> For the complete documentation index, see [llms.txt](https://docs.tickertrends.io/tickertrends/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tickertrends.io/tickertrends/documentation-v2/2.-data-coverage-and-data-types/2.2-raw-data-types/2.3-social-discussion-analysis/specific-posts-and-recent-context.md).

# Specific posts and recent context

For any selected topic or phrase, TickerTrends surfaces the **specific posts** driving the signal.

This gives users direct context on what people are actually saying instead of relying only on aggregate counts.

Recent post views help users validate:

* Whether the spike is real
* Whether the discussion is positive, negative, or mixed
* Whether the narrative is product-driven, event-driven, or meme-driven

This is often the fastest way to confirm whether a discussion trend is likely to matter for the business.

<figure><img src="/files/yzWFxBp4UlX7UF1XpCXZ" alt=""><figcaption></figcaption></figure>