LabRdr’s approach to offline news reading is experimental, and different from existing offline news apps in a few ways: Rather than give you all current stories on every topic, it delivers only a self-contained package of Guardian articles keyed to your interests, twice a day just in time for your commute, at times you can specify. As you use it, it learns what you like to read and delivers you content keyed to your interests. (We’re setting aside important conversations about filter bubbles for now to learn something about personalization.) In addition, we show you how we use the data you share with us, in an effort to enhance trust through transparency… What we’re looking to learn What makes a good content recommendation system for news? A lot of the existing work about content recommendations are around e-commerce and we’re interested in what signals are particularly good for news organizations and news reading. We’re also looking to gauge readers’ reactions to the utility of having a short package of news defined for them for a set period of time. Without the option to read a full spectrum of articles on many topics, will they feel better informed with those they do read, or have a sense of achievement at completing a few articles in a set? As with all our experiments, we’ll report on what we learn in follow-up posts after the app has been running for a while and we’ve collected and analyzed data and reactions.LabRdr isn’t the first attempt at improving offline news. Way back in 2012, reading apps News.me and Instapaper both endeavored to serve the offline reader and relied on location to do so, but News.me didn’t survive a Twitter API update. Other apps like Pocket or Evernote require the readers themselves to do the legwork of saving the content for later perusing, rather than having relevant material presented to them. Another difference is that the Mobile Lab is making an effort to share the data it collects through LabRdr. In a section of the app called the Log, you can view the tracked reading and commute patterns. “The app is a really good first step for gathering information, using it in a respectful way, and seeing how people feel about that,” said Sarah Schmalbach, co-leader of the Mobile Lab with Koren and its senior product manager. She pointed out that readers might feel different about sharing personal information with a news organization than they do about sharing it with, say, Google Maps or Amazon. “If we can deliver news in more contextually relevant moments, then [will] that content be more valuable to the user?” wondered Connor Jennings, the app’s developer, who came up with the idea during his own frustrating experience reading offline news during his commute. The team hopes to share its findings about reader trust, habit formation, and more with news organizations; the Mobile Lab is funded by the Knight Foundation (disclosure: Nieman Lab also receives funding from Knight) to explore solutions for the mobile news experience. But its sample will likely be restricted to those who commute using public transit, rather than people who drive, bike, or walk to work. “It’s pretty narrow. We’re not targeting people who don’t commute; we’re not targeting people who commute by car. There’s a whole range of people we’re not gearing this toward,” Koren acknowledged. LabRdr provides a “targeted product until we get better and deeper insights,” Schmalbach said. “We’re confident that the audience is big enough to get a big read on this content.” Like the Mobile Lab’s other experiments — such as real-time Guardian commentary on a U.S. presidential debate via push alert; live push notifications with the Wall Street Journal — LabRdr is a temporary project. It will be removed from the App Store (it’s iPhone-only) after a couple of months.
2/ It’s designed with a mass transit commuter in mind, who has little to no cell or wifi and limited time to read. — Guardian Mobile Lab (@GdnMobileLab) October 25, 2017
3/ Users get alerted to 'packages' of Guardian articles twice a day at times they determine. The packages geared to length of commute. — Guardian Mobile Lab (@GdnMobileLab) October 25, 2017
4/ Packages will be customized over time, using topical interests for recommendations at first; possibly location & commute patterns later. — Guardian Mobile Lab (@GdnMobileLab) October 25, 2017
5/ We’re also experimenting with alerts based on user’s location, and offering transparency into what data we’re collecting. — Guardian Mobile Lab (@GdnMobileLab) October 25, 2017
7/ If you’re an iPhone user – and don’t commute behind a steering wheel – give it a try and let us know what you think! /end/ — Guardian Mobile Lab (@GdnMobileLab) October 25, 2017