A small tool to view real-world ActivityPub objects as JSON! Enter a URL
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request with
the right
Accept
header
to the server to view the underlying object.
{
"@context": [
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{
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"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"Hashtag": "as:Hashtag"
}
],
"id": "https://social.epfl.ch/users/herbst/statuses/114083198681140058",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2025-02-28T19:37:44Z",
"url": "https://social.epfl.ch/@herbst/114083198681140058",
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],
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"content": "<p>Hello <a href=\"https://social.epfl.ch/tags/fediverse\" class=\"mention hashtag\" rel=\"tag\">#<span>fediverse</span></a> <a href=\"https://social.epfl.ch/tags/introduction\" class=\"mention hashtag\" rel=\"tag\">#<span>introduction</span></a></p><p>I'm Michael, professor in the institutes of <a href=\"https://social.epfl.ch/tags/mathematics\" class=\"mention hashtag\" rel=\"tag\">#<span>mathematics</span></a> and <a href=\"https://social.epfl.ch/tags/materials\" class=\"mention hashtag\" rel=\"tag\">#<span>materials</span></a> science and head of the <span class=\"h-card\" translate=\"no\"><a href=\"https://social.epfl.ch/@MatMat\" class=\"u-url mention\">@<span>MatMat</span></a></span> group at <a href=\"https://social.epfl.ch/tags/EPFL\" class=\"mention hashtag\" rel=\"tag\">#<span>EPFL</span></a>.</p><p>I work on the <a href=\"https://social.epfl.ch/tags/atomistic\" class=\"mention hashtag\" rel=\"tag\">#<span>atomistic</span></a> simulations of materials, mainly density-functional theory (DFT) methods, understanding <a href=\"https://social.epfl.ch/tags/simulation\" class=\"mention hashtag\" rel=\"tag\">#<span>simulation</span></a> errors and <a href=\"https://social.epfl.ch/tags/uncertainties\" class=\"mention hashtag\" rel=\"tag\">#<span>uncertainties</span></a> in predicted materials properties.</p><p>I use techniques from <br /><a href=\"https://social.epfl.ch/tags/physics\" class=\"mention hashtag\" rel=\"tag\">#<span>physics</span></a> <a href=\"https://social.epfl.ch/tags/computerscience\" class=\"mention hashtag\" rel=\"tag\">#<span>computerscience</span></a> <a href=\"https://social.epfl.ch/tags/machinelearning\" class=\"mention hashtag\" rel=\"tag\">#<span>machinelearning</span></a> and <br />develop related <a href=\"https://social.epfl.ch/tags/julialang\" class=\"mention hashtag\" rel=\"tag\">#<span>julialang</span></a> packages such as the density-functional toolkit (<a href=\"https://social.epfl.ch/tags/dftk\" class=\"mention hashtag\" rel=\"tag\">#<span>dftk</span></a>).</p>",
"contentMap": {
"en": "<p>Hello <a href=\"https://social.epfl.ch/tags/fediverse\" class=\"mention hashtag\" rel=\"tag\">#<span>fediverse</span></a> <a href=\"https://social.epfl.ch/tags/introduction\" class=\"mention hashtag\" rel=\"tag\">#<span>introduction</span></a></p><p>I'm Michael, professor in the institutes of <a href=\"https://social.epfl.ch/tags/mathematics\" class=\"mention hashtag\" rel=\"tag\">#<span>mathematics</span></a> and <a href=\"https://social.epfl.ch/tags/materials\" class=\"mention hashtag\" rel=\"tag\">#<span>materials</span></a> science and head of the <span class=\"h-card\" translate=\"no\"><a href=\"https://social.epfl.ch/@MatMat\" class=\"u-url mention\">@<span>MatMat</span></a></span> group at <a href=\"https://social.epfl.ch/tags/EPFL\" class=\"mention hashtag\" rel=\"tag\">#<span>EPFL</span></a>.</p><p>I work on the <a href=\"https://social.epfl.ch/tags/atomistic\" class=\"mention hashtag\" rel=\"tag\">#<span>atomistic</span></a> simulations of materials, mainly density-functional theory (DFT) methods, understanding <a href=\"https://social.epfl.ch/tags/simulation\" class=\"mention hashtag\" rel=\"tag\">#<span>simulation</span></a> errors and <a href=\"https://social.epfl.ch/tags/uncertainties\" class=\"mention hashtag\" rel=\"tag\">#<span>uncertainties</span></a> in predicted materials properties.</p><p>I use techniques from <br /><a href=\"https://social.epfl.ch/tags/physics\" class=\"mention hashtag\" rel=\"tag\">#<span>physics</span></a> <a href=\"https://social.epfl.ch/tags/computerscience\" class=\"mention hashtag\" rel=\"tag\">#<span>computerscience</span></a> <a href=\"https://social.epfl.ch/tags/machinelearning\" class=\"mention hashtag\" rel=\"tag\">#<span>machinelearning</span></a> and <br />develop related <a href=\"https://social.epfl.ch/tags/julialang\" class=\"mention hashtag\" rel=\"tag\">#<span>julialang</span></a> packages such as the density-functional toolkit (<a href=\"https://social.epfl.ch/tags/dftk\" class=\"mention hashtag\" rel=\"tag\">#<span>dftk</span></a>).</p>"
},
"updated": "2025-03-01T07:14:01Z",
"attachment": [],
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},
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},
{
"type": "Hashtag",
"href": "https://social.epfl.ch/tags/atomistic",
"name": "#atomistic"
},
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"name": "#simulation"
},
{
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},
{
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},
{
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],
"replies": {
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