{
  "id": 639549,
  "title": "Cornell researchers found a way to spot future hits before they become popular",
  "url": "https://urgent.news/2026/08/12/cornell-researchers-found-a-way-to-spot-future-hits-before-they",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-12T06:32:59.000Z",
  "source": {
    "name": "Digital Trends",
    "slug": "digital-trends",
    "url": "https://www.digitaltrends.com/computing/cornell-researchers-found-a-way-to-spot-future-hits-before-they-become-popular/"
  },
  "original_language": "en",
  "account": "Researchers at Cornell University have developed a method to predict the future popularity of research papers and projects long before they become well-known. This innovative approach is based on early engagement metrics such as downloads, views, and likes, which are collected from platforms like arXiv and GitHub. The team published new datasets and tested a technique called \"lead-lag forecasting,\" which uses these early engagement indicators to forecast a paper's or project's five-year popularity. Surprisingly, just a month's worth of download data was enough to accurately predict a paper's future popularity. Early engagement metrics, such as stars and pushes on GitHub, also proved to be strong predictors of a project's success five years later. The researchers hope that their datasets and forecasting tools will help others build even more accurate methods for identifying the most influential and impactful research papers and projects.",
  "summary": "Cornell researchers built new datasets showing that early downloads and GitHub activity can predict a paper's impact years before citations ever catch up.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}