Tootfinder

Opt-in global Mastodon full text search. Join the index!

No exact results. Similar results found.
@datascience@genomic.social
2026-02-09 11:00:00

{annotater}: Annotate package load calls, so we can have an idea of the overall purpose of the libraries we’re loading: #rstats

Annotate Package Load Calls
Provides non-invasive annotation of package load calls such as \code{library()}, \code{p_load()}, and \code{require()} so that we can have an idea of what the packages we are loading are meant for.

@Mediagazer@mstdn.social
2026-01-07 22:15:48

The US House Judiciary Subcommittee scrutinizes the WBD-Netflix deal, and Rep. Jamie Raskin expresses concern over Trump's influence on Paramount and Netflix (Katie Arcieri/Bloomberg Law)
news.bloomberglaw.com/business

Warner Bros.-Netflix Deal Gets Antitrust Scrutiny in House (1)
House lawmakers Wednesday questioned the proposed tie-up between Warner Bros. and Netflix Inc., with some weighing the competitive tradeoffs and others saying the deal poses significant concerns such as higher prices, job loss in creative fields, and a reduction in diverse viewpoints.

@sauer_lauwarm@mastodon.social
2025-12-08 09:43:23

Experimentell ließ ich über Scribber (scriberr.app), ein recht flexibel konfigurierbares Transkriptions-Tool (Docker-isierbar), eine alte über Zoom mitgeschnittene Vorlesungseinheit von mir transkribieren. Das Ergebnis ließ ich Mistral.AI zusammenfassen. Funktionierte sehr präzise und gut, auch mit Personennamen …

Scriberr — Transcribe audio. Summarize. Annotate.
Scriberr — sleek, minimal transcription app. Transcribe, summarize and annotate audio effortlessly.

@Techmeme@techhub.social
2025-12-08 09:15:44

An interview with 10 Kenyan AI annotators shows Chinese companies hire data labelers via opaque middleman networks and WhatsApp groups to avoid accountability (Rest of World)
restofworld.org/2025/kenya-chi

The hidden Kenyan workers training China’s AI models
An unemployment crisis has created fertile ground for companies to step in with opaque systems built on WhatsApp groups, middlemen, and bargain-basement wages.

@netzschleuder@social.skewed.de
2026-01-08 02:00:04

nematode_mammal: Global nematode–mammal interactions (2018)
A global interaction web of interactions between nematodes and their host mammal species, extracted from the helminthR package and dataset. Nodes are annotated with species-level information.
This network has 30516 nodes and 146683 edges.
Tags: Biological, Food web, Unweighted, Metadata

nematode_mammal: Global nematode–mammal interactions (2018). 30516 nodes, 146683 edges. https://networks.skewed.de/net/nematode_mammal

nematode_mammal — Global nematode–mammal interactions (2018)
A global interaction web of interactions between nematodes and their host mammal species, extracted from the helminthR package and dataset. Nodes are annotated with species-level information.

@Mediagazer@mstdn.social
2026-02-09 11:35:44

Sources: Live Nation-US DOJ settlement talks divide the Trump admin; DOJ antitrust boss Gail Slater is sidelined as Live Nation lobbies against a March trial (Semafor)
semafor.com/article/02/08/2026

Exclusive: Live Nation settlement talks are dividing Trump’s DOJ
Ticketing giant Live Nation has been negotiating with senior DOJ officials outside the antitrust division to avert a trial over whether the company is operating an illegal monopoly, according to people familiar with the matter.

@Techmeme@techhub.social
2025-12-08 12:15:39

Netflix changed movie distribution and its executives now think that licensing shows leaves money on the table; YouTube may help Netflix's WBD antitrust case (Ben Thompson/Stratechery)
stratechery.com/2025/netflix-a

Netflix and the Hollywood End Game
Netflix is driving the Hollywood end game, likely confident it can increase the value of IP, and fend off YouTube.

@netzschleuder@social.skewed.de
2025-11-09 17:00:04

new_zealand_collab: New Zealand scientific collaborations (2015)
A network of scientific collaborations among institutions in New Zealand. Nodes are institutions (universities, organizations, etc.), and two nodes i,j are connected if Scopus lists at least one publication with authors at institutions i and j, in the period 2010-2015. Edges are weighted by the number of such collaborations. Nodes are annotated with the categorical type of institution.
This network has 1511 nodes an…

new_zealand_collab: New Zealand scientific collaborations (2015). 1511 nodes, 4273 edges. https://networks.skewed.de/net/new_zealand_collab

new_zealand_collab — New Zealand scientific collaborations (2015)
A network of scientific collaborations among institutions in New Zealand. Nodes are institutions (universities, organizations, etc.), and two nodes i,j are connected if Scopus lists at least one publication with authors at institutions i and j, in the period 2010-2015. Edges are weighted by the number of such collaborations. Nodes are annotated with the categorical type of institution.

@netzschleuder@social.skewed.de
2026-02-09 06:00:04

us_agencies: U.S. government agency websites (2018)
50 networks, one for each U.S. state, representing the web-based links between their associated government agencies websites. A node is an entire agency website and a directed edge (i,j) represents the existence of a hyperlink from any webpage in website i to some webpage in website j. Data was collected with a crawler. Nodes are annotated with the number of webpages per website, website name (related to its government function) and U…

us_agencies: U.S. government agency websites (2018). 557 nodes, 7584 edges. https://networks.skewed.de/net/us_agencies#alaska

us_agencies — U.S. government agency websites (2018)
50 networks, one for each U.S. state, representing the web-based links between their associated government agencies websites. A node is an entire agency website and a directed edge (i,j) represents the existence of a hyperlink from any webpage in website i to some webpage in website j. Data was collected with a crawler. Nodes are annotated with the number of webpages per website, website name (related to its government function) and URL, and year the website was indexed by the Internet Archive …

@netzschleuder@social.skewed.de
2025-11-09 14:00:04

us_agencies: U.S. government agency websites (2018)
50 networks, one for each U.S. state, representing the web-based links between their associated government agencies websites. A node is an entire agency website and a directed edge (i,j) represents the existence of a hyperlink from any webpage in website i to some webpage in website j. Data was collected with a crawler. Nodes are annotated with the number of webpages per website, website name (related to its government function) and U…

us_agencies: U.S. government agency websites (2018). 1133 nodes, 8161 edges. https://networks.skewed.de/net/us_agencies#illinois

us_agencies — U.S. government agency websites (2018)
50 networks, one for each U.S. state, representing the web-based links between their associated government agencies websites. A node is an entire agency website and a directed edge (i,j) represents the existence of a hyperlink from any webpage in website i to some webpage in website j. Data was collected with a crawler. Nodes are annotated with the number of webpages per website, website name (related to its government function) and URL, and year the website was indexed by the Internet Archive …