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<blockquote style="position: relative; padding-left: 55px;"><section><a href="https://ligma.pro/users/r000t/statuses/110035677619642109">Nietzschean Ekko Enjoyer (r000t@ligma.pro)'s status on Friday, 17-Mar-2023 09:27:01 JST</a><a href="https://ligma.pro/@r000t" title="r000t@ligma.pro"><img src="https://gnusocial.jp/avatar/1780-48-20220726042633.webp" width="48" height="48" alt="Nietzschean Ekko Enjoyer" style="position: absolute; left: 0; top: 0;">Nietzschean Ekko Enjoyer</a><div><a href="https://nicecrew.digital/objects/716fd25b-87d3-4e34-900e-7b90daa6f2c4" rel="in-reply-to">in reply to</a><ul><li><li><a href="https://gnusocial.jp/user/3409" title="bot@seal.cafe">Fediverse Contractor</a></li><li><a href="https://gnusocial.jp/user/84040" title="lamp@berserker.town">lamp</a></li><li><a href="https://gnusocial.jp/user/104413" title="hitleris6_5@nicecrew.digital">HitlerIs6_5</a></li></ul></div></section><article><p><a href="https://nicecrew.digital/users/HitlerIs6_5">@HitlerIs6_5</a> They do. </p><p>But what's even more useful is hitting them with OCR to find "dunks". You can then look up the filename in a pre-scraped dump of statuses to find the commentary, and obviously the author. </p><p>I'm also looking at using ML to maybe classify screenshots by which platform they're a screenshot of <br><a href="https://berserker.town/@lamp">@lamp</a> <a href="https://poa.st/users/graf">@graf</a> <a href="https://seal.cafe/users/bot">@bot</a></p></article><footer><a rel="bookmark" href="https://gnusocial.jp/conversation/1328243#notice-2760894">In conversation</a><time datetime="2023-03-17T09:27:01+09:00" title="Friday, 17-Mar-2023 09:27:01 JST">Friday, 17-Mar-2023 09:27:01 JST</time> <span>from <span><a href="https://gnusocial.jp/notice/2760894" rel="external" title="Sent from gnusocial.jp via ActivityPub">gnusocial.jp</a></span></span><a href="https://gnusocial.jp/notice/2760894">permalink</a></footer></blockquote>

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Nietzschean Ekko Enjoyer (r000t@ligma.pro)'s status on Friday, 17-Mar-2023 09:27:01 JSTNietzschean Ekko Enjoyer
in reply to
@HitlerIs6_5 They do.
But what's even more useful is hitting them with OCR to find "dunks". You can then look up the filename in a pre-scraped dump of statuses to find the commentary, and obviously the author.
I'm also looking at using ML to maybe classify screenshots by which platform they're a screenshot of
@lamp @graf @bot
In conversationFriday, 17-Mar-2023 09:27:01 JST from gnusocial.jppermalink

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