Media stories for Tuesday:
John Paton, the CEO of Digital First Media, explains his company's approach to what he calls the Subscription Project, aka a paywall, and it has some differences from most. Its link to a Google survey delivers more information back to the company and clearly identifies some opportunities for relevant advertising. He isn't convinced paywalls are anything more than tweaking, but he is trying variations on for size. Matthew Ingram, writing for PaidContent, has a look at his look.
Meena Thiruvengadam, in a contribution to the Poynter Institute site, provides a tip sheet on how to create explanatory journalism, specifically how to identify and report them.
Hamish McKenzie, writing for PandoDaily, adds his support to efforts by The Verge and Huffington Post to "attempt the impossible" and make online comment sections smarter. Both organizations have introduced separate pages that curate the perceived best of the litter. "So far, comments --- despite, and because of, their abundance --- have failed to live up to their potential . . .But thanks to machine learning, semantic analysis, design tricks, and a heavier curatorial hand, 2013 might just be the year when user-generated content on media sites finally gets smart."
John Paton, the CEO of Digital First Media, explains his company's approach to what he calls the Subscription Project, aka a paywall, and it has some differences from most. Its link to a Google survey delivers more information back to the company and clearly identifies some opportunities for relevant advertising. He isn't convinced paywalls are anything more than tweaking, but he is trying variations on for size. Matthew Ingram, writing for PaidContent, has a look at his look.
Meena Thiruvengadam, in a contribution to the Poynter Institute site, provides a tip sheet on how to create explanatory journalism, specifically how to identify and report them.
Hamish McKenzie, writing for PandoDaily, adds his support to efforts by The Verge and Huffington Post to "attempt the impossible" and make online comment sections smarter. Both organizations have introduced separate pages that curate the perceived best of the litter. "So far, comments --- despite, and because of, their abundance --- have failed to live up to their potential . . .But thanks to machine learning, semantic analysis, design tricks, and a heavier curatorial hand, 2013 might just be the year when user-generated content on media sites finally gets smart."
