«Noir Archive» is a cultural and analytical media outlet dedicated to detective culture, film noir, and the art of investigation.

Slogan: «Beyond the Plot.»

«Noir Archive» is a niche, Russian-language media platform focused on detective fiction and film noir across literature, cinema, theater, and video games. The project examines the detective genre not only as an entertainment format built around crime and the search for the perpetrator but also as a vehicle for exploring human psychology, societal contradictions, and moral choice.

The core idea of the project is to reveal the more complex questions hidden behind conventional detective plots: Why does a person need to know the truth? Is justice always synonymous with the law? Can one trust the narrator? And why is it sometimes easier for the audience to empathize with the criminal than with the investigator?

To become one of the leading Russian-language platforms uniting fans of detective culture, researchers, readers, viewers, and authors.The media’s primary objectives are: — To analyze classic and contemporary works within the detective genre. — To discuss the history of noir and its influence on modern culture. — To explain artistic techniques, the structure of an investigation, and the nuances of crime drama. — To create curated selections of books, films, series, plays, and video games. — To build a community of readers interested in deep engagement with the genre.

The «Noir Archive» audience is comprised of individuals interested in detective fiction, psychological thrillers, noir, crime narratives, and cultural analysis.

The project is geared toward a broad audience seeking quality recommendations, as well as readers interested in the history of the genre, narrative techniques, and the cultural meanings within these works.

The primary platform for the project is a Telegram channel, where analytical articles, reviews, curated collections, short notes, visual materials, and interactive polls are published.Additional platforms include VK, YouTube, and our own website, which will eventually become a comprehensive archive of materials.

Unlike typical channels that recommend movies and books, the «Noir Archive» does more than just summarize plots and review works. The media explores how detective stories are constructed, what artistic techniques authors employ, and why the genre continues to remain relevant.

The project’s core principle is not to recount the detective story, but to investigate the detective story itself.

To create content, the «Noir Archive» utilizes several source categories, allowing users to access information on new works, study the history of the genre, track cultural trends, and analyze audience interests.

The primary sources of information are the official websites of publishers, film studios, theaters, and video game developers. From these sources, the editorial team gathers information on new books, films, performances, and games, along with premiere dates, authors, and content.

The works themselves—books, films, series, theatrical productions, and video games—are the most crucial sources. Directly studying these materials allows for the creation of independent analytical content rather than merely retelling others’ reviews.

Additionally, interviews with writers, directors, screenwriters, and genre researchers are used to help grasp the author’s intent and the work’s cultural context.

Specialized platforms are used for further information and critical reception analysis.IMDb — for film, series, actor, and director information.Rotten Tomatoes — for studying professional reviews and film critiques.Goodreads — for analyzing reader reviews, ratings, and the popularity of detective literature.Metacritic — for cross-referencing ratings for films, series, and video games.Google Scholar — for searching academic research on detective history, narrative theory, and cultural studies.Materials from literary journals, film criticism publications, library archives, and cultural media are also utilized.

A separate category consists of data generated during the media’s own operation. This includes publication view statistics, subscriber reactions, comments, shares, survey results, and the audience dynamics of the Telegram channel. This data helps us understand which topics generate the most interest, which formats are most effective, and how to adjust the content plan. For example, if publications about psychological thrillers receive more reactions, the editorial team can increase the volume of material on that topic. However, statistics should not entirely dictate editorial policy: the primary goal of the «Noir Archive» is to maintain analytical depth and cultural focus.

«Noir Archive» adheres to the following guidelines:

1. Verify factual information using primary sources.
2. Distinguish authorial interpretation from confirmed facts.
3. Cite sources when using statistics, quotes, or research.
4. Do not use unverified rumors as the basis for news publications.
5. Respect copyright when working with images, texts, and video materials.
6. Do not reveal plot twists without a spoiler warning.

Stage 1. Information Gathering Machine Processing: Automated services track updates from official websites, RSS feeds, and other available sources. The system collects material titles, publication dates, links, and brief descriptions. Human Processing: The editor identifies a list of reliable sources and verifies how well the found information aligns with the media’s theme.Stage 2. Filtering and Classification Machine Processing: Algorithms remove duplicate materials and categorize the information into: literature, film, theater, video games, genre history, and cultural analysis. Human Processing: The editor assesses the significance of each topic, selects the most compelling materials, and determines which ones are suitable for future publications.Stage 3. Information Verification and Analysis Machine Processing: Artificial intelligence assists in structuring the gathered data, extracting key facts, creating concise summaries, and identifying potential contradictions between sources. Human Processing: The author independently studies the work, fact-checks the information, and forms an analytical position. This is where the original interpretation appears—the element that differentiates the «Noir Archive» from standard news or recommendation channels.Stage 4. Content Creation Machine Processing: AI services can suggest the publication structure, headline options, brief descriptions, and visual design ideas. Human Processing: The author writes the final text, adds personal insights, selects examples, and adapts the material to the media’s style. The editor reviews the content for grammar, accuracy, trustworthiness, and conceptual alignment with the project.Stage 5. Publication Machine Processing: The delayed posting service releases the approved materials on Telegram and other social media platforms according to the content calendar. Human Processing: The editor pre-approves the publication, checking the layout, images, links, and the release timing of the material.Stage 6. Results Analytics Machine Processing: Services collect statistics on views, reactions, comments, and shares, generating reports and displaying dyn

To store information, we propose creating a unified editorial database in Notion or Airtable.

This database will contain material titles, categories, source links, dates, brief descriptions, responsible editors, and publication statuses.

Each piece of content goes through several stages: ideation, information gathering, text preparation, editing, approval, and publication.

This system allows us to maintain an archive of sources, track the content preparation process, and avoid repeating topics.

The automated services of the «Noir Archive» should assist the editorial team in completing technical tasks, but not replace original authorship or expert analysis.

Specific usage guidelines are set for each tool.

Proposed Tools: RSS aggregator Feedly, n8n or Make, and the official APIs of available platforms.The service’s goal is to track the emergence of new materials on specified topics and transfer this information to the editorial database.Operating Guidelines:

1. Use only the pre-approved list of sources.
2. Preserve the original link, title, and date of material acquisition.
3. Check for duplicates.
4. Do not bypass paid access or technical restrictions of websites.
5. Do not consider automatically found information as reliable without verification.
6. Do not publish found materials directly.Outcome: A structured collection of potentially interesting topics