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Computational Approaches to Human Behavior: PhD Thesis Defense - Alina Herderich

2025
computational social science
computational psychology
psychometrics
measurement validity
text-as-data
construct mining pipeline
psychological constructs
open-ended responses
sentence embeddings
sentence transformers
item bias
debiasing
semantic space
clustering
HDBSCAN
intrusion task
human validation
taxonomy induction
emotion regulation
emotion regulation strategies
reappraisal
suppression
emotion regulation flexibility
situation modification
information seeking
self-enhancement
mixed methods
qualitative analysis
annotation scheme
supervised learning
XLM-RoBERTa
class imbalance
iterative labeling
confident examples
data quality
hate speech
counter-speech
collective moderation
toxicity
Perspective API
group rhetoric
argumentation strategies
emotions in text
anger
fear
ARDL
time-series analysis
matching
observational study
German Twitter
scalability
platform dynamics

This PhD defense presents computational approaches to human behavior across two domains. First, a construct-mining pipeline uses open-ended responses, sentence embeddings, debiasing, HDBSCAN clustering, and intrusion validation to derive a data-driven taxonomy of emotion regulation strategies. Second, mixed-methods and classifiers analyze German Twitter, linking counter-speech styles to hate reduction at scale.

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