{
  "user": {
    "created_at": "2016-11-04T06:57:37.000Z",
    "default_profile_image": false,
    "description": "ML research & startup with @EnricoShippole",
    "fast_followers_count": 0,
    "favourites_count": 9746,
    "followers_count": 86609,
    "friends_count": 79,
    "has_custom_timelines": true,
    "is_translator": false,
    "listed_count": 1174,
    "location": "",
    "media_count": 1789,
    "name": "Aran Komatsuzaki",
    "normal_followers_count": 86609,
    "possibly_sensitive": false,
    "profile_image_url_https": "https://pbs.twimg.com/profile_images/1561220982328754176/JOYS5kab_normal.jpg",
    "screen_name": "arankomatsuzaki",
    "statuses_count": 4388,
    "translator_type": "none",
    "url": "https://t.co/aZGCShnLYq",
    "verified": true,
    "withheld_in_countries": [],
    "id_str": "794433401591693312"
  },
  "id": "1757437341088600464",
  "conversation_id": "1757437341088600464",
  "full_text": "Debating with More Persuasive LLMs Leads to More Truthful Answers\n\nOn the QuALITY comprehension task, we find that debate consistently helps both non-expert models (48% -> 76%) and humans (60% -> 88%) answer questions\n\nhttps://t.co/2lRBeuDJvO https://t.co/n1psgJM98g",
  "reply_count": 2,
  "retweet_count": 34,
  "favorite_count": 130,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [],
  "urls": [
    {
      "url": "https://t.co/2lRBeuDJvO",
      "expanded_url": "https://arxiv.org/abs/2402.06782",
      "display_url": "arxiv.org/abs/2402.06782"
    }
  ],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/GGOrX1aXkAAdKac.png",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/arankomatsuzaki/status/1757437341088600464",
  "created_at": "2024-02-13T16:11:28.000Z",
  "#sort_index": "1757437341088600464",
  "view_count": 12189,
  "quote_count": 1,
  "is_quote_tweet": false,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": false,
  "startUrl": "https://twitter.com/arankomatsuzaki/status/1757437341088600464"
}