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    Default Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    The Data That Turned the World Upside Down

    HG Hannes Grassegger and Mikael Krogerus
    Jan 28 2017, 4:15pm


    © Unknown

    Psychologist Michal Kosinski developed a method to analyze people in minute detail based on their Facebook activity. Did a similar tool help propel Donald Trump to victory? Two reporters from Zurich-based Das Magazin went data-gathering.​

    An earlier version of this story appeared in Das Magazin in December.

    On November 9 at around 8.30 AM., Michal Kosinski woke up in the Hotel Sunnehus in Zurich. The 34-year-old researcher had come to give a lecture at the Swiss Federal Institute of Technology (ETH) about the dangers of Big Data and the digital revolution. Kosinski gives regular lectures on this topic all over the world. He is a leading expert in psychometrics, a data-driven sub-branch of psychology. When he turned on the TV that morning, he saw that the bombshell had exploded: contrary to forecasts by all leading statisticians, Donald J. Trump had been elected president of the United States.

    For a long time, Kosinski watched the Trump victory celebrations and the results coming in from each state. He had a hunch that the outcome of the election might have something to do with his research. Finally, he took a deep breath and turned off the TV.

    On the same day, a then little-known British company based in London sent out a press release: "We are thrilled that our revolutionary approach to data-driven communication has played such an integral part in President-elect Trump's extraordinary win," Alexander James Ashburner Nix was quoted as saying. Nix is British, 41 years old, and CEO of Cambridge Analytica. He is always immaculately turned out in tailor-made suits and designer glasses, with his wavy blonde hair combed back from his forehead. His company wasn't just integral to Trump's online campaign, but to the UK's Brexit campaign as well.

    Of these three players—reflective Kosinski, carefully groomed Nix and grinning Trump—one of them enabled the digital revolution, one of them executed it and one of them benefited from it.

    How dangerous is big data?
    Anyone who has not spent the last five years living on another planet will be familiar with the term Big Data. Big Data means, in essence, that everything we do, both on and offline, leaves digital traces. Every purchase we make with our cards, every search we type into Google, every movement we make when our mobile phone is in our pocket, every "like" is stored. Especially every "like." For a long time, it was not entirely clear what use this data could have—except, perhaps, that we might find ads for high blood pressure remedies just after we've Googled "reduce blood pressure."

    On November 9, it became clear that maybe much more is possible. The company behind Trump's online campaign—the same company that had worked for Leave.EU in the very early stages of its "Brexit" campaign—was a Big Data company: Cambridge Analytica.

    To understand the outcome of the election—and how political communication might work in the future—we need to begin with a strange incident at Cambridge University in 2014, at Kosinski's Psychometrics Center.

    Psychometrics, sometimes also called psychographics, focuses on measuring psychological traits, such as personality. In the 1980s, two teams of psychologists developed a model that sought to assess human beings based on five personality traits, known as the "Big Five." These are: openness (how open you are to new experiences?), conscientiousness (how much of a perfectionist are you?), extroversion (how sociable are you?), agreeableness (how considerate and cooperative you are?) and neuroticism (are you easily upset?). Based on these dimensions—they are also known as OCEAN, an acronym for openness, conscientiousness, extroversion, agreeableness, neuroticism—we can make a relatively accurate assessment of the kind of person in front of us. This includes their needs and fears, and how they are likely to behave. The "Big Five" has become the standard technique of psychometrics. But for a long time, the problem with this approach was data collection, because it involved filling out a complicated, highly personal questionnaire. Then came the Internet. And Facebook. And Kosinski.

    Michal Kosinski was a student in Warsaw when his life took a new direction in 2008. He was accepted by Cambridge University to do his PhD at the Psychometrics Centre, one of the oldest institutions of this kind worldwide. Kosinski joined fellow student David Stillwell (now a lecturer at Judge Business School at the University of Cambridge) about a year after Stillwell had launched a little Facebook application in the days when the platform had not yet become the behemoth it is today. Their MyPersonality app enabled users to fill out different psychometric questionnaires, including a handful of psychological questions from the Big Five personality questionnaire ("I panic easily," "I contradict others"). Based on the evaluation, users received a "personality profile"—individual Big Five values—and could opt-in to share their Facebook profile data with the researchers.
    Quote Followers of Lady Gaga were most probably extroverts, while those who "liked" philosophy tended to be introverts.
    Kosinski had expected a few dozen college friends to fill in the questionnaire, but before long, hundreds, thousands, then millions of people had revealed their innermost convictions. Suddenly, the two doctoral candidates owned the largest dataset combining psychometric scores with Facebook profiles ever to be collected.

    The approach that Kosinski and his colleagues developed over the next few years was actually quite simple. First, they provided test subjects with a questionnaire in the form of an online quiz. From their responses, the psychologists calculated the personal Big Five values of respondents. Kosinski's team then compared the results with all sorts of other online data from the subjects: what they "liked," shared or posted on Facebook, or what gender, age, place of residence they specified, for example. This enabled the researchers to connect the dots and make correlations.

    Remarkably reliable deductions could be drawn from simple online actions. For example, men who "liked" the cosmetics brand MAC were slightly more likely to be gay; one of the best indicators for heterosexuality was "liking" Wu-Tang Clan. Followers of Lady Gaga were most probably extroverts, while those who "liked" philosophy tended to be introverts. While each piece of such information is too weak to produce a reliable prediction, when tens, hundreds, or thousands of individual data points are combined, the resulting predictions become really accurate.

    Kosinski and his team tirelessly refined their models. In 2012, Kosinski proved that on the basis of an average of 68 Facebook "likes" by a user, it was possible to predict their skin color (with 95 percent accuracy), their sexual orientation (88 percent accuracy), and their affiliation to the Democratic or Republican party (85 percent). But it didn't stop there. Intelligence, religious affiliation, as well as alcohol, cigarette and drug use, could all be determined. From the data it was even possible to deduce whether someone's parents were divorced.

    The strength of their modeling was illustrated by how well it could predict a subject's answers. Kosinski continued to work on the models incessantly: before long, he was able to evaluate a person better than the average work colleague, merely on the basis of ten Facebook "likes." Seventy "likes" were enough to outdo what a person's friends knew, 150 what their parents knew, and 300 "likes" what their partner knew. More "likes" could even surpass what a person thought they knew about themselves. On the day that Kosinski published these findings, he received two phone calls. The threat of a lawsuit and a job offer. Both from Facebook.


    Michal Kosinski. Courtesy of Kosinski

    Only weeks later Facebook "likes" became private by default. Before that, the default setting was that anyone on the internet could see your "likes." But this was no obstacle to data collectors: while Kosinski always asked for the consent of Facebook users, many apps and online quizzes today require access to private data as a precondition for taking personality tests. (Anybody who wants to evaluate themselves based on their Facebook "likes" can do so on Kosinski's website, and then compare their results to those of a classic Ocean questionnaire, like that of the Cambridge Psychometrics Center.)
    Quote Our smartphone, Kosinski concluded, is a vast psychological questionnaire that we are constantly filling out, both consciously and unconsciously.
    But it was not just about "likes" or even Facebook: Kosinski and his team could now ascribe Big Five values based purely on how many profile pictures a person has on Facebook, or how many contacts they have (a good indicator of extraversion). But we also reveal something about ourselves even when we're not online. For example, the motion sensor on our phone reveals how quickly we move and how far we travel (this correlates with emotional instability). Our smartphone, Kosinski concluded, is a vast psychological questionnaire that we are constantly filling out, both consciously and unconsciously.

    Above all, however—and this is key—it also works in reverse: not only can psychological profiles be created from your data, but your data can also be used the other way round to search for specific profiles: all anxious fathers, all angry introverts, for example—or maybe even all undecided Democrats? Essentially, what Kosinski had invented was sort of a people search engine. He started to recognize the potential—but also the inherent danger—of his work.

    To him, the internet had always seemed like a gift from heaven. What he really wanted was to give something back, to share. Data can be copied, so why shouldn't everyone benefit from it? It was the spirit of a whole generation, the beginning of a new era that transcended the limitations of the physical world. But what would happen, wondered Kosinski, if someone abused his people search engine to manipulate people? He began to add warnings to most of his scientific work. His approach, he warned, "could pose a threat to an individual's well-being, freedom, or even life." But no one seemed to grasp what he meant.

    Around this time, in early 2014, Kosinski was approached by a young assistant professor in the psychology department called Aleksandr Kogan. He said he was inquiring on behalf of a company that was interested in Kosinski's method, and wanted to access the MyPersonality database. Kogan wasn't at liberty to reveal for what purpose; he was bound to secrecy.

    At first, Kosinski and his team considered this offer, as it would mean a great deal of money for the institute, but then he hesitated. Finally, Kosinski remembers, Kogan revealed the name of the company: SCL, or Strategic Communication Laboratories. Kosinski Googled the company: "[We are] the premier election management agency," says the company's website. SCL provides marketing based on psychological modeling. One of its core focuses: Influencing elections. Influencing elections? Perturbed, Kosinski clicked through the pages. What kind of company was this? And what were these people planning?

    What Kosinski did not know at the time: SCL is the parent of a group of companies. Who exactly owns SCL and its diverse branches is unclear, thanks to a convoluted corporate structure, the type seen in the UK Companies House, the Panama Papers, and the Delaware company registry. Some of the SCL offshoots have been involved in elections from Ukraine to Nigeria, helped the Nepalese monarch against the rebels, whereas others have developed methods to influence Eastern European and Afghan citizens for NATO. And, in 2013, SCL spun off a new company to participate in US elections: Cambridge Analytica.

    Kosinski knew nothing about all this, but he had a bad feeling. "The whole thing started to stink," he recalls. On further investigation, he discovered that Aleksandr Kogan had secretly registered a company doing business with SCL. According to a December 2015 report in The Guardian and to internal company documents given to Das Magazin, it emerges that SCL learned about Kosinski's method from Kogan.

    Kosinski came to suspect that Kogan's company might have reproduced the Facebook "Likes"-based Big Five measurement tool in order to sell it to this election-influencing firm. He immediately broke off contact with Kogan and informed the director of the institute, sparking a complicated conflict within the university. The institute was worried about its reputation. Aleksandr Kogan then moved to Singapore, married, and changed his name to Dr. Spectre. Michal Kosinski finished his PhD, got a job offer from Stanford and moved to the US.

    Mr. Brexit
    All was quiet for about a year. Then, in November 2015, the more radical of the two Brexit campaigns, "Leave.EU," supported by Nigel Farage, announced that it had commissioned a Big Data company to support its online campaign: Cambridge Analytica. The company's core strength: innovative political marketing—microtargeting—by measuring people's personality from their digital footprints, based on the OCEAN model.
    Quote After the Brexit result, friends and acquaintances wrote to him: Just look at what you've done.
    Now Kosinski received emails asking what he had to do with it—the words Cambridge, personality, and analytics immediately made many people think of Kosinski. It was the first time he had heard of the company, which borrowed its name, it said, from its first employees, researchers from the university. Horrified, he looked at the website. Was his methodology being used on a grand scale for political purposes?

    After the Brexit result, friends and acquaintances wrote to him: Just look at what you've done. Everywhere he went, Kosinski had to explain that he had nothing to do with this company. (It remains unclear how deeply Cambridge Analytica was involved in the Brexit campaign. Cambridge Analytica would not discuss such questions.)

    For a few months, things are relatively quiet. Then, on September 19, 2016, just over a month before the US elections, the guitar riffs of Creedence Clearwater Revival's "Bad Moon Rising" fill the dark-blue hall of New York's Grand Hyatt hotel. The Concordia Summit is a kind of World Economic Forum in miniature. Decision-makers from all over the world have been invited, among them Swiss President Johann Schneider-Ammann. "Please welcome to the stage Alexander Nix, chief executive officer of Cambridge Analytica," a smooth female voice announces. A slim man in a dark suit walks onto the stage. A hush falls. Many in attendance know that this is Trump's new digital strategy man. (A video of the presentation was posted on YouTube.)

    A few weeks earlier, Trump had tweeted, somewhat cryptically, "Soon you'll be calling me Mr. Brexit." Political observers had indeed noticed some striking similarities between Trump's agenda and that of the right-wing Brexit movement. But few had noticed the connection with Trump's recent hiring of a marketing company named Cambridge Analytica.


    Alexander Nix. Image: Cambridge Analytica
    "Pretty much every message that Trump put out was data-driven," says Cambridge Analytica CEO Alexander Nix
    Up to this point, Trump's digital campaign had consisted of more or less one person: Brad Parscale, a marketing entrepreneur and failed start-up founder who created a rudimentary website for Trump for $1,500. The 70-year-old Trump is not digitally savvy—there isn't even a computer on his office desk. Trump doesn't do emails, his personal assistant once revealed. She herself talked him into having a smartphone, from which he now tweets incessantly.

    Hillary Clinton, on the other hand, relied heavily on the legacy of the first "social-media president," Barack Obama. She had the address lists of the Democratic Party, worked with cutting-edge big data analysts from BlueLabs and received support from Google and DreamWorks. When it was announced in June 2016 that Trump had hired Cambridge Analytica, the establishment in Washington just turned up their noses. Foreign dudes in tailor-made suits who don't understand the country and its people? Seriously?

    "It is my privilege to speak to you today about the power of Big Data and psychographics in the electoral process." The logo of Cambridge Analytica— a brain composed of network nodes, like a map, appears behind Alexander Nix. "Only 18 months ago, Senator Cruz was one of the less popular candidates," explains the blonde man in a cut-glass British accent, which puts Americans on edge the same way that a standard German accent can unsettle Swiss people. "Less than 40 percent of the population had heard of him," another slide says. Cambridge Analytica had become involved in the US election campaign almost two years earlier, initially as a consultant for Republicans Ben Carson and Ted Cruz. Cruz—and later Trump—was funded primarily by the secretive US software billionaire Robert Mercer who, along with his daughter Rebekah, is reported to be the largest investor in Cambridge Analytica.

    "So how did he do this?" Up to now, explains Nix, election campaigns have been organized based on demographic concepts. "A really ridiculous idea. The idea that all women should receive the same message because of their gender—or all African Americans because of their race." What Nix meant is that while other campaigners so far have relied on demographics, Cambridge Analytica was using psychometrics.

    Though this might be true, Cambridge Analytica's role within Cruz's campaign isn't undisputed. In December 2015 the Cruz team credited their rising success to psychological use of data and analytics. In Advertising Age, a political client said the embedded Cambridge staff was "like an extra wheel," but found their core product, Cambridge's voter data modeling, still "excellent." The campaign would pay the company at least $5.8 million to help identify voters in the Iowa caucuses, which Cruz won, before dropping out of the race in May.

    Nix clicks to the next slide: five different faces, each face corresponding to a personality profile. It is the Big Five or OCEAN Model. "At Cambridge," he said, "we were able to form a model to predict the personality of every single adult in the United States of America." The hall is captivated. According to Nix, the success of Cambridge Analytica's marketing is based on a combination of three elements: behavioral science using the OCEAN Model, Big Data analysis, and ad targeting. Ad targeting is personalized advertising, aligned as accurately as possible to the personality of an individual consumer.

    Nix candidly explains how his company does this. First, Cambridge Analytica buys personal data from a range of different sources, like land registries, automotive data, shopping data, bonus cards, club memberships, what magazines you read, what churches you attend. Nix displays the logos of globally active data brokers like Acxiom and Experian—in the US, almost all personal data is for sale. For example, if you want to know where Jewish women live, you can simply buy this information, phone numbers included. Now Cambridge Analytica aggregates this data with the electoral rolls of the Republican party and online data and calculates a Big Five personality profile. Digital footprints suddenly become real people with fears, needs, interests, and residential addresses.

    The methodology looks quite similar to the one that Michal Kosinski once developed. Cambridge Analytica also uses, Nix told us, "surveys on social media" and Facebook data. And the company does exactly what Kosinski warned of: "We have profiled the personality of every adult in the United States of America—220 million people," Nix boasts.

    He opens the screenshot. "This is a data dashboard that we prepared for the Cruz campaign." A digital control center appears. On the left are diagrams; on the right, a map of Iowa, where Cruz won a surprisingly large number of votes in the primary. And on the map, there are hundreds of thousands of small red and blue dots. Nix narrows down the criteria: "Republicans"—the blue dots disappear; "not yet convinced"—more dots disappear; "male", and so on. Finally, only one name remains, including age, address, interests, personality and political inclination. How does Cambridge Analytica now target this person with an appropriate political message?


    Alexander Nix at the 2016 Concordia Summit in New York. Image: Concordia Summit

    Nix shows how psychographically categorized voters can be differently addressed, based on the example of gun rights, the 2nd Amendment: "For a highly neurotic and conscientious audience the threat of a burglary—and the insurance policy of a gun." An image on the left shows the hand of an intruder smashing a window. The right side shows a man and a child standing in a field at sunset, both holding guns, clearly shooting ducks: "Conversely, for a closed and agreeable audience. People who care about tradition, and habits, and family."

    How to keep Clinton voters away from the ballot box
    Trump's striking inconsistencies, his much-criticized fickleness, and the resulting array of contradictory messages, suddenly turned out to be his great asset: a different message for every voter. The notion that Trump acted like a perfectly opportunistic algorithm following audience reactions is something the mathematician Cathy O'Neil observed in August 2016.
    Quote These "dark posts"—sponsored Facebook posts that can only be seen by users with specific profiles—included videos aimed at African-Americans in which Hillary Clinton refers to black men as predators, for example.
    "Pretty much every message that Trump put out was data-driven," Alexander Nix remembers. On the day of the third presidential debate between Trump and Clinton, Trump's team tested 175,000 different ad variations for his arguments, in order to find the right versions above all via Facebook. The messages differed for the most part only in microscopic details, in order to target the recipients in the optimal psychological way: different headings, colors, captions, with a photo or video. This fine-tuning reaches all the way down to the smallest groups, Nix explained in an interview with us. "We can address villages or apartment blocks in a targeted way. Even individuals."

    In the Miami district of Little Haiti, for instance, Trump's campaign provided inhabitants with news about the failure of the Clinton Foundation following the earthquake in Haiti, in order to keep them from voting for Hillary Clinton. This was one of the goals: to keep potential Clinton voters (which include wavering left-wingers, African-Americans, and young women) away from the ballot box, to "suppress" their vote, as one senior campaign official told Bloomberg in the weeks before the election. These "dark posts"—sponsored news-feed-style ads in Facebook timelines that can only be seen by users with specific profiles—included videos aimed at African-Americans in which Hillary Clinton refers to black men as predators, for example.

    Nix finishes his lecture at the Concordia Summit by stating that traditional blanket advertising is dead. "My children will certainly never, ever understand this concept of mass communication." And before leaving the stage, he announced that since Cruz had left the race, the company was helping one of the remaining presidential candidates.

    Just how precisely the American population was being targeted by Trump's digital troops at that moment was not visible, because they attacked less on mainstream TV and more with personalized messages on social media or digital TV. And while the Clinton team thought it was in the lead, based on demographic projections, Bloomberg journalist Sasha Issenberg was surprised to note on a visit to San Antonio—where Trump's digital campaign was based—that a "second headquarters" was being created. The embedded Cambridge Analytica team, apparently only a dozen people, received $100,000 from Trump in July, $250,000 in August, and $5 million in September. According to Nix, the company earned over $15 million overall. (The company is incorporated in the US, where laws regarding the release of personal data are more lax than in European Union countries. Whereas European privacy laws require a person to "opt in" to a release of data, those in the US permit data to be released unless a user "opts out.")


    Groundgame, an app for election canvassing that integrates voter data with "geospatial visualization technology," was used by campaigners for Trump and Brexit. Image: L2

    The measures were radical: From July 2016, Trump's canvassers were provided with an app with which they could identify the political views and personality types of the inhabitants of a house. It was the same app provider used by Brexit campaigners. Trump's people only rang at the doors of houses that the app rated as receptive to his messages. The canvassers came prepared with guidelines for conversations tailored to the personality type of the resident. In turn, the canvassers fed the reactions into the app, and the new data flowed back to the dashboards of the Trump campaign.

    Again, this is nothing new. The Democrats did similar things, but there is no evidence that they relied on psychometric profiling. Cambridge Analytica, however, divided the US population into 32 personality types, and focused on just 17 states. And just as Kosinski had established that men who like MAC cosmetics are slightly more likely to be gay, the company discovered that a preference for cars made in the US was a great indication of a potential Trump voter. Among other things, these findings now showed Trump which messages worked best and where. The decision to focus on Michigan and Wisconsin in the final weeks of the campaign was made on the basis of data analysis. The candidate became the instrument for implementing a big data model.

    What's Next?
    But to what extent did psychometric methods influence the outcome of the election? When asked, Cambridge Analytica was unwilling to provide any proof of the effectiveness of its campaign. And it is quite possible that the question is impossible to answer.

    And yet there are clues: There is the fact of the surprising rise of Ted Cruz during the primaries. Also there was an increased number of voters in rural areas. There was the decline in the number of African-American early votes. The fact that Trump spent so little money may also be explained by the effectiveness of personality-based advertising. As does the fact that he invested far more in digital than TV campaigning compared to Hillary Clinton. Facebook proved to be the ultimate weapon and the best election campaigner, as Nix explained, and as comments by several core Trump campaigners demonstrate.


    Cambridge Analytica counts among its clients the U.S. State Department, and has been reported to have communicated with British Prime Minister Theresa May, pictured here with Secretary of State John Kerry on July 19, 2016. Image: U.S. Dept. of State

    Many voices have claimed that the statisticians lost the election because their predictions were so off the mark. But what if statisticians in fact helped win the election—but only those who were using the new method? It is an irony of history that Trump, who often grumbled about scientific research, used a highly scientific approach in his campaign.

    Another big winner is Cambridge Analytica. Its board member Steve Bannon, former executive chair of the right-wing online newspaper Breitbart News, has been appointed as Donald Trump's senior counselor and chief strategist. Whilst Cambridge Analytica is not willing to comment on alleged ongoing talks with UK Prime Minister Theresa May, Alexander Nix claims that he is building up his client base worldwide, and that he has received inquiries from Switzerland, Germany, and Australia. His company is currently touring European conferences showcasing their success in the United States. This year three core countries of the EU are facing elections with resurgent populist parties: France, Holland and Germany. The electoral successes come at an opportune time, as the company is readying for a push into commercial advertising.

    Kosinski has observed all of this from his office at Stanford. Following the US election, the university is in turmoil. Kosinski is responding to developments with the sharpest weapon available to a researcher: a scientific analysis. Together with his research colleague Sandra Matz, he has conducted a series of tests, which will soon be published. The initial results are alarming: The study shows the effectiveness of personality targeting by showing that marketers can attract up to 63 percent more clicks and up to 1,400 more conversions in real-life advertising campaigns on Facebook when matching products and marketing messages to consumers' personality characteristics. They further demonstrate the scalability of personality targeting by showing that the majority of Facebook Pages promoting products or brands are affected by personality and that large numbers of consumers can be accurately targeted based on a single Facebook Page.

    In a statement after the German publication of this article, a Cambridge Analytica spokesperson said, "Cambridge Analytica does not use data from Facebook. It has had no dealings with Dr. Michal Kosinski. It does not subcontract research. It does not use the same methodology. Psychographics was hardly used at all. Cambridge Analytica did not engage in efforts to discourage any Americans from casting their vote in the presidential election. Its efforts were solely directed towards increasing the number of voters in the election."

    The world has been turned upside down. Great Britain is leaving the EU, Donald Trump is president of the United States of America. And in Stanford, Kosinski, who wanted to warn against the danger of using psychological targeting in a political setting, is once again receiving accusatory emails. "No," says Kosinski, quietly and shaking his head. "This is not my fault. I did not build the bomb. I only showed that it exists."

    Additional research for this report was provided by Paul-Olivier Dehaye.
    Last edited by Hervé; 6th February 2017 at 01:20.
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    UK Avalon Member Clear Light's Avatar
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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    Oh, in the interests of collating material concerned with Cambridge Analytica, here's the link to an Avalon thread I posted just *before* the US Election :

    The mind-reading software that could provide the 'secret sauce' for Trump to win the White House

    [Its original source is the UK's "The Telegraph" website]

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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    They've been doing it sinc Y2K and that algorythm program data gathering started in CO.

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    France Administrator Hervé's Avatar
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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    ...



    "La réalité est un rêve que l'on fait atterrir" San Antonio AKA F. Dard

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    France Administrator Hervé's Avatar
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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    It reminds me of that other article I posted there and which I am reposting below:

    Rigged, double-rigged and re-rigged:

    Russian Artificial Intelligence Expert: US media hyped Trump to help Hillary

    Eugene Chernyh Fort Russ Mon, 17 Oct 2016 18:50 UTC



    © The Economist

    Clinton supporters wanted to knock out her arch-rival Jeb Bush from the presidential race

    The eccentric billionaire popped up last year into the presidential elections like a jack-in-the-box, and messed up all Republican plans for the White House, having crept into their ranks. Trump became a headache for the Democrat Hillary Clinton and her entire party.

    Donkey Ears
    Analysts, political scientists, and other experts have been scratching their heads for several months over his phenomenon. Many on both sides of the ocean call Trump "the shame of America", awarding other bad adjectives, constantly predicting his demise. But he is still trying to force his way into the White house. And where did he come from?

    Where - where from? You know, from the camel [Russian idiom -FR]. Sorry, from the donkey. This animal is the symbol of the Democratic party of the United States. The experts might point the journalist mixed up the animals. Say, the symbol of his native Republican party is the elephant.

    The fact of the matter is, dear citizens, that donkey ears actually are sticking out behind the extravagant hairstyle of the Republican Donald, says Russian scientist Vladimir Shalack, although Trump had nothing to do with it.

    I met the doctor of philosophic sciences Shalack in September of last year. Then the main global event was the sudden pouring of a flood of hundreds of thousands of migrants to Germany. Vladimir Ivanovich conducted his own research and convincingly, with specific addresses, names, proved:
    "The invasion of refugees into Europe was organized through Twitter by United States and Britain".
    This article in Komsomolskaya Pravda made a lot of noise. As a source of information the scientist had selected a network of Twitter accounts, choosing those quickest to respond to all global events. In his research he adopted a strictly scientific method of content analysis based on the frequency of occurrence of words or phrases in the texts, headlines, etc. He got interested in this 20 years ago, working in the Research Center for Artificial Intelligence in Pereslavl-Zalessky. Later he created special computer programs for this purpose.

    Then Shalack told me he conducted a similar investigation of the US presidential campaign. [He] subjected to content analysis the Twitter headlines with names of candidates of 17 of the most popular American mass media accounts. And also received unexpected results.

    From the start Republican Jeb Bush and Democrat Hillary Clinton led by cash inflows. It would seem that the press over the ocean should write about them more often. After all, money talks.

    Not so!

    By the frequency of mention in 16 of 17 accounts by a considerable margin at the beginning of September 2015 Donald Trump was in the lead! Only Fox News mentioned Clinton more. In all 17, despite all the large cash flows, Jeb Bush was in last place. In total 4.7 times more articles were devoted to Trump than Bush, and 2.2 times more than Hillary, despite the fact that on the money he trailed behind, ranking 19th out of 23 candidates. That, in the opinion of the scientist, was devoid of any logic.

    "No country in the world, and especially in democracies, has free media", said Shalack.

    "This is one of the most effective levers of power, allowing to drive required thoughts into the heads of the masses and to control them. How to neutralize an undesirable political figure, especially a presidential candidate? Just stop writing about him, and if it is impossible, mention his name from time to time to give people the impression of marginality of this character.

    "The biggest marginal of the three turned out to be Jeb Bush, and the undisputed leader of the headlines - the bizarre Donald Trump! At the current stage of the presidential race his name is hammered into the heads of voters."

    But by whom?
    Shalack made a deep conspiralogical conclusion. "The real masters of the USA are tired of the Bush and Clinton clans. Experiment with Obama has been a failure and threatens to turn into a disaster. They made a bid for Trump."

    [In the] Investigation "Forecasts - thankless and risky, but still..." Shalack published this conclusion on his website back on September 6, 2015.

    A few days later he conducted a content analysis of the headlines of leading UK media. "The election of the President of the United States. What do the Rothschilds think?"

    The results were even more paradoxical. In total the foggy Albion devoted 9.8 times more articles to Trump than Jeb Bush, and 2.9 times more than Hillary Clinton. The popular magazine The Economist, which is considered a mouthpiece of the Rothschilds, mentions Trump in the headlines ahead of Bush by 72 times! Moreover! The header of the account of the magazine featured a puzzling picture: a helicopter flying in the sky with the words "TRUMP" carrying on the cable carries... Trump's wig.

    Which further strengthened the scientist in the thought that someone is behind Trump! Britain and the United States, after all, are the Anglo-Saxons who consider themselves rulers of the world.

    But even I, the master conspiracy theorist of Komsomolskaya Pravda considered Shalack's insights too ambitious and fantastic a year ago. And [I] did not publish the investigation in my native newspaper. I, as many analysts believed, then, that boisterous Trump was unleashed by the Republicans specifically at the start of the campaign to identify the weaknesses of Clinton, to make her tick. And closer to the primaries the respectable Jeb Bush will be released on the political scene in a white coat. A trusted comrade from a respected family. Father and brother were already presidents. Behind him - all the party leaders, the financiers, lobbyists, industrialists... Not the scandalous billionaire upstart. And Trump will give him the votes so Jeb can ascend to the White house. And Donald would score with favors in business.

    But Bush was the first to expire, despite the political influence of the family, money, position in the party, as predicted by Shalack. And Trump became the leader in the primaries of his own party, although the leadership was dissatisfied with him. And [he] continues the battle with Clinton.

    Operation "Pied Piper"
    The other day I called the scientist with an apology, that I didn't believe him a year ago.

    "Everything is going according to you, Vladimir! Your conspiracy theory was correct. Look at Trump today!"

    "There is only one hitch in my conspiratorial conclusions", said Shalack."Trump was hyped ... by the Democratic party itself."

    "Impossible?!"

    "May be. But I could not even imagine this. Therefore [I] concluded about the owners of the United States. It turns out that the Democrats back in April 2015 contemplated about how to win elections. Some of them came up with the "brilliant" idea to assist in the media promotion of marginal candidates from the "enemy party" so those at the stage of the primaries [it] pushed the real contenders out of the race."

    "The main real candidate of the Republican party, behind whom were concentrated enormous financial resources, was considered to be Jeb Bush. So with the help of the Democrats, the media, America and the UK hyped the Republican Trump."

    "Is this your guess?"

    "A few days ago Wikileaks posted another batch of DNC emails. There is a very interesting document from April 7, 2015


    © Wikileaks

    "So at the start the media promoted Pied Piper candidates from the "enemy party". Because Cruz and Carson were quite respectable people, the emphasis was on the eccentric Trump, whom many then considered a buffoon."

    "The medieval legend of the Pied Piper of Hamelin is widely known. Playing the flute, he stole all the children from the German city where they never returned."

    "This role by the intention of the Democrats, was allotted to Donald Trump. So he took away the votes from Jeb Bush. Which is what I discovered in September of last year."

    "Primaries started in February. Bush was out with a big bang from the start, and Trump was winning one state after another. Then was the turn of Carson and Cruz, hyped up by the Democrats."

    "Do not dig a hole for somebody else"

    "And then the unexpected happened", continued the doctor of philosophical sciences Vladimir Shalack, "If in 2015 Democrats made efforts to promote Trump, now began a chain reaction. The person who was given the role of a puppet, thief of votes, has suddenly become so popular among Republicans that they had no choice but to write about him. He became media-self-sufficient. The whole year according to my content analysis he was the leader by frequency of mentions in the leading American mass media."

    "It continues today, when the acute phase of the election campaign has begun and buckets of dirt are pouring from one and the other side."

    "I made a chart which shows for the last month and a half Trump leading on the frequency of mentions in the media headlines. Press, TV would love to stop, but they can't live without Trump. The amazing thing is that in each of the analyzed media, he is also ahead of Hillary."


    © vaal.ru,The frequency of mention of candidates in the media in the fall of 2016.


    "Vladimir Ivanovich, did the Democrats realize that by promoting Trump, they let the genie out of the bottle?"


    "In early May. I analyzed the Twitter accounts of 42 members of Clinton's campaign staff from January 1, 2015 to October 15, 2016. Collected 64 893 tweets. Until May 2016 Hillary was mentioned in tweets more often than Trump. But that all changed the first week of May 2016. After Trump's resounding victories during the primaries the Democrats realized that with their own hands they have created a serious rival for the fall elections. In October 2016 Trump is mentioned in the campaign staff tweets already three more times than Hillary. Democrats are freaked out, but don't know how to stop him. Hence the hysteria around the alleged Russian hackers, Trump's alleged support by the Kremlin and other nonsense."

    "A year ago, Jeremy Corbin was elected the new leader of the Labour party in England. He was also smeared in dirt by all the British media, I conducted a content analysis of the press. But in the end he was on people's minds, as now Trump, and won by a large margin. Then there was a lot of moaning about this, but there was no turning back. This could happen with Trump."

    The Democrats themselves raised their gravedigger. The suspense remains.

    Vladimir Ivanovich Shalack, 61. Doctor of philosophical sciences. Leading researcher of the Russian Academy of Sciences Institute of Philosophy. Creator and manager of VAAL project. Has been involved in content-analytical studies on various issues for 20 years.

    Via Komsomolskaya Pravda - Translated from Russian by Kristina Kharlova

    =============================================

    Reminds me of [Trump] some Derren [Trump] Brown video about [Trump] induced [Trump] outcomes...
    "La réalité est un rêve que l'on fait atterrir" San Antonio AKA F. Dard

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    France Administrator Hervé's Avatar
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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    Facebook changed their default setting of sharing account holders "Likes"... now... here is one way how "Twitter" is retaliating:

    Social media hive mind: How Twitter 'throttles' content that disagrees with their political views

    Scott Adams
    Scott Adams Blog Sat, 04 Feb 2017 15:57 UTC


    © Dado Ruvic/Reuters

    You might have clicked on my misleading tweet to get to this page. I had to disguise the content so Twitter wouldn't throttle it.

    Here's why...

    This morning I tweeted a link to a great video that describes in detail how Twitter "throttles" the tweets of any content that disagrees with their political views. The video describes how Twitter gives a fake message that some tweets are no longer available, to discourage you from clicking to them. The tweets still exist, and you can access them by directly clicking the links in the tweets, but most people would not think to do that.

    If you don't think that's a real thing, here's my tweet about the video. They did it to me. And this is common for my tweets about Trump or climate science. They throttle me to prevent them from going viral. And it only happens with certain types of content.



    And it isn't just me.



    I would argue that the human mind has recently evolved to include the thinking process of social media as a whole. We're connected to social media like a great hive mind. And thanks to scientific advances in datametrics, the social media companies now have almost perfect mind control technology. We connect to the hive mind, the social media giants decide who sees what messages, and they program us individually. You get different persuasion than I do.

    I no longer have freedom of expression in the way that most of you still do because the social media platforms throttle my ideas. And you know why this isn't the biggest story in the world?

    LOOK OVER THERE! IT'S HITLER!

    That's the hive mind distracting you. Here's the video Twitter didn't want you to see.

    By the way, I don't think Twitter or any other social media platform have evil intent. But apparently they think I do. That's a big perceptual problem.

    Update: The misleading tweet that brought many of you to this page skirted Twitter's throttle filter.




    "La réalité est un rêve que l'on fait atterrir" San Antonio AKA F. Dard

    Troll-hood motto: Never, ever, however, whatsoever, to anyone, a point concede.

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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    Anyone noticed this:

    Quote "The invasion of refugees into Europe was organized through Twitter by United States and Britain"
    Because it uncannily relates to this:
    [Alleged] Albert Pike's letter to Mazzini, dated August 15, 1871:
    • "The First World War must be brought about in order to permit the Illuminati to overthrow the power of the Czars in Russia and of making that country a fortress of atheistic Communism. The divergences caused by the "agentur" (agents) of the Illuminati between the British and Germanic Empires will be used to foment this war. At the end of the war, Communism will be built and used in order to destroy the other governments and in order to weaken the religions."
    • "The Second World War must be fomented by taking advantage of the differences between the Fascists and the political Zionists. This war must be brought about so that Nazism is destroyed and that the political Zionism be strong enough to institute a sovereign state of Israel in Palestine. During the Second World War, International Communism must become strong enough in order to balance Christendom, which would be then restrained and held in check until the time when we would need it for the final social cataclysm."
    • "The Third World War must be fomented by taking advantage of the differences caused by the "agentur" of the "Illuminati" between the political Zionists and the leaders of Islamic World. The war must be conducted in such a way that Islam (the Moslem Arabic World) and political Zionism (the State of Israel) mutually destroy each other. Meanwhile the other nations, once more divided on this issue will be constrained to fight to the point of complete physical, moral, spiritual and economical exhaustion…We shall unleash the Nihilists and the atheists, and we shall provoke a formidable social cataclysm which in all its horror will show clearly to the nations the effect of absolute atheism, origin of savagery and of the most bloody turmoil. Then everywhere, the citizens, obliged to defend themselves against the world minority of revolutionaries, will exterminate those destroyers of civilization, and the multitude, disillusioned with Christianity, whose deistic spirits will from that moment be without compass or direction, anxious for an ideal, but without knowing where to render its adoration, will receive the true light through the universal manifestation of the pure doctrine of Lucifer, brought finally out in the public view. This manifestation will result from the general reactionary movement which will follow the destruction of Christianity and atheism, both conquered and exterminated at the same time."
    ... which also relates to the implementation of some "rulers" plans taking place over generations, as touched upon here (<---).
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    Troll-hood motto: Never, ever, however, whatsoever, to anyone, a point concede.

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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    Glad you made this a new thread.

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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    Quote Posted by Hervé (here)
    Anyone noticed this:
    Quote "The invasion of refugees into Europe was organized through Twitter by United States and Britain"
    One way of controlling the stampede:

    This is what a Russian found inside a Chinese phone 'click-farm'

    Tyler Durden Zero Hedge
    Fri, 12 May 2017 12:29 UTC


    [the modern look of a CIA/Mossad agent]© Weibo

    On the day when Snapchat erased billions of market cap from investors (and founders) accounts - as the MAUs-means-money model seems to break - we thought it worthwhile taking another glimpse into the hush-hush world of 'click-farms' and the fakenews of the latest social network fads.

    In 2014, we first exposed the world to the 'click-farm' where nothing is what it seems, and where social networking participants spend millions of dollars to appear more important, followed, prestigious, cool, or generally "liked" than they really are. As we detailed at the time, social networking has been the "it" thing for a while: for the networks it makes perfect sense because they are merely the aggregators and distributors of terabytes of free, third party created content affording them multi-billion dollar valuations without generating a cent in profits (just think of the upside potential in having 10 times the world's population on any given publicly-traded network), while for users it provides the opportunity to be seen, to be evaluated or "liked" on one's objective, impartial merits and to maybe go "viral", potentially making money in the process. Of course, the biggest draws of social networks also quickly became their biggest weaknesses, and it didn't take long to game the weakest link: that apparent popularity based on the size of one's following or the number of likes, which usually translates into power and/or money, is artificial and can be purchased for a price.

    But it is not only sport stars with chips on their shoulder, or fading movie and music gods who are willing to dish out in order to get the fake adoration and fake fans: as the AP reports, In 2013, the State Department, which has more than 400,000 likes and was recently most popular in Cairo, said it would stop buying Facebook fans after its inspector general criticized the agency for spending $630,000 to boost the numbers. In one case, its fan tally rose to more than 2.5 million from about 10,000.

    Since then there have been crackdowns (self-regulated) and also numerous "advertising metric errors," but still, as recently as March of this year, scientists at USC and Indiana University discovered up to 15% of Twitter accounts could be fake. Since Twitter currently has 319 million monthly active users, that translates to nearly 48 million bot accounts, using USC's high-end estimate. The report goes on to say that complex bots could have shown up as humans in their model, "making even the 15% figure a conservative estimate." At 15 percent, the evaluation is far greater than Twitter's own estimates.

    In a filing with the SEC last month, Twitter said that up to 8.5 percent of all active accounts contacted Twitter's servers "...without any discernable additional user-initiated action."

    Since that equates to roughly 20 million more bot accounts than Twitter's own assessment, that could be an issue in light of analyst concerns about user growth. In a recent research report, Nomura Instinet analysts wrote that "Twitter's revenue growth has slowed to the mid-single digits, as the platform has struggled to attract new users over the past year..."

    The research could be troubling news for Twitter, which has struggled to grow its user base in the face of growing competition from Facebook, Instagram, Snapchat and others.

    So, if they're not human, where do all those "likes," "retweets," and "followers" lighting up your social media accounts from?

    Thanks to this Russian gentleman - who visited a Chinese click farm, where they make fake ratings for mobile apps and other things like this - we now know...

    He said they have 10,000 more phones just like these.


    As we concluded previously, the bottom line is simple: "The illusion of a massive following is often just that," said Tony Harris, who does social media marketing for major Hollywood movie firms, said he would love to be able to give his clients massive numbers of Twitter followers and Facebook fans, but buying them from random strangers is not very effective or ethical. And once the prevailing users of social networks grasp that one of the main driving features of the current social networking fad du jour is nothing but a big cash scam operating out of a basement in the far east, expect both Facebook and shortly thereafter, Twitter, to go the way of 6 Degrees, Friendster and MySpace, only this time the bagholders will be the public. Because "it is never different this time." The only certain thing: someone will promptly step in to replace any social network that quietly fades into the sunset.
    Last edited by Hervé; 12th May 2017 at 14:21.
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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    Researchers use social media posts and other data to predict riots, revolutions and your behavior

    Mac Slavo SHTFplan
    Tue, 27 Jun 2017 00:00 UTC


    Most of us don't give much thought to what we post on social media, and a lot of what we see on social media is pretty innocuous. However, it only seems that way at first glance. The truth is that what we post online has a frightening potential. According to recent research from the Pacific Northwest National Laboratory and the University of Washington, the things we post on social media could be utilized by software to predict future events.
    In a paper that's just been published on Arxiv, the team of researchers found that social media can be used to "detect and predict offline events".

    Twitter analysis can accurately predict civil unrest, for instance, because people use certain hashtags to discuss issues online before their anger bubbles over into the real world.

    The most famous example of this came during the Arab Spring, when clear signs of the impending protests and unrest were found on social networks days before people took to the streets.

    A system called EMBERS (Early Model Based Event Recognition using Surrogates) has also yielded "impressive results" not just in "detecting events, but in detecting specific properties of those events".

    It has been used to predict unrest in South America, forecasting events with 80 per cent accuracy in Brazil and a slightly underwhelming 50 per cent in Venezuela.

    Another study showed "impressive" results in detecting "civil unrest" linked to the Black Lives Matter group, which formed in America in response to police shootings.
    And that's not all. The researchers found that social media posts could be used to predict the weather, disease outbreaks, future crimes, and the mental health of individual social media users.

    So we should probably ask ourselves, is the government using this kind of technology? Because the vast troves of personal data that is collected by the NSA every day could be used to make very accurate predictions. It's one thing to plug publicly available social media posts into predictive software, but the government has access to all of our personal emails, phone calls, search histories, and even our online purchases.

    When you combine that data with social media posts, you can make a very sophisticated profile of any individual, because you know what kind of persona they're trying to project in public, and you know who they really are on the inside. And if you have access to internet histories from hundreds of millions of people, as well as advanced supercomputers, there's no telling what you could predict.

    Make not mistake, this isn't science-fiction. There are private companies working for the government right now who are creating powerful computer forecasting programs.
    It is called the "Sentient World Simulation." The program's aim, according to its creator, is to be a "continuously running, continually updated mirror model of the real world that can be used to predict and evaluate future events and courses of action." In practical terms that equates to a computer simulation of the planet complete with billions of "nodes" representing every person on the earth.

    The project is based out of Purdue University in Indiana at the Synthetic Environment for Analysis and Simulations Laboaratory. It is led by Alok Chaturvedi, who in addition to heading up the Purdue lab also makes the project commercially available via his private company, Simulex, Inc. which boasts an array of government clients, including the Department of Defense and the Department of Justice, as well as private sector clients like Eli Lilly and Lockheed Martin.

    Chatruvedi's ambition is to create reliable forecasts of future world events based on imagined scenarios. In order to do this, the simulations "gobble up breaking news, census data, economic indicators, and climactic events in the real world, along with proprietary information such as military intelligence." Although not explicitly stated, the very type of data on digital communications and transactions now being gobbled up by the NSA, DHS and other government agencies make ideal data for creating reliable models of every individuals' habits, preferences and behaviors that could be used to fine-tune these simulations and give more reliable results...
    If anything, that may be the real purpose of the NSA. When you think about it, it makes a lot more sense than what the government claims this technology is used for, which is to stop terrorism. Are they really spending billions of dollars on a massive surveillance grid just to stop a handful of terrorist attacks? Or are they really trying to predict major global events?


    Related:
    America the Borg: "We kill people based on metadata", says former director of NSA and CIA
    The NSA's Technotyranny: One nation under surveillance
    "La réalité est un rêve que l'on fait atterrir" San Antonio AKA F. Dard

    Troll-hood motto: Never, ever, however, whatsoever, to anyone, a point concede.

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    Default Re: The Weaponization of Social Media : Corbett report 1 March 2018

    Cambridge Analytica, Facebook and the Weaponization
    of Voter Psychometrics and Grand Deception


    Lionel Nation... Published on 18 Mar 2018
    Cambridge Analytica is a company that offers services to businesses and
    political parties who want to “change audience behaviour," the Guardian
    reports. "It claims to be able to analyse huge amounts of consumer data
    and combine that with behavioural science to identify people who
    organisations can target with marketing material. It collects data from a
    wide range of sources, including social media platforms such as Facebook,
    and its own polling."

    With its headquarters in London, the firm was set up in 2013 as an offshoot
    of another company called SCL Group, which offers similar services around
    the world. In an interview with the website Contagious, Cambridge Analytica’s
    founder, Alexander Nix said it had been set up “to address the vacuum in the
    US Republican political market” that became evident when Mitt Romney was
    defeated in the 2012 presidential election.

    “The Democrats had ostensibly been leading the tech revolution, and data
    analytics and digital engagement were areas where Republicans had failed
    to catch up. We saw this as an opportunity.” https://www.theguardian.com/news/2018...

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    Thumbs up Re: The Weaponization of Social Media : Corbett report 1 March 2018

    A really good interview with Christopher Wylie ex Cambridge Analytica employee, explaining how they gathered data from Facebook and targeted people to influence their thought process.

    "A whistleblower has revealed to the Observer how Cambridge Analytica – a company owned by the hedge fund billionaire Robert Mercer, and headed at the time by Trump’s key adviser Steve Bannon – used personal information taken without authorisation in early 2014 to build a system that could profile individual US voters, in order to target them with personalised political advertisements." - The Guardian.




    https://www.theguardian.com/technolo...data-algorithm

    Love and Truth,


    Amenjo
    Last edited by Amenjo; 19th March 2018 at 21:26.

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    Default Re: The Weaponization of Social Media : Corbett report 1 March 2018

    Wylie again, this time a more in depth Channel 4 news report.




    Love and Truth,


    Amenjo

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  27. Link to Post #14
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    Default Re: The Weaponization of Social Media : Corbett report 1 March 2018

    Facebook under fire over claims Trump consultants mined data


    Published on 19 Mar 2018....Fox News...
    Federal lawmakers demand answers after reports claim Cambridge Analytica,
    a data analysis firm linked to the Trump campaign, retained personal information
    of more than 50 million Facebook users without their permission; historian Niall
    Ferguson weighs in.


    ==================================================
    ==================================================


    Lawmakers want answers from Facebook amid Cambridge Analytica scandal

    https://www.youtube.com/watch?v=EjMfMzZC2Ws

    Published on 19 Mar 2018...CBS
    Facebook is under fire after a political consulting firm, Cambridge Analytica, gained
    access to over 50 million Facebook users' information. Now, lawmakers want
    answers. TechRepublic senior writer Dan Patterson joins CBSN to discuss the fallout.
    Last edited by Cidersomerset; 19th March 2018 at 22:40.

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    Default Re: The Weaponization of Social Media : Corbett report 1 March 2018

    I think maybe this should be split into it's own thread! [edit] been moved

    Just out, Channel 4 news filming Cambridge Analytica undercover.

    Highly recommended viewing, shows exactly how corrupt they are.
    And they are just one group of many.




    Love and Truth,


    Amenjo
    Last edited by Amenjo; 19th March 2018 at 23:02.

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    Default Re: The Weaponization of Social Media : Corbett report 1 March 2018



    Cambridge Analytica: Warrant sought to inspect company

    2 minutes ago 19/3/18


    Alexander Nix is the CEO of Cambridge Analytica

    The UK's Information Commissioner says she will seek a warrant
    to look at the databases and servers used by British firm Cambridge
    Analytica.The company is accused of using the personal data of
    50 million Facebook members to influence the US presidential
    election in 2016.Its executives have also been filmed by Channel
    4 News suggesting it could use honey traps and potentially bribery
    to discredit politicians.The company denies any wrongdoing.

    Fresh allegations

    On Monday, Channel 4 News broadcast hidden camera footage in
    which Cambridge Analytica chief executive Alexander Nix appear
    to suggest tactics his company could use to discredit politicians online.

    Read more...
    http://www.bbc.co.uk/news/technology-43465700

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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    This segment by BBC's Newsnight is from just before the Channel 4 expose .....
    The company does Military grade psyops as well. This is a pretty good and honest assessment.

    Did Cambridge Analytica play a role in the EU referendum? - BBC Newsnight


    Published on 13 Jul 2017
    Did the data analytics company Cambridge Analytica play a role in the
    UK's EU referendum? BBC Newsnight’s Gabriel Gatehouse reports.

    Newsnight is the BBC's flagship news and current affairs TV programme
    - with analysis, debate, exclusives, and robust interviews.

    =================================================

    Its not a major problem as long as its transparent and everyone knows if
    they are being targeted suggests A.C.Grayling....

    A. C. Grayling: Cambridge Analytica’s Influence on Trump & Brexit
    Carnegie Council for Ethics in International Affairs

    https://www.youtube.com/watch?v=2Nmygv6s1dA

    Published on 3 Nov 2017
    A. C. Grayling, master of the New College of Humanities, describes Cambridge
    Analytica's sophisticated pro-Trump and pro-Brexit social media influence
    campaigns and why they are troubling for democracy.
    Last edited by Cidersomerset; 20th March 2018 at 13:13.

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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    Facebook boss Mark Zuckerberg has been called on by a parliamentary committee to give evidence about the use of personal data by Cambridge Analytica.

    In a letter to Mr Zuckerberg, Mr Collins accused Facebook of giving answers "misleading to the Committee" at a previous hearing which asked whether information had been taken without users' consent.

    He said it was "now time to hear from a senior Facebook executive with the sufficient authority to give an accurate account of this catastrophic failure of process".

    Requesting a response to the letter by 26 March, the MP added: "Given your commitment at the start of the New Year to "fixing" Facebook, I hope that this representative will be you."

    His intervention comes after the UK's Information Commissioner Elizabeth Denham said she would be applying to court for a warrant to search the offices of Cambridge Analytica.

    http://www.bbc.co.uk/news/uk-43474760

    Love and Truth,


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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    The second report from Channel 4's four month long investigation of propaganda machine Cambridge Analytica.

    This episode talks about their envolment with the American Election.




    Love and Truth,


    Amenjo
    Last edited by Amenjo; 20th March 2018 at 21:31.

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    Default Re: Accurate And Effective Profiling And Social Engineering From "Big Data"... Down To An Individual Scale!

    Ex-manager off Facebook: Data scandal at Cambridge Analytica only tip of the iceberg.

    App Developers like Zynga could just take Userprofiles about anyone that played their games and all profiles they had in their friendlist. And any other Developer that was doing something on or with Facebook too. Thats millions if not billions of profiles.


    Apart from the Cambridge Analytica revelations, however, other unfavorable to Facebook events have become public: First it became known that Zuckerberg has sold a portion of his Facebook shares on the weekend - shortly before on Monday, the stock market trading began and the share price slipped surprisingly unsuccessful.

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