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Jakarta Post

Big data used to measure corruption impacts

  • Grace D. Amianti

    The Jakarta Post

Jakarta   /   Fri, October 12 2018   /  03:10 am

A research team from the International Monetary Fund Regional Office for Asia and the Pacific (OAP) has introduced the use of big data drawn from more than 665 million articles in international media to measure the macroeconomic impacts of corruption and anti-corruption efforts on a country’s economy.The team plans to contribute the new method to the global literature on corruption by creating the first cross-country news flow indices of corruption (NIC) and anti-corruption (anti-NIC) through algorithms that search the news articles. The team’s approach is outlined in “The Measurement and Macro-Relevance of Corruption: A Big Data Approach” (S. Hlatshwayo, et al., eds., IMF working paper No. 18/195).Measuring corruption and its effects is difficult due to weaknesses in existing indicators, including “reliance on a limited pool of experts and an inability to d...