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"
}
}
],
"id": "https://mastodon.social/users/ohmyshambles/statuses/113220471290275659",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2024-09-29T10:54:48Z",
"url": "https://mastodon.social/@ohmyshambles/113220471290275659",
"attributedTo": "https://mastodon.social/users/ohmyshambles",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://mastodon.social/users/ohmyshambles/followers"
],
"sensitive": false,
"atomUri": "https://mastodon.social/users/ohmyshambles/statuses/113220471290275659",
"inReplyToAtomUri": null,
"conversation": "tag:mastodon.social,2024-09-29:objectId=810486585:objectType=Conversation",
"content": "<p>Publication alert! A data-centric approach for ethical and trustworthy AI in journalism This paper aims to bridge the gap between machine learning development and journalism by focusing on three key areas: (1) Assessing the quality of machine learning datasets for journalism projects, through the Accuracy-Fairness-Transparency (AFT) framework that bridges ethical data science with ethical journalism<br /><a href=\"https://link.springer.com/article/10.1007/s10676-024-09801-6\" target=\"_blank\" rel=\"nofollow noopener\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">link.springer.com/article/10.1</span><span class=\"invisible\">007/s10676-024-09801-6</span></a></p>",
"contentMap": {
"en": "<p>Publication alert! A data-centric approach for ethical and trustworthy AI in journalism This paper aims to bridge the gap between machine learning development and journalism by focusing on three key areas: (1) Assessing the quality of machine learning datasets for journalism projects, through the Accuracy-Fairness-Transparency (AFT) framework that bridges ethical data science with ethical journalism<br /><a href=\"https://link.springer.com/article/10.1007/s10676-024-09801-6\" target=\"_blank\" rel=\"nofollow noopener\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">link.springer.com/article/10.1</span><span class=\"invisible\">007/s10676-024-09801-6</span></a></p>"
},
"attachment": [
{
"type": "Document",
"mediaType": "image/jpeg",
"url": "https://files.mastodon.social/media_attachments/files/113/220/470/997/462/320/original/6dcc030f82444a1b.jpg",
"name": null,
"blurhash": "U9S6Play~q_3M{M{M{M{RjIUM{RjIURjfQM{",
"width": 1896,
"height": 2489
}
],
"tag": [],
"replies": {
"id": "https://mastodon.social/users/ohmyshambles/statuses/113220471290275659/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://mastodon.social/users/ohmyshambles/statuses/113220471290275659/replies?min_id=113220481291196912&page=true",
"partOf": "https://mastodon.social/users/ohmyshambles/statuses/113220471290275659/replies",
"items": [
"https://mastodon.social/users/ohmyshambles/statuses/113220481291196912"
]
}
},
"likes": {
"id": "https://mastodon.social/users/ohmyshambles/statuses/113220471290275659/likes",
"type": "Collection",
"totalItems": 0
},
"shares": {
"id": "https://mastodon.social/users/ohmyshambles/statuses/113220471290275659/shares",
"type": "Collection",
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}
}