Panama Papers The
International Consortium of Investigative Journalists (ICIJ) used a commercial version of Linkurious and
Neo4j in the investigation of the
Panama Papers, uncovering 4.8 million leaked files consisting of emails, 3 million database entries, 2.2 million PDFs, 1.2 million images, 320,000 text files, and 2242 files, evidence of money laundering, tax evasion or political corruption.
Swiss Leaks The
ICIJ also utilized the software during the
Swiss Leaks investigation that revealed a massive tax evasion scheme in which 180.6 billion euros passed through
HSBC accounts.
FinCEN files In 2020, the
ICIJ used the software and
Neo4j to visualize and explore the
FinCEN Files’ 400 spreadsheets containing data on 100,000 transactions.
Pandora Papers In 2021, the
ICIJ leveraged the capabilities of Linkurious and
Neo4j once more to analyse the data from the
Pandora Papers. The leak involved 14 different offshore services firms and 11.9 million records, amounting to 2.94 terabytes. The network visualisations were able to help organise and explain the data.
Justice for Myanmar The campaign group
Justice for Myanmar used the software to map the financial connections of the Myanmar military and publish the "Cartel Finance Map".
Obsalytics The non-profit organization Obsalytics combined Linkurious and open data to understand the main power structures and financial flows in Syria.
The Sentry The
Sentry, a US-based investigative and policy organization that seeks to disable multinational predatory networks that benefit from violent conflict, repression, and
kleptocracy, uses Linkurious combined with Neo4j graph database to leverage over 150 million pieces of data for their investigations.
Media4change The "Karštos pėdos" tool developed by the international movement Media4change provides transparency around the connections between politicians and public figures and public-sector funding to journalists and to the general public. The organization used Linkurious technology to demonstrate how national and EU funds are used in Lithuania. == References ==