Samaritan's Radar

Scans your Twitter feed and alerts you to cries for help

Would you recommend this product?
No reviews yet
Just got my first notification, triggered by @spencerchen's enthusiasm for the SF Giants: "Suicide bunts!!" Samaritan's Radar might some refinement.
@rrhoover Ha, or they need a #WorldSeries filter.
Creative. Facebook would likely be a larger market and more fitting for something like this (since the graph is more connected to your friends and people you actually know). cc'ing @jordanwalker as this is relevant to Kindly.
@rrhoover True. But the limitations with the Facebook SDK might limit the app from doing that. If there's a way to pull it off, it would be brilliant.
@rrhoover @jordanwalker Agreed. In a similar vein, I see this kind of content on Secret/Whisper all the time, but a little harder to help out there unless the person really wants it.
@rrhoover Facebook already partners with Samaritans, see: I imagine the availability of Facebook's Safety team to filter things makes it easier for them, so they don't need to rely on friends alone.
@eddie good point, although I believe that if they're expressing themselves publicly (anonymously or otherwise), they're looking for help whether they know it or not. Side note: I included a very heartfelt Secret I saw a while ago in this essay I wrote about empathy in technology. @radiofreejohn nice, I didn't know that.
@rrhoover Yes! I read about this the other day. Could be a huge step in the right direction if their radar is accurate more often than not. I'd love to use their tech, not to alert friends but to present users with crisis hotline info. We haven't had too many critical instances yet, but still trying to figure out the ultimate solution to lead people in need to the right resources..
I love the idea behind this since I'm all for any sort of interaction between technology and social good. Until they improve their semantic analysis, they're going to be generating LOTS of false positives, potentially to the point that it will turn off users. If they're targeting millenials, they'd need to understand txt spk, sarcasm, humor, etc. Searching just for keywords won't tell the difference between "I'm depressed, I need help" and "I'm so depressed my Seamless order hasn't arrived yet #firstworldproblems". Reminds me of early days of social media listening where I'd caution customers on limits of sentiment analysis. If I'm running a fever, I might say "I feel sick" (negative) but if I'm a gamer and I say "GTA 5 is sick!!" then it's positive.