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Title: Tracking and Analyzing Individual Distress Following Terrorist Attacks Using Social Media Streams: Distress Following Terrorist Attacks
Award ID(s):
1634944 1423697 1634702
NSF-PAR ID:
10025842
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
Risk Analysis
ISSN:
0272-4332
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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  1. Abstract

    Several studies have analyzed longitudinal data on posttraumatic stress symptoms (PTSS) from individuals who were proximal to the September 11, 2001, terrorist attacks (9/11) in an attempt to identify different trajectories of mental health in the years following mass trauma. The results of these studies have been heterogeneous, with researchers who used latent growth mixture modeling (LGMM) tending to identify four trajectories and those who used group‐based trajectory modeling (GBTM) identifying five to seven trajectories. Given that no study has applied both GBTM and LGMM to their data, it remains unknown which modeling approach and what number of trajectories best fit post‐9/11 PTSS data. The present study aimed to address that question by applying both LGMM and GBTM to data from the largest sample of survivors to date, comprising 37,545 New York City community members. When analyzing four waves of PTSS, reflecting participants’ mental health up to 15 years post‐9/11, LGMM fit the data better than GBTM. Our optimal solution consisted of four trajectories: low‐stable (72.2% of the sample), decreasing (12.8%), increasing (9.5%), and high‐stable (5.5%) symptoms. Covariate analyses indicated that economic factors (i.e., having a household income less than $25,000 and experiencing job loss due to 9/11) increased the odds of belonging to the high‐stable symptom trajectory group to the greatest degree,ORs = 4.93–6.08. The results suggest that providing financial support, including affordable mental health care, could be an important intervention in the wake of future mass traumatic events.

     
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  2. Abstract

    Tragic events such as terrorist attacks have been shown to influence voters’ policy preferences, but less is known about whether such events also affect actual immigration policy. In this study, I bring new evidence to this question by examining whether migrant shipwrecks and terrorist attacks affected asylum decisions in France during the refugee crisis of 2015–16. I find that asylum officers were more likely to approve an individual's refugee application if a shipwreck has recently been in the news than they are otherwise. Yet they were less likely to grant refugee status to asylum seekers from Syria and Iraq after a terrorist attack. Together, these findings suggest that tragic events can affect immigration policy through their influence on asylum officers.

     
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