned the ip range where I host my Yacy at (Hetzner). I just looked up from my index that I do have 257k pages indexed from reddit through teddit I used to run, this is from before reddit api-enshittification, going to delete those right now.

          And the way how the crawling is done is you define crawling depth, which limits how much content is crawled from the site.

          • 0 crawling depth = only the page you send Yacy to, nothing more.
          • 1 crawling depth = all the links on the page you send Yacy to
          • 2 crawling depth = all links on the page you send Yacy to, and all links on the pages crawled…
          • 3 …
          • n …

          … etc.

          I have my tampermonkey scripts set to only crawling depth of 1 at the moment (Just set them to 2 actually, kinda curious how much more I will be crawling), I’ve manually crawled some local news sites as a curiosity at the beginning. And my database is currently relatively small, only around ~86.38 gigabytes according to Yacy. This stores aproximately 2.6 million documents in Yacy’s Solr.

          Yacy memory & disk usage. Yacy solr index size

          Yacy has tons of options for crawling, so you can customize how much it crawls and even filter out overly large sites with maximum number of documents set when you send Yacy there.

          Large picture of Yacy's interface for starting a crawl.

          The tampermonkey script I’ve been talking about in these posts, it’s very simple script: https://github.com/JeremyRand/YaCyIndexerGreasemonkey

          Hit me up if you guys have more questions! I’m by no means an expert on Yacy, but I will do my best to answer.

    • brbposting@sh.itjust.works
      link
      fedilink
      English
      arrow-up
      16
      ·
      1 month ago

      Right!

      Before his company was able to block more of Microsoft’s own tracking scripts, DuckDuckGo CEO and founder Gabriel Weinberg explained in a Reddit reply why firms like his weren’t going the full DIY route:

      “… [W]e source most of our traditional links and images privately from Bing … Really only two companies (Google and Microsoft) have a high-quality global web link index (because I believe it costs upwards of a billion dollars a year to do), and so literally every other global search engine needs to bootstrap with one or both of them to provide a mainstream search product. The same is true for maps btw – only the biggest companies can similarly afford to put satellites up and send ground cars to take streetview pictures of every neighborhood.”

      Ars