Brazil

72 Hours

The online platform 72Horas.org (lit. 72 Hours) was created to identify and signal towards discrepancies in the transfers of electoral funds and in the access to the Special and Party Fund that offer funding for electoral campaigning. The site gathers and visualizes data obtained from the Supreme Electoral Court (port. TSE) in order to differentiate monetary transfers between both funds by candidate, by locality, State, and by ethnicity and gender, among other variables. In this way, it seeks to contribute to transparency and accountability in the use of funds for electoral campaigning and to strengthen plurality within party structures.

Institutional design

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Formalization: is the innovation embedded in the constitution or legislation, in an administrative act, or not formalized at all?

Frequency: how often does the innovation take place: only once, sporadically, or is it permanent or regular?

Mode of Selection of Participants: is the innovation open to all participants, access is restricted to some kind of condition, or both methods apply?

Type of participants: those who participate are individual citizens, civil society organizations, private stakeholders or a combination of those?

Decisiveness: does the innovation takes binding, non-binding or no decision at all?

Co-governance: is there involvement of the government in the process or not?

Formalization
not backed by constitution nor legislation, nor by any governmental policy or program 
Frequency
single
Mode of selection of participants
restricted 
Type of participants
citizens civil society  
Decisiveness
democratic innovation yields no decision  
Co-Governance
no 

Means


  • Deliberation
  • Direct Voting
  • E-Participation
  • Citizen Representation

Ends


  • Accountability
  • Responsiveness
  • Rule of Law
  • Political Inclusion
  • Social Equality

Policy cycle

Agenda setting
Formulation and decision-making
Implementation
Policy Evaluation

Sources

How to quote

Do you want to use the data from this website? Here’s how to cite:

Pogrebinschi, Thamy. (2017). LATINNO Dataset. Berlin: WZB.

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