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Media Concept
This media space offers a slow and deliberate look at contemporary art. Here, I want to share projects that rarely enter broad discussions: small, quiet, sometimes naive works by artists whose value isn’t measured by market success or a loud name. It is important to me to find things that personally move me, and that are capable of making me laugh.
The project’s goal is not to compile a ranking or to claim expert judgment. It is an attempt to bring the tone of personal discovery back into the conversation about art—that feeling when you find something small and forgotten, and it unexpectedly resonates. The channel becomes a place to show such finds to others.
Data sources for media
1. Primary Sources
1. Artists' personal archives and social media:— VK / Telegram channels belonging to artists outside of institutions — Personal websites and portfolios on unmoderated platforms (Behance, Cargo, Google Sites)2. Direct interviews and correspondence
2. Secondary Sources
1. Databases and collections of outsider and naive art:— Collection de l’Art Brut — Open-access museum collections2. Local and regional resources:— kulturansk.ru, uralcult.ru3. Exhibition catalogs and small publishers
3. Archival Sources
1. Flea Markets and Flea Markets2. Family Archives
4. Audiovisual Sources
1. Artist Voice Messages and Podcasts2. Home Video and Found Tapes
Data scheme separating human and machine processing
General Logic
[SEARCH] → [CAPTURE] → [PROCESSING] → [PUBLICATION] → [ARCHIVE] ......↑....................↑........................↑............................↑......................↑ Person.......Person.......Person+Machine......Person.....Machine+Person*
*Machine processing is present in every stage, but it is more pronounced during «Processing» and «Archive.»
Stage 1. Search
Human Curation:— Scrolling through social media feeds and local public pages to decide what «grabs» attention— Selecting 5–7 accounts that post «unconventional» art— Reading press releases from regional galleries and contacting artists— Visiting flea markets and selecting objectsMachine Curation:— RSS aggregator collects new posts based on keywords— A parser/bot gathers posts by hashtag into a separate draft channel— Google Alerts set up for specific queries— Subscribing to updates from sites like Collection de l’Art Brut (artbrut.ch)
Stage 2. Finalization
Human Processing:— Screenshots, object photographs, voice note recordings— Drafting a post in freeform— Recording a voice message for the editorial columns— Documenting the source of the material: link, author’s name, contextMachine Processing:— Automatic photo synchronization to the cloud (Google Photos / Yandex.Disk) in a designated folder— Automatic fetching of link metadata (Open Graph: title, description, preview)— Audio transcription into text for publication as a caption
