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Concept

KOLO is a lifestyle media outlet in the format of a Telegram channel for those who live, study, work, or regularly travel between Russia and Belarus.

The project combines practical assistance with relocation, cultural leisure, and community building. The core idea is to make adaptation in a new country not only straightforward in terms of documentation and daily life but also emotionally comfortable.Despite the proximity of the two countries, shared history, and lack of a language barrier for most residents, moving still involves specific challenges. Individuals must navigate new regulations, find housing, establish social connections, and adjust to the specificities of the urban environment.Currently, the necessary information is scattered across official websites, specialized Telegram chats, local communities, and event listings.KOLO collects the most useful materials in a single Telegram channel, organizing publications by thematic categories. Additionally, the project provides a dedicated space for communication where readers can ask questions, share experiences, and find people with similar interests.The main goal is to create a community that people can turn to at various stages of adaptation while providing important information in a convenient format, all in one place.

Data Sources for Media

1. Official Sources

Government internet portals of Russia and Belarus, websites of state institutions, migration services, and city administrations.These sources are necessary for materials related to documents, registration, employment, healthcare, and other practical matters, the data for which is periodically updated and changed.For example, when preparing a checklist for the first days after moving, it is important to rely on current official requirements rather than solely on users' personal experiences.

2. Urban Posters and Cultural Venues

Museum, gallery, theater, cultural center, event organizer websites, and city event listings.

Based on this data, curated event selections, weekend recommendations, and city exploration routes can be created.

For such publications, the timeliness of the information is crucial, as dates, ticket prices, and admission conditions may change.

3. Telegram and VK channels and topical communities

It is important to analyze local channels, dedicated thematic chats, and communities of people who have relocated to Russia or Belarus.

These resources help uncover the issues that genuinely concern the audience, notice recurring problems, and gather recommendations that may not be available in official sources.

However, information from user discussions should not be automatically treated as authoritative. It is primarily used for topic discovery and absolutely requires further verification.

4. User Requests

Posts from the KOLO community, responses to polls, suggested move stories, and subscriber recommendations.

This source allows for the gradual adaptation of content to the audience’s real needs and serves as an excellent aid in content creation.

For example, if several community members ask similar questions about finding housing, this could become the basis for a dedicated article with practical advice.

5. Personal Experience and Information Gathering

Independent study of urban spaces, attendance at events, interviews, and observations of project participants.Such materials will be relevant for sections such as city, community, and cultural code, where it is necessary both to convey factual information and to showcase the peculiarities of real daily life.

Data Schema: Human and Machine Processing

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For KOLO’s operation, some processes will be automated. This will reduce the time spent searching for information and preparing materials, while the primary editorial decisions will remain with the human editor.

The automated tools will gather information from open sources, categorize it, remove duplicates, and assist in drafting publications.

The editor will verify the accuracy and relevance of the data, select appropriate topics, refine the texts, and approve the materials before publication.

After the posts are published, the editor can collect view and reaction statistics from Telegram and feed them to the AI for analysis. This will help determine which topics and formats interest the subscribers most, allowing results to be factored into future content planning.

This division of labor will enable regular content releases, reduce time spent on routine tasks, and maintain the quality of the publications.

Guidelines for Automated Services

To operate KOLO, automation and AI tools will be used to assist with gathering information, preparing publications, and analyzing audience interests. Specific guidelines have been established for each stage.

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1. Information Collection and Sorting

— Use open sources available for automated data collection. — Maintain links to original sources and the dates the information was obtained. — Categorize materials according to the KOLO topics: migration, city, cultural code, and community (for example). — Delete duplicate materials and flag information that may be outdated. — Do not include unverified facts and forward questionable materials to the editor for review.

2. Publication Preparation

— Use only information from provided or verified sources. — Write in simple, clear language, avoiding complex formulations and bureaucratic jargon. — Maintain a friendly tone without being overly emotional. — Tailor the text format to the task: a checklist, a curated list, instructions, or a narrative. — Do not invent facts, quotes, or personal stories. — Submit prepared drafts to the editor for review and refinement.

3. Telegram Channel Statistics Analysis

— Work with the data provided by the editor from the channel statistics. — Compare views and reactions to publications, taking into account topics and formats. — Identify materials that received the most audience engagement. — Do not draw conclusions about subscriber interests based on a single publication. — Suggest topics for future posts based on the results obtained. — Do not use subscriber personal data without their consent.

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KOLO
Project created at 04.11.2026