Episode Transcript
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0:01
Ted Audio Collective. Welcome
0:16
back to TedHealth. It's your host, Dr.
0:18
Shoshana Ungerleiter. Have
0:20
you ever scratched your head at that super
0:23
specific ad on your social media feed and
0:25
thought, how the heck did
0:27
they know I was after that mini
0:29
avocado peeler? Well, it's
0:31
true. Tech companies and their algorithms have
0:34
kind of figured us out. But
0:36
global mental health researcher Sanderson Oni
0:39
thinks this can go beyond sponsored
0:41
content about kitchen tools or the
0:43
latest workout fad. In
0:46
his 2022 TEDx Sydney talk,
0:48
he dives into how tech might just
0:51
step up in our darkest moments. Imagine
0:54
if those sneaky algorithms shooting ads
0:56
our way could actually toss you
0:58
a lifeline if you're feeling hopeless.
1:02
This talk invites us to imagine
1:04
new and critical uses for this
1:06
everyday tech. And it
1:08
may just make you think twice about that next pop
1:10
up. This
1:12
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2:15
odoo.com. Sometimes
2:21
I'll be scrolling through my social media on my phone
2:24
and I'll get an ad. But
2:26
how on earth do they know that
2:28
sometimes I snore so loudly my brother
2:30
needs to wear earplugs the next room
2:32
over? I
2:35
think we're all familiar with this not-so-secret habit
2:37
of the tech industry, where they use these
2:39
complex algorithms to get to know who we
2:41
are, what we like, what we don't like.
2:43
Also, they can tailor ads to us and
2:45
sell us things. But
2:47
what if we could use this technology
2:50
for good? When
2:53
I was diagnosed with depression in 2015, I
2:57
had multiple intense suicidal
2:59
episodes. At
3:01
one point, it actually got so bad that
3:03
I spent the whole day planning out how
3:05
I would die later that evening. I
3:08
was probably less than an hour away from
3:10
ending my life when something saved me. What
3:13
was it? Someone reached
3:16
out. I now know
3:18
that I'm not alone, where in Australia,
3:20
suicide is the leading cause of death
3:22
for individuals aged between 15 to 44
3:24
years old. And
3:28
for every single suicide death,
3:31
there are 25 to 30 times
3:34
the number of attempts. Our
3:37
recent research has even shown us that
3:39
less than half of people who attempt
3:41
suicide will actually reach out for help
3:43
prior, meaning that if we
3:45
are to reach them, we need to meet
3:48
them where they are. I'm
3:50
now a researcher who tries to understand, how can we
3:52
do this? And the research
3:54
tells us that people, most
3:57
people who attempt suicide, or
3:59
even think of suicide, don't actually
4:02
want to die. In
4:05
fact, they're looking for any
4:07
reason to continue on living.
4:10
But what that tells us is that
4:12
any sort of interruption, whether
4:14
it's a tap on the shoulder, a
4:16
text message, or even an internet pop-up,
4:19
could potentially save someone's
4:22
life. So for me,
4:24
the question then becomes, how do we do this in
4:26
a better way? How can we
4:28
reach out in a more effective,
4:30
rapid and far-reaching manner? Well,
4:33
we have great hotlines and emergency
4:35
services in Australia, but they still
4:37
require the individual to take the
4:39
first step. But another
4:41
thing is, how on earth are we supposed
4:43
to know what a person's thinking or feeling
4:45
if they're not speaking up? One
4:48
way is through their
4:51
search behaviors. Because
4:53
you and I both know, we've
4:55
searched things up on the internet that
4:57
we would never ask another living soul.
5:02
Our struggles about suicide are no
5:04
exception. And the
5:06
research actually supports this. For example, in
5:08
one study, the investigators went up to
5:10
these individuals who had recently attempted suicide
5:12
and asked to see their anonymized search
5:14
history. And in fact,
5:16
these individuals had searched up keywords
5:19
pertaining to suicide means and
5:21
methodology, as well as surrounding hopelessness
5:23
and loneliness. Another finding
5:25
that supports this and has been
5:28
found in many different countries, for
5:30
example, in Japan, US and Taiwan,
5:33
is that the volume of internet
5:35
searches for suicide-related terms actually correlates
5:38
with the national suicide rate.
5:42
In a completely different field, they found
5:44
that us Australians, we spend about 40
5:46
hours a week on the internet. And
5:48
93% of the time,
5:50
it starts on a search page.
5:53
So could it be that the search page
5:55
be an ideal place to intervene? That's
5:58
why in many countries, including Australia, If
6:00
you search up suicide-related terms on the
6:02
internet, you'll see a hotline banner, which
6:04
is great, but the research
6:07
shows that not everybody on the verge of
6:09
taking their life wants to call a hotline.
6:11
It's not as easy as picking up a phone
6:14
and calling. Internationally, many
6:16
countries still don't have a
6:18
sustainable hotline, and even
6:20
in Australia, if you put in a
6:22
combination of keywords in the search bar,
6:24
you're not going to be shown the
6:26
hotline banner, but you're going to
6:28
get information that might actually aid a suicide
6:31
attempt. So
6:33
what if we could use the
6:35
same algorithms that these tech companies use to
6:37
tailor ads to us to be able to
6:40
identify and reach out to individuals thinking of
6:42
suicide, and we use information,
6:44
their age, gender, language, and geography,
6:47
to do so in a
6:49
deeply personal and engaging way? So
6:52
what does this look like? Imagine Amy,
6:54
a 22-year-old girl living in Sydney.
6:57
She lives with her housemates, and despite
6:59
her cheerful demeanor, she's recently been having
7:02
thoughts of suicide. She's
7:04
tried talking to her family members, but
7:06
they haven't been particularly helpful, and
7:08
today she turned to the search page to find a
7:11
way to end it all. And
7:13
as he's searching, the algorithm triggers, and on
7:15
the very first line, she sees an ad
7:17
that leads her to a landing page. And
7:20
that landing page is designed to lead
7:22
her away from a suicide attempt. Now
7:26
on that page, she's not met with
7:28
overly fluffy language or with directives, you
7:31
have to do this, you have to
7:33
do that, but rather she's met with
7:35
stories of other people who've
7:38
been where she is, and after
7:40
hearing their stories, she finally decides
7:42
to seek help through one of
7:44
the many options available. We
7:47
work together with a group of people that have
7:49
thought of suicide, that have
7:51
attempted suicide, as well as lost
7:53
someone to suicide, where together we come up with
7:56
a list of keywords that people are likely to
7:58
search, we come up with what that is. the
8:00
ad is going to say, and we come up
8:02
with the look and feel of the landing page.
8:05
Now these ads and landing pages need
8:07
to be as engaging as possible. Why
8:10
is that? Because we don't
8:12
know if we're only minutes away
8:15
from an attempt. That's
8:17
why my team and I are using
8:20
extensive targeting, for example, age, language, gender,
8:22
and geography, to be able to reach
8:24
out to these individuals in a deeply
8:27
personal way where we can use the
8:29
tailoring to show different ads and landing
8:31
pages to different people. So
8:34
in Australia, for example, what
8:36
we found is that individuals who
8:39
are in their teens, perhaps, will
8:41
resonate, and different imagery and
8:43
different wording will resonate with them than say
8:45
somebody in their 40s or 50s. For
8:48
example, what we found is that the
8:50
younger generation actually really liked the calming
8:53
and distracting resources. They really
8:55
liked the breathing exercises. Whereas
8:57
the older generation, they don't want to
8:59
see any of that, and they prefer
9:01
direct, no nonsense, straight to the point,
9:03
language. So in Amy's case,
9:05
that's what she'll see. But
9:07
imagine Robert, a 55-year-old man living
9:10
in rural Queensland. Due
9:12
to the recent economic downturn, he's
9:14
been under a tremendous amount of
9:16
stress. And because he's
9:19
the breadwinner and the man of the
9:21
family, he feels that he cannot talk
9:23
to anyone, something we know
9:25
that is not true. And
9:29
so he turned to the search page to find
9:31
out what would happen to his life insurance policy
9:33
in the event of a suicide because he's still
9:35
thinking about his family. And
9:37
as he goes there, because his
9:39
age group indicated they want direct,
9:41
no-nonsense, problem-solving language, that's what he'll
9:43
be shown. And
9:46
on every single landing page, there's a welcome video.
9:48
And the person welcoming you to that
9:50
welcome video is somebody from your age group.
9:54
This is so that for every single
9:56
person in that dark time, they'll
9:58
be shown an ad and landing
10:00
page. tailored as closely as possible
10:02
to them. Now, we've
10:04
run this trial in Australia, and what did we
10:07
find? In just 19 days,
10:09
our campaign reached over
10:11
120,000 people surging
10:16
up distress and suicide-related
10:19
keywords. Now, when they're
10:21
on the page, we want them to consume content
10:23
that is likely to lead them away from
10:25
a suicide attempt and that
10:27
is gonna promote help-seeking. Now,
10:30
the industry standard for engagement is approximately
10:32
3%. That is 3% of
10:35
individuals who land on the page will
10:37
engage with the page in a meaningful
10:39
way. We found an engagement
10:41
rate of over 22%. That's
10:46
over seven times the industry average.
10:50
Suggesting there's a real need for this type of
10:52
intervention. Furthermore, we're also
10:54
developing pages for Aboriginal and
10:57
Torres Strait Islanders, as well as Mandarin-speaking
10:59
populations in Australia. Now, we're
11:01
doing this in several different countries
11:03
in several different ways. For example,
11:05
in Indonesia where I'm from, mental
11:07
health stigma is so bad that
11:09
your own family might put you
11:11
in a makeshift cage for
11:14
having a mental disorder. And
11:16
there are over 21 unique
11:18
regional dialects. Now, we're
11:21
using geographic targeting to show different
11:23
dialect pages to different locations. For
11:26
example, if you live in Samarang in
11:28
Central Java, you'll see the Atlantic page
11:30
in Bahasa Java. If you live
11:32
in Palembang, you're gonna see the page in
11:34
Bahasa Palembang. Now, our
11:36
pages are already being used in Kidul Mountain,
11:39
which is an area with some of
11:41
the highest suicide rates in the entire
11:44
country. And we're getting reports that it's
11:46
resonating really well with people. Why
11:48
is that? Because when you speak
11:51
the national language, you speak
11:53
to their minds. But when
11:55
you speak the regional language, the language
11:57
they spoke growing up, you speak to
11:59
them. their hearts. I'd
12:03
like to leave you with this. We
12:06
have an entire industry with
12:08
the technology, the data, and the means to reach
12:10
out to people who need it, rather
12:13
than just tailor ads to them and sell them things.
12:17
And this cannot replace the
12:19
role of relationships and communities, but
12:21
given that most people still don't
12:24
seek help prior to a suicide
12:26
attempt, this could play an
12:28
important piece of the puzzle in
12:30
making sure that every single
12:32
person in their dark
12:35
time is met with an
12:37
outstretched hand the same way someone saved
12:39
me, whether it's a tap on the
12:41
shoulder, a text message,
12:44
or even an internet ad. Thank
12:46
you. That's
13:06
it for today's episode. Thank you
13:08
so much for listening. This
13:10
episode was produced by Dan O'Donnell
13:12
and fact-checked by Vanessa Garcia Woodworth.
13:16
Special thanks to Maria Lajes, Grace
13:18
Rubenstein, Farrah Dae Grunge,
13:21
Jimmy Gutierrez, Anna Phelan, Michelle
13:23
Quint, and Colin Helms. I'm
13:26
Dr. Shoshana Ungerleiter. I'll talk to you again
13:28
next week.
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