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Data Mining Trauma: AI-Assisted Qualitative Study of Cyber Victimization on Reddit
J'Andra Antisdel1,2, Wendy R Miller1, Doyle Groves1
1Center for Enhancing Quality of Life in Chronic Illness, School of Nursing, Indiana University Indianapolis, 600 Barnhill Drive, Indianapolis, IN, 46202, United States, 1 574-703-4472.
JMIR Infodemiology
|September 3, 2025
Summary
This study used data mining to analyze Reddit discussions on cyber victimization, revealing six key themes including psychological impact and coping strategies. Findings highlight AI
Area of Science:
- Computational Social Science
- Cyberpsychology
- Digital Health
Background:
- Cyber victimization poses significant risks, particularly for vulnerable individuals unaware of online dangers.
- Limited research exists on identifying at-risk individuals in healthcare settings and understanding their cyber victimization experiences.
- Psychological and developmental factors influence susceptibility to cyber threats and subsequent distress.
Purpose of the Study:
- To analyze user-described experiences of cyber victimization on the social media platform Reddit.
- To employ data mining and computational analysis of unsolicited data for qualitative insights into cyber victimization.
Main Methods:
- Computational qualitative study utilizing data mining and Word Adjacency Graph (WAG) modeling.
- Analysis of 13,381 Reddit posts from 2012-2023 in r/cyberbullying and r/bullying subreddits.
- Assisted by GPT-4 for post summarization and cluster labeling, with rigorous review for relevance and anonymity.
Main Results:
- Identified 35 relevant clusters from 38 generated by WAG modeling.
- Six overarching themes emerged: psychological impact, coping/healing, online/offline protection, varied settings of victimization, and seeking understanding.
- A significant increase in posts from 2019-2023 (94.9%) compared to 2012-2018 (5.1%) indicates evolving cyber victimization discussions.
Conclusions:
- Data mining and AI are effective tools for qualitative analysis of large public datasets.
- Findings can inform future research on risky online behaviors and victimization.
- Methods can aid in developing assessment strategies for cyber victimization within healthcare settings.
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