Skip to main content

Sensing Distress Following a Terrorist Event

  • Conference paper
  • First Online:
Social, Cultural, and Behavioral Modeling (SBP-BRiMS 2016)

Abstract

Terrorism aims to cause the psychological instability in the targeted population. Social psychological research through traditional methods, like surveys or interviews, have provided insights for understanding the psychological effects of such traumatic events. However, these studies are costly and usually are reported with a significant delay after the events. With the allure of social media, we are provided with a unique opportunity to gather timely psychological signals from publicly available Twitter data. In this study, we collected more than 4 million tweets from 16 K Paris users. We present our analysis of the immediate emotional response as well as the subsequent recovery process following the Paris attacks. Our analysis shows that, immediately after the attacks, a greater level of anxiety was associated with locations closer to the attack site. Users’ emotional shift gradually returned to the pre-impact status over days to weeks, while the emotional trajectories vary with the degrees of users’ social interactions. The analysis further reveals a significant impact of media exposure on the recovery process. This study provides both theoretical and practical implications for understanding users’ emotional vulnerability and resilience concerning mass violence events.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Beevers, C.G., Hixon, J.G.: Individual differences in stress physiology: understanding person by situation influences (2011)

    Google Scholar 

  2. Sutton, J., Palen, L., Shklovski, I.: Backchannels on the front lines: emergent uses of social media in the 2007 southern California wildfires. In: Proceedings of ISCRAM (2008)

    Google Scholar 

  3. Castillo, C., Mendoza, M., Poblete, B.: Information credibility on twitter. In: WWW (2011)

    Google Scholar 

  4. Caragea, C., Squicciarini, A., Stehle, S., et al.: Mapping moods: geo-mapped sentiment analysis during hurricane sandy. In: Proceedings of ISCRAM (2014)

    Google Scholar 

  5. Lin, Y.-R., Margolin, D.: The ripple of fear, sympathy and solidarity during the boston bombings. EPJ Data Sci. 3(1), 31 (2014)

    Article  Google Scholar 

  6. Panzer, A.M., Butler, A.S., et al.: Preparing for the Psychological Consequences of Terrorism: A Public Health Strategy. National Academies Press, Washington, D.C. (2003)

    Google Scholar 

  7. Rodriguez-Llanes, J.M., Vos, F., et al.: Measuring psychological resilience to disasters: are evidence-based indicators an achievable goal. Environ. Health 12, 115 (2013)

    Article  Google Scholar 

  8. Bonanno, G.A., Brewin, C.R., Kaniasty, K., La Greca, A.M.: Weighing the costs of disaster consequences, risks, and resilience in individuals, families, and communities. Psychol. Sci. Public Interest 11(1), 1–49 (2010)

    Article  Google Scholar 

  9. Silver, R.C., Holman, E.A., McIntosh, D.N., Poulin, M., et al.: Nationwide longitudinal study of psychological responses to September 11. Jama 288(10), 1235–1244 (2002)

    Article  Google Scholar 

  10. Schlenger, W.E., Caddell, J.M., Ebert, L., et al.: Psychological reactions to terrorist attacks: findings from the national study of Americans’ reactions to September 11. Jama 288(5), 581–588 (2002)

    Article  Google Scholar 

  11. Cohen, S., Wills, T.A.: Stress, social support, and the buffering hypothesis. Psychol. Bull. 98(2), 310 (1985)

    Article  Google Scholar 

  12. Helgeson, V.S.: Social support and quality of life. Qual. Life Res. 12(1), 25–31 (2003)

    Article  Google Scholar 

  13. Thomas, M., Tsai, C.I.: Psychological distance and subjective experience: how distancing reduces the feeling of difficulty. J. Consum. Res. 39(2), 324–340 (2012)

    Article  Google Scholar 

  14. Saslow, L.R., McCoy, S., et al.: Speaking under pressure: low linguistic complexity is linked to high physiological and emotional stress reactivity. Psychophysiology 51(3), 257–266 (2014)

    Article  Google Scholar 

  15. Lin, Y.-R., Margolin, D., Keegan, B., Lazer, D.: Voices of victory: a computational focus group framework for tracking opinion shift in real time. In: WWW (2013)

    Google Scholar 

  16. Coppersmith, G., Dredze, M., Harman, C.: Quantifying mental health signals in twitter. In: ACL (2014)

    Google Scholar 

  17. Pennebaker, J.W., Francis, M.E., Booth, R.J.: Linguistic Inquiry and Word Count: LIWC 2001. Lawrence Erlbaum Associates, Mahway (2001)

    Google Scholar 

  18. De Choudhury, M., Gamon, M., Counts, S., Horvitz, E.: Predicting depression via social media. In: ICWSM (2013)

    Google Scholar 

  19. Cohn, M.A., Mehl, M.R., Pennebaker, J.W.: Linguistic markers of psychological change surrounding September 11, 2001. Psychol. Sci 15(10), 687–693 (2004)

    Article  Google Scholar 

  20. Bunney, B.S.: The psychological aftermath of disasters

    Google Scholar 

  21. Slatcher, R.B., Chung, C.K., Pennebaker, J.W., Stone, L.D.: Winning words: individual differences in linguistic style among us presidential and vice presidential candidates. J. Res. Pers. 41(1), 63–75 (2007)

    Article  Google Scholar 

  22. Curran, P.J., Obeidat, K., Losardo, D.: Twelve frequently asked questions about growth curve modeling. J. Cogn. Dev. 11(2), 121–136 (2010)

    Article  Google Scholar 

  23. Zheng, Z., Pavlou, P.A., Bin, G.: Latent growth modeling for information systems: theoretical extensions and practical applications. ISR 25(3), 547–568 (2014)

    Article  Google Scholar 

  24. Keogh, E., Hatton, K., Ellery, D.: Avoidance versus focused attention and the perception of pain: differential effects for men and women. Pain 85(1), 225–230 (2000)

    Article  Google Scholar 

  25. Cohen, S., McKay, G.: Social support, stress and the buffering hypothesis: a theoretical analysis. Handb. Psychol. Health 4, 253–267 (1984)

    Google Scholar 

  26. Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion mining (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu-Ru Lin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Wen, X., Lin, YR. (2016). Sensing Distress Following a Terrorist Event. In: Xu, K., Reitter, D., Lee, D., Osgood, N. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2016. Lecture Notes in Computer Science(), vol 9708. Springer, Cham. https://doi.org/10.1007/978-3-319-39931-7_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-39931-7_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39930-0

  • Online ISBN: 978-3-319-39931-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics