0698daea69
- Add DE-Platform-Media (DS-00015), DE-Epistemic-Competence (DS-00016), DE-Social-Mobility (DS-00017) with source stubs - Update DE-Democracy-Metrics, DE-Federal-Budget, DE-Lobby-Transparency, DE-Parliament-Activity, Knowledge-Worker salaries - Add get-de-digital script for digital economy data retrieval - Update de-plan1-sven with revised strategy sections - Rename flat-dir index files to .md (Arguments, Claims, Problems, Values) - Append new entries to Data/UPDATES.md Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
129 lines
5.1 KiB
Markdown
129 lines
5.1 KiB
Markdown
# DE Platform & Media
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**Last Updated:** 2026-04-20
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**Update Method:** Eurostat via `bun get-de-digital`; Reuters DNR + ARD/ZDF Onlinestudie manual (annual)
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**Coverage:** Digital media use, platform participation, news consumption — Germany
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---
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## 🎯 BEST ESTIMATE
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| Metric | Value | Confidence | Last Updated |
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|--------|-------|------------|--------------|
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| **Social network participation** | **59.2% of all individuals** | 95% | 2025 (Eurostat) |
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| **Online news reading** | **64.2% of all individuals** | 95% | 2025 (Eurostat) |
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| **Trust in news overall** | **~47%** | 75% | 2024 (Reuters DNR) |
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| **Social media as news source** | **~28%** | 75% | 2024 (Reuters DNR) |
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| **Active news avoidance** | **~36%** | 75% | 2024 (Reuters DNR) |
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| **WhatsApp monthly reach** | **~79%** | 80% | 2024 (ARD/ZDF) |
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**One-liner:** 59% use social networks; 47% trust news; 36% actively avoid it.
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**Caveat:** Eurostat measures participation rate (ever used in last 3 months), not daily active use — actual platform dependency is higher than these figures suggest.
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---
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## Quick Context
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Germany's digital media landscape shows a population where most citizens are online and read news digitally, but a significant third actively avoids news — and trust in news remains moderate despite relatively high press freedom. Platform infrastructure is dominated by US-owned services (Meta, Google/YouTube, ByteDance/TikTok) with no comparable European alternatives at scale.
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---
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## Methodology Summary
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**Approach:** Eurostat live API fetch (isoc_ci_ac_i) for standardized EU-comparable indicators; Reuters Institute Digital News Report 2024 for news trust and platform-as-news data; ARD/ZDF Onlinestudie 2024 for platform-specific monthly reach.
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**Sources:**
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- Eurostat: isoc_ci_ac_i — Internet use indicators, % of all individuals, Germany (annual)
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- Reuters Institute for the Study of Journalism: Digital News Report 2024, Germany country data
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- ARD/ZDF Onlinestudie 2024 (annual German media study)
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**Definition Used:** "Participation" = used the activity in the last 3 months before survey.
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---
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## Detailed Findings
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### Eurostat — Digital Activity Indicators (Germany, % all individuals)
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| Indicator | 2023 | 2024 | 2025 |
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|-----------|------|------|------|
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| Social networks participation | 48.6% | 58.0% | 59.2% |
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| Online news reading | 59.0% | 62.9% | 64.2% |
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| Video/voice calls | 63.8% | 76.1% | 78.7% |
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| Internet banking | 57.2% | 66.9% | 70.7% |
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| Finding information online | — | — | 80.1% |
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| Email use | — | — | 87.8% |
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| Online courses | 8.9% | 10.1% | 10.1% |
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*Source: Eurostat isoc_ci_ac_i. Fetch script: `bun get-de-digital`. Full data: `eurostat-digital-de.csv`*
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Note: Sharp jump in social networks (48.6% → 58.0% 2023→2024) may reflect methodology change or post-pandemic normalization.
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### Reuters Institute Digital News Report 2024 — Germany
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| Metric | Value |
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|--------|-------|
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| Trust in news overall | ~47% |
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| Use social media as main news source | ~28% |
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| Actively avoid news | ~36% |
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| YouTube for news (weekly) | ~15% |
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| TikTok for news (weekly) | ~7% |
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| Online news reach (weekly) | ~73% |
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*Source: Reuters Institute for the Study of Journalism, Digital News Report 2024. Manual update required.*
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### ARD/ZDF Onlinestudie 2024 — Platform Monthly Reach (Germany)
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| Platform | Monthly Reach |
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|----------|--------------|
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| WhatsApp | ~79% |
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| YouTube | ~55% |
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| Facebook | ~47% |
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| Instagram | ~34% |
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| TikTok | ~18% |
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| X (Twitter) | ~13% |
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*Source: ARD/ZDF Onlinestudie 2024. Manual update required annually.*
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---
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## Source Analysis
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### Why These Sources?
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| Source | Strengths | Weaknesses | Weight |
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|--------|-----------|------------|--------|
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| **Eurostat isoc_ci_ac_i** | EU-standardized, annual, free API, 20+ year time series | Measures any-use-in-3-months (broad definition), lags 1 year | Very High |
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| **Reuters DNR** | Dedicated news consumption study, consistent Germany sample, cross-national comparable | Annual PDF, no API, Germany N ~2,000 | High |
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| **ARD/ZDF Onlinestudie** | Germany's most comprehensive digital media study, large sample | Annual publication, Germany-only, no API | High |
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---
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## Research Metadata
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| Attribute | Value |
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|-----------|-------|
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| **Research Date** | 2026-04-20 |
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| **Researcher** | Sven / PAI |
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| **Method** | Eurostat live API (`bun get-de-digital`) + manual from 2024 annual reports |
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| **Confidence Level** | 95% (Eurostat) / 75–80% (Reuters, ARD/ZDF) |
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| **Known Gaps** | No real-time data; platform-specific time-spent not available; no federated/European platform baseline |
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| **Update Frequency** | Eurostat: run script annually; Reuters DNR + ARD/ZDF: manual each spring |
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---
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## Connection to DE-Plan
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- Social network participation 59.2%, US-platform dominance → **CHALLENGE 3**: German public discourse hosted on private US infrastructure without democratic control
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- Active news avoidance 36% → **CHALLENGE 1**: epistemic fragmentation; unreachable segment
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- Trust in news ~47% → **CHALLENGE 1 + CHALLENGE 6**: press ecosystem health
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---
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## Changelog
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| Date | Change | Reason |
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|------|--------|--------|
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| 2026-04-20 | Initial dataset created | DE-Plan CHALLENGE 3 data gap |
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