A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
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"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"Hashtag": "as:Hashtag"
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"id": "https://mastodon.social/users/hfrick/statuses/113430385626441249",
"type": "Note",
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"published": "2024-11-05T12:38:47Z",
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"content": "<p>The talk videos from posit::conf(2024) are here! While I go catch up on talks I had to miss, here are the links to the tidymodels session 🧵 <a href=\"https://mastodon.social/tags/RStats\" class=\"mention hashtag\" rel=\"tag\">#<span>RStats</span></a></p><p>I got to make the general pitch for treating time-to-event data to censored regression models <a href=\"https://www.youtube.com/watch?v=NhUGixMJk7U&list=PL9HYL-VRX0oSFkdF4fJeY63eGDvgofcbn&index=20\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">youtube.com/watch?v=NhUGixMJk7</span><span class=\"invisible\">U&list=PL9HYL-VRX0oSFkdF4fJeY63eGDvgofcbn&index=20</span></a></p><p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@topepo\" class=\"u-url mention\">@<span>topepo</span></a></span> followed up with more details on how performance metrics for time-to-event models work: <a href=\"https://www.youtube.com/watch?v=cm34R5aYUQ4&list=PL9HYL-VRX0oSFkdF4fJeY63eGDvgofcbn&index=33\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">youtube.com/watch?v=cm34R5aYUQ</span><span class=\"invisible\">4&list=PL9HYL-VRX0oSFkdF4fJeY63eGDvgofcbn&index=33</span></a></p>",
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"en": "<p>The talk videos from posit::conf(2024) are here! While I go catch up on talks I had to miss, here are the links to the tidymodels session 🧵 <a href=\"https://mastodon.social/tags/RStats\" class=\"mention hashtag\" rel=\"tag\">#<span>RStats</span></a></p><p>I got to make the general pitch for treating time-to-event data to censored regression models <a href=\"https://www.youtube.com/watch?v=NhUGixMJk7U&list=PL9HYL-VRX0oSFkdF4fJeY63eGDvgofcbn&index=20\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">youtube.com/watch?v=NhUGixMJk7</span><span class=\"invisible\">U&list=PL9HYL-VRX0oSFkdF4fJeY63eGDvgofcbn&index=20</span></a></p><p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@topepo\" class=\"u-url mention\">@<span>topepo</span></a></span> followed up with more details on how performance metrics for time-to-event models work: <a href=\"https://www.youtube.com/watch?v=cm34R5aYUQ4&list=PL9HYL-VRX0oSFkdF4fJeY63eGDvgofcbn&index=33\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">youtube.com/watch?v=cm34R5aYUQ</span><span class=\"invisible\">4&list=PL9HYL-VRX0oSFkdF4fJeY63eGDvgofcbn&index=33</span></a></p>"
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