Here are papers and presentations related to this project:

Salam, Sayeed, Patrick Brandt, Vito D’Orazio, Jennifer Holmes, Javiar Osorio, and Latifur Khan. 2020. “An Online Structured Political Event Dataset Based on CAMEO Ontology.” SocArXiv. March 20. doi:10.31235/osf.io/vrt4a

Osorio, Javier, Viveca Pavon, Sayeed Salam, Jennifer S. Holmes, Patrick T. Brandt, and Latifur Khan. 2019. “Translating CAMEO Verbs for Automated Coding of Event Data” International Interactions. doi:10.1080/03050629.2019.1632304

Skorupa Parolin, Erick, Sayeed Salam, Latifur Khan, Patrick T. Brandt, Jennifer Holmes. 2019. “Automated Verbal-Pattern Extraction from Political News Articles using CAMEO Event Coding Ontology,” 2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelli- gent Data and Security (IDS), Washington, DC, USA, 2019, pp. 258-266. doi:10.1109/BigDataSecurity- HPSC-IDS.2019.00056

Kim, HyoungAh, Vito D’Orazio, Patrick T. Brandt, Jared Looper, Sayeed Salam, Latifur Khan, and Michael Shoemate. 2019. “UTDEventData: An R package to access political event data.” Journal of Open Source Software. 4(36), 1322, doi:doi:10.21105/joss.01322

Gunasekaran, Aswin, Maryam Bahjob Imani, Latifur Khan, Christan Grant, Patrick T. Brandt, and Jennifer S. Holmes. 2018. “SPERG: Scalable Political Event Report Geoparsing in Big Data” 2018 IEEE International Conference on Big Data (BigData 2018). December 10–13, 2018, Seattle, WA, USA. doi:10.1109/ISI.2018.8587373

Bagozzi, Benjamin, Patrick T. Brandt, John R. Freeman, Jennifer S. Holmes, Alisha Kim, Agustin Palao Medizabal, and Carly Potz-Nielsen. Forthcoming. “The Prevalence and Severity of Underreporting Bias in Machine and Human Coded Data” Political Science Research and Methods. doi:doi:10.1017/psrm.2018.11

Bagozzi, Benjamin, Patrick T. Brandt, John R. Freeman, Jennifer S. Holmes, Alisha Kim, Agustin Palao Medizabal, and Carly Potz-Nielsen. 2018. “The Prevalence and Severity of Underreporting Bias in Machine and Human Coded Data” Political Science Research and Methods. doi:doi:10.1017/psrm.2018.11

Salam, Sayeed, Patrick T. Brandt, Jennifer S. Holmes, Latifur Khan, 2018. “Distributed Framework for Political Event Coding in Real-Time,” 2018 2nd European Conference on Electrical Engineering and Computer Science (EECS), Bern, Switzerland, 2018, pp. 266-273. doi:10.1109/EECS.2018.00057.

Maryam Bahojb Imani, Swarup Chandra, Samuel Ma, Latifur Khan, Bhavani Thuraisingham. 2017. “Focus Location Extraction from Political News Reports with Bias Correction”. IEEE International Conference on Big Data (BIGDATA) 10.1109/BigData.2017.8258141

Soliamani, Mohiuddin, Latifur Khan, Sayeed Salaam, Vito D’Orazio, Patrick T. Brandt. 2017. “Automatic Political Actor Recommendation In Real-time”. International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS) 2017. https://doi.org/10.1007/978-3-319-60240-0_42

Brandt, Patrick T., Benjamin E. Bagozzi, Vito D’Orazio, Latifur Khan, and Yang Gao. 2017. “The Automated Discovery of Protest Stories From Text”, presented at the Democracy, the State and Protest Conference and Workshop at the Mershon Center for International Security Studies, The Ohio State University, Columbus, Ohio, May 11-12, 2017.

Solaimani, Mohiuddin, Salam Sayeed, Latifur Khan, Patrick T. Brandt and Vito D’Orazio, 2017. “Re-PAIR: Recommend political actors in real-time from news websites,” IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 1333-1340.

Solaimani, Mohiuddin, Sayeed Salam, Ahmad M. Mustafa, Latifur Khan, Patrick T. Brandt, and Bhavani Thuraisingham. 2016. “Near Real-Time Atrocity Event Coding”, IEEE Intelligence and Security Informatics (ISI) 2016, Tucson, Arizona USA, September 28-30, 2016. doi:https://www.researchgate.net/publication/307135171

Solaimani, Mohiuddin, Rajeevardhan Gopalan, Latifur Khan, Patrick T. Brandt, and Bhavani Thuraisingham. 2016. “Spark-based Political Event Coding”, IEEE BigdataService, Oxford, UK. doi:10.1109/BigDataService.2016.30

Brandt, Patrick T. “Generating Political Event Data in Near Real Time: Modernizing Political Event Data Collection and Use.” Political Data Science Conference, Washington University, St. Louis, May 12-13, 2016.