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For now, though, video streaming is likely to remain a key part of this new media world, just as television has been for the past 100 years. Unlike the telephone or the radio, videos can be embedded on websites, making them a useful medium for many people, from everyday gossip to the latest news. This growing appetite for online video is reflected in the recent success of the most prominent streaming video service, Netflix, which has finally begun to monetize videos as well. Its recent acquisition of streaming video companies Hasbro and Maker Studios for $1.6 billion has been widely interpreted as a bid to further extend its video offerings, which now include original series like Stranger Things and anime like Black Panther. In fact, the bulk of that $1.6 billion—about $1.4 billion—has been spent already. And the near-term opportunities are formidable, not only in building out its original content offerings, but also in further ramping up its subscription service, which is currently the weakest part of its business.
Video services can also identify the member of a family the user visits the most and recommend a movie or series based on the history of their viewing. In one study, researchers at Stanford University found that frequent users of a video streaming service, by default, took on the personality traits of the shows and movies they watched, with higher rated shows and movies prompting a similar profile, as if they were watching the same show on the same date. The more the user of a content streaming service watched content from a particular show, the more likely they were to watch content from that show again the next day.
Video services also have algorithms that decide whether the user is a content partner or not, based on their online browsing history and social connections, and assign them their own, custom TV or movie personalized channels, based on the content they have liked and watched in the past. About half of US respondents said they are not interested in being assigned a TV or movie channel by a video service. Theres also a moral component to the choice. Shazam, for example, removes the user interfaces face detection through its tech, and mines facial data to find relationship suggestions, which makes sense based on how many people watched two people in a relationship together. User-generated content producers are understandably reluctant to use facial recognition, but researchers note that the technology is already so widely used that it may not be possible to separate the two for content creators. If we use the new algorithm now thats added to serve up personalized suggestions based on what other users like, its possible we might find movies that we all like together, and that would make us want to watch them. Its also possible the algorithm could be tuned to recommend things we are trying to avoid. Now, when you watch Netflix on an Apple product, youll see a little icon that lets you mute the sound or turn off the subtitles. On other platforms, theres a ring around the title or picture, and a muted option in the options menu. Weve also redesigned a few other bits of the new experience like how you navigate through movies and TV shows, and how the app explains the content youre watching more clearly. If youre not a user of Apple products, this wouldnt matter. 5ec8ef588b
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