@barijaona@mastodon.mg2026-05-21 01:55:22
A catalog of free & public domain movies from Archive.org and YouTube
https://select.github.io/movies/
@barijaona@mastodon.mg2026-05-21 01:55:22
@stefan@gardenstate.social2026-05-19 13:09:59
just realizing Keke Palmer was Akeelah in Akeelah and the Bee. wild!
#movies
@publicvoit@graz.social2026-03-19 09:35:42
Content warning: “If you had a metal rod that went from here to a star system five light-years away and you pulled on the rod, would the person feel it right away or five years later?”
Answer: 5 years later. Nothing can travel faster than light.
Source: https://www.hollywoodreporter.com/movies/movie-features/project-hail-mary-phil-lord-chris-miller-ryan-gosling-1236524106/
OK, it'…
@Mediagazer@mstdn.social2026-04-17 21:10:59
A look at the continued success of Korean content on Netflix, where subscribers watched 51B hours of Korean movies and TV shows between 2023 and 2025 (Janko Roettgers/The Verge)
https://www.theverge.com/column/913101/netflix-korean-movies-tv-shows
@sproid@social.linux.pizza2026-03-20 02:50:20
The Beekeeper movie is a great action film but is also a mixed bag of values making it a bad movie. Ends up being not a good vigilante movie, not a good anti-hero movie, zero suspense, wasted conspiracy potential, unapologetic copying and badly done trope of the 'John Wick as the boogyman for bad guys'.
I understand movies that just try (and many times succeed) to be mindless action movies where the plot is not the priority. But the Beekeeper movie does try to have a moral mes…
@netzschleuder@social.skewed.de2026-02-21 07:00:05
movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps
@romix@mastodon.green2026-04-20 21:27:38
Hast du eine Superbox zum Serien streamen zu Hause? Verbrenn das Ding sofort! Darknet Diaries hat eine ganze Folge darüber gemacht. Sehr hörenswert.
Darknet Diaries: 172: SuperBox
https://darknetdiaries.com/episode/172/
Warum hat die Fernbedienung dazu ein Mikrofon und einen Bluetooth-…
@Techmeme@techhub.social2026-04-16 11:55:54
A look at Doug Liman's $70M Bitcoin: Killing Satoshi movie, which uses AI for sets, lighting, and more in post-production, cutting costs from an estimated $300M (Emily Zemler/The Wrap)
https://www.thewrap.com/creative-content/m
@seav@en.osm.town2026-03-17 19:35:31
@seeingwithsound@mas.to2026-03-10 14:39:27
Movies reconstructed purely from mouse brain activity https://medicalxpress.com/news/2026-03-movies-reconstructed-purely-mouse-brain.html
Movie reconstruction from mouse visual cortex activity
@Mediagazer@mstdn.social2026-03-18 06:50:49
A look at Norway's growing film industry, after it earned its first-ever Oscar, the Academy Award for best international feature, for the film Sentimental Value (Scott Roxborough/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/m
@whophd@ioc.exchange2026-05-20 04:44:02
RE: https://toad.social/@KimPerales/116567664078107026
We all knew the Terminator movies were a fictional version of the takeover of AI, but fans rejected the historically-accurate plot proposal for being too boring
@chris@mstdn.chrisalemany.ca2026-04-17 15:44:35
wait... i can buy Sony VHS movies from Amazon?
lol
Why is a BluRay of a 1994 reasonably good, but not incredible, movie $60?
Our media world is so weird.
@carloshr@lile.cl2026-03-16 03:10:30
RE: https://flipboard.com/@rollingstone/tv-movies-obm3v418z/-/a-MftrGJgmRPu-21NDaQC9GA:a:3199477-/0
Mi favorita era "Sinners", pero tenía muy pocas posibilidades pues no era una película muy…
@cheryanne@aus.social2026-04-14 10:18:29
My friend and I went to see *Project Hail Mary* today. A hearty recommendation from me. I haven't been to the movies for ages but this one was definitely worth the admission (especially when it's half price on Cheapie Tuesday).
#Movies #ProjectHailMary
@darkrat@chaosfurs.social2026-05-18 19:12:47
Upcoming #Backrooms Movie used #blender for most of the #VFX :blobratheart:
@smurthys@hachyderm.io2026-03-13 13:46:30
Lesson from the movies: The more important it is for two professionals to work together, the more antagonistic they are to each other. At least at first.
#movies #lesson #observation
@samvarma@fosstodon.org2026-03-21 03:09:43
@gwire@mastodon.social2026-04-19 09:23:35
> "Warner Bros would prefer that you referred to their new hard R take on The Mummy as Lee Cronin’s The Mummy"
I *implore* writers to stop referring to horror movies as "hard R". That term has another meaning you should consciously avoid.
https://www.theguardian.com/fi…
@Mediagazer@mstdn.social2026-04-20 20:25:36
A Japanese court sentences a website administrator to prison for posting spoiler-heavy movie summaries, ruling such spoilers constitute copyright infringement (Charles Pulliam-Moore/The Verge)
https://www.theverge.com/entertainment/914
@netzschleuder@social.skewed.de2026-05-20 12:00:05
movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps
@lpryszcz@genomic.social2026-04-14 06:15:54
Started writing about #selfhosting #movie #streaming using @…
@thomasfuchs@hachyderm.io2026-03-15 23:01:16
You should consider watching retro Oscars!
Better movies, also a few months later you could have gone and bought an Apple I from Byte Shop in Mountain View.
https://youtube.com/playlist?list=PLJ8RjvesnvDPydq4p8oTiYNgA0sGA4YYX&si=ALw6_scEyhV_PGZ2
@bourgwick@heads.social2026-03-16 13:32:13
@fgraver@hcommons.social2026-04-03 08:24:13
Killer rabbits, bunny boilers and the holy hand grenade of Antioch: Easter bunny movies – ranked!
https://www.theguardian.com/film/2026/apr/02/easter-bunny-movies-ranked?CMP=Share_iOSApp_Other
@cosmos4u@scicomm.xyz2026-05-13 23:01:51
Geologists on the silver screen—the sequel: #movies, too ...
@v_i_o_l_a@openbiblio.social2026-05-17 06:18:36
die doku "the librarians" ist jetzt bei filmfriend.de verfügbar und im mai "film des monats"!
u.a. die stadtbücherei münster weist darauf in ihrem newsletter hin; sehr gut. 💪
» https://muenster.filmfriend.de/de/movies/the-librarians
@Xavier@infosec.exchange2026-04-15 15:56:21
This is an absolute gold mine for music fans, especially us #genx folks. After listening to pre-Grohl Nirvana, I'm now listening to Tracey Chapman from 1988. Thank you Aadam Jacobs and the @… !!
@jake4480@c.im2026-03-15 17:34:02
David Cronenberg, master of body horror movies, was born today (March 15) in 1943 (during World War II!)
I saw his films 'Crash' and 'Naked Lunch' early, around the same time, in 1997 or 1998. Since then, I've seen many more of his- I just counted, I've seen 13 of his 23 films, and I've loved all of them. I'm a huge fan. My favorite was Shivers for a while. I'm not sure what it is now. Gotta see those final 10!
Happy birthday, David. We love …
@qbi@freie-re.de2026-04-14 18:13:53
Aadam Jacobs ging 1989 mit einem Rekorder zu einem Konzert von #Nirvana. Seitdem hat er sich seinen Spitznamen "Taper Guy"" redlich verdient. Mittlerweile nahm er mehr als 10.000 Konzerte auf Band auf. Jetzt werden die Aufnahmen digitalisiert und bei
@Mediagazer@mstdn.social2026-03-17 10:30:56
How A24, which racked up seven Oscars in 2022, fell flat with Marty Supreme, which had nine nominations but won none despite Timothée Chalamet's viral campaign (Nicole Sperling/New York Times)
https://www.nytimes.com/2026/03/16/movies/a24-marty-supreme-ch…
@memeorandum@universeodon.com2026-03-10 17:35:59
Harvey Weinstein: The Rikers Interview (Maer Roshan/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/movie-features/harvey-weinstein-prison-interview-rikers-exclusive-1236523824/
http://www.memeorandum.com/260310/p64#a260310p64
@cjust@infosec.exchange2026-03-15 17:37:11
@wraithe@mastodon.social2026-05-16 05:22:20
Lips! Lips! Lips!
https://toot.boston/@knizer/116582000861847994
@chris@mstdn.chrisalemany.ca2026-04-21 03:46:54
@randy_@social.linux.pizza2026-04-12 14:19:17
QUESTION:
What is your favorite order to see starwars if you would recommend it to a women that never watched it?
#starwars #movies #letterboxd
@deepthoughts10@infosec.exchange2026-03-08 19:50:27
@oligneisti@social.linux.pizza2026-04-08 08:34:01
@ErikUden@mastodon.de2026-04-08 04:58:31
james cameron didn't make these shitty avatar movies with over the top messaging for you to repeat exactly what was criticized
@compfu@mograph.social2026-05-08 10:31:43
Didn‘t watch this yet but ARTE already had another great doc by the same director ( @ sixtus@mastodon.social ) about AI slop and fakes on the internet. If know German or you‘re francophone. This latest one might even be English. https://chaos.social/@Katika/116534409768887613
@billbert@mastodon.social2026-03-15 20:05:39
Marathon re-HEI of this year's season of On Cinema. @OCATCOfficial @oncinemaonline @oncinema.bsky.social
@NFL@darktundra.xyz2026-05-15 01:24:11
🎥 2026 schedule reveals for all 32 NFL teams https://www.espn.com/nfl/story/_/id/48764468/nfl-2026-schedule-release-social-media-posts-reactions
@Techmeme@techhub.social2026-04-05 09:01:45
How Hollywood support staff are integrating AI into workflows, from mundane tasks to creative development, amid cost-cutting and workload demands (Mia Galuppo/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/movie-featur…
@kurtsh@mastodon.social2026-05-13 02:36:18
FINALLY a reason to watch Disney , other than to rewatch Andor S1-S2 for the 7th time.
✅ Punisher One Last Kill review: The perfect antidote to Marvel's messy multiverse
https://www.polygon.com/punisher-one-last-kill-review-marvel/
@netzschleuder@social.skewed.de2026-03-19 05:00:06
dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
https://network…
@mgorny@social.treehouse.systems2026-05-12 17:39:24
I've finally watched #SoylentGreen, and oh my. I mean, I've seen it coming, it was kinda predictable, but still, shit, that is one heavy movie. Probably not a good time to be watching movies like that.
@joe@toot.works2026-05-02 17:55:34
I haven't been seeing a lot of movies in the theater, lately. It's mainly because hollywood hasn't been releasing a lot of movies lately. I still pay Marcus a monthly fee for their membership program, though and I am up to 7 credits. I need to make more room in my schedule to see something.
@Mediagazer@mstdn.social2026-03-19 01:05:58
Netflix execs refute a rumor that creatives making movies or shows are told to repeat plot points in dialogue often because viewers are distracted by phones (Michael Schneider/Variety)
https://variety.com/2026/tv/news/netflix-execs-not-asking-re…
@soundclamp@mastodon.xyz2026-04-04 21:12:27
Introducing #KinoPolis 🎞️ — a personal screening room for early cinema.
Films from 1896 to the 1930s, free to watch, organized into collections like German Expressionism, Soviet Montage, and Early Hitchcock.
Come get lost in the movies that invented movies!
http://w…
@dichotomiker@dresden.network2026-05-04 13:33:06
@KazuShuSora@social.tchncs.de2026-05-06 06:11:47
Last night, I filled a gap in my basic knowledge by watching 'Titanic' 🙂↕️
Good movie 👍🏻
#Titanic #Movies #ShareYourMovies
@inthehands@hachyderm.io2026-05-08 22:43:16
RE: https://mefi.social/@MissConstrue/116540178337660516
This perspective is debatable in the books, but the movies definitely foreground it.
Good post.
@esoriano@social.linux.pizza2026-04-11 12:59:58
Aadam Jacobs has secretly recorded over 10,000 local concerts since 1989.
Now, they are cleaned up and ready to listen to for free online:
https://archive.org/details/@aadam_jacobs_collection
@thomasfuchs@hachyderm.io2026-05-12 14:33:20
I’m pivoting to my agentic era*
*rewatching James Bond movies
@sherold@mastodon.online2026-04-04 09:45:20
Good morning, Fediverse. ☕
Please keep in mind that today will be another day on which we are going to succeed in not going entirely mad, probably.
#DailyAppreciation #Movies #AnimatedGIFs
@Mediagazer@mstdn.social2026-04-18 22:30:58
Disney announces InfinityVision, a new certification for big theaters; Avengers: Doomsday will debut the same day as the third Dune film, which has an Imax deal (Jesse Hassenger/The Guardian)
https://www.theguardian.com/film/2026/apr/17/hollywood-big-screen-imax…
@jake4480@c.im2026-05-09 06:10:21
#LetterboxdFriday #LastFourWatched for this week- I mean, The Royal Hotel was from a previous week (not watching a ton of movies lately), but I did see three flicks since the last time. Finally took in World War Z (weird) ahead of its sequel. The Well was awesome- great twist- and Mike and Dave was hilar…
@cdarwin@c.im2026-04-26 20:00:48
@dariaphoebe@mindly.social2026-04-09 12:54:51
Crepes, with the lemon curd and meringue from Tuesday. Bacon and egg (mine the one I stole white from to wash a tourtiere last night), tea and coffee. Probably more movies at home today. Concert Friday, weekend up in the air. #TogetherBreakfast https://photos.app.goo.gl/C4uRNEf17YYYAVqi6
@Mediagazer@mstdn.social2026-04-16 17:30:50
A look at Doug Liman's $70M Bitcoin: Killing Satoshi movie, which uses AI for sets, lighting, and more in post-production, cutting costs from an estimated $300M (Emily Zemler/The Wrap)
https://www.thewrap.com/creative-content/m
@memeorandum@universeodon.com2026-03-12 21:46:12
The White House compares deadly conflict with video games and movies in memeified videos to win support for Iran war (NBC News)
https://www.nbcnews.com/politics/white-house/white-house-iran-war-social-media-videos-video-games-football-baseball-rcna263194
http://www.memeorandum.com/260312/p115#a260312p115
@Mediagazer@mstdn.social2026-05-14 12:01:19
Artists Equity says it has paid out a performance bonus to the cast and crew of The Rip based on viewership figures, an unusual back-end payment from Netflix (Aaron Couch/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/m
@jake4480@c.im2026-05-14 23:02:18
Kate Beckinsale to star in 'Twilight of the Dead' -- George Romero had written a treatment for it before he passed in 2017 and regarded Twilight of the Dead as the conclusion to his epic saga (six movies and various spinoffs and remakes). The most recent movie in the franchise came out in 2009.
https:/…
@Techmeme@techhub.social2026-03-12 14:21:30
Disney is rolling out Verts, its new short-form video feed, to US users on its mobile app, featuring clips from movies and TV shows on Disney (Aisha Malik/TechCrunch)
https://techcrunch.com/2026/03/12/disney-is-rolling-out-its-tiktok-lik…
@netzschleuder@social.skewed.de2026-05-17 22:00:05
movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps
@NFL@darktundra.xyz2026-04-21 11:06:13
'Hold on to your butts!': Using '90s movie quotes to scout 2026 NFL Draft's top prospects https://www.nytimes.com/athletic/7210183/2026/04/21/nfl-draft-2026-top-30-prospects-movies/
@Mediagazer@mstdn.social2026-04-14 08:15:38
A look at Saudi Arabia's ambitious push into Hollywood, sources say including contributing ~$12B for Paramount's WBD acquisition, as part of a soft power game (Scott Roxborough/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/m
@inthehands@hachyderm.io2026-03-08 17:54:59
Because @…’s Flipboard site won’t scroll for me (?!?), here’s the paragraph with the punch:
❝It’s worth noting that over the decades, Pixar has explored topics such as, but [not*] limited to: becoming a widower, suddenly becoming a single or adoptive parent, environmental collapse, existential dread, motherhood, and job burnout. The first Incredibles has a subplot where Elastigirl thinks Mr. Incredible is having an affair, Toy Story 3 has the toys accept death by furnace, and Elemental is about interracial relationships. The last two movies Docter directed were Soul, which is about a Black man finding joy in his life again, and Inside Out—maybe the most therapy-ass movie (and series) in the studio’s entire 40-year tenure—is about messy preteen emotions that lead to its main character running away from home.❞
* The word “not” is missing in the original, surely an editorial mistake?
https://flipboard.com/@gizmodo/i09-ifm0rl1hz/-/a-M010weUPTnu1lZIfiOE3oQ:a:1876139665-/0
@Mediagazer@mstdn.social2026-04-04 07:40:58
A researcher finds the average length of a wide-release theatrical film grew from about 106 minutes in the 1990s and early 2000s to 114 minutes in recent years (James Hibberd/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/movie-news/mov…
@thomasfuchs@hachyderm.io2026-03-08 16:39:10
Like the whole fart-shite about “make your own custom movies!” is a soup-to-deez-nutz power-fantasy wankery of tech bros who have a sad that they’re not as cool as “the creatives”.
@netzschleuder@social.skewed.de2026-05-10 14:00:05
moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 38 nodes and 96 edges.
Tags: Social, Fictional, Weighted
@stefan@gardenstate.social2026-04-26 03:40:15
I'm very sad I will not be able to see Speed Racer in theaters. All the times are terrible for me.
#movies
@Mediagazer@mstdn.social2026-04-14 14:35:39
Sources: Ted Sarandos met with several heads of exhibition at CinemaCon in Las Vegas and discussed the possibility of putting more Netflix films into theaters (The Wrap)
https://www.thewrap.com/creative-content/movies/netflix-theaters-ted-sara…
@Techmeme@techhub.social2026-04-09 08:55:32
Tubi becomes the first streamer to launch a native app within ChatGPT, allowing viewers to find movies or shows to watch by using conversational phrases (Lauren Forristal/TechCrunch)
https://techcrunch.com/2026/04/08/tubi-is-the-first-strea…
@thomasfuchs@hachyderm.io2026-05-06 22:50:28
Watching that best of all Bond movies. Moonraker
@jake4480@c.im2026-05-03 05:50:06
Just did Mike and Dave Need Wedding Dates and it was easily one of the best, funniest comedies I've seen in a while. Just unreal 😂
#movies
@netzschleuder@social.skewed.de2026-05-08 04:00:04
moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 18 nodes and 50 edges.
Tags: Social, Fictional, Weighted
@Mediagazer@mstdn.social2026-04-16 19:20:47
Paramount CEO David Ellison makes an unexpected appearance at CinemaCon, promising a 45-day theatrical window for all Paramount movies going forward (Rebecca Keegan/NBC News)
https://www.nbcnews.com/business/media/david-ellison…
@netzschleuder@social.skewed.de2026-03-11 13:00:08
douban: Douban friendship network (2009)
A friendship network among users on Douban.com, a Chinese website providing recommendations for books, music, and movies.
This network has 154908 nodes and 327162 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/douban…
@Mediagazer@mstdn.social2026-03-12 14:20:50
Disney is rolling out Verts, its new short-form video feed, to US users on its mobile app, featuring clips from movies and TV shows on Disney (Kayla Cobb/The Wrap)
https://www.thewrap.com/media-platforms/tv/disney-plus-vertical-video-verts-explained/
@netzschleuder@social.skewed.de2026-04-16 11:00:06
dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
https://network…
@Mediagazer@mstdn.social2026-03-11 01:13:45
In an interview, Harvey Weinstein says prison life is "hell", Disney cut off his insurance and pays a $60K/year pension, he will be "proven innocent", and more (Maer Roshan/The Hollywood Reporter)
https://www.hollywoodreporter.com/m…
@netzschleuder@social.skewed.de2026-03-16 01:00:05
movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps
@Mediagazer@mstdn.social2026-04-05 08:01:07
How Hollywood support staff are integrating AI into workflows, from mundane tasks to creative development, amid cost-cutting and workload demands (Mia Galuppo/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/movie-featur…
@Mediagazer@mstdn.social2026-05-14 13:20:47
TrueShort, which makes vertical AI-generated movies broken into one- to three-minute episodes, raised a $12M seed led by Keith Rabois at Khosla Ventures (Lucia Moses/Business Insider)
https://www.businessinsider.com/khosla-vent…
@netzschleuder@social.skewed.de2026-05-14 16:00:08
douban: Douban friendship network (2009)
A friendship network among users on Douban.com, a Chinese website providing recommendations for books, music, and movies.
This network has 154908 nodes and 327162 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/douban…
@Mediagazer@mstdn.social2026-04-03 21:41:01
Netflix quietly unlocked Sony Pictures legacy titles and recent Pay-1 films for ad-tier subscribers for the first time and much earlier than expected (Kasey Moore/What's on Netflix)
https://www.whats-on-netflix.com/news/netflix-ju…
@netzschleuder@social.skewed.de2026-04-30 20:00:07
moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 37 nodes and 71 edges.
Tags: Social, Fictional, Weighted
@Mediagazer@mstdn.social2026-03-03 00:40:48
Ben Affleck and Matt Damon's Artists Equity signs a first-look streaming production and distribution deal with Netflix; it also has a theatrical deal with Sony (Mia Galuppo/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/m
@netzschleuder@social.skewed.de2026-03-08 21:00:05
movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps
@Mediagazer@mstdn.social2026-05-01 19:30:54
The Academy tightens rules about AI use for Oscar competitors in 2027, says only human-authored screenplays are eligible, and revises international Oscars rules (Scott Feinberg/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/m
@netzschleuder@social.skewed.de2026-04-14 04:00:10
dbtropes_feature: Artistic works and their tropes
A bipartite network of artistic works (movies, novels, etc.) and their tropes (stylistic conventions or devices), as extracted from tvtropes.org. The date of this snapshot is uncertain.
This network has 152093 nodes and 3232134 edges.
Tags: Informational, Relatedness, Unweighted
https…
@Mediagazer@mstdn.social2026-04-27 21:15:34
How sanitised biopics became a Hollywood staple, as studios and estates of celebrities seek to monetize fan nostalgia; Michael is expected to earn more than $1B (Catherine Shoard/The Guardian)
https://www.theguardian.com/news/ng-intera
@netzschleuder@social.skewed.de2026-03-13 14:00:08
douban: Douban friendship network (2009)
A friendship network among users on Douban.com, a Chinese website providing recommendations for books, music, and movies.
This network has 154908 nodes and 327162 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/douban…
@Mediagazer@mstdn.social2026-03-12 11:30:56
Universal says it is shifting to five weekends of exclusive theatrical runs, up from three, and will move to a minimum of seven weekends in January 2027 (Brooks Barnes/New York Times)
https://www.nytimes.com/2026/03/12/business/universal-…
@netzschleuder@social.skewed.de2026-03-07 07:00:09
dbtropes_feature: Artistic works and their tropes
A bipartite network of artistic works (movies, novels, etc.) and their tropes (stylistic conventions or devices), as extracted from tvtropes.org. The date of this snapshot is uncertain.
This network has 152093 nodes and 3232134 edges.
Tags: Informational, Relatedness, Unweighted
https…
@netzschleuder@social.skewed.de2026-03-06 22:00:08
douban: Douban friendship network (2009)
A friendship network among users on Douban.com, a Chinese website providing recommendations for books, music, and movies.
This network has 154908 nodes and 327162 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/douban…
@netzschleuder@social.skewed.de2026-03-06 11:00:05
movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps
@Mediagazer@mstdn.social2026-04-09 03:01:21
Tubi becomes the first streamer to launch a native app within ChatGPT, allowing viewers to find movies or shows to watch by using conversational phrases (Lauren Forristal/TechCrunch)
https://techcrunch.com/2026/04/08/tubi-is-the-first-strea…
