Abstract

In the age of digitalization, data-driven political campaign has rapidly shifted into sophisticated data profiling and big data analysis. In Indonesia, the privacy implications of data profiling for political purposes have not been thoroughly studied, much less regulated. This paper aims to conduct a comparative regulatory study between the European Union General Data Protection Regulation (EU GDPR) and Indonesian laws concerning personal data protection in facing the growing practice of data profiling for political purposes. In conclusion, in order to prevent unfair and non-transparent data profiling for political purposes in the upcoming 2019 general election, Indonesia should enact a comprehensive data protection law which provides data subjects with the right to information related to profiling and establishing independent supervisory authority.
 
 

Highlights

  • IntroductionThe way Cambridge Analytica transformed Facebook ‘likes’ into a lucrative business by poisoning countries’ political system has been significantly increasing public discussions around the topics of data profiling and elections all around the world

  • This paper addresses two main legal issues: firstly, what is the nexus between data profiling and elections, and secondly, how data subjects can control their personal data from the practice of data profiling by companies for the purpose of political campaign

  • This paper aims to analyse how does the existing legal framework of the European Union (EU) and Indonesian laws concerning personal data protection help to prevent the practice of unfair and non-transparent data profiling for political campaign purposes

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Summary

Introduction

The way Cambridge Analytica transformed Facebook ‘likes’ into a lucrative business by poisoning countries’ political system has been significantly increasing public discussions around the topics of data profiling and elections all around the world.. The British Political Consulting Firm has reportedly had a role in 2016 US election and in 2013 and 2017 Kenya election. Big data has been taking old data-driven political campaign techniques to whole another level. Big data itself refers to the collection and aggregation of large quantities of data produced by and about people, things or the interactions between them.. Big data is characterised by 3V, volume, velocity and variety.. Volume means big data comprises large amounts of data. Velocity means the data streams coming at great speed, updated on a real-time basis. While variety means data come from different data sources, both internal and external data source

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