Designing a system for automatically generating meaningless news can combine natural language processing (NLP), template filling, random generation, and data capture technologies. The following is the step-by-step design plan： --- ### **1. System architecture** ``` Data source → content generation engine → post-processing → publishing system │ ──Template library ──Keyword library ──AI model ``` --- ### **2. Core module design** ####**2.1 Data source input** -**Real news capture** (optional)： -Use crawlers to grab mainstream news headlines/summaries (such as BBC, CNN) and extract entities (people, places, and events) as material. -Example: Grab the title _"The president of a country visits Place A to discuss economic cooperation"_→Extract the entity _ "The President of a country", "Place A", "Economic cooperation"_. -**Random data generation**： -Use forged data tools (such as Python's `Faker` library) to generate fake names, company names, locations, etc. -Example: generate _"Dr. {Random name} Found {Random scientific term}"_" in {random city}. ####**2.2Content generation engine** -**Method A: Template filling (simple and controllable)** -Design a news template library to store sentence structures by category (politics, technology, entertainment). -Sample template： '"{Character} announced {event} at {place}, which experts called a breakthrough in'{random adjective}'. "` -Replace the placeholder with a random entity, generate such as： _"The mayor announced the free pizza plan on Mars, which experts called a 'disruptive' breakthrough. "_ -**Method B: AI model generation (more natural)** -Fine-tune models such as GPT-2/GPT-3 and train with meaningless news corpus (such as r/SubredditSimulator data from Reddit). -Enter seed words (such as "technology" + "alien") and output short news： _"Silicon Valley engineers invented an alien translator that can decipher Cat star language. "_ -**Method C: Markov chain** -Based on the existing news corpus training, generate sentences that seem to be common and not common (such as: _"The stock market has plummeted due to the rise in banana prices"_). ####**2.3Post-processing** -**Add absurd elements**： -Randomly insert illogical phrases (such as _ "It is rumored that this matter is related to penguins"_). -**Title party optimization**： -Use a click bait generator (such as "Shocked! There is a secret {number} hidden behind {event}"). -**Multi-language support** (optional)： -Use the translation API to randomly translate news into other languages and then translate it back to increase the sense of confusion. ####**2.4Release system** -**Automated channels**： -Scheduled tasks (such as Cron) are called every day to generate scripts and output to： -Static HTML pages (automatically deployed via GitHub Pages) -Twitter/Weibo robot (use API to automatically post) -Email subscription list (Mailchimp API) --- ### **3. Technology stack example** -**Python script**:'neascaper3k` (grabbing),'NLTK` (text processing),`Faker` (fake data) -**AI model**: HuggingFace's `GPT-2-small` (running locally) -**Deployment**: AWS Lambda (serverless) or Raspberry Pi (local) --- ### **4. Techniques to enhance pointlessness** -**Contradictory combination**: Mixing unrelated fields (_"Buddhism and Zen Buddhism help Quantum computing speed up by 300%"_). -**False quotes**: Generate fictitious expert remarks (_"According to NASA's chief cat scientist Dr. Whiskers analysis..."_). -**Time dislocation**: Combining historical events with future technology (_"Napoleon will use AI to resurrect and command the drone war"_). --- ### **5. Ethical precautions** -Add a disclaimer ("This content is purely fictitious"). - Avoid generating content that involves sensitive topics in reality (politics, disasters). -Use a sensitive word filter (such as Google's `Perspective API`) to screen before output. --- ###**Example output** ``` Burst: Scientists confirm that the moon is made of cheese 【2023-11-20】 In the early hours of this morning, the Harvard University team published a paper saying， The basalt sample of the moon is actually blue cheese. The French president said this "Michelin chefs will be sent to land to develop a restaurant on the moon." (Related reading: Why are the potato fields on Jupiter reducing production? ） ``` This kind of system can control the degree of absurdity by adjusting the parameters, which is suitable for art projects or test data generation.