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.
{
"@context": [
"https://www.w3.org/ns/activitystreams",
{
"ostatus": "http://ostatus.org#",
"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"litepub": "http://litepub.social/ns#",
"directMessage": "litepub:directMessage",
"Hashtag": "as:Hashtag"
}
],
"id": "https://neuromatch.social/users/neuralreckoning/statuses/113305114988680180",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2024-10-14T09:40:49Z",
"url": "https://neuromatch.social/@neuralreckoning/113305114988680180",
"attributedTo": "https://neuromatch.social/users/neuralreckoning",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://neuromatch.social/users/neuralreckoning/followers"
],
"sensitive": false,
"atomUri": "https://neuromatch.social/users/neuralreckoning/statuses/113305114988680180",
"inReplyToAtomUri": null,
"conversation": "tag:neuromatch.social,2024-10-14:objectId=18498144:objectType=Conversation",
"content": "<p>PhD position openings in my group! Check out topics and how to apply below. At the moment, I'm particularly interested in the topic of modularity in both biological and artificial networks, and how it can be used to scale up intelligent processes.</p><p><a href=\"https://neural-reckoning.org/openings.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">neural-reckoning.org/openings.</span><span class=\"invisible\">html</span></a></p><p>Note that competition for PhD funding at Imperial is pretty strong these days, so worth checking if your undergrad/masters grades are equivalent to UK 1st/Distinction before applying. I'm afraid I don't take self-funded PhD students.</p><p><a href=\"https://neuromatch.social/tags/neuroscience\" class=\"mention hashtag\" rel=\"tag\">#<span>neuroscience</span></a> <a href=\"https://neuromatch.social/tags/compneuro\" class=\"mention hashtag\" rel=\"tag\">#<span>compneuro</span></a> <a href=\"https://neuromatch.social/tags/computationalneuroscience\" class=\"mention hashtag\" rel=\"tag\">#<span>computationalneuroscience</span></a> <a href=\"https://neuromatch.social/tags/machinelearning\" class=\"mention hashtag\" rel=\"tag\">#<span>machinelearning</span></a></p>",
"contentMap": {
"en": "<p>PhD position openings in my group! Check out topics and how to apply below. At the moment, I'm particularly interested in the topic of modularity in both biological and artificial networks, and how it can be used to scale up intelligent processes.</p><p><a href=\"https://neural-reckoning.org/openings.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">neural-reckoning.org/openings.</span><span class=\"invisible\">html</span></a></p><p>Note that competition for PhD funding at Imperial is pretty strong these days, so worth checking if your undergrad/masters grades are equivalent to UK 1st/Distinction before applying. I'm afraid I don't take self-funded PhD students.</p><p><a href=\"https://neuromatch.social/tags/neuroscience\" class=\"mention hashtag\" rel=\"tag\">#<span>neuroscience</span></a> <a href=\"https://neuromatch.social/tags/compneuro\" class=\"mention hashtag\" rel=\"tag\">#<span>compneuro</span></a> <a href=\"https://neuromatch.social/tags/computationalneuroscience\" class=\"mention hashtag\" rel=\"tag\">#<span>computationalneuroscience</span></a> <a href=\"https://neuromatch.social/tags/machinelearning\" class=\"mention hashtag\" rel=\"tag\">#<span>machinelearning</span></a></p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/neuroscience",
"name": "#neuroscience"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/compneuro",
"name": "#compneuro"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/computationalneuroscience",
"name": "#computationalneuroscience"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/machinelearning",
"name": "#machinelearning"
}
],
"replies": {
"id": "https://neuromatch.social/users/neuralreckoning/statuses/113305114988680180/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://neuromatch.social/users/neuralreckoning/statuses/113305114988680180/replies?only_other_accounts=true&page=true",
"partOf": "https://neuromatch.social/users/neuralreckoning/statuses/113305114988680180/replies",
"items": []
}
},
"likes": {
"id": "https://neuromatch.social/users/neuralreckoning/statuses/113305114988680180/likes",
"type": "Collection",
"totalItems": 2
},
"shares": {
"id": "https://neuromatch.social/users/neuralreckoning/statuses/113305114988680180/shares",
"type": "Collection",
"totalItems": 24
}
}