[24][25] The group led by Menczer has analyzed and modeled how memes, information, and misinformation spread through social media in domains such as the Occupy movement,[26][27] the Gezi Park protests,[28] and political elections.

[29] Data and tools from Menczer's lab have aided in finding the roots of the Pizzagate conspiracy theory[30] and the disinformation campaign targeting the White Helmets,[31] and in taking down voter-suppression bots on Twitter.

[33] Analysis by Menczer's team demonstrated the echo-chamber structure of information-diffusion networks on Twitter during the 2010 United States elections.

Ten years later, this work received the Test of Time Award at the 15th International AAAI Conference on Web and Social Media (ICWSM).

[35] As these patterns of polarization and segregation persist,[36] Menczer's team has developed a model that shows how social influence and unfollowing accelerate the emergence of online echo chambers.

[70] As social media have increased their countermeasures against malicious automated accounts, Menczer and coauthors have shown that coordinated campaigns by inauthentic accounts continue to threaten information integrity on social media, and developed a framework to detect these coordinated networks.

[73] Menczer and colleagues have shown that political audience diversity can be used as an indicator of news source reliability in algorithmic ranking.