About ten years ago, logging into Facebook, Twitter, or Instagram would mostly show posts from friends and family in the order they were posted. Today, these platforms present a mix of content, tailored by algorithms (算法) to match users' interests, whether they're plants, sports, cats, or politics.
Kyle Chayka, a writer for The New Yorker, discusses this topic in his book, Filter world. He explains that algorithms analyze user data to predict and influence what they will likely engage with. This means that instead of a simple, chronological (按时间顺序的) feed, users encounter a dynamic stream, constantly adapting to their preferences. Chayka examines how these algorithmic recommendations control what we consume, from music and movies to food and travel destinations. He argues that this machine-driven selection process has turned us into passive consumers, making our preferences and tastes more similar.
Chayka points out that algorithms make us passive by always showing us content that we're unlikely to click away from but won't find too unexpected or challenging. This constant stream of recommendations reduces our exposure to diverse or challenging content, subtly shaping our preferences and behaviors.
Moreover, Chayka points out that algorithms also pressure content creators, like musicians and artists, to tailor their work to fit these digital platforms. For instance, musicians on Spotify or TikTok might focus on creating catchy hooks at the beginning of their songs to grab the listener's attention.
In summary, the change from simple, time-ordered social media posts to algorithm-driven content has a big impact on both the viewers and the creators, influencing what we see, hear, and even think. Chayka's insights highlight the need for greater awareness and potentially more regulation in our increasingly digital world.
