On the latest Under the Radar podcast, Marco Arment and David Smith talk about ways to make your app more robust. That includes tips for scaling your app with a lot of data, and also dealing with potentially hostile user data. It’s that last point that I’ve been thinking the most about lately.
With the experience of building Tumblr and Instapaper, Marco is clearly now hesitant to ship app features that accept arbitrary user-generated content, because a small indie company just doesn’t have the resources to deal with spam and abuse. Instead, he suggests outsourcing whenever possible. For example, letting Apple accept and reject podcasts, and basing the Overcast podcast directory search on that already-vetted list.
Let’s say you’re building a Twitter-like service. As we all know, hate is widespread on Twitter. At times, it seems impossible to even have a G-rated Twitter experience. But the problem is less that users can publish terrible tweets, and more that it is so easy to be exposed to those tweets with search, trending topics, retweets, and replies.
As I work on my microblogging project, I’m trying to be aware of these points in the platform where bad content can leak out. So I don’t have global search or trending topics. I also don’t make it easy to stumble upon random users. But I do have replies, which by default will currently go out as push notifications if you have the iPhone app installed. It’s that area that I should focus my attention.
Two options that come to mind for minimizing abuse in replies:
- Don’t allow replies from people you aren’t following. This solves the problem, but it comes at the expense of discussion. It removes the accessibility that many people love about Twitter’s asynchronous following model.
- Quarantine or attempt to classify replies so they don’t bubble up in your timeline or as notifications by default. This would be like an over-aggressive email spam filter. Difficult to get right and possibly routed around by clever microbloggers.
After listening to Marco and David, and reviewing the full scope of what I’ve been trying to build, I’m pretty concerned about this. I’m looking at Akismet, and other metrics internal to my app for judging content and suspicious user accounts, but I may be a little in over my head on this issue.
✴️ Also on Micro.blog