Email address: baryshev@utexas.edu
Hometown: Norwalk, CT
B.S. Degree: Psychology
M.A. Degree: Communication Studies
Current Research Interests: Deception, persuasion, dark side communication, and cyber crime
Faculty Advisor: Matthew McGlone
Expected Graduation Date: May 2019
Baryshevtsev, M. (2016). The dark side of persuasion: Frequency of persuasive appeals predict phishing scam detectability. Poster accepted at the annual meeting of the National Communication Association.
Baryshevtsev, M., McGlone, M., McGlynn, J., & Griffin, Z. (2016). Visual attention predicts email scam detection: An eye-tracking approach. Paper accepted at the annual meeting of the National Communication Association.
Baryshevtsev, M. (2015). Understanding predator luring behavior: Linguistic analysis of online sexual predator pronoun use. Paper presented at the annual meeting of the National Communication Association.
Baryshevtsev, M. (2015). Phishing and the economy. Paper accepted at ID360: The Global Forum on Identity.
McGlone, M., Ballard, D., Berkelaar, B., Baryshevtsev, M., & Brown, L. (2015). The “Identity Literacy” Scale: A preliminary report. Paper presented at ID360: The Global Forum on Identity.
Ballard, D., McGlone, M., Berkelaar, B., Baryshevtsev, M., & Brown, L. (2015). Convenience vs. security for mobile wallet use. Paper presented at ID360: The Global Forum on Identity.
Baryshevtsev, M. (2014). Impression manipulativeness and frequency of lying: A pilot study. Paper presented at the annual meeting of the National Communication Association.
McGlone, M., McGlynn III, J., LeFebvre, L., Blackburn, K., McCallum, N., Wartel, M., & Baryshevtsev, M. (2014). Hail to the thief: linguistic
agency vs. nominalization in fear appeals about identity theft. Paper presented at the annual meeting of the National Communication
Association.
McGlone, M. & Baryshevtsev, M. (In Press). Lying and quotation. In J. Meibauer (Ed.), Oxford Handbook of Lying (pp. xx - xx). Oxford Press
Moody College of Communication Fellowship
Graduate Recruitment Fellowship
Best Student Research Award
Outstanding M.A. Student
