The transition of news from bundled content, to personal subscriptions, to relevance filters
As an avid reader and amateur author I'll be the first to admit writing goes through rhythms of quality and crowd relevance. Even the best authors have bad days, and there are times when they expect posts to be big hits yet they fizzle on fans. The pros come back several times a day swinging and more often than not, pattern match perfectly to a crowd hungry for infotainment.
Most professional writers struggle to grow readership or increase engagement. To meet these challenges blogging comes down to execution of marketing and editing. Marketing is a wide umbrella which covers market knowledge, topical research, rapid information funnels, effective social networks, and analytics. Successful web magazines hire proven authors who excel in all these areas, or specialize in a single role. These hired guns are able to rapidly spin a tale out of breaking news. Meatier content and thoughtful posts have a different audience than rapid fire coverage, or lighter opinion pieces. The best of the best understand their current topic's most fanatic fans and sing to their interests with artful wordcraft.
Social filters answer fluctuating source quality and relevance
*= I look forward to track in Superfeedr and Datasift's alerts to automate and tune this process.
For you hacker types avoiding the mode swap between seeking news and consuming posts is similar to the benefit of front and back end scripting in the same language. There's a thought tax to syntax switching.