In recommendation media, content is not distributed to networks of connected people as the primary means of distribution. Instead, the main mechanism for the distribution of content is through opaque, platform-defined algorithms that favor maximum attention and engagement from consumers. The exact type of attention these recommendations seek is alw... See more
the internet, as we have known it, has evolved from a quaint, quirky place to a social utopia, and then to an algorithmic reality. In this reality, the primary task of these platforms is not about idealism or even entertainment — it is about extracting as much revenue as possible from human vanity, avarice, and narcissism.
“The stream has dominated our lives since the mid-2000s,” Caulfield says. But it means people are either posting content or consuming it. And, Caulfield says, the internet as it stands rewards shock value and dumbing things down. “By engaging in digital gardening, you are constantly finding new connections, more depth and nuance,” he says.
The question is not whether algorithms can ever foster greatness—they cannot. Their design is fundamentally at odds with the qualities that define great art: depth, complexity, and the capacity to provoke discomfort or transformation. The question is whether we, as creators and consumers, are willing to resist their influence.
Social media has also proven to simply not be that efficient in terms of matching high quality content with a relevant audience. Just because people can easily distribute content to their friends or friends of friends doesn’t mean that that content will be interesting or relevant to the consumer. This is why, over time, social networks have started... See more
find an offline way to engage with your community through events, conferences, local meetups, and other non-social media engagements because--despite how connected we are--word of mouth/personal referral is still the best way to get clients in any service industry.
Algorithms optimized for engagement shape what we see on social media and can goad us into participation by showing us things that are likely to provoke strong emotional responses. But although we know that all of this is happening in aggregate, it’s hard to know specifically how large technology companies exert their influence over our lives.