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Odebrecht paid bribes to your politicians: Exploring people's reaction to the biggest corruption scandal in Latin America using Google Trends
Valenzuela, Irina
Permalink
https://hdl.handle.net/2142/106618
Description
- Title
- Odebrecht paid bribes to your politicians: Exploring people's reaction to the biggest corruption scandal in Latin America using Google Trends
- Author(s)
- Valenzuela, Irina
- Issue Date
- 2019
- Keyword(s)
- Odebrecht
- Google Trends
- Political bribes
- Operation Car Wash
- Operação Lava Jato
- Abstract
Corruption, as defined as the misuse of public office with the purpose of making private gains, has become a serious problem in many countries, specially in Latin America. Since it is a secretive act, its measure has relied on the perception of corruption using standard surveys. However, nowadays, big data allows us to have an alternative source of information to evaluate this variable.
The visualization shows the web search intensity for the term “Corruption” [“corrupción” in Spanish and “corrupçäo” in Portuguese], as measured by Google Trends, in four countries: Peru, Brazil, Colombia and Argentina, during the last 10 years.
The highest peaks in the visualization corresponds to the media release of information related to Odebrecht’s corruption scandal. But, what is this biggest corruption scandal in Latin America?
Odebrecht, a Brazilian construction company, was dedicated to build some of Latin America’s most important infrastructure projects. However, Odebrecht’s illegal operations were known thanks to the criminal investigation carried out by the Federal Policy of Brazil, called “Lava Jato” Operation. The corruption web involved more than $5 billion of illegal payments from Brazilian companies to public officers in many Latin American countries as an exchange for overcharging the true cost of their work.
(Acknowledgements)
Visme
Google Trends
- Type of Resource
- other
- still image
- Language
- en
- Permalink
- http://hdl.handle.net/2142/106618
- Copyright and License Information
- Copyright 2019 Irina Valenzuela