🖥️ Technostress
Mapping occupational stress patterns among tech employees from anonymous online discussions
Based on: Analyzing Stress Patterns Among Tech Employees: A Study of Online Discussions (Ahmad, 2026) — VADER sentiment analysis + LDA topic modeling over the JD-R (Job Demands–Resources) organizational psychology framework.
Runs the live collector (src/stackexchange_scraper.py) against
Stack Exchange + Hacker News right now, then the full processing
pipeline, and swaps the Dashboard over to the real results.
Paste any work-related post or comment to see how the pipeline would classify it — sentiment (VADER), inferred career stage (Table 4 keyword logic), and flagged crunch-culture language.
Research design: Mixed-Methods Exploratory Sequential Design (Section 3.1) — quantitative VADER sentiment scoring across N=5,000 posts/comments, followed by manual thematic coding (Braun & Clarke, 2006) of a random N=500 negative subsample.
Data sources: Stack Exchange (workplace.stackexchange.com,
softwareengineering.stackexchange.com) and Hacker News, selected respectively
for direct workplace/career venting and high senior-developer concentration
(Table 3 — updated from the paper's original Reddit-based design after Reddit
Data API research access was denied; see docs/METHODOLOGY.md).
Pipeline stages:
src/stackexchange_scraper.py— Stack Exchange API + Hacker News extraction, SHA-256 author hashing, and company-name anonymization (Section 3.5).src/preprocessing.py— URL/emoji stripping, stopword removal, bot/ad exclusion.src/career_stage_classifier.py— Table 4 keyword-based career-stage inference.src/sentiment_analysis.py— VADER compound scoring, threshold ≤ −0.05 = Stressed.src/topic_modeling.py— LDA topic discovery mapped onto the five stress clusters from the Conceptual Framework (Section 2.4).src/statistical_analysis.py— ANOVA by career stage, crunch-sentiment correlation, monthly temporal trough detection.src/validation.py— gold-standard precision/recall, Cohen's Kappa for inter-rater reliability, VADER↔transformer triangulation.
Full code: see the src/ directory of this Space's repository.