Infocry

Infocry is the chorus machine for retaining inauthentic voices • They were trained on our pains and fears__to amplify them in comment sections / and when it already feels unbearable、 they propose “relief” — sometimes in the form of physical damage participation。
Can a regular internet user recognize them? After large language models__ almost not anymore. They can generate dozens of variations of the same narratives • mimicking us through small human-like errors and typos ┐— Detection is now possible mostly at scale — through the automated reading of behavioral patterns across vast datasets ◇ where repetition becomes visible again.
To gather these comments, we used Osavul, an AI-powered software that analyzes vast amounts of text data, grouping similar comments together. This process allows for the identification of patterns among seemingly independent statements, revealing coordinated narratives across different users and publications. Then additionally we used OSINT methods and Network analysis to verify final results.
Infocry originates from the concept of a Greek chorus • a foundational element of Greek tragedy • that helped shape modern democracy and the principles of political equality as a representation of regular people’s voices。 Nowadays —— the weaponized chorus turns our emotional responses into / infrastructures for cyberwar propagation / 。
*This is an ongoing project and the number of countries is constantly growing. At the moment, we have Moldova, Germany, Poland, Switzerland, Slovenia, and the Netherlands set in our network.
The project was firstly implemented during the Truth to Justice Residency by Vitsche (Germany), curated by Kseniia Malykh, and upgraded through the DATAS residency with a great support of the ATOL Project and Edina Muftic.̩̩͙