A catalog of free & public domain movies from Archive.org and YouTube
https://select.github.io/movies/
One of the reasons I like music and movies so much is that they force my stupid fucking brain to think about something else for a few minutes
just realizing Keke Palmer was Akeelah in Akeelah and the Bee. wild!
#movies
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-…
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
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
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
Senator Mark Kelly, former astronaut, explains his top 3 space movies.
Do they overlap with your favorites?
#Space #MarkKelly #movies
> "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…
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.
Started writing about #selfhosting #movie #streaming using @…
Boots Riley must believe good movies have the same metric as bad code – WTFs per minute, https://www.osnews.com/story/19266/wtfsm/ – and i gotta say it really works for him.
Upcoming #Backrooms Movie used #blender for most of the #VFX :blobratheart:
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
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
Geologists on the silver screen—the sequel: #movies, too ...
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 70 nodes and 299 edges.
Tags: Social, Fictional, Weighted
Graduation Day (1981)
Speaking of graduations...
The new wave band Felony performs “Gangsters of Rock” at the 55min mark in this slasher movie. I love that band!
This film was made for about $250k but grossed more $24million 🤯
Oh and Vanna White makes an appearance.
#music #movies
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 @… !!
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
Loved Backrooms. Found it cool as hell. One of the best flicks I've seen in a WHILE. Bizarre, all kinds of unexplained shit-- just everything I love about movies. Highly recommend.
#horror
I’m pivoting to my agentic era*
*rewatching James Bond movies
TIL there was Batman movie in 1943 that was essentially war propaganda (judging by the trailer) and fed into yellow-fever about the Japanese!?
it's on Tubi!
have not watched. unlikely to.
#batman #movies #film #wwii #racism #propaganda
Don't tell me that a film has a twist. That is in itself a spoiler.
#films #movies
Got movies on my Linux laptop. But my AirPods don't connect to the laptop and I want to enjoy the audio. So I'm installing JellyFin server now to stream to my iPad ... I love it when open systems allow me to solve problems on my own.
Watched #Idiocracy (2006) today for the first time while at the gym. It's one of these movies that are both great and horrible at the same time. It also kinda feels like a prophecy... 🥴
QUESTION:
What is your favorite order to see starwars if you would recommend it to a women that never watched it?
#starwars #movies #letterboxd
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
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…
james cameron didn't make these shitty avatar movies with over the top messaging for you to repeat exactly what was criticized
🕰️ Those were the days!
Real animation done by a real human.
Today marks 20 YEARS since "Animator vs. Animation" by Alan Becker was posted to https://www.newgrounds.com/movies
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.
MINI MOVIE REVIEW
"Remarkably Bright Creatures"
This movie was like if a Hallmark or Lifetime movie became watchable and had a budget.
It's simple and fun, and Sally Field still has it.
My wife, as usual, told me I should read the book because it's much better.
#Movies #Netflix
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.
I wonder if there is a correlation between the fact I’ve watched more horror movies since I’ve transitioned.
#trans
Last night, I filled a gap in my basic knowledge by watching 'Titanic' 🙂↕️
Good movie 👍🏻
#Titanic #Movies #ShareYourMovies
Starting to watch Jesus Christ Vampire Hunter now, for some reason.
#movies #JesusChristVampireHunter #2000s
These: Das 80er Revival hat mit dem des Kalten Kriegs zu tun.
#kino #movies #fashion
RE: https://mefi.social/@MissConstrue/116540178337660516
This perspective is debatable in the books, but the movies definitely foreground it.
Good post.
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
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
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…
It's #LetterboxdFriday and I actually have a #Last4Watched this week. Didn't personally enjoy Twisted or Undertone.
#movies #film
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/
Watching that best of all Bond movies. Moonraker
Cyril Cyril & Le Syndicat du Futur - "Le gros Hit" (2026)
If you know me, you know I love silly and absurd tv, movies, music, etc. So I was psyched to hear this groovy, energetic song from The Geneva-based experimental folk/jazz duo Cyril Cyril.
They literally handed the microphone over to their own kids and the result is a delightfully surreal, playful, and minimalist French indie-pop track.
The lyrics are 😂 and the deadpan delivery against the danceable m…
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
#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…
Off to the local Limelight Cinema with a friend tomorrow morning (Tuesday) to see the new Star Wars movie. Tradition dictates coffee and cinnamon donuts for our film viewing snack.
#HalPriceTuesday #Movies #StarWars
🤚 Getting a 2160p screen to watch 2160p movies.
👉️ Getting a 2160p screen to watch 1080p movies in split-screen with working.
I neeeeed to see the Mile End Kicks movie. Apparently they have lots of artists covering every song from Jagged Little Pill.
and a lot of the smaller artists I already know.
#music #movies
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…
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…
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…
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:/…
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…
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
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
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
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 42 nodes and 109 edges.
Tags: Social, Fictional, Weighted
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…
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…
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 32 nodes and 80 edges.
Tags: Social, Fictional, Weighted
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 50 nodes and 169 edges.
Tags: Social, Fictional, Weighted
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…
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
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…
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 25 nodes and 91 edges.
Tags: Social, Fictional, Weighted
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…
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 35 nodes and 96 edges.
Tags: Social, Fictional, Weighted
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