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",
"Hashtag": "as:Hashtag"
}
],
"id": "https://vis.social/users/waeiski/statuses/113226644468496303",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2024-09-30T13:04:44Z",
"url": "https://vis.social/@waeiski/113226644468496303",
"attributedTo": "https://vis.social/users/waeiski",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://vis.social/users/waeiski/followers"
],
"sensitive": false,
"atomUri": "https://vis.social/users/waeiski/statuses/113226644468496303",
"inReplyToAtomUri": null,
"conversation": "tag:vis.social,2024-09-30:objectId=56827022:objectType=Conversation",
"content": "<p>Discussed revision experiences with colleagues.</p><p>Seems like some peer-reviewers are using LLMs to perform the review, because the suggestions are nonsensical.</p><p>Reminded me of a weird paper published in a high-ranking journal in my field that is full of typos, weird claims, bad figures, and is clearly machine-translated to English, but it somehow has been published. We dug a bit deeper, and the authors have published work of similar quality in other top journals.</p><p><a href=\"https://vis.social/tags/research\" class=\"mention hashtag\" rel=\"tag\">#<span>research</span></a> <a href=\"https://vis.social/tags/academia\" class=\"mention hashtag\" rel=\"tag\">#<span>academia</span></a> <a href=\"https://vis.social/tags/geography\" class=\"mention hashtag\" rel=\"tag\">#<span>geography</span></a></p>",
"contentMap": {
"en": "<p>Discussed revision experiences with colleagues.</p><p>Seems like some peer-reviewers are using LLMs to perform the review, because the suggestions are nonsensical.</p><p>Reminded me of a weird paper published in a high-ranking journal in my field that is full of typos, weird claims, bad figures, and is clearly machine-translated to English, but it somehow has been published. We dug a bit deeper, and the authors have published work of similar quality in other top journals.</p><p><a href=\"https://vis.social/tags/research\" class=\"mention hashtag\" rel=\"tag\">#<span>research</span></a> <a href=\"https://vis.social/tags/academia\" class=\"mention hashtag\" rel=\"tag\">#<span>academia</span></a> <a href=\"https://vis.social/tags/geography\" class=\"mention hashtag\" rel=\"tag\">#<span>geography</span></a></p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://vis.social/tags/research",
"name": "#research"
},
{
"type": "Hashtag",
"href": "https://vis.social/tags/academia",
"name": "#academia"
},
{
"type": "Hashtag",
"href": "https://vis.social/tags/geography",
"name": "#geography"
}
],
"replies": {
"id": "https://vis.social/users/waeiski/statuses/113226644468496303/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://vis.social/users/waeiski/statuses/113226644468496303/replies?only_other_accounts=true&page=true",
"partOf": "https://vis.social/users/waeiski/statuses/113226644468496303/replies",
"items": []
}
},
"likes": {
"id": "https://vis.social/users/waeiski/statuses/113226644468496303/likes",
"type": "Collection",
"totalItems": 3
},
"shares": {
"id": "https://vis.social/users/waeiski/statuses/113226644468496303/shares",
"type": "Collection",
"totalItems": 6
}
}