How people talk about armed conflicts

Jeremy R. Cole, Ying Xu, David Reitter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationSocial, Cultural, and Behavioral Modeling - 9th International Conference, SBP-BRiMS 2016, Proceedings
EditorsNathaniel Osgood, Kevin S. Xu, David Reitter, Dongwon Lee
PublisherSpringer Verlag
Pages366-376
Number of pages11
ISBN (Print)9783319399300
DOIs
StatePublished - Jan 1 2016
Event9th 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 2016Jul 1 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9708 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2016
CountryUnited States
CityWashington
Period6/28/167/1/16

Fingerprint

Internet
Sentiment Analysis
Conflict
Voting
Express

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Cole, J. R., Xu, Y., & Reitter, D. (2016). How people talk about armed conflicts. In N. Osgood, K. S. Xu, D. Reitter, & D. Lee (Eds.), Social, Cultural, and Behavioral Modeling - 9th International Conference, SBP-BRiMS 2016, Proceedings (pp. 366-376). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9708 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-39931-7_35
Cole, Jeremy R. ; Xu, Ying ; Reitter, David. / How people talk about armed conflicts. Social, Cultural, and Behavioral Modeling - 9th International Conference, SBP-BRiMS 2016, Proceedings. editor / Nathaniel Osgood ; Kevin S. Xu ; David Reitter ; Dongwon Lee. Springer Verlag, 2016. pp. 366-376 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{21c04e735c1c40c6a6c3db1b050df2a2,
title = "How people talk about armed conflicts",
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.",
author = "Cole, {Jeremy R.} and Ying Xu and David Reitter",
year = "2016",
month = "1",
day = "1",
doi = "10.1007/978-3-319-39931-7_35",
language = "English (US)",
isbn = "9783319399300",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "366--376",
editor = "Nathaniel Osgood and Xu, {Kevin S.} and David Reitter and Dongwon Lee",
booktitle = "Social, Cultural, and Behavioral Modeling - 9th International Conference, SBP-BRiMS 2016, Proceedings",
address = "Germany",

}

Cole, JR, Xu, Y & Reitter, D 2016, How people talk about armed conflicts. in N Osgood, KS Xu, D Reitter & D Lee (eds), Social, Cultural, and Behavioral Modeling - 9th International Conference, SBP-BRiMS 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9708 LNCS, Springer Verlag, pp. 366-376, 9th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2016, Washington, United States, 6/28/16. https://doi.org/10.1007/978-3-319-39931-7_35

How people talk about armed conflicts. / Cole, Jeremy R.; Xu, Ying; Reitter, David.

Social, Cultural, and Behavioral Modeling - 9th International Conference, SBP-BRiMS 2016, Proceedings. ed. / Nathaniel Osgood; Kevin S. Xu; David Reitter; Dongwon Lee. Springer Verlag, 2016. p. 366-376 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9708 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - How people talk about armed conflicts

AU - Cole, Jeremy R.

AU - Xu, Ying

AU - Reitter, David

PY - 2016/1/1

Y1 - 2016/1/1

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.

UR - http://www.scopus.com/inward/record.url?scp=84990935757&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84990935757&partnerID=8YFLogxK

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

ER -

Cole JR, Xu Y, Reitter D. How people talk about armed conflicts. In Osgood N, Xu KS, Reitter D, Lee D, editors, Social, Cultural, and Behavioral Modeling - 9th International Conference, SBP-BRiMS 2016, Proceedings. Springer Verlag. 2016. p. 366-376. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-39931-7_35