This Chapter discusses the pros and cons of using Artificial Intelligence (AI) to automate the development and dissemination of information in communication, such as digital journalism and marketing communication. This Chapter discusses generative AI tools like chatbots, text generation, image generation, video generation, and infographic generation based on Large Language Model (LLM) and text-to-speech (TTS) tools. Artificial intelligence (AI) makes news production more efficient in journalism by automatically writing stories based on journalists’ input, gathering relevant information, and tailoring material to different groups of readers. In the media, AI helps create content plans for digital platforms, establish effective advertising campaigns, cut expenses, improve SEO (Search Engine Optimization), and analyze user behavior to reach more people. This Chapter explains how some AI tools can help, such as saving money and time, making it easier to make more content, and ensuring that content works well on each platform. It also discusses some problems, like the amount of content creation that is right for readers, the chance of spreading false information, the hazards to intellectual property, and the moral problems in communication. The chapter also talks about AI automation in content distribution, making the user experience more personal, making audiobooks automatically, making broadcast news, and some AI technologies that can help manage communication campaigns. The chapter also discusses how AI is becoming more common in journalism and the media. It suggests ways for researchers to improve AI applications by finding a balance between technology, reliability, and ethics in the digital world.

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Automated Content Generation and Distribution

  • Phuong Pham Ngoc,
  • Phuong Do Thi,
  • Lam Dinh Xuan

摘要

This Chapter discusses the pros and cons of using Artificial Intelligence (AI) to automate the development and dissemination of information in communication, such as digital journalism and marketing communication. This Chapter discusses generative AI tools like chatbots, text generation, image generation, video generation, and infographic generation based on Large Language Model (LLM) and text-to-speech (TTS) tools. Artificial intelligence (AI) makes news production more efficient in journalism by automatically writing stories based on journalists’ input, gathering relevant information, and tailoring material to different groups of readers. In the media, AI helps create content plans for digital platforms, establish effective advertising campaigns, cut expenses, improve SEO (Search Engine Optimization), and analyze user behavior to reach more people. This Chapter explains how some AI tools can help, such as saving money and time, making it easier to make more content, and ensuring that content works well on each platform. It also discusses some problems, like the amount of content creation that is right for readers, the chance of spreading false information, the hazards to intellectual property, and the moral problems in communication. The chapter also talks about AI automation in content distribution, making the user experience more personal, making audiobooks automatically, making broadcast news, and some AI technologies that can help manage communication campaigns. The chapter also discusses how AI is becoming more common in journalism and the media. It suggests ways for researchers to improve AI applications by finding a balance between technology, reliability, and ethics in the digital world.