Multi-mode design for studying cyber aggression in texts, Facebook and Twitter messages among middle school youth

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Publication Details

Journal
American Journal of Epidemiology
Published
2026-09-10
DOI
https://doi.org/10.1093/aje/kwag222
Primary Topic
Bullying, Victimization, and Aggression
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-mode design for studying cyber aggression in texts, Facebook and Twitter messages among middle school youth

Alexis Grimes Trotter, Bao Nhia Xiong, Karen Heimer, Shelly Campo et al.
American Journal of Epidemiology
Bullying, Victimization, and Aggression
article

Multi-mode design for studying cyber aggression in texts, Facebook and Twitter messages among middle school youth

Alexis Grimes Trotter, Bao Nhia Xiong, Karen Heimer, Shelly Campo, Marizen Ramirez, N. Jeanie Santaularia, Corinne Peek‐Asa, Anthony Paik, Andrew Ryan, Octav Chipara, Padmini Snirivasan
article en

Abstract

With the explosion of the internet, cyber aggression has become one of the fastest growing forms of interpersonal violence. Methods used to understand aggressive communications content have been limited primarily to surveys. Here, we present multiple methods - panel surveys, electronic capture of social media, and Ecological Momentary Assessments - to characterize both behavioral and perceptual components of cyber aggression in a study of youth from two Iowa middle schools during the 2014-2015 school year. Youth completed a survey, and a sub-sample of smartphone owners installed an electronic application that collected over 150,000 text messages, Twitter posts, and Facebook posts. The sub-sample also participated in ecological momentary assessments to collect self-reported experiences of cyber aggression. To code for aggressive content in this large sample of messages, a case-control sampling strategy was used to identify a series of "case" messages from youth who reported aggression and "control" messages from youth who reported no aggression. We further present recruitment protocols, data management and qualitative coding methods as well as descriptive characteristics of the student cohort and nested sample of messages. These methods have potential use in future studies of "big data" captured from social media.

American Journal of Epidemiology
University of Iowa (US), University of Minnesota (US), University of Occupational and Environmental Health Japan (JP), University of Washington (US), Human Longevity (United States) (US)
Gender equality
Openalex Percentile: Top 7%
Bullying, Victimization, and Aggression
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