Original writing on the current state of digital content, including SEO, UX, social media, legacy media, software, independent publishers, AR, VR, emerging tech, and everything in between.
Instead of trucks and newsstands, in 2024 we have web- and social network-based aggregator systems that pipe content directly to consumers via software. Navigating algorithmic distribution is a necessary challenge. Here are some tips.
When we publish content on behalf of a business — for any reason at all — we are always making an argument. We are always floating an idea for our audience to accept or reject. How can we bring ideas to the forefront of content production?
With data science and algorithms being panned into binary, good-versus-bad narratives, where can we find clarity and room to experiment?
How can we better elevate content strategy at the business level so that our roles, our passions, our work, and our brains are not considered replaceable?
Understanding predictive modeling can help you play moneyball temporarily, but it doesn’t scale as anticipated. And the scientific method completely falls apart when applied to the chaos of the internet. Here's why.
There’s a lot of online chatter on the new platform-driven internet, the rise of AI, and what all that means for the future. With techno-optimists and legacy media failing to understand what’s actually going on, maybe it’s time to create the internet we really want.