Microsoft shuts down the Movies & TV storefront on the Microsoft Store on Windows and Xbox; users will continue to be able to access their past purchases (Zac Bowden/Windows Central)
https://www.windowscentral.com/micr…
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…
at the movies but lynn hasn’t told me what we’re seeing. last time it was that execrable robbie williams monkey film (which seems not to have been released anywhere around here)
I've moved on from re-binging "The Last Kingdom" to re-binging "Vikings."
I love historical fiction movies but at some point the forever-burning torches and ubiquitous candles start to bother me. The trouble is that cold darkness doesn't film well.
Boys Go to Jupiter 🍊 Official Trailer
#movies
So, it's a *really* expensive Netflix night, except you don't have to clean up the takeout packaging and glasses at the end of it? Am I missing something? Other than a social barometer, I mean. 🤪
https://www.hollywoodreporter.com/business
Rewatching Honey, I Shrunk the Kids.
It's a shame they do not make kid movies like this anymore.
This movie is amazing! Stunts. Actual stunts!!
#movies #disney
I spotted this '100 best movies of all time' (maybe most popular/influential, see how they chose them) list via Empire, some I agree with, some I'm disturbed by. Now I can't stop thinking about it. Check the list, agree/disagree? What would YOUR top ones be? I'm gonna throw mine together and see what I get. Can I even come up with 100 that are WORTHY? 😂
I'm not really a fan of #Spiderman. Spiderverse was a great movie experience. But before that? Not really into the character nor the movies.
This look at the evolution of the web-slinging effects, however, made me appreciate the franchise a lot more.
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…
You know anomaly games are BIG once they start turning them into movies, I guess: #Exit8
> French Connection II (1975) is a fictional sequel.
#WikiWeird #Movies
@… Wild! I do remember a few movies in this universe too!
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…
Prompt: “Three movies that are similar to Zatoichi but not the most popular ones”.
Likewise.com gives what seems to be a predefined list as changes to the last part are not influencing the result.
Gemini (2.5 Flash): 3 movies from the 70s. I believe they are good recommendations.
ChatGPT: 3 options from the late 60s. I believe they are also good recommendations.
In the end I chose to watch “The Twilight Samurai” 2002.
What's the equivalent of #Immich but for audio and video files?
I'm looking for a self-hostable #FOSS thing that I can throw the rest of my media library in the face (movies, music, downloaded youtube videos, etc.) and it'll sort everything nicely, maybe even query databases to find metada…
How to take action against cbs canceling The Late Show with Stephen Colbert because potus wanted them to?
Do not support cbs, paramount's channels (cbs, nickelodeon, mtv, showtime, bet, comedy central, etc.) platforms and projects: cancel any subscriptions to their services (and tell them why), don't watch and do not praise their work online, do not buy tickets to their movies. So too skydance.
🧵 1 of 2
The Best Movies You've Never Seen
Great Australian Pods Podcast Directory: #GreatAusPods
Those of you who frequently watch TV shows or movies in languages you don’t understand (e.g. with subtitles):
When you recall dialogue in the show/film, do you remember it in the actual language you heard, or in your native language?
This YT account is showing commercial free vintage Godzilla movies live right now.
It started with All Monsters Attack, and is currently on Ebirah, Horror of the Deep. Ends with War of the Gargantuas 🤩
#godzilla #movies
hi yall! weird and arty movies used to be a massive part of my psyche for a brief, intense time when i was younger. but then i had a particularly bad depressive slump that killed the habit. now i wanna get back into it. each day for the next week, im gonna watch one Andrei Tarkovsky film (i found a free collection on archive.org!) and post my initial reaction afterward. i saw one of his movies, Stalker, when i was about 15, and while i liked it, i know i was too young and stupid to actually …
Adalytics finds 9,000 pirated movies, including summer blockbusters, TV shows, and live sports on YouTube, amassing a collective 250M views from July to May (New York Times)
https://www.nytimes.com/2025/07/05/t…
The 21 Worst Things About the Worst Movie of the Year, ‘War of the Worlds’ https://flip.it/2eHWai
I don’t know — this kinda makes me want to see it…
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…
Did anyone else really enjoy "Air", the #Nike/Sonny Vaccaro/Phil Knight/Michael Jordan movie?
Between the 80s references, 80s music & David Falk's hilariously unhinged phone rant, this is one of the most wonderful movies ever for a #GenX'er.
▶️
... Considering how bad recent DC movies were, I liked this.
I couldn't help but laugh yesterday when I saw Darth #Trump transfer from Air Force One in a large military helicopter and take off in a blaze of glory heading G7.
He just loves B-movies! Such a little wannabe. 🤣
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…
Research shows family movies stereotype males as predators and females as vulnerable prey
https://phys.org/news/2025-06-family-movies-stereotype-males-predators.html
Yeah, here are my favorite movies and shows below, separated into series and movies.
Movies
Lady Oscar: https://www.imdb.com/title/tt0077827
Joker (2019):
An adorable indie movie that's like a love-letter to the fantasy movies of the 1980s? Yes plz. I really recommend "Man and Witch" https://www.rottentomatoes.com/m/man_and_witch_the_dance_of_a_thousand_steps
Friendly reminder to put some money toward preservation of our digital heritage.
Non-US peeps: The USD is cheap right now :) You might consider that when choosing your amount.
https://archive.org/donate
Hollywood insiders report widespread off-the-books AI experimentation in studios, often hidden due to avoid backlash, despite union contracts limiting AI use (Lila Shapiro/Vulture)
https://www.vulture.com/article/generative-ai-hollywood-movies-tv.html…
Person 1: The creepy old man we met 15 seconds ago said we have to kill you and bring you back to life.
Person 2: That makes total sense, let's do it!
#FinalDestinationBloodlines #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 25 nodes and 91 edges.
Tags: Social, Fictional, Weighted
A look at the impact of AI voice cloning on India's dubbing and voiceover sector, as artists demand consent, credit, and fair pay amid a lack of laws for AI use (Zico Ghosh/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/m
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…
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…
KPop Demon Hunters
very fun! So much overlap with Turning Red and Gentry Chou IMHO.
#movies
Der Dollar steht, ähem, günstig, eine Gute Gelegenheit™ mal wieder an das Internet Archive zu spenden, ist es nicht?
Die haben ja in letzter viel gespeichert, was von US-Regierungsseiten gelöscht wurde. Brauchen also Geld für zwei, drei neue Festplatten.
Ja, ich wünschte, sie würden sich internationalisieren. Damit die Daten nicht nur in den USA liegen. Damit wir eine Spendenquittung für's Finanzamt bekommen könnten. Aber ist wie es ist.
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 89 edges.
Tags: Social, Fictional, Weighted
If the movie F1 gets sequels, can they not be F2, F3, F4?
Like, have some fun with it:
F off
F yourself
F the f’in’ f’ers
#movies
Started watching Presence after seeing a few recommendations for it. I'm not usually into straight up ghosty type flicks but this one's done in a fairly unique way. Digging it.
#movies
Bend it like Beckham is one of my all time favorite movies. I would watch a sequel in a heartbeat.
The original cast knows it in the works. keira says there should be a sequel in 2018. The OG cast all know it's in the works.
Emma Hayes is somehow involved??
Finishing up Cuckoo tonight, after seeing it recommended on a bunch of horror lists and for awards I think? Kinda weird and confusing so far, we shall see 😂
#movies
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…
Amazon MGM Studios says it will have a $1B slate in 2026 and release 20 movies; 10 will have theatrical runs and will not be exclusive to Prime Video thereafter (Stewart Clarke/Deadline)
https://deadline.com/2025/06/amazon-mgm-2026…
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…
Almost 10 years ago, I wrote an article about consolidation in movies, and the vertical integration perils of movie studios owning the movie distribution channels.
4 years ago, I republished it, because the trend continued.
Now, the trend keeps going. Not great for the industry or the audience.
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 34 nodes and 96 edges.
Tags: Social, Fictional, Weighted
Regretting You | Official Trailer (2025)
#movies
I hadn't heard of Project Hail Mary, but it has Ryan Gosling and it's coming next year. Looks promising.
#movies
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…
BLUE MOON | Official Trailer (2025)
#movies
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…
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
THE THREESOME Trailer (2025)
#movies
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…
The Naked Gun | Official Trailer
#movies #comedy
Eenie Meanie | Official Trailer | Hulu
#movies
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 32 nodes and 134 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…
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 58 nodes and 201 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…
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…
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…