Here are some technical directions and tool ideas, but please note that automatically generating news articles may involve misleading readers or spreading false information. Please ensure that local laws, regulations and ethical requirements are met when using it, and it is only used for scientific research, testing or entertainment purposes. 1. Using large pre-trained language models • OpenAI's GPT‑2/GPT‑3 (for example, accessing the ChatGPT model through the OpenAI API) can automatically generate articles based on prompts. You can design appropriate prompts to let the model produce the "useless" or non-substantial news releases you need. • The Hugging Face Transformers library provides a variety of pre-trained models and sample codes for easy local deployment and text generation. 2. Markov chain generator • Use the Markov chain algorithm to generate random text. There are many open source Markov chain text generator projects on the Internet (such as the Python version of markovify). You can use the existing news corpus to train the model and then automatically generate articles that look like news but have confusing content. 3. Specialized “fake news” generators (for entertainment purposes) • There are also some online tools or small programs that are specifically used to generate funny or meaningless news headlines and content (such as some random news generators), mainly for entertainment and satire purposes. Note that these tools are usually only suitable for informal occasions. 4. Custom generation templates • If you just want to piece together an article that is similar to news in format, you can use template replacement technology (such as Python string formatting or Jinja2 templates), pre-define the news framework, and then fill in randomly generated words and sentences. Regardless of the tool and method used, the use scenario and purpose should be clearly defined to avoid spreading false information and ensure compliance with usage specifications and legal requirements.