Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | Social, Cultural, and Behavioral Modeling - 9th International Conference, SBP-BRiMS 2016, Proceedings |
| Editors | Nathaniel Osgood, Kevin S. Xu, David Reitter, Dongwon Lee |
| Publisher | Springer Verlag |
| Pages | 366-376 |
| Number of pages | 11 |
| ISBN (Print) | 9783319399300 |
| DOIs | |
| State | Published - 2016 |
| Event | 9th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2016 - Washington, United States Duration: Jun 28 2016 → Jul 1 2016 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 9708 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 9th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2016 |
|---|---|
| Country/Territory | United States |
| City | Washington |
| Period | 6/28/16 → 7/1/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 16 Peace, Justice and Strong Institutions
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- General Computer Science
Fingerprint
Dive into the research topics of 'How people talk about armed conflicts'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver