Network Science Research Lab (NRL)

Publications

  1. Kenney, W., & Leberknight, C. (2021). User Demographics and Censorship on Sina Weibo. In Proceedings of the 54th Hawaii International Conference on System Sciences (p. 2709).
  2. Ng Kei Y., Feldman A., Peng J., and Leberknight, C. 2019. Neural Network Prediction of Censorable Language. In Proceedings of the 3rd Workshop on NLP and Computational Social Science (NLP+CSS) held in conjunction with NAACL 2019
  3. Leberknight, C., Feldman, A. (2019).  Leveraging NLP and Social Network Analytic Techniques to Detect Censored Keywords:  System Design and Experiments 52nd Hawaii International Conference on System Sciences (HICSS) Maui, Hawaii, USA.
  4. Miller, K., Leberknight, C. (2019).  cOOKie, a Tool for Developing RF Communication Systems for the Internet of Things 52nd Hawaii International Conference on System Sciences (HICSS) Maui, Hawaii, USA.
  5. Joyce, E., Goldeck, M., Leberknight, C. S., & Feldman, A. (2018, December). Apollo: A System for Tracking Internet Censorship. In Proceedings of the 13th Pre-ICIS Workshop on Information Security and Privacy (Vol. 1).
  6. Leberknight, C., Raveendran, N. (2018, August). Internet Censorship and Economic Impacts: A case study of Internet outages in India. 24th AMCIS 2018 Proceedings, 317.
  7. Ng Kei Y., Feldman A., Peng J. and Leberknight, C. (2018, August). Linguistic Characteristics of Censorable Language on SinaWeibo. In Proceedings of The COLING 1st Natural Language Processing for Information Freedom workshop)
  8. Ng, K. Y., Feldman, A., & Leberknight, C. (2018, July). Detecting Censorable Content on Sina Weibo: A Pilot Study. In Proceedings of the 10th Hellenic Conference on Artificial Intelligence (p. 41). ACM.
  9. Kaplun, K., Leberknight, C., & Feldman, A. (2018, July). Controversy and Sentiment: An Exploratory Study. In Proceedings of the 10th Hellenic Conference on Artificial Intelligence (p. 37). ACM.
  10. Kaplun, K., Leberknight, C., & Feldman, A. (2018, May). A Comparison of Lexicons for Detecting Controversy. In Proceedings of the LREC 2018 Workshop: Natural Language Processing meets Journalism III, Miyazaki (Japan)

 

Grants

  1. National Science Foundation: “REU SITE: Enhancing Undergraduate Research Experiences in Cybersecurity and Privacy-Enhanced Technologies”, (Award Number:2050548); Principal Investigator:Bharath Samanthula; Co-Principal Investigator:Boxiang Dong, Leberknight, C. Senior Personnel, $395, 470, May 2021 – February 2024
  2. National Science Foundation: “A Linguistically-Informed Approach for Measuring and Circumventing Internet Censorship,” (Award Number:1704113), PI Leberknight, C., Co-PI Feldman, A. $1,040,850, August 1, 2016 – July 31, 2022
  3. National Science Foundation: “MRI: Acquisition of a High Performance Computing Environment for Advancement of Computational Science Research and Education,” (Award Number:1625636), Leberknight, C. Senior Personnel, $497,057, September 15, 2016 – August 31, 2020
  4. National Science Foundation: “The NECST Program: Networking and Engaging in Computer Science and Technology in Northern New Jersey Program,” (Award Number:1259758), PI Herbert, K., Co-PI Leberknight, C., $619,575, June 1, 2013 – May 31, 2018