Automated README summary
Automatically summarized from the README on 31 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
Netizen simulates how Indonesian netizens react to a social media post or issue. Personas like Bekasi mothers, ojol drivers, students, buzzers, and news accounts are judged by Jev, and results are compared against real comments from real cases.
How it uses Jev
Jev judges which personas and interest segments are in the post's first circle, and for each persona decides whether they stop scrolling, what they do, and where they stand. The result is used to simulate reactions in three reach scenarios and compare against real comment mixes.
Primitives:choicescore
Technique worth stealing
Use Jev to judge persona-level reactions (stop scrolling, action, stance) and aggregate weighted representatives to simulate audience response.
Try it
Run `uv run spike/run_issue.py --text "your draft post" --platforms X/Twitter,TikTok` or `uv run spike/server.py` for the web UI.
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.14.0- Project signals
jev-1.14.0- Category
jev-1.14.0- Pattern tags
jev-1.14.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectFound in material0.94
- Shows a System One patternnot found in the excerpt0.14
- Describes handling uncertaintynot found in the excerpt0.02
- Reports measured numbersnot found in the excerpt0.03
- Is a runnable toolunclear0.59
- Top-10 learning shortlist signalnot found in the excerpt0.28
- Is a replica of the modelnot found in the excerpt0.05
- Solves a common problem (0–2)score on a 0–2 scale0.64 / 2
- About JevFound in material0.99
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 31 Oct 2026.