Scary English дз 3
Media Concept
Scary English
A Telegram channel assistant for those who strive not only to learn English but also to immerse themselves in a linguistic environment in daily life—for those who want to blend study and leisure.
The media concept is that the channel offers subscribers curated selections of books across various levels, from B1 to C3, and provides an individualized vocabulary list of the most frequently occurring words for each book. This helps memorize vocabulary better and allows readers to easily revisit it if needed, while also reducing the time spent searching for contextual translations.
To maintain the reader’s motivation, the channel primarily features gripping books in the genres of thriller, provocative prose, and psychological horror.
Primary Platform: Telegram
Content Focus: Useful posts about reading in English
A link to purchase the book on an online marketplace will be attached to the book posts. This type of advertising will solve the channel’s monetization problem. Depending on the channel’s capabilities and turnover, the posting frequency can be increased.
Data Sources
Content Sources
On Books and Plot
1. Book Catalogs and Databases: Goodreads, Open Library, Google Books API. These sources provide formal data, including title, author, genre, volume, difficulty level, and description.2. Publisher Websites, Marketplace Sites, and Synopses—for precise book descriptions and confirmation that the version is complete, not adapted.3. Recommended Selections and Reviews, Specialized Blogs, Book Media, and Reader Lists—to select «gripping» books in the genres of thriller, provocative prose, and psychological horror. Articles can be searched on Yandex Dzen and Telegram channels using keywords (gripping books, thriller, horror, psychological drama/thriller).4. Channel’s Own Expertise—the final selection of books tailored to the channel’s concept, including selection based on language levels.Linguistic Sources
Dictionaries and Lexicon
1. Original book texts—the primary source for frequency analysis of vocabulary and identifying contextual meanings. These can be found on electronic library websites or purchased in print.2. English language corpora: COCA, British National Corpus, Sketch Engine—for checking frequency, collocations, and typical contexts.3. Dictionaries and thesauruses: Cambridge, Oxford, Merriam-Webster, Longman—for definitions, proficiency level (CEFR), contextual translation, and idioms.4. Text processing tools: lemmatization, frequency lists, concordances (e.g., AntConc, Sketch Engine, Python libraries)—for automatic word and sentence example selection.Commercial Sources
Purchasing and Monetization
1. Marketplaces (Ozon, Wildberries, Yandex Market)—links for purchasing, pricing, availability, and edition options (UK/US, new/used, print/e-book).2. Marketplace affiliate programs—information on affiliate links and compensation.3. Pricing and shipping data—for comparing options and providing the reader with honest recommendations.Analytical Sources
Audience and Effectiveness
1. Telegram Channel Statistics—reach, engagement, link clicks, and polls.2. Partner Link Click Metrics—purchase conversion and post revenue.3. Audience Feedback—comments, surveys, and requests for books and levels.The channel relies on a combination of open book and linguistic data, commercial data from marketplaces, and its own Telegram analytics. This establishes a natural division between manual and machine processing—which will form the basis of the data schema in the next section.
Data Schema with Human and Machine Processing Separation
The diagram describes the complete data cycle of the channel: collection → cleaning and verification → linguistic processing → content generation → publication and monetization → analytics and feedback. At each stage, it is documented what the machine does, what the human does, and where they collaborate.
Phase 1. Data Collection
Machine Processing (MP): Extracting metadata about books via API (Google Books, Open Library); parsing Goodreads catalogs.MP: Gathering original book texts for analysis from legal sources/purchased versions.MP: Collecting pricing, availability, and edition variations from marketplaces; generating affiliate links.MP: Collecting Telegram statistics and click metrics.Human Processing (HP): Curating a list of candidate books based on the concept (genres, B1–C3 level).HP: Final approval of the book pool for review.
Phase 2. Data Cleaning and Validation
МО: Metadata normalization (standardizing titles, authors, genres), duplicate removal, and field completeness checks.МО: Verifying that the edition is the complete original, not an adapted version (by volume or marked as «adapted/retold/abridged»).МО: Validating links and checking price relevance.ЧО: Verification of disputed cases: questionable editions, or discrepancies between the description and volume.ЧО: Final review of the book record before publication.
Stage 3. Linguistic Processing
MO: Text tokenization and lemmatization, frequency analysis, word selection for the vocabulary (top-N for the book).MO: Building concordances—selecting example sentences for each word within its context.MO: Cross-referencing with corpora (COCA, BNC, Sketch Engine) and dictionaries (Cambridge, Oxford, Longman)—frequency, CEFR level, collocations.MO: Automated identification of candidates for «false friends» and idioms.CO: Selecting genuinely significant words and contextual meanings; filtering out noise.CO: Reviewing and refining translations and examples (contextual translation is the channel’s core value).CO: Finalizing the vocabulary and the «pitfalls» section.
Stage 4. Content Generation
MO: Draft posts based on templates (book description, vocabulary, in-context lexicon, «why you won’t quit, ” adaptation vs. original comparison, „book + level, ” collections, sales posts, interactives).MO: Automatic insertion of marketplace links and affiliate tags.MO: Selection of topic and draft survey tailored to current channel goals.CHO: Editing: maintaining the channel’s authentic voice, style, absence of spoilers, and fact-checking.CHO: Final decision on publication and phrasing.CHO: Post and link approval prior to release.
Stage 5. Publication and Monetization
MO: Scheduled posting, poll insertion, tracking clicks on affiliate links.MO: Click and conversion tracking, documenting revenue per post.CH: Selecting posting times and frequency, responding to comments.CH: Adjusting post frequency and link variety based on results.
Phase 6. Analytics and Feedback
MO: Collecting metrics on reach, engagement, clicks, and conversions; aggregate reports.MO: Analyzing votes and comments (frequent queries, themes).CO: Interpreting results and concluding which books and sections are popular.CO: Deciding on changes to the content plan and selecting new books.CO: Updating the pool of books and sections → cycling back to Stage 1 (closed loop).
Guidelines for Automated Services in the Scheme
The user asserts publication and is responsible for the meaning. No service publishes content or changes links without passing mandatory checks.
