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",
"blurhash": "toot:blurhash",
"focalPoint": {
"@container": "@list",
"@id": "toot:focalPoint"
},
"Hashtag": "as:Hashtag"
}
],
"id": "https://sigmoid.social/users/piermonn/statuses/112530741571474504",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2024-05-30T15:27:28Z",
"url": "https://sigmoid.social/@piermonn/112530741571474504",
"attributedTo": "https://sigmoid.social/users/piermonn",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://sigmoid.social/users/piermonn/followers"
],
"sensitive": false,
"atomUri": "https://sigmoid.social/users/piermonn/statuses/112530741571474504",
"inReplyToAtomUri": null,
"conversation": "tag:sigmoid.social,2024-05-30:objectId=33973405:objectType=Conversation",
"content": "<p>Very glad to announce that we got 2 best paper awards at <a href=\"https://sigmoid.social/tags/ESWC2024\" class=\"mention hashtag\" rel=\"tag\">#<span>ESWC2024</span></a> for our works about PyGraft (resource track) and semantically enhanced loss functions to learn graph <a href=\"https://sigmoid.social/tags/embedding\" class=\"mention hashtag\" rel=\"tag\">#<span>embedding</span></a> (research track)! Congratulations Nicolas Hubert!</p><p><a href=\"https://sigmoid.social/tags/knowledgeGraph\" class=\"mention hashtag\" rel=\"tag\">#<span>knowledgeGraph</span></a> <a href=\"https://sigmoid.social/tags/syntheticData\" class=\"mention hashtag\" rel=\"tag\">#<span>syntheticData</span></a> <a href=\"https://sigmoid.social/tags/neuroSymbolicAI\" class=\"mention hashtag\" rel=\"tag\">#<span>neuroSymbolicAI</span></a> <a href=\"https://sigmoid.social/tags/ArtificialIntelligence\" class=\"mention hashtag\" rel=\"tag\">#<span>ArtificialIntelligence</span></a> <a href=\"https://sigmoid.social/tags/semanticWeb\" class=\"mention hashtag\" rel=\"tag\">#<span>semanticWeb</span></a> <a href=\"https://sigmoid.social/tags/linkPrediction\" class=\"mention hashtag\" rel=\"tag\">#<span>linkPrediction</span></a> <a href=\"https://sigmoid.social/tags/graphEmbedding\" class=\"mention hashtag\" rel=\"tag\">#<span>graphEmbedding</span></a></p>",
"contentMap": {
"fr": "<p>Very glad to announce that we got 2 best paper awards at <a href=\"https://sigmoid.social/tags/ESWC2024\" class=\"mention hashtag\" rel=\"tag\">#<span>ESWC2024</span></a> for our works about PyGraft (resource track) and semantically enhanced loss functions to learn graph <a href=\"https://sigmoid.social/tags/embedding\" class=\"mention hashtag\" rel=\"tag\">#<span>embedding</span></a> (research track)! Congratulations Nicolas Hubert!</p><p><a href=\"https://sigmoid.social/tags/knowledgeGraph\" class=\"mention hashtag\" rel=\"tag\">#<span>knowledgeGraph</span></a> <a href=\"https://sigmoid.social/tags/syntheticData\" class=\"mention hashtag\" rel=\"tag\">#<span>syntheticData</span></a> <a href=\"https://sigmoid.social/tags/neuroSymbolicAI\" class=\"mention hashtag\" rel=\"tag\">#<span>neuroSymbolicAI</span></a> <a href=\"https://sigmoid.social/tags/ArtificialIntelligence\" class=\"mention hashtag\" rel=\"tag\">#<span>ArtificialIntelligence</span></a> <a href=\"https://sigmoid.social/tags/semanticWeb\" class=\"mention hashtag\" rel=\"tag\">#<span>semanticWeb</span></a> <a href=\"https://sigmoid.social/tags/linkPrediction\" class=\"mention hashtag\" rel=\"tag\">#<span>linkPrediction</span></a> <a href=\"https://sigmoid.social/tags/graphEmbedding\" class=\"mention hashtag\" rel=\"tag\">#<span>graphEmbedding</span></a></p>"
},
"attachment": [
{
"type": "Document",
"mediaType": "image/jpeg",
"url": "https://cdn.masto.host/sigmoidsocial/media_attachments/files/112/530/738/699/507/645/original/e59a590a521550aa.jpg",
"name": null,
"blurhash": "UNK,]ExtMxV@%It6WBs.0fxuS#t6$eofW=ay",
"width": 1200,
"height": 1600
}
],
"tag": [
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/eswc2024",
"name": "#eswc2024"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/embedding",
"name": "#embedding"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/knowledgegraph",
"name": "#knowledgegraph"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/syntheticdata",
"name": "#syntheticdata"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/NeuroSymbolicAI",
"name": "#NeuroSymbolicAI"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/artificialintelligence",
"name": "#artificialintelligence"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/semanticweb",
"name": "#semanticweb"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/linkprediction",
"name": "#linkprediction"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/graphembedding",
"name": "#graphembedding"
}
],
"replies": {
"id": "https://sigmoid.social/users/piermonn/statuses/112530741571474504/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://sigmoid.social/users/piermonn/statuses/112530741571474504/replies?min_id=112530742719752877&page=true",
"partOf": "https://sigmoid.social/users/piermonn/statuses/112530741571474504/replies",
"items": [
"https://sigmoid.social/users/piermonn/statuses/112530742719752877"
]
}
},
"likes": {
"id": "https://sigmoid.social/users/piermonn/statuses/112530741571474504/likes",
"type": "Collection",
"totalItems": 4
},
"shares": {
"id": "https://sigmoid.social/users/piermonn/statuses/112530741571474504/shares",
"type": "Collection",
"totalItems": 0
}
}