Facebook fires human editors, algorithm immediately posts fake news(arstechnica.com)
arstechnica.com
Facebook fires human editors, algorithm immediately posts fake news
http://arstechnica.com/business/2016/08/facebook-fires-human-editors-algorithm-immediately-posts-fake-news/
7 comments
Maybe they should emphasize that it's merely a trending topic, like hashtags on Twitter. In some (well, many) cases, cutting a topic because it appears to be fake only fans the flame that there's a coverup of purportedly real news (because why would they bother to cover it up, as that logic goes).
Facebook explained that the new, non-human Trending module is
personalized "based on a number of factors, including Pages you’ve
liked, your location (e.g., home state sports news), the previous
trending topics with which you’ve interacted, and what is trending
across Facebook overall."
Why add more?
This article buries the fact tha there are still engineers looking at the algorithm's results and making sure they are "tied to a current news event in the real world". According to Facebook, the editors mainly wrote summaries of the stories.
Here's the original post: http://newsroom.fb.com/news/2016/08/search-fyi-an-update-to-...
Here's the original post: http://newsroom.fb.com/news/2016/08/search-fyi-an-update-to-...
That seems to be the way things are going today for automated news. Google News is posting a headline directly from snopes.com if you search "North Dakota". The headline is racist in the extreme.
I think some folks need to rethink what is an actual news site, but I expect the continued tweets about it being Facebook doing some payback to conservatives. This stuff is very touchy.
I think some folks need to rethink what is an actual news site, but I expect the continued tweets about it being Facebook doing some payback to conservatives. This stuff is very touchy.
Well, humans are many times fooled by fake or biased news. Some can be caught by simple verification or confrontation with other sources. Some require a deep research or specialized knowledge.
It's not easy to train an algorithm to outperform humans when complex context is required.
It's not easy to train an algorithm to outperform humans when complex context is required.
If they change the algorithm to filter out fake or biased news, they might alienate their user base.
[deleted]
The reality is that I am seeing a lot more tabloid-esque topics that seem like they might be relevant but are not once I click through.
Yesterday, a trending topic for me was #mcchicken which I thought oh maybe McDonald's released a new chicken sandwich or some type of food/health news. Instead, it was trending because some guy basically stuck his penis in a mcchicken sandwich and posted a video of it. Previously, I would have expected human editors to either deem this unnewsworthy or at least provide a better one word description than #mcchicken maybe like #guyhassexwithmcchicken.
Anyways, I'm sure it will get better over time but I am missing the old module. I thought the descriptions were succinct and well written.