Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts


  • Keith Burghardt USC Information Sciences Institute
  • Ashwin Rao University of Southern California
  • Georgios Chochlakis University of Southern California
  • Baruah Sabyasachee University of Southern California
  • Siyi Guo University of Southern California
  • Zihao He University of Southern California
  • Andrew Rojecki University of Illinois at Chicago
  • Shrikanth Narayanan USC Information Sciences Institute University of Southern California
  • Kristina Lerman USC Information Sciences Institute



Online manipulation is a pressing concern for democracies, but the actions and strategies of coordinated inauthentic accounts, which have been used to interfere in elections, are not well understood. We analyze a five million-tweet multilingual dataset related to the 2017 French presidential election, when a major information campaign led by Russia called "#MacronLeaks" took place. We utilize heuristics to identify coordinated inauthentic accounts and detect attitudes, concerns and emotions within their tweets, collectively known as socio-linguistic characteristics. We find that coordinated accounts retweet other coordinated accounts far more than expected by chance, while being exceptionally active just before the second round of voting. Concurrently, socio-linguistic characteristics reveal that coordinated accounts share tweets promoting a candidate at three times the rate of non-coordinated accounts. Coordinated account tactics also varied in time to reflect news events and rounds of voting. Our analysis highlights the utility of socio-linguistic characteristics to inform researchers about tactics of coordinated accounts and how these may feed into online social manipulation.




How to Cite

Burghardt, K., Rao, A., Chochlakis, G., Sabyasachee, B., Guo, S., He, Z., Rojecki, A., Narayanan, S., & Lerman, K. (2024). Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. Proceedings of the International AAAI Conference on Web and Social Media, 18(1), 164-176.