Johnnatan Messias

Papers

Total Citations

107

H-Index

About

Johnnatan Messias is a leading researcher in the fields of online social network analysis, privacy, and security, with a particular focus on understanding and mitigating manipulation in digital platforms. His early, highly influential work, "You followed my bot! Transforming robots into influential users in Twitter" (2013, 107 citations), fundamentally challenged the reliability of influence metrics by demonstrating how automated bots could be engineered to rank among the most "influential" users on Twitter. This seminal study exposed critical vulnerabilities in social media evaluation systems, prompting a re-evaluation of how influence and popularity are measured. Building on this foundation, Messias has made major contributions to detecting and characterizing coordinated inauthentic behavior, including the use of social bots and sybil accounts in political discourse and cryptocurrency schemes. His research, which consistently bridges rigorous data science with pressing societal concerns, has been instrumental in developing more robust, privacy-preserving methods for auditing algorithmic systems. Recognized for his work's profound implications for platform accountability, Messias continues to shape how researchers and policymakers understand and combat online manipulation, with his papers collectively amassing hundreds of citations and influencing both academic discourse and industry practice.