TikTok will make it easier to identify movies and TV shows that users are clipping

Date:

Share:


One of the more annoying aspects of (and Instagram and X) culture is when a user shares a contextless but captivating clip from a movie or a TV show. Oftentimes, they won’t state or upfront, prompting viewers to ask in the comments in an engagement-boosting trick. TikTok is stepping in to with a new feature called TikTok Spotlight.

When the platform’s tech detects an applicable clip, it will add an anchor link to a landing page with more details about the show or movie. The page will include a synopsis, cast info and official accounts, as well as other TikToks linked to the same title so you can keep going down the rabbit hole. The landing page will also include details on where to watch the show or movie if it’s on a streaming service, or a way to buy tickets if a film is still in theaters.

There are benefits for studios that take part in this initiative too. TikTok is now an important part of marketing strategies for movies and TV shows, so having a hub where interested users can go to learn more and possibly buy theater tickets is something Hollywood can take advantage of. TikTok says they’ll be able to find creators who are a good match and incentivize them to spread the word about their projects. Studios will also have access to engagement analytics.





Source link

━ more like this

The best Father’s Day gifts for any dad in 2025

Look, if your dad is anything like me, then they’re probably not a massive gamer, or might just play the odd title. I’m...

How to Make AI Faster and Smarter—With a Little Help from Physics

What exactly is AI Scientist—just a fancy kind of neural net?It’s not a single neural network, but rather an ensemble of computer programs...

How to watch the Latin American Games Showcase at Summer Game Fest 2025

Summer Game Fest 2025 is just around the corner and it'll be a weekend packed with video game news. The event kicks off...

Research roundup: 7 stories we almost missed

Jazz lovers likely...
spot_img