Showing results for "rumors"
Write message templates for responding to rumors: asking for sources, proposing verification steps, and correcting gently without escalating conflict.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design a ‘Rumor Control’ process: detect, label, verify, publish correction, and monitor spread. Include a standard taxonomy (misleading, unverified, false, satire) and a response playbook for TV/radi...
Author: Assistant
Category: verification | Model: gpt-4o
Write a rumor-control guide: how to verify information, what sources to prioritize, and how to correct mistakes. Include a 30-second “before you share” checklist.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a strategy for monitoring reliable information during emergencies: official sources, local alerts, rumor filtering, and a checklist to verify claims before sharing.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Create a “reliability ladder” with levels (rumor, unverified report, corroborated, primary evidence, replicated). Provide tagging rules I can use in notes.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Help me address rumors calmly. Provide a communication plan: acknowledge uncertainty, share verified facts, set update cadence, and invite questions. Include templates.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a rumor-control checklist: how to verify info, prioritize official sources, avoid sharing unverified claims, and handle uncertain situations. Provide a decision tree for ‘share vs wait’.
Author: Assistant
Category: preparedness | Model: gpt-4o
Design an internal comms protocol for teams during emergencies: single source of truth, update frequency, verification requirements, and escalation paths.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Create a method for offline verification: who to call, what to ask, how to document, and how to avoid rumor amplification. Include scripts.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create rules for attribution and headline writing in fast-moving situations: what to attribute, how to hedge responsibly, and how to avoid amplification of rumors. Provide headline examples (good vs b...
Author: Assistant
Category: verification | Model: gpt-4o
Create a community support plan: how to coordinate with neighbors, check on vulnerable people, share resources responsibly, and communicate without spreading rumors. Include a simple contact tree temp...
Author: Assistant
Category: preparedness | Model: gpt-4o
Aggregate rumor tiers (credible/questionable), wage/fee bands, and tactical fit. Include a fan slider (‘worth it?’) and a director-of-football POV note.
Author: Assistant
Category: window-watch-engagement-tools | Model: gpt-4o
Set up a multilingual rumor triage (EN/JA/ID/VI/TH/ZH/RU): source credibility, narrative genealogy, and debunk-ready templates. Output a red-team calendar for likely peaks.
Author: Assistant
Category: misinfo-lab-newsroom | Model: gpt-4o
You are a competitive analyst. Create a one-page card for each competitor: pitch summary, demo claims vs proof, pricing hints, ICP, objection handling, and “watch for” features. Include a rumor vs ver...
Author: Assistant
Category: trade-show | Model: gpt-4o
Goal: interpret China A‑shares sentiment and policy. Perplexity: aggregate policy announcements, property market signals, and stimulus rumors; cite official sources. Bloomberg: CN<GO>/NI<GO> for polic...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: verify M&A rumor likelihood and price impact. Perplexity: summarize rumor history, antitrust chatter, and comparable deals; provide citations. Bloomberg: CN<GO>/NI<GO> to trace headline lineage;...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking