Intent-aware Editorial Highlight

A content-aware highlight system that adapts emphasis and callouts based on user reading behavior, helping surface key insights without interrupting editorial flow.

This experiment requires full-page rendering.

Open live demo

HTML

<article class="editorial-content">
  <section data-highlight>
    <h2>Understanding reader intent</h2>
    <p>Not all scrolls are equal. Time, direction and pauses matter.</p>
  </section>

  <section data-highlight>
    <h2>Progressive emphasis</h2>
    <p>Highlights appear only when the reader is engaged.</p>
  </section>
</article>

CSS

[data-highlight] {
  transition: background 300ms ease, transform 300ms ease;
}

[data-highlight].is-active {
  background: rgba(26, 188, 156, 0.08);
  transform: translateX(6px);
}

JavaScript

const sections = document.querySelectorAll('[data-highlight]');

const observer = new IntersectionObserver(entries => {
  entries.forEach(entry => {
    entry.target.classList.toggle('is-active', entry.isIntersecting);
  });
}, { threshold: 0.6 });

sections.forEach(section => observer.observe(section));
  • Tech used Vanilla JS, WordPress-ready, No dependencies
  • Integration level Medium (template edit)
  • Performance safe Yes

What it solves

Long-form editorial content often hides its most valuable insights deep in the page. This pattern detects reading intent and progressively highlights relevant sections, quotes or summaries, improving comprehension and engagement without resorting to intrusive UI elements.

The invisible cost of unread content

Most editorial platforms focus on producing more content, not on ensuring that content is actually consumed. As articles grow longer and more complex, users tend to skim, skip or abandon pages before reaching the most meaningful sections.

This experiment explores a different approach: instead of forcing attention through banners or popups, it reacts to reading behavior and adapts the page itself.

As the user scrolls and spends time on specific sections, key passages are progressively emphasized. Highlights appear only when intent is detected, reinforcing comprehension without breaking immersion.

This pattern is especially effective for thought leadership articles, research pieces and editorial storytelling where context matters more than conversion pressure.