How to KNOW Who are YOUR Voters !!!

Kogan developed Kosinksi's ideas : What an Idea to Know VOTER's MIND - *The  Behavioural analysis Pattern 

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#CambridgeAnalytica #DeleteFacebook

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Like A block buster Hollywood movie - the dealings between Cambridge Analytica and Facebook moss rooming in each media now a days.

- A Villane : A CEO 

- A steadfast billionaire

- A conflicted whistle-blower

- An Advanced data scientist turned Politician - @Hero

- A prize-winning president and his influential family

The whole story is about how the Cambridge Analytica was able to obtain data on more than 50m Facebook users and how it failed to delete the data when informed to do the same. The main problem is here, how Cambridge Analytica actually did with the data.Any how this data crunching company has put advanced tool and methodologies to find influenced data with specific category orientation. In this type of methodologies different categories are considered and grouped by by gender, age, income, education and family size.Sections can also be created around political affiliation or purchase preferences for any particular Party/Member. This is a step ahed to the data analytics machine that presidential candidate Hillary Clinton used in her 2016 campaign – named Ada after the 19th-century mathematician and early computing pioneer – used state-of-the-art segmentation techniques to target groups of eligible voters in the same way that Barack Obama had done four years previously.

There is a turning point when Cambridge Analytica was contracted to the Trump campaign and provided an entirely new weapon for the election machine. While it also used demographic segments to identify groups of voters, as Clinton's campaign had, Cambridge Analytica also segmented using psychographics.  As definitions of class, education, employment, age and so on, demographics are informational. 

Psychographics are behavioural – a means to segment by personality.

Here is the winers story. It's obvious that two people with the same demographic profile (for example, white, middle-aged, employed, married men) can have markedly different personalities and opinions. We also know that adapting a message to a person's personality – whether they are open, introverted, argumentative, and so on – goes a long way to help getting that message across.

The theory - for Understanding people better

There have traditionally been two routes to ascertaining someone's personality. You can either get to know them really well – usually over an extended time Or you can get them to take a personality test and ask them to share it with you. Neither of these methods is realistically open to pollsters. Cambridge Analytica found a third way, with the assistance of two University of Cambridge academics.

The first, Aleksandr Kogan, sold them access to 270,000 personality tests completed by Facebook users through an online app he had created for research purposes. Providing the data to Cambridge Analytica was, it seems, against Facebook's internal code of conduct, but only now in March 2018 has Kogan been banned by Facebook  from the platform. In addition, Kogan's data also came with a bonus: he had reportedly collected Facebook data from the test-takers' friends – and, at an average of 200 friends per person, that added up to some 50m people.

However, these 50m people had not all taken personality tests. This is where the second Cambridge academic, Michal Kosinski, came in. Kosinski – who is said to believe that micro-targeting based on online data could strengthen democracy – had figured out a way to reverse engineer a  personality profile from Facebook activity such as likes. Whether you choose to like pictures of sunsets, puppies or people apparently says a lot about your  personality. So much, in fact, that on the basis of 300 likes, Kosinski's model is able to predict someone's personality profile with the same accuracy as a spouse.

Kogan developed Kosinksi's ideas, improved them, and cut a deal with Cambridge Analytica. Armed with this bounty – and combined with additional data gleaned from elsewhere – Cambridge Analytica built personality profiles for more than 100m registered US voters. It's claimed the company then used these profiles for targeted advertising.

Imagine for example that you could identify a segment of voters that is high in conscientiousness and neuroticism, and another segment that is high in extroversion but low in openness. Clearly, people in each segment would respond differently to the same political ad. But on Facebook they do not need to see the same ad at all – each will see an individually tailored ad designed to elicit the desired response, whether that is voting for a candidate, not voting for a candidate, or donating funds.

Cambridge Analytica worked hard to develop dozens of ad variations on different political themes such as immigration, the economy and gun rights, all tailored to different personality profiles. There is no evidence at all that Clinton's election machine had the same ability.

Behavioural analytics and psychographic profiling are here to stay, no matter what becomes of Cambridge Analytica – which has robustly criticised what it calls "false allegations in the media". In a way it industrialises what good salespeople have always done, by adjusting their message and delivery to the personality of their customers. 

This approach to electioneering  and indeed to marketing will be Cambridge Analytica's ultimate legacy - is the point to consider.

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