> 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/2.3-social-discussion-analysis/specific-posts-and-recent-context.md). # Specific posts and recent context Review posts behind selected discussion topics or phrases for research 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.