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What to say?

PROTECT STATUS: not protected
Longread translated automatically

Media Concept

«What should I say?» — a practical media resource for navigating difficult and awkward conversations. The project helps you find the right words to decline an uncomfortable request, discuss an issue, or set personal boundaries.

Goal and Audience

The goal is to help the reader prepare for a conversation and express their position with greater confidence.The primary audience includes students and early-career professionals who need to negotiate with neighbors, classmates, colleagues, and loved ones.

Format and Venues

Main platform: Telegram, supplementary platform: VK.Formats: illustrated breakdowns, phrase selections, quizzes, and discussions.

The main principle: one publication—one situation—one goal for the conversation.

Each breakdown includes gentle, neutral, and direct responses, a potential objection, a reply to it, and the next step. The tone of communication is calm, supportive, and peer-to-peer.

Data Sources for Media

Project data includes situational descriptions, interviews, expert commentary, texts, images, and feedback.

Primary Sources

— Reader stories and questions: help identify relatable situations. Used with author permission and after anonymization. — Interviews with students and young professionals: allow for the consideration of context and authentic audience language. — Comments from psychologists and communication specialists: help to vet phrasing and script limitations.

Secondary Sources

Professional materials from the Centre for Clinical Interventions and Mayo Clinic are used to study confident communication. The «Yasno» and Alter blogs are for finding topics and additional resources.

Internal Data

Available metrics—views, reactions, and comments—along with survey results and frequently asked questions, help refine the thematic plan.

Principles of Source Usage

The editor preserves the author, date, source link, specific segment, and terms of use for the material. Personal experience is not generalized to all readers, and academic scenarios are noted separately. The neural network is not considered a factual source.

Human and Machine Processing

Services perform repetitive operations and offer drafts. The Editor reviews the content, considers the context, and approves publications.

Original size 5262x2450

Data Storage

The editorial database utilizes three interconnected cards:1. Source: reference number, author, date, link, usage permissions, and restrictions. 2. Situation or Thesis: content, connection to the source, theme, verification status, and editor’s comment. 3. Publication: goal of the discussion, section, related sources, text, image, version, responsible editor, and results.

Material Statuses: New Submission $\rightarrow$ Review $\rightarrow$ Draft $\rightarrow$ Editing $\rightarrow$ Approval $\rightarrow$ Publication.

Initial requests containing personal data are stored separately from the anonymized working database.

Guidelines for Automated Services

Collection and Transcription

Preserve the material provenance, timestamps, and separation of interview participants. Note unclear words without filling in gaps with speculation. The transcript will be anonymized before further AI processing.

Classification and Storage

Use approved rubrics and tags, maintain links to sources and change history. Mark potential duplicates, but do not delete them automatically.

What to say?
Project created at 06.11.2026
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