In July 2026, a single question about a ₱85 wage hike outperformed the entire State of the Nation Address in engagement. The reason wasn’t approval — 95.8% of the reactions were “Haha.”
Most engagement dashboards treat every reaction the same way: more is better. A post that racks up thousands of reactions gets flagged as a win, regardless of which emoji people actually clicked.
That’s a mistake — and Capstone-Intel’s own July 2026 monitoring data makes the case better than any hypothetical could.
This is exactly the kind of signal our Social Listening Scan tracks. See what’s included in a full scan report →
THE POST THAT BEAT SONA
Capstone-Intel’s July 2026 Top Facebook Topics report tracked over 41,800 posts and 7.3 million in combined engagement across five major subjects: the SONA, tennis star Alex Eala, the West Philippine Sea, P-pop group SB19, and the ongoing minimum wage debate.
SONA dominated on volume — 23,026 posts, good for 55.1% of all posts tracked. Minimum wage discussion, by contrast, ranked dead last in volume at just 8.2% share of engagement.
And yet, the single most-engaging post of the entire month wasn’t about SONA at all. It was a simple question: what can a ₱85 wage adjustment actually buy? That post pulled an engagement score of 153,202.1 and 115,945 shares — more than any SONA post managed all month.
The reaction breakdown tells you why: 95.8% “Haha.”
THE PROBLEM WITH TREATING “HAHA” AS POSITIVE
Facebook’s reaction set was designed around emotional shorthand: Like, Love, Haha, Wow, Sad, Angry. Most reporting tools bucket “Haha” in with Like and Love as a “positive” reaction, since it’s technically not Angry or Sad.
But context changes what “Haha” actually means. A meme post gets genuine laughter. A question about whether ₱85 covers a family’s daily needs getting flooded with “Haha” isn’t humor — it’s irony, disbelief, and public skepticism, expressed the only way Facebook’s reaction set allows, since there’s no dedicated “I don’t believe this” button.
As Capstone-Intel CEO Geraldine Brillantes put it: “When an economic post gets flooded with ‘Haha’ reactions, that’s not just people finding it funny — it’s a clear sign of public doubt or irony.”
THE CONTRAST MAKES THE POINT
The same July report shows exactly what genuine positive engagement looks like, which is what makes the wage post’s reaction mix so telling:
- SB19’s global music milestones drove a reaction mix that was 83.5% Love
- An ABS-CBN News anniversary post on the West Philippine Sea arbitral victory pulled 488,452 total reactions, 74.5% of them Love — genuine patriotic sentiment, not irony
- Alex Eala’s Wimbledon breakthrough similarly skewed overwhelmingly toward Love and Like
Put side by side, the pattern is unmistakable: pride and admiration produce Love-dominant reactions. Economic anxiety and policy skepticism produce Haha-dominant reactions. Same platform, same reaction set, completely different meaning depending on what’s actually driving the response.
This same pattern held in an earlier study too — flood control posts during SONA week generated a 58.2% “Haha” share, well above any other reaction type, for largely the same reason: skepticism toward official claims, not amusement.
A third, independent data point makes the pattern harder to dismiss as a one-off. In a year-long analysis of Facebook conversation specifically about the House of Representatives — presented as part of a Capstone-Intel crisis communication training for 200 congressional staff — Haha was the single dominant reaction at 43.49%, ahead of Like at 33.09%. The finding was blunt: the public often treats House proceedings as spectacle rather than substance. Three separate studies, three separate contexts — wage policy, flood control, and institutional proceedings generally — and the same reaction pattern shows up every time.
This is one reaction type out of six. For the full picture — what Love, Sad, Angry, Like, and Wow each signal — see our complete field guide to Facebook reaction types.
HOW TO ACTUALLY READ REACTION DATA
A few practical rules that follow from this:
- Never treat total engagement as a single metric. As Brillantes noted about the July findings, “volume and engagement aren’t the same thing” — SONA had by far the most posts, but one wage-related question outperformed all of them combined on engagement.
- Read “Haha” in context. On entertainment or lifestyle content, it usually does mean humor. On economic or government content, it’s far more likely to signal disbelief.
- Compare reaction mix against content type. A serious policy post with an Haha-dominant reaction mix that looks like a comedy post’s is itself the finding — the mismatch is the story.
- Watch for reaction-type shifts over time. A shift from Like-dominant to Haha-dominant reactions on similar content can be an early signal that public trust is eroding, often before comment-level sentiment analysis would catch it.
WHY THIS MATTERS FOR BRANDS AND GOVERNMENT OFFICES
If your monitoring only tracks total engagement or a generic positive/negative score, you can genuinely miss a credibility problem forming in real time — and worse, you might read it as a success. A wage-policy post that goes viral on the back of “Haha” reactions isn’t connecting with the public; it’s being mocked by it. Those require very different responses, and only reaction-level analysis tells you which one you’re actually looking at.
This is exactly the nuance a proper reaction-distribution breakdown is built to catch — see how it fits into our Social Listening Scan methodology.
Capstone-Intel builds reaction-level sentiment analysis into every monitoring engagement — because “engagement” and “approval” are not the same thing. See our Social Listening Services →
