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://openbiblio.social/users/openaccessnetwork/statuses/114465591692265526",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2025-05-07T08:25:18Z",
"url": "https://openbiblio.social/@openaccessnetwork/114465591692265526",
"attributedTo": "https://openbiblio.social/users/openaccessnetwork",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://openbiblio.social/users/openaccessnetwork/followers",
"https://openbiblio.social/users/tibhannover"
],
"sensitive": false,
"atomUri": "https://openbiblio.social/users/openaccessnetwork/statuses/114465591692265526",
"inReplyToAtomUri": null,
"conversation": "tag:openbiblio.social,2025-05-07:objectId=49009967:objectType=Conversation",
"content": "<p>Mit KI Antworten auf wissenschaftliche Fragenstellungen finden – aber bitte mit echten Quellen! Der Assistent ORKG Ask von der <span class=\"h-card\" translate=\"no\"><a href=\"https://openbiblio.social/@tibhannover\" class=\"u-url mention\">@<span>tibhannover</span></a></span> kombiniert semantische Suche in 80 Mio. Open-Access-Artikeln mit Sprachmodellen. So entstehen nachvollziehbare, zitierbare Antworten. Warum Open Access dafür entscheidend ist, erklärt Anna-Lena Lorenz in unserem neuen Blogbeitrag: <a href=\"https://open-access.network/blog/orkg-ask-ki-auf-der-suche-nach-antworten-in-open-access-artikeln\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">open-access.network/blog/orkg-</span><span class=\"invisible\">ask-ki-auf-der-suche-nach-antworten-in-open-access-artikeln</span></a></p><p><a href=\"https://openbiblio.social/tags/OpenAccess\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenAccess</span></a> <a href=\"https://openbiblio.social/tags/KI\" class=\"mention hashtag\" rel=\"tag\">#<span>KI</span></a> <a href=\"https://openbiblio.social/tags/OpenScience\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenScience</span></a> <a href=\"https://openbiblio.social/tags/FairData\" class=\"mention hashtag\" rel=\"tag\">#<span>FairData</span></a></p>",
"contentMap": {
"de": "<p>Mit KI Antworten auf wissenschaftliche Fragenstellungen finden – aber bitte mit echten Quellen! Der Assistent ORKG Ask von der <span class=\"h-card\" translate=\"no\"><a href=\"https://openbiblio.social/@tibhannover\" class=\"u-url mention\">@<span>tibhannover</span></a></span> kombiniert semantische Suche in 80 Mio. Open-Access-Artikeln mit Sprachmodellen. So entstehen nachvollziehbare, zitierbare Antworten. Warum Open Access dafür entscheidend ist, erklärt Anna-Lena Lorenz in unserem neuen Blogbeitrag: <a href=\"https://open-access.network/blog/orkg-ask-ki-auf-der-suche-nach-antworten-in-open-access-artikeln\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">open-access.network/blog/orkg-</span><span class=\"invisible\">ask-ki-auf-der-suche-nach-antworten-in-open-access-artikeln</span></a></p><p><a href=\"https://openbiblio.social/tags/OpenAccess\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenAccess</span></a> <a href=\"https://openbiblio.social/tags/KI\" class=\"mention hashtag\" rel=\"tag\">#<span>KI</span></a> <a href=\"https://openbiblio.social/tags/OpenScience\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenScience</span></a> <a href=\"https://openbiblio.social/tags/FairData\" class=\"mention hashtag\" rel=\"tag\">#<span>FairData</span></a></p>"
},
"attachment": [
{
"type": "Document",
"mediaType": "image/webp",
"url": "https://openbiblio.social/system/media_attachments/files/114/465/587/098/007/180/original/e7c93b18527d595a.webp",
"name": null,
"blurhash": "UhI=JjMw0KI:9Fs:t7WBxuM{WCt7oMRjM{t7",
"width": 1140,
"height": 400
}
],
"tag": [
{
"type": "Mention",
"href": "https://openbiblio.social/users/tibhannover",
"name": "@tibhannover"
},
{
"type": "Hashtag",
"href": "https://openbiblio.social/tags/openaccess",
"name": "#openaccess"
},
{
"type": "Hashtag",
"href": "https://openbiblio.social/tags/ki",
"name": "#ki"
},
{
"type": "Hashtag",
"href": "https://openbiblio.social/tags/openscience",
"name": "#openscience"
},
{
"type": "Hashtag",
"href": "https://openbiblio.social/tags/fairdata",
"name": "#fairdata"
}
],
"replies": {
"id": "https://openbiblio.social/users/openaccessnetwork/statuses/114465591692265526/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://openbiblio.social/users/openaccessnetwork/statuses/114465591692265526/replies?only_other_accounts=true&page=true",
"partOf": "https://openbiblio.social/users/openaccessnetwork/statuses/114465591692265526/replies",
"items": []
}
},
"likes": {
"id": "https://openbiblio.social/users/openaccessnetwork/statuses/114465591692265526/likes",
"type": "Collection",
"totalItems": 3
},
"shares": {
"id": "https://openbiblio.social/users/openaccessnetwork/statuses/114465591692265526/shares",
"type": "Collection",
"totalItems": 9
}
}