Quite a bit of reporting has become thinly veiled rewrites of press releases, what could be improved by an algorithm that actually had background context and a consistent model for a type of story like a simple preview of a coming game?
The amount of statistics in reporting that lacks any context for the numbers spewed out? Why couldn't a machine do a better job in enforcing context for the numbers?
For example -- "there is a %50 murder increase in the first six months of this year" (common problem with human reporting) vs "there is %50 murder increase from 2 in the first six months of last year to 3 in the first six months of this year, this is down from 20 in the previous year" (an algorithm that automatically enforces context)?
I realize this is a complex topic but wow the average ;) news story is soooo bad that...