{
  "id": 329209,
  "title": "How AI could predict your vote before you leave home",
  "url": "https://urgent.news/2026/08/05/how-ai-could-predict-your-vote-before-you-leave-home",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-05T09:55:00.000Z",
  "source": {
    "name": "Jerusalem Post Tech & Start-Ups",
    "slug": "jerusalem-post-tech-start-ups",
    "url": "https://www.jpost.com/business-and-innovation/tech-and-start-ups/article-904632"
  },
  "original_language": "en",
  "account": "Ahead of every election campaign, polls are published to gauge public opinion, but they often fail to accurately predict the final results. This is due to the small sample sizes used, which may not represent the full electorate. Artificial intelligence and data science present an alternative approach, analyzing the digital behavior of millions of people to uncover hidden patterns that humans struggle to identify. Our digital footprint, comprising likes, shares, searches, purchases, and browsing habits, reveals our interests, habits, and values. Studies have shown that social media activity can even predict political affiliations with high accuracy. By examining patterns in music, sports, TV shows, brands, and non-political online interactions, algorithms can infer political tendencies. Traditional polls have limitations, as respondents may not answer truthfully or at all, and their answers can be influenced by question phrasing and social desirability. Data-driven methods analyze long-term behavioral patterns, offering a more comprehensive view of public opinion. While AI and data science have transformed various industries, their application in election polling is a new frontier. The challenge lies in balancing the use of these tools for accurate measurement with the potential to influence public opinion.",
  "summary": "Before every election, polls of a few hundred people miss reality. In the AI era, billions of data points – from likes to purchases – can predict political views with striking accuracy.",
  "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."
}