{
  "abstract": "Generative artificial intelligence (AI) is a type of artificial intelligence that creates original content—such as realistic prose, images and even videos—by analysing patterns and features from pre-existing data. This is an advancement over traditional AI, which focuses on analysing and making predictions based on data it has been trained on. For example, traditional AI might predict the likelihood of a drug compound being effective based on existing data, but generative AI can interpret large datasets of molecular structures and chemical properties to create entirely new drug compounds to accelerate drug discovery processes. 1",
  "authors": [
    {
      "affiliations": [
        "Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA"
      ],
      "name": "Grace Kong"
    },
    {
      "affiliations": [
        "Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA"
      ],
      "name": "Rachel R Ouellette"
    },
    {
      "affiliations": [
        "School of Journalism and Media, The University of Texas at Austin, Austin, Texas, USA"
      ],
      "name": "Dhiraj Murthy"
    }
  ],
  "title": "Generative artificial intelligence and social media: insights for tobacco control",
  "uid": "b3730b26-0894-5895-b8c5-bf77adb6563f"
}