
To reach a new audience on Facebook, increase engagement on their site and ultimately grow their base of readers through Open Graph.
The Guardian built an app on Facebook to bring news, video and audio content to new and existing readers. The app gives each person a personalized experience by surfacing the stories their friends have been enjoying, as well as what’s most popular at any given time. The app publishes actions across a range of content: news articles, videos, and even podcasts. They carefully modeled their data by linking each article to the authors who wrote it, adding object properties for the article's section, subject tags and correctly specifying the publish date, allowing the team to generate more meaningful aggregations.
They also created lightweight actions 'agree' and 'disagree' for Opinion articles to enable people to share their sentiment on issues. The feature generates authentic debates and discussions amongst friends, resulting in more traffic to these articles.
The Guardian focused most of their design effort on article pages (where the vast majority of app traffic lands), rather than on the app homepage. Article pages were designed to give social context about the friends who've read the article using the Facepile plugin, and help people find more Guardian content their friends had read through the Activity Feed plugin. They implemented the following Open Graph actions and objects:
In addition to the default built-in aggregations for read and watch, the Guardian also created a Top Authors aggregation - which highlights a person's most read Guardian journalists - by adding the Author URL property to their article objects.
Finally, the Guardian drives adoption of their app by giving people the opportunity to install the app when clicking on a Guardian link in the news feed.

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