ActivityPub Viewer

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.

Open in browser →
{ "@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" } ], "id": "https://econtwitter.net/users/brhkim/statuses/109626797375002511", "type": "Note", "summary": null, "inReplyTo": null, "published": "2023-01-03T18:56:16Z", "url": "https://econtwitter.net/@brhkim/109626797375002511", "attributedTo": "https://econtwitter.net/users/brhkim", "to": [ "https://econtwitter.net/users/brhkim/followers" ], "cc": [ "https://www.w3.org/ns/activitystreams#Public", "https://scholar.social/users/evanmiltenburg" ], "sensitive": false, "atomUri": "https://econtwitter.net/users/brhkim/statuses/109626797375002511", "inReplyToAtomUri": null, "conversation": "tag:econtwitter.net,2023-01-03:objectId=4563932:objectType=Conversation", "content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://scholar.social/@evanmiltenburg\" class=\"u-url mention\">@<span>evanmiltenburg</span></a></span> Alrighty, just got a chance to read/view. I think this is spot-on when it comes to potential automated plagiarism and pedagogy (and I think nicely aligns with my training on best practices for &quot;regular&quot; plagiarism when I was a HS English teacher, too). </p><p>That said, I think the value of detection is much broader than just in academic contexts, e.g., falsifying social media campaigns, generating swathes of legitimate looking news articles to disinform. And what then?</p>", "contentMap": { "en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://scholar.social/@evanmiltenburg\" class=\"u-url mention\">@<span>evanmiltenburg</span></a></span> Alrighty, just got a chance to read/view. I think this is spot-on when it comes to potential automated plagiarism and pedagogy (and I think nicely aligns with my training on best practices for &quot;regular&quot; plagiarism when I was a HS English teacher, too). </p><p>That said, I think the value of detection is much broader than just in academic contexts, e.g., falsifying social media campaigns, generating swathes of legitimate looking news articles to disinform. And what then?</p>" }, "attachment": [], "tag": [ { "type": "Mention", "href": "https://scholar.social/users/evanmiltenburg", "name": "@evanmiltenburg@scholar.social" } ], "replies": { "id": "https://econtwitter.net/users/brhkim/statuses/109626797375002511/replies", "type": "Collection", "first": { "type": "CollectionPage", "next": "https://econtwitter.net/users/brhkim/statuses/109626797375002511/replies?only_other_accounts=true&page=true", "partOf": "https://econtwitter.net/users/brhkim/statuses/109626797375002511/replies", "items": [] } }, "likes": { "id": "https://econtwitter.net/users/brhkim/statuses/109626797375002511/likes", "type": "Collection", "totalItems": 0 }, "shares": { "id": "https://econtwitter.net/users/brhkim/statuses/109626797375002511/shares", "type": "Collection", "totalItems": 0 } }