The DAILY CORRUPTION: NEWS FEED & DATABASE project is an effort to fill the information gap inherent in traditional aggregate indexes of corruption, and to provide a more efficient way to conduct case studies on the subject by significantly reducing the usual constraints.
The project consists in the creation and constant update of a web database of corruption and anti-corruption news from all over the world, starting with a beta version focusing on the twenty-nine countries of the Americas selected.
Upon release, three products are to be immediately expected: (1) Daily news feed summary of corruption and anti-corruption news reported by national media of each country; (2) automatic statistical information on variables such as frequency, forms, actors and amounts involved, etc.; and (3) qualitative follow-up data on all relevant cases.
The ultimate goals of developing the proposed database are: (a) to limit the loss of data accuracy regarding the perception of political corruption; (b) to drastically cut down the financial and logistical costs of conducting case studies in developing countries; (c) to offer a constantly updated map of political corruption at the national level; and, perhaps most importantly, (d) to provide an instrument for the follow-up of political will for anti-corruption efforts in each country.
WHAT VARIABLES WILL BE INCLUDED IN THE DATABASE?
For corruption events, these are:
1. Sector –general- (public/private)
2. Sector –specific- (agriculture, education, tax administration, etc.)
3. Activity (human resource management, service delivery, etc.)
4. Sub-type (bribery, embezzlement, money laundering, etc.)
5. Range (local/national/international)
6. Level of the actors involved (low/middle/high)
7. Scale of the network (intra-organizational/inter-organizational)
8. Amount of resources involved (petty/grand)
9. Legality (criminal/administrative/ethical consequences)
10. Actors involved –general- (executive, legislative, judiciary, military, etc.)
11. Actors involved –specific- (incumbent/former)
12. Impact expected over the leadership (unfavorable/neutral/favorable)
13. Perception changes that may result (-5 ~ +5 corruption perception points)
14. Relevance, by number of media outlets reporting the event (single/multiple)
15. Relevance, by page of the printed media where the event is reported (front/inside)
16. Relevance, by the position of the news article on the page (main/secondary/tertiary)
17. Relevance, by word count
For anti-corruption events, these are:
1. Sector (public/private)
2. Sub-type (procedure, plan, appointment, etc.)
3. Range (local/national/international)
4. Level of the actors targeted (low/middle/high)
5. Initiative actors (executive, legislative, judiciary, military, etc.)
6. Implementation actors (executive, legislative, judiciary, military, etc.)
7. Impact expected over the leadership (unfavorable/neutral/favorable)
8. Perception changes that may result (-5 ~ +5 corruption perception points)
9. Relevance, by number of media outlets reporting the event (single/multiple)
10. Relevance, by page of the printed media where the event is reported (front/inside)
11. Relevance, by the position of the news article on the page (main/secondary/tertiary)
12. Relevance, by word count
PLEASE LET US KNOW IF THERE ARE OTHER VARIABLES THAT MIGHT ALSO AID THE WORK OF SCHOLARS, PRACTITIONERS OR ACTIVISTS FACING THE CHALLENGE OF THE CORRUPTION PHENOMENON.