Big Questions Around Facebook’s Suicide-Prevention Tools

Mental health researchers wonder if the social network’s intervention techniques will be effective.

Facebook Live will offer help if a viewer reports that a broadcaster seems to show suicidal or self-harming behavior.

It’s been almost a year since the general rollout of Facebook Live, which lets you broadcast live video to followers, and in that time several people have killed themselves while sharing video of themselves—including a 14-year-old Florida girl who hanged herself in a bathroom in a foster home in January.

Facebook wants to avoid these tragedies, and on Wednesday it rolled out a handful of tools that it thinks may help. These include allowing viewers to report friends who are broadcasting via Facebook Live that appear to be veering toward self-injury or a suicide attempt; the broadcaster will then see a message—while still shooting the live video—that offers resources like the opportunity to contact a help line or talk with a friend. These are the same kinds of tools Facebook already offers to users when a friend on the site reports one of their status updates for similar concerns.

Can such an intervention be helpful, though? Joe Franklin, an assistant professor at Florida State University who runs the school’s Technology and Psychopathology Lab, says it’s a move in the right direction, but there’s no great scientific evidence that such things are particularly helpful.

“I don’t think it’s a bad thing and I think we should study it,” he says. “But I would immediately have questions—I would not assume it would be effective.”

Willa Casstevens, an associate professor at North Carolina State University whose work includes studying suicide prevention, is hopeful that such intervention might be positively received by younger people in particular, since they’re used to interacting via social media.

“In the moment, a caring hand reached out can move mountains and work miracles,” she says. “The question would then be if they would still be in a position to take advantage of it.”

Facebook also said Wednesday that it’s testing the use of pattern recognition to figure out when a post may contain suicidal thoughts. A flagged post can then be reviewed by the site’s community operations team, which can decide whether to reach out to the person who wrote it.

Franklin, whose research includes studying how machine learning can mine health records to determine a person’s risk of attempting suicide, sees this kind of method as the future of spotting suicidal behavior, particularly because it is so easy to scale (and, he thinks, can be more accurate than reports from other people). But in his work he’s found that people often use words like “suicide” or phrases like “kill myself” colloquially, and it’s hard for algorithms to do a good job of distinguishing that from situations where someone really means it.

Still, he says, “it’s a great step forward in terms of trying to identify people who are thinking about or considering suicide.”

Tech Obsessive?
Become an Insider to get the story behind the story — and before anyone else.

Subscribe today

Uh oh–you've read all of your free articles for this month.

Insider Premium
$179.95/yr US PRICE

Next in Top Stories

Your guide to what matters today

Want more award-winning journalism? Subscribe to Insider Plus.
  • Insider Plus {! !}*

    {! insider.display.menuOptionsLabel !}

    Everything included in Insider Basic, plus ad-free web experience, select discounts to partner offerings and MIT Technology Review events

    See details+

    What's Included

    Bimonthly home delivery and unlimited 24/7 access to MIT Technology Review’s website.

    The Download. Our daily newsletter of what's important in technology and innovation.

    Access to the Magazine archive. Over 24,000 articles going back to 1899 at your fingertips.

    Special Discounts to select partner offerings

    Discount to MIT Technology Review events

    Ad-free web experience

You've read all of your free articles this month. This is your last free article this month. You've read of free articles this month. or  for unlimited online access.