Muckety
Muckety reveals connections between wealthy and influential individuals and big corporations in the world | ||
Home page | http://www.muckety.com/ | |
Approach | The ICIJ analyzed the leaked HSBC files and uncovered the profiles of the main protagonists of this huge financial scandal and revealed the role of countries which took part in this fraud. They did it using stories and by building an archive of the profiles. | |
Phase | Released | |
Tags | network viz, power relationships, US, economic interests, and who's who | |
Practices | Collect | |
Project Start Date | 2006 |
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Launch Date | 2006 |
Most Recent Update | 2015 |
Update Frequency | true |
Thematic Focus | Exposure |
Issue addressed | Shadow influence |
Geographic Focus | US |
Experience
How does a user interact with and navigate the project?
Narrative | true |
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Query | true |
Network Visualisation | true |
Description
Summary of the project and its approach
Muckety publishes network maps and news stories to document paths of influence between government, business and nonprofit affiliations. | |
Approach (How?) | The ICIJ analyzed the leaked HSBC files and uncovered the profiles of the main protagonists of this huge financial scandal and revealed the role of countries which took part in this fraud. They did it using stories and by building an archive of the profiles. |
Language | English |
Commissioner | Self-commissionned |
Publisher | Muckety LLC |
Impact
Indicators of reach and impact of the project.
Target Audience : Online Audience Reached : Large Network Twitter : (1454 followers) Publisher's Twitter Followers : Online Rank : Google: 4 Alexa: 1238423 OSE Domain Authority Rank: 41/100 Marketing Grader Rank: 62/100 () Online Rank (Publisher) : Google: Alexa: News Source : Some Offline Audience Reached : National Outcome : Last updated : Oct 8, 2015 Attempts against the project : /Technology
What tools and code were used to create the project?
Tech Best Practices: : : : Code Repository : : Tool : : : : Database : : Frontend : : : : : Backend : : : : : Data Format : : Data Standard : Technical Documentation URL : : Technical Architecture Documentation : Schema Documentation : Design Documentation : API Documentation :Data Sources
Data Sources : : : : : :Team
Team size and expertise
Team Size : Medium Team Experience : Research : Dedicated Data Science : Some Engineering : Some Design : DedicatedProject Methodology
What strategies were in place for managing the project?
Project Methodology : Traditional Open Source : false Open Data : false Budget : Contracting : Iterative Risk Planning : No planning Sustainability Planning : UpdatedDocumented Practices
Documentation about project practices
Practices
How projects handle different aspects of data management
Data Modeling : Relational Ethical Collection : No guidelines Ethical Storage : Data Collection : Trained Collectors Data Collection : Data Verification : Corroborated Data Cleaning : Data Analysis : Classification / Tagging / Categories / Linking Data Description : false Data Licensing : Partial Ethical Publishing : Not documented Ethical Publishing : Data Publishing Mode : false