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Big Data Campaigning                                         115

                     At the heart of this new e ort was Invoke, headed by Pakatan Harapan
                  politician Ra zi Ramli, launched in August 2016. Ra zi hired campaign
                  professional Andrew Claster, who had worked on Barack Obama’s 2012
                  presidential re-election campaign. Ra zi initially spent RM300,000 but the
                  costs kept rising; he had put in RM800,000 by the time the o cial campaign
                  began (Muliza Mustafa 2017). Invoke call-centre sta  and volunteers also asked
                  for donations from citizens, raising some RM1 million (Muliza Mustafa 2017).
                  Ra zi seemed to believe this type of campaigning could win the election for
                  the opposition Pakatan Harapan, but it was also a way of giving him more say
                  in the party machine itself, and thus improving his own standing as innovator
                  and key actor within the opposition coalition. By election year, Invoke had 13
                  o ces in Malaysia and around 90 full-time employees, of whom 50 worked
                  from the Kuala Lumpur o ce (interviews with Invoke sta , Kuala Lumpur,
                  February 2018). After the election, Ra zi claimed Invoke consisted of 40,000
                  volunteers ( e Sun Daily  2018).  e issue of paid sta  versus volunteers
                  is important, and a question which I will return to later in the chapter, in
                  analysing the impact of big data companies on democracy.
                     Invoke’s model was multifaceted. Invoke initially carried out live phone
                  interviews but later claimed to use Interactive Voice Response (IVR) systems
                  to collect responses. A number of interviews with some of their sta ers
                  suggests the model is as follows: a list of phone numbers is acquired through
                  telecommunications companies in seats that the party identi ed as marginal.
                  Volunteers or paid sta ers then call these numbers, hoping to talk to actual
                  people. Of course, not all phone numbers connect (one sta er estimated 30
                  per cent do). If the phone were answered, Invoke would identify themselves
                  and talk with the person.  ey then acquired information from these people.
                   ey would then (hopefully) get some social media details from them or even
                  identify their Facebook page through their phone number (if settings were not
                  private) or their Twitter account.  eir aim was to identify undecided voters,
                  whom they estimated to number around 1,000–1,500 in each electorate
                  (depending on size). Invoke could then target these people through Twitter
                  or Facebook advertisements, creating what one sta er said was a ‘meaningful
                  impact’ (interviews with Invoke sta , Kuala Lumpur, December 2017 and
                  February 2018), providing important details and analysis for candidates in
                  swing seats.
                     Facebook data on age, gender, and location of voters was used to
                  complement Invoke’s methodology. Ra zi clari ed, ‘Facebook will come back
                  to us and say: “of the 50,000 people we submitted only 10,000 have Facebook
                  accounts”; but they won’t tell us which ones.  ey will then tell us the cost of






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