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Disinformation Detection

Fake news and misinformation destroys trust, the most basic tenet of our society. These acts exploit the use of social media, using it as a weapon to distort perception and decision-making.  


REPSHIELD detects, analyzes, and removes fake automated pressure campaigns. We expose the users — both inauthentic and authentic — acting to coordinate negative attacks, maliciously trying to harm the reputation of companies and public-sector entities. 


Using high-end technology and a tried-and-tested methodology, we aim to cooperate with social media platforms to remove forbidden Coordinated Inauthentic Behavior. 

Case study: Malicious Bots

An international brand planned to launch once again its yearly global project, seeking the active and live involvement of global audiences. Before launch, it has discovered the first signs of a massive influence campaign in social media that aimed to damage the brand by spreading negative content to millions of users. 

This malicious campaign attacked the brand on social media platforms, smearing its reputation, reaching more than 10 million of the brand’s fans and followers, aiming to influence them to take an active role in attacking the brand. 



Technological tools collected Open-Source Intelligence (OSINT) about the campaign’s evolution, origins, and virtual links between various actors. We found suspicious Coordinated Inauthentic Behavior. 


Further analysis exposed a wide network of coordinated activity powered by bots, trolls, and fake users, operating from Asia and Europe. These malicious actors vigorously violated social media platforms' bi-laws. 


We delivered the social media platforms with a comprehensive report containing a list of the network's bots, trolls, and fake users, and their coordinated inauthentic behavior (CIB) to attack the brand. 


  • Social media platforms banned and removed the malicious bots, trolls, and fake users for good

  • The brand got to continue its planned project successfully, with minimum damage done to its reputation 


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