What makes something go viral? | Dao Nguyen

295,332 views ・ 2018-01-08

TED


Please double-click on the English subtitles below to play the video.

00:12
Last year, some BuzzFeed employees were scheming
0
12841
3569
00:16
to prank their boss, Ze Frank,
1
16434
2330
00:19
on his birthday.
2
19415
1242
00:21
They decided to put a family of baby goats in his office.
3
21319
4204
00:25
(Laughter)
4
25547
1405
00:26
Now, BuzzFeed had recently signed on to the Facebook Live experiment,
5
26976
4421
00:31
and so naturally,
6
31421
1371
00:32
we decided to livestream the whole event on the internet
7
32816
3882
00:36
to capture the moment when Ze would walk in
8
36722
3300
00:40
and discover livestock in his office.
9
40046
2962
00:44
We thought the whole thing would last maybe 10 minutes,
10
44019
3164
00:47
and a few hundred company employees would log in for the inside joke.
11
47207
4524
00:52
But what happened?
12
52132
1263
00:53
Ze kept on getting delayed:
13
53977
1718
00:55
he went to get a drink,
14
55719
1486
00:57
he was called to a meeting,
15
57229
1448
00:58
the meeting ran long,
16
58701
1743
01:00
he went to the bathroom.
17
60468
1165
01:01
More and more people started logging in to watch the goats.
18
61657
4220
01:06
By the time Ze walked in more than 30 minutes later,
19
66493
4013
01:10
90,000 viewers were watching the livestream.
20
70530
5106
01:16
Now, our team had a lot of discussion about this video
21
76601
3957
01:20
and why it was so successful.
22
80582
1976
01:22
It wasn't the biggest live video that we had done to date.
23
82582
2876
01:25
The biggest one that we had done involved a fountain of cheese.
24
85482
3642
01:30
But it performed so much better than we had expected.
25
90063
3825
01:33
What was it about the goats in the office that we didn't anticipate?
26
93912
4263
01:38
Now, a reasonable person could have any number of hypotheses.
27
98781
4058
01:42
Maybe people love baby animals.
28
102863
2418
01:45
Maybe people love office pranks.
29
105751
1724
01:47
Maybe people love stories about their bosses
30
107499
2745
01:50
or birthday surprises.
31
110268
1533
01:52
But our team wasn't really thinking about what the video was about.
32
112382
3700
01:56
We were thinking about
33
116106
1272
01:57
what the people watching the video were thinking and feeling.
34
117402
4076
02:01
We read some of the 82,000 comments that were made during the video,
35
121502
4783
02:06
and we hypothesized that they were excited
36
126309
3792
02:10
because they were participating in the shared anticipation
37
130125
3174
02:13
of something that was about to happen.
38
133323
2730
02:16
They were part of a community, just for an instant,
39
136077
3212
02:19
and it made them happy.
40
139313
1353
02:21
So we decided that we needed to test this hypothesis.
41
141102
3344
02:24
What could we do to test this very same thing?
42
144793
3482
02:28
The following week,
43
148995
1391
02:30
armed with the additional knowledge that food videos are very popular,
44
150410
4675
02:35
we dressed two people in hazmat suits
45
155109
3571
02:38
and wrapped rubber bands around a watermelon until it exploded.
46
158704
4261
02:42
(Laughter)
47
162989
1581
02:44
Eight hundred thousand people watched
48
164889
3372
02:48
the 690th rubber band explode the watermelon,
49
168285
4031
02:52
marking it as the biggest Facebook Live event to date.
50
172340
3453
02:56
The question I get most frequently is:
51
176483
2610
02:59
How do you make something go viral?
52
179117
1833
03:01
The question itself is misplaced;
53
181713
2206
03:03
it's not about the something.
54
183943
1693
03:05
It's about what the people doing the something,
55
185660
3297
03:08
reading or watching --
56
188981
1203
03:10
what are they thinking?
57
190208
1280
03:11
Now, most media companies, when they think about metadata,
58
191841
3346
03:15
they think about subjects or formats.
59
195211
2383
03:18
It's about goats,
60
198412
1150
03:19
it's about office pranks,
61
199586
1776
03:21
it's about food,
62
201386
1297
03:22
it's a list or a video or a quiz,
63
202707
1854
03:24
it's 2,000 words long,
64
204585
1259
03:25
it's 15 minutes long,
65
205868
1153
03:27
it has 23 embedded tweets or 15 images.
66
207045
3122
03:30
Now, that kind of metadata is mildly interesting,
67
210191
3012
03:33
but it doesn't actually get at what really matters.
68
213227
2966
03:36
What if, instead of tagging what articles or videos are about,
69
216217
4158
03:40
what if we asked:
70
220399
1190
03:41
How is it helping our users do a real job in their lives?
71
221613
3553
03:46
Last year, we started a project
72
226173
2820
03:49
to formally categorize our content in this way.
73
229017
2932
03:51
We called it, "cultural cartography."
74
231973
2747
03:55
It formalized an informal practice that we've had for a really long time:
75
235720
4002
03:59
don't just think about the subject matter;
76
239746
2226
04:01
think also about, and in fact, primarily about,
77
241996
3168
04:05
the job that your content is doing for the reader or the viewer.
78
245188
3739
04:09
Let me show you the map that we have today.
79
249450
2506
04:11
Each bubble is a specific job,
80
251980
2842
04:14
and each group of bubbles in a specific color are related jobs.
81
254846
4770
04:19
First up: humor.
82
259640
1478
04:21
"Makes me laugh."
83
261918
1161
04:23
There are so many ways to make somebody laugh.
84
263103
2788
04:25
You can be laughing at someone,
85
265915
1517
04:27
you could laugh at specific internet humor,
86
267456
2155
04:29
you could be laughing at some good, clean, inoffensive dad jokes.
87
269635
3392
04:33
"This is me." Identity.
88
273706
2300
04:36
People are increasingly using media to explain, "This is who I am.
89
276030
3808
04:39
This is my upbringing, this is my culture,
90
279862
2199
04:42
this is my fandom, this is my guilty pleasure,
91
282085
2338
04:44
and this is how I laugh about myself."
92
284447
2183
04:48
"Helps me connect with another person."
93
288600
1882
04:50
This is one of the greatest gifts of the internet.
94
290506
2411
04:52
It's amazing when you find a piece of media
95
292941
2191
04:55
that precisely describes your bond with someone.
96
295156
2532
04:59
This is the group of jobs that helps me do something --
97
299020
2598
05:01
helps me settle an argument,
98
301642
1377
05:03
helps me learn something about myself or another person,
99
303043
2673
05:05
or helps me explain my story.
100
305740
1856
05:07
This is the group of jobs that makes me feel something --
101
307620
2689
05:10
makes me curious or sad or restores my faith in humanity.
102
310333
3157
05:13
Many media companies and creators do put themselves
103
313514
3719
05:17
in their audiences' shoes.
104
317257
1468
05:18
But in the age of social media, we can go much farther.
105
318749
2704
05:22
People are connected to each other on Facebook, on Twitter,
106
322056
4062
05:26
and they're increasingly using media to have a conversation
107
326142
4263
05:30
and to talk to each other.
108
330429
1454
05:31
If we can be a part of establishing a deeper connection between two people,
109
331907
5836
05:37
then we will have done a real job for these people.
110
337767
3189
05:41
Let me give you some examples of how this plays out.
111
341394
2589
05:44
This is one of my favorite lists:
112
344578
1891
05:46
"32 Memes You Should Send Your Sister Immediately" --
113
346493
3303
05:49
immediately.
114
349820
1302
05:51
For example, "When you're going through your sister's stuff,
115
351583
3104
05:54
and you hear her coming up the stairs."
116
354711
1979
05:56
Absolutely, I've done that.
117
356714
1790
05:58
"Watching your sister get in trouble for something that you did
118
358528
3155
06:01
and blamed on her."
119
361707
1192
06:02
Yes, I've done that as well.
120
362923
1608
06:04
This list got three million views.
121
364555
1799
06:06
Why is that?
122
366378
1165
06:07
Because it did, very well, several jobs:
123
367567
2976
06:10
"This is us."
124
370567
1520
06:12
"Connect with family."
125
372111
1265
06:13
"Makes me laugh."
126
373400
1181
06:14
Here are some of the thousands and thousands of comments
127
374605
3134
06:17
that sisters sent to each other using this list.
128
377763
2849
06:21
Sometimes we discover what jobs do after the fact.
129
381508
3511
06:25
This quiz, "Pick an Outfit and We'll Guess Your Exact Age and Height,"
130
385592
5138
06:30
went very viral: 10 million views.
131
390754
2063
06:32
Ten million views.
132
392841
1176
06:34
I mean -- did we actually determine the exact age and height
133
394041
4526
06:38
of 10 million people?
134
398591
1584
06:40
That's incredible. It's incredible.
135
400199
2262
06:42
In fact, we didn't.
136
402485
1244
06:43
(Laughter)
137
403753
1129
06:44
Turns out that this quiz went extremely viral
138
404906
4093
06:49
among a group of 55-and-up women --
139
409023
3563
06:52
(Laughter)
140
412610
1172
06:53
who were surprised and delighted
141
413806
3649
06:57
that BuzzFeed determined that they were 28 and 5'9".
142
417479
5718
07:03
(Laughter)
143
423221
1610
07:04
"They put me at 34 years younger and seven inches taller.
144
424855
3208
07:08
I dress for comfort and do not give a damn what anyone says.
145
428087
2948
07:11
Age is a state of mind."
146
431059
1779
07:12
This quiz was successful not because it was accurate,
147
432862
3050
07:15
but because it allowed these ladies to do a very important job --
148
435936
4054
07:20
the humblebrag.
149
440014
1204
07:22
Now, we can even apply this framework to recipes and food.
150
442478
4983
07:27
A recipe's normal job is to tell you what to make for dinner or for lunch.
151
447887
5573
07:34
And this is how you would normally brainstorm for a recipe:
152
454205
3408
07:37
you figure out what ingredients you want to use,
153
457637
2323
07:39
what recipe that makes,
154
459984
1168
07:41
and then maybe you slap a job on at the end to sell it.
155
461176
3245
07:44
But what if we flipped it around and thought about the job first?
156
464445
4367
07:49
One brainstorming session involved the job of bonding.
157
469730
4665
07:54
So, could we make a recipe that brought people together?
158
474976
4300
07:59
This is not a normal brainstorming process at a food publisher.
159
479300
4421
08:05
So we know that people like to bake together,
160
485532
2715
08:08
and we know that people like to do challenges together,
161
488271
3285
08:11
so we decided to come up with a recipe that involved those two things,
162
491580
4733
08:16
and we challenged ourselves:
163
496337
1911
08:18
Could we get people to say,
164
498272
1806
08:20
"Hey, BFF, let's see if we can do this together"?
165
500102
4086
08:24
The resulting video was the "Fudgiest Brownies Ever" video.
166
504807
3335
08:28
It was enormously successful in every metric possible --
167
508166
2924
08:31
70 million views.
168
511114
1364
08:32
And people said the exact things that we were going after:
169
512935
3700
08:36
"Hey, Colette, we need to make these, are you up for a challenge?"
170
516659
3100
08:39
"Game on."
171
519783
1153
08:40
It did the job that it set out to do,
172
520960
2270
08:43
which was to bring people together over baking and chocolate.
173
523254
4116
08:49
I'm really excited about the potential for this project.
174
529294
3924
08:53
When we talk about this framework with our content creators,
175
533242
3142
08:56
they instantly get it,
176
536408
1165
08:57
no matter what beat they cover, what country they’re in,
177
537597
2733
09:00
or what language they speak.
178
540354
1365
09:01
So cultural cartography has helped us massively scale our workforce training.
179
541743
4377
09:06
When we talk about this project and this framework
180
546621
3650
09:10
with advertisers and brands,
181
550295
1372
09:11
they also instantly get it,
182
551691
1578
09:13
because advertisers, more often than media companies,
183
553293
5626
09:18
understand how important it is to understand the job
184
558943
3522
09:22
that their products are doing for customers.
185
562489
2446
09:26
But the reason I'm the most excited about this project
186
566580
3743
09:30
is because it changes the relationship between media and data.
187
570347
3871
09:35
Most media companies think of media as "mine."
188
575051
3434
09:39
How many fans do I have?
189
579547
1207
09:40
How many followers have I gained?
190
580778
1597
09:42
How many views have I gotten?
191
582399
1707
09:44
How many unique IDs do I have in my data warehouse?
192
584130
2777
09:47
But that misses the true value of data, which is that it's yours.
193
587372
3948
09:53
If we can capture in data what really matters to you,
194
593166
6098
09:59
and if we can understand more the role that our work plays
195
599288
4488
10:03
in your actual life,
196
603800
1389
10:05
the better content we can create for you,
197
605213
2863
10:08
and the better that we can reach you.
198
608100
1857
10:10
Who are you?
199
610760
1275
10:13
How did you get there?
200
613293
1580
10:14
Where are you going?
201
614897
1209
10:16
What do you care about?
202
616130
1269
10:17
What can you teach us?
203
617423
1379
10:19
That's cultural cartography.
204
619151
1460
10:21
Thank you.
205
621146
1156
10:22
(Applause)
206
622326
3380
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7