@inproceedings{dad0955e2d9642a196aa81d4dd20e329,
title = "Framing shifts of the Ukraine conflict in pro-russian news media",
abstract = "An important aspect of information operations (IO) are influence campaigns where a state actor or organizations under its control attempt to shift public opinion by framing information to support a narrative that facilitate their goals. If there is a playbook in operation, then in principle it should be possible to detect its signatures in mainstream media and to potentially provide early warning of malicious intent. This paper describes the results of a proof-of-concept effort where our goal was to detect framing shifts during the Ukraine conflict in pro-Russian news media surrounding the 2014 annexation of Crimea. Our results show significant framing shifts exceeding a smaller peak of 2010, in November 2013, and sharply spiking and trending again in Dec 2013, three-four months ahead of Crimea{\textquoteright}s annexation by the Russian Federation.",
keywords = "Framing analysis, Framing shifts detection, Time series data",
author = "Sultan Alzahrani and Nyunsu Kim and Mert Ozer and Ruston, {Scott W.} and Jason Schlachter and Corman, {Steve R.}",
note = "Funding Information: This project was supported by Lockheed Martin Advanced Technology Laboratories and used news feeds extracted from Lockheed Martin{\textquoteright}s ICEWS system. ICEWS is a program of record in the U.S. Department of Defense used by component agencies to track conflict events. During its operation, ICEWS collects and archives English-language and translations of foreign language articles from mainstream media sources and websites worldwide. We queried the ICEWS database for articles between 2010 and 2017, which mentioned Ukraine, and further constrained this dataset to stories which contained keywords believed to be associated with Russian propaganda (i.e. anti-facist, discrimination, second-class citizens, etc.). This resulted in a news corpus containing 103,912 articles. Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 11th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction conference and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2018 ; Conference date: 10-07-2018 Through 13-07-2018",
year = "2018",
doi = "10.1007/978-3-319-93372-6_34",
language = "English (US)",
isbn = "9783319933719",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "303--314",
editor = "Halil Bisgin and Robert Thomson and Ayaz Hyder and Christopher Dancy",
booktitle = "Social, Cultural, and Behavioral Modeling - 11th International Conference, SBP-BRiMS 2018, Proceedings",
}