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The Great Hack
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The Great Hack

2019
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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.

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More About The Great Hack

They took your data. Then they took control.

Directed by Karim Amer.

Starring:
Brittany KaiserDavid CarrollPaul-Olivier DehayeRavi NaikJulian Wheatland

Spoken languages: English. Produced in: United States of America.

View on IMDb

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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