Gobo is a social media aggregator with filters you control. You can use Gobo to control what’s edited out of your feed, or configure it to include news and points of view from outside your usual orbit. Gobo aims to be completely transparent, showing you why each post was included in your feed and inviting you to explore what was filtered out by your current filter settings. Learn more and try it out on gobo.social.
To use Gobo, you link your Twitter and Facebook accounts to Gobo and choose a set of news publications that most closely resembles the news you follow online. Gobo retrieves recent posts from these social networks and lets you decide which ones you want to see. Want more posts from women? Adjust aslider to set the gender balance of your feed… or just click on the “mute all men” button and listen to the folks who often get shouted down in online dialogs. Want to broaden the perspectives in your feed? Move the politics slider from “my perspective” to “lots of perspectives” and Gobo introduces news stories from sources you might not otherwise find.
Gobo retrieves posts from people you follow on Twitter and Facebook and analyzes them using simple machine learning-based filters. You can set those filters – seriousness, rudeness, virality, gender and brands – to eliminate some posts from your feed. The “politics” slider works differently, “filtering in”, instead of “filtering out” – if you set the slider towards “lots of perspectives”, our “news echo” algorithm will start adding in posts from media outlets that you likely don’t read every day.
Gobo is a team effort I worked on together with Rahul Bhargava, Alexis Hope, Ethan Zuckerman and other talented people at the MIT Center for Civic Media with support from The Knight Foundation.
The robots are comming - Gobo coverage on Boston Magazine
Who Filters Your News? Why we built gobo.social - Blog post by Ethan Zuckerman