(1) Media Concept
Fashion Media—a Telegram channel dedicated to fashion as a facet of modern culture—explores the origins of trends and shows how to adapt them for daily life.
The project sits at the intersection of fashion, cinema, music, art, and local design. Its goal is to investigate why certain items become popular, what cultural phenomena drive that popularity, and how to use this knowledge to cultivate one’s own personal style.
At the core of the media is the concept of conscious consumption. Rather than endlessly presenting product roundups, the channel encourages analyzing visual imagery, understanding its origins, and developing one’s own interpretation.
(2) Data Sources for Media
Professional publications on fashion and culture
Vogue, The Blueprint, Dazed, SHOWstudio, 032c, Business of Fashion.Data: shows, collections, designers, campaigns, and cultural events. Use: theme research and trend analysis. Processing: permitted scraping of headlines and links, manual selection and verification.
Fashion and Cultural Archives
Vogue Runway, Google Arts & Culture, museum and design archives.Data: historical images, runway dates, collections. Application: juxtaposing the past and the present. Processing: searching by names and dates, verifying material provenance.
Social Media and Visual Platforms
Pinterest, TikTok, Instagram, Telegram, YouTube.Data: visual trends, discussions, and reactions. Application: monitoring the diffusion of aesthetics. Processing: editorial monitoring and tools permitted by the platforms.
Official Brand Sources
Brand websites and accounts, press releases, catalogs, interviews.Data: collection concepts, images, and author commentary. Application: fact-checking and analysis of design decisions.
Film, music, and contemporary art
Film archives, studio materials, music videos, museums, and exhibition catalogs.Data: footage, stage images, artworks. Application: research into cultural connections; analysis and interpretation—editorial.
Media Data
Telegram statistics, reactions, comments, and polls.Data: views, forwards, responses, and suggestions. Application: evaluation of rubrics and formats. Processing: automatic calculation and manual interpretation.
(3) Data Schema: Machine and Human Processing
Information Gathering
Machine: Gathers permitted metadata—titles, links, dates, and descriptions. Human: Searches for visual examples and selects promising topics. Result: A unified repository of source materials.
Sorting
Machine: tags topics, names, dates, keywords, and duplicates. Human: corrects categories and excludes irrelevant entries. Result: a structured database with metadata.
Review
Machine: cross-references dates, titles, links, and flags discrepancies. Human: verifies facts against primary sources and clarifies context. Result: verified information.
Material Preparation
Machine: generates brief summaries, outlines, and headline options. Human: conceptualizes the idea, writes the copy, and interprets the visuals. Result: finished editorial content.
Design and Publication
Machine: prepares file sizes and schedules the approved post. Human: selects images, verifies rights, formats, and approves the post. Result: published material.
Results Analysis
Machine: collects views, reactions, shares, and poll results. Human: explains the findings and adjusts the thematic plan. Result: recommendations for the editorial team.
General Sequence
Sourcing—data collection—sorting—editorial review—material preparation—approval and publication—audience analytics—plan adjustment.
