Data—arguably the world’s most valuable asset—is being weaponized to wage cultural and political wars. The dark world of data exploitation is uncovered through the unpredictable, personal journeys of players on different sides of the explosive Cambridge Analytica/Facebook data story.
The Great Hack is a Documentary film released in 2019.
6 subtitle releases available in English. 1 release includes Hearing Impaired (HI) subtitles.
Movie Dialogue Sample
Exactly.
563
00:40:30,386 --> 00:40:33,013
The reality is that Facebook knows more
about this
564
00:40:33,097 --> 00:40:34,974
than pretty much anyone in the world
565
00:40:35,057 --> 00:40:39,937
because Facebook is the best platform
on which to run experiments.
566
00:40:40,020 --> 00:40:41,939
-Yeah, it is. Um, it...
567
00:40:42,022 --> 00:40:44,525
And it actually always gets you
the best engagement rates.
568
00:40:44,608 --> 00:40:46,735
We always spend the majority
amount of money
569
00:40:46,819 --> 00:40:49,613
on any commercial
or political campaign in Facebook.
570
00:40:50,156 --> 00:40:51,866
Always gets the majority of the ad budget.
571
00:40:51,949 --> 00:40:53,617
-It does, it does.
-Yep.
572
00:40:55,411 --> 00:40:58,956
There is at least the possibility
that the American public
573
00:40:59,039 --> 00:41:01,876
and publics in other countries
have been experimented on.
574
00:41:07,423 --> 00:41:09,425
<i> Remember those Facebook quizzes</i>
<i>that we used</i>
575
00:41:09,508 --> 00:41:12,678
<i>to form personality models</i>
<i>for all voters in the US?</i>
576
00:41:15,556 --> 00:41:19,351
<i>The truth is, we didn't target</i>
<i>every American voter equally.</i>
577
00:41:20,519 --> 00:41:22,396
<i>The bulk of our resources</i>
578
00:41:22,480 --> 00:41:26,108
<i>went into targeting those</i>
<i>whose minds we thought we could change.</i>
579
00:41:26,901 --> 00:41:29,028
<i>We called them "the persuadables."</i>
580
00:41:31,238 --> 00:41:32,907
<i>They're everywhere in the country,</i>
581
00:41:32,990 --> 00:41:36,619
<i>but the persuadables that mattered</i>
<i>were the ones in swing states</i>
582
00:41:36,702 --> 00:41:40,873
<i>like Michigan, Wisconsin,</i>
<i>Pennsylvania, and Florida.</i>
583
00:41:44,001 --> 00:41:47,922
<i>Now, each of these states were broken down</i>
<i>by precinct.</i>
584
00:41:49,215 --> 00:41:53,093
<i>So, you can say</i>
<i>there are 22,000 persuadable voters</i>
585
00:41:53,302 --> 00:41:54,845
<i>in this precinct,</i>
586
00:41:55,971 --> 00:41:59,725
<i>and if we target enough persuadable people</i>
<i>in the right precincts,</i>
587
00:41:59,850 --> 00:42:03,479
<i>then those states would turn red</i>
<i>instead of blue.</i>
588
00:42:04,980 --> 00:42:07,942
<i>Our creative team designed</i>
<i>personalized content</i>
589
00:42:08,025 --> 00:42:09,693
<i>to trigger those individuals.</i>
590
00:42:09,777 --> 00:42:12,029
<i>Terrorists love porous borders.</i>
591
00:42:12,112 --> 00:42:15,324
<i>Widespread gaps</i>
<i>in border security allow terrorists...</i>
592
00:42:15,407 --> 00:42:19,745
<i>We bombarded them through blogs,</i>
<i>websites, articles, videos, ads,</i>
593
00:42:19,828 --> 00:42:21,664
<i>every platform you can imagine.</i>
594
00:42:22,122 --> 00:42:24,959
<i>Until they saw the world</i>
<i>the way we wanted them to.</i>
595
00:42:29,296 --> 00:42:31,590
<i>Until they voted</i>
<i>for our candidate.</i>
596
00:42:33,384 --> 00:42:35,010
<i>It's like a boomerang.</i>
597
00:42:35,553 --> 00:42:37,137
<i>You send your data out,</i>
598
00:42:38,138 --> 00:42:39,807
<i>it gets analyzed,</i>
599
00:42:40,224 --> 00:42:43,727
<i>and it comes back at you</i>
<i>as targeted messaging</i>
600
00:42:44,311 --> 00:42:46,146
<i>to change your behavior.</i>
601
00:43:02,454 --> 00:43:05,374
DCMS Committee announced
the future witnesses
602
00:43:05,457 --> 00:43:07,209
-for a fake news inquiry.
-Yes.
603
00:43:07,668 --> 00:43:09,712
-There you are. You're--
-Me.
604
00:43:09,795 --> 00:43:13,090
- You're the day before Alexander.
- The former CEO.
605
00:43:13,966 --> 00:43:15,634
He's going the day after me.
606
00:43:16,844 --> 00:43:19,847
Yes. Is it-- Is it all feeling a bit real?
607
00:43:19,930 --> 00:43:21,557
It's really intense.
608
00:43:22,266 --> 00:43:23,642
- It's real.
609
00:43:23,976 --> 00:43:26,437
-And it's big.
610
00:43:39,533 --> 00:43:42,578
<i>The first time</i>
<i>I wrote about Cambridge Analytica,</i>
611
00:43:43,037 --> 00:43:45,497
<i>it was December 2016.</i>
612
00:43:47,291 --> 00:43:49,501
<i>I said that they'd worked</i>
<i>for the Trump campaign</i>
613
00:43:49,585 --> 00:43:51,587
<i>and for the Brexit campaign.</i>
614
00:43:54,465 --> 00:43:56,300
<i>And I started getting letters</i>
<i>from them saying,</i>
615
00:43:56,383 --> 00:43:58,218
<i>"We never worked for the Leave campaign."</i>
616
00:44:02,097 --> 00:44:04,725
<i>And this was baffling</i>
<i>because on Leave.EU's website,</i>
617
00:44:04,808 --> 00:44:07,019
<i>it said, "We hired Cambridge Analytica."</i>
618
00:44:08,896 --> 00:44:11,482
<i>There were statements from Alexander Nix</i>
<i>about how they worked</i>
619
00:44:11,565 --> 00:44:12,650
<i>for the Leave campaign.</i>
620
00:44:13,484 --> 00:44:17,112
Yeah, I'm a
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