TY - GEN
T1 - How people talk about armed conflicts
AU - Cole, Jeremy R.
AU - Xu, Ying
AU - Reitter, David
N1 - Funding Information:
This research was supported by the National Science Foundation under grants titled "Updating the Militarized Dispute Data Through Crowdsourcing" (SBE-SES-1528624) and "Alignment in webforum discourse" (CISE-IIS-1459300).
PY - 2016
Y1 - 2016
N2 - Armed conflicts around the world produce displacement, injury, and death. This study examines how anonymous and pseudonymous Internet commenters discuss such conflicts. Specifically, we ask how permissible it is to express positive or negative sentiments about these conflicts as a function of variables including region, conflict nature, and severity. Data from the Armed Conflicts Database is aggregated to identify a number of potential factors that may influence views on acceptable sentiments. We used sentiment analysis to code a large-scale sample of the Reddit corpus. We judged permissibility using the Reddit voting features. This revealed that positive sentiments are found not permissible for higher numbers of fatalities, and that negative sentiments are found to be more permissible for certain regions and older conflicts, but less permissible for territorial conflicts. Thus, this study provides evidence that many features help construct public perception of a conflict.
AB - Armed conflicts around the world produce displacement, injury, and death. This study examines how anonymous and pseudonymous Internet commenters discuss such conflicts. Specifically, we ask how permissible it is to express positive or negative sentiments about these conflicts as a function of variables including region, conflict nature, and severity. Data from the Armed Conflicts Database is aggregated to identify a number of potential factors that may influence views on acceptable sentiments. We used sentiment analysis to code a large-scale sample of the Reddit corpus. We judged permissibility using the Reddit voting features. This revealed that positive sentiments are found not permissible for higher numbers of fatalities, and that negative sentiments are found to be more permissible for certain regions and older conflicts, but less permissible for territorial conflicts. Thus, this study provides evidence that many features help construct public perception of a conflict.
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U2 - 10.1007/978-3-319-39931-7_35
DO - 10.1007/978-3-319-39931-7_35
M3 - Conference contribution
AN - SCOPUS:84990935757
SN - 9783319399300
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 366
EP - 376
BT - Social, Cultural, and Behavioral Modeling - 9th International Conference, SBP-BRiMS 2016, Proceedings
A2 - Osgood, Nathaniel
A2 - Xu, Kevin S.
A2 - Reitter, David
A2 - Lee, Dongwon
PB - Springer Verlag
T2 - 9th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2016
Y2 - 28 June 2016 through 1 July 2016
ER -