Bad news stories taken from /r/worldnews, /r/worldnews_uk and /r/news as identified by a sentiment analysis bot.
Also see /r/JustGoodNews
Binary classification sentiment analysis is now performed on linked page contents and submission title. If either title or page contents has a positivity <0.2 or their average is <0.3 the news is considered negative.
The GoodNewsBot is currently in Beta and it's results may be unreliable, but are typically 70-80% accurate.
Contact /u/_Timboss if you have any queries, ideas or suggestions, or you would like the bot to post to your subreddit.
Please upvote correctly classified "bad news" stories and downvote incorrectly classified ones, regardless of how you feel about the news story itself!
I'm hoping to use the highly upvoted and downvoted posts on here and /r/JustGoodNews as a training set for a new custom machine learning model which should help to improve the overall accuracy of classification. [Please get in contact if you have any experience training sentiment analysis models!]