Event JSON
{
"id": "86827a265e88256a0d616b0bc007753ed5fad6409e1c5ac23a87aa8575d77045",
"pubkey": "36a30783457602c172cb404d77ab5e299f0b2f486ca63ca30b3a4bf06e5c0447",
"created_at": 1725816621,
"kind": 1,
"tags": [
[
"proxy",
"https://mas.to/@assaf/113103118098780125",
"web"
],
[
"proxy",
"https://mas.to/users/assaf/statuses/113103118098780125",
"activitypub"
],
[
"L",
"pink.momostr"
],
[
"l",
"pink.momostr.activitypub:https://mas.to/users/assaf/statuses/113103118098780125",
"pink.momostr"
],
[
"-"
]
],
"content": "“The publications were related to three issue areas—health (14.5%), environment (19.5%) and computing (23%)—with key terms such “healthcare,” “COVID-19,” or “infection”for health-related papers, and “analysis,” “sustainable,” and “global” for environment-related papers”\nhttps://misinforeview.hks.harvard.edu/article/gpt-fabricated-scientific-papers-on-google-scholar-key-features-spread-and-implications-for-preempting-evidence-manipulation/",
"sig": "e4645211855c5aef57d904d325943462e8ba32c05aa2507ecf6771985bb6d8e648288f7416084b3da021e5be2a04db43f6192c1c3ea1e7b2b6edfb4225e972e4"
}