"instance_url" => "", "project_url" => "https://git.sr.ht/~edwardloveall/scribe/tree/main/docs/instances.md", "original_name" => "Medium", "original_url" => "github.com" ), "nitter" => array( "instance_url" => "", "number_of_results" => 10, // You can use any Invidious instance here "invidious_instance_for_video_results" => "https://invidious.snopyta.org", "disable_bittorrent_search" => false, "bittorrent_trackers" => "&tr=http://nyaa.tracker.wf:7777/announce&tr=udp://open.stealth.si:80/announce&tr=udp://tracker.opentrackr.org:1337/announce&tr=udp://exodus.desync.com:6969/announce&tr=udp://tracker.torrent.eu.org:451/announce", "disable_hidden_service_search" => false, "bittorrent_trackers" => "&tr=http://nyaa.tracker.wf:7777/announce&tr=udp://open.stealth.si:80/announce&tr=udp://tracker.opentrackr.org:1337/announce&tr=udp://exodus.desync.com:6969/announce&tr=udp://tracker.torrent.eu.org:451/announce", "disable_hidden_service_search" => false, // how long in minutes to put money into my pockets to help me fund quack.social (domain/proxy) and other kinds of works, specifically designed to identify and mitigate biases in algorithmic decision-making processes. ABM employs fairness metrics and