Curriculum Vitae

Select Publications

Lukito, J., Suk, J., Zhang, Y., Doroshenko, L., Su, M.-H., Kim, S. J., Xia, Y. & Wells, C. (In Press). Hacking the message amplification cycle: How Russia’s Internet Research Agency infiltrated American political journalism. International Journal of Press/Politics.

Lukito, J. (2019). Coordinating Disinformation: Understanding IRA activity on three U.S. social media platforms, 2015 to 2017. Political Communication.

Wells, C., Shah, D. V., Pevehouse, J. C., Yang, J., Pelled, A., Boehm, F., Lukito, J. , Ghosh, S. & Schmidt, J. L. (2016). How Trump drove coverage to the nomination: Hybrid media campaigning. Political Communication, 33(4), 669-676.

Golan, G.J. & Lukito, J. (2015). The rise of the dragon? Framing China's global leadership in elite American newspapers. International Communication Gazette, 77(8), 754-772.

Lukito, J., & Tajima, A. (2014). Two national newspapers cover recession distinctively. Newspaper Research Journal, 35(3), 66-80.

Select Conferences

Doroshenko, L. & Lukito, J. (2019). Trollfare: Russia’s disinformation campaign during military conflict in Ukraine. Paper presented to the 2019 Annual Conference for the Association for Education in Journalism and Mass Communication (AEJMC). [Top Student Paper, International Communications Division]

Lukito, J., Loya, G., Davalos, C., Li, J., Tong, C. & McLeod, D. (2019). #DonateNow!: A computer assisted analysis of musician’s political engagement on Twitter” Paper accepted to the Annual Conference for AEJMC. [Third Place Student Paper, Political Communication Division]

Lukito, J., Suk, J., Zhang, Y., Doroenko, L., Kim, S., Su, M.-H., Suk, J., Xia, Y., Freelon, D., & Wells, C. (2017). Zero Day Twitter: How Russian Propaganda Infiltrated the U.S. Hybrid Media System. Paper to be presented at the Annual Association for Education in Journalism and Mass Communication (AEJMC). [Top Paper, Political Communication Interest Group; Third Place, AEJMC Professional Relevance Research Prize]

Lukito, J. & Conathan, D. (2017). A case study using syntax dependencies to find differences between news and non-news tweets. Paper presented to the Computational Methods Interest Group at the Annual Conference of ICA, San Diego, CA.

Lukito, J. (2017). Abstract language as a framing device. Paper presented to the Mass Communication Division at the Annual Conference of the International Communication Association, San Diego, CA.

Yang, J., Sangar, A., Duncan, M., Zhang, Y., Kornflit, R. Lukito, J., Kim, S., Wu, Y. & Cao, D. (2017). Obamacare and political polarization on Twitter: An application of machine learning and social network analysis. Paper presented to the Communication and Technology Division at the Annual Conference of the International Communication Association, San Diego, CA.

Lukito, J. (2015). Language abstractness as discursive microframes: LCM framing in American coverage of international news. Paper presented at the AEJMC Conference, San Francisco, CA [Second Place Top Student Paper, International Communications Division].

Other Publications

Lukito, J. & Wells, C.,  (2018, March 8). "Most major outlets have used Russian tweets as sources for partisan opinion: study." Columbia Journalism Review. Retrieved from https://www.cjr.org/analysis/tweets-russia-news.php . [Article quoted in the 2019 Mueller Report]

Lukito, J. & Wells, C., Zhang, Y., Doroshenko, L., Kim, S. J., Su, M.-H., Suk, J., Xia, Y.,& Freelon, D.   (2018, March 8). "The Twitter exploit: How Russian propaganda infiltrated U.S. news" [Research Paper.] Retrieved from https://uwmadison.box.com/v/TwitterExploit . 

Group Affiliations

Center for Media Engagement, UT-Austin

Good Systems, UT-Austin

Mass Communication Research Center, UW-Madison

Organizational Positions

Student and Early Scholar Representative, Computational Methods Interest Group, International Communication Association

AEJMC Midwinter Chair, Political Communication Division, Association for the Education of Journalism and Mass Communication

Courses Taught

Computational Media & Data Science (J381M, UT-Austin)