Analytics: what's actually happening across your Telegram channels
The «What channels write about» tab in Gista Radar shows who broke a story first, who just reposts it, who gets talked about most, and who states facts without sources.
A digest answers "what important happened in my topic." But it has a blind spot: it doesn't show how the channels you follow actually behave — which ones are real primary sources, which just repost other people's news, and who they write about most. That's what the new Analytics section in Gista is for: it looks at the whole corpus of posts from your channels, not just the ones that passed your interest filter.
The topics channels actually discuss
The topic cloud shows which subjects actually take up your sources' airtime over the last 24 hours — by frequency, not by a predefined list. Click a topic to open the specific posts behind it, with links to the originals: not an abstract tag, but examples you can check. Next to it is the "Top channel topics" heatmap: for each channel you can see what it's really about, not just its latest headline.
Who reported first, and who just copied
"Story Map" groups posts from several channels about the same event into one story and shows who reported it first and how many minutes or hours it took the rest to catch up. For media teams, that's a way to tell a source from a repeater. Every later post carries a label for what it added to the ones before it: "New fact", "Update", "Correction", "Reaction", "Context", or "Rephrase". Hover to see what exactly is new. In a couple of seconds you can tell which of ten posts about one event are worth opening and which just retell the first. Next to it is the judgment each channel attaches to the event.
Newsmakers: who shows up most, and in what tone
The "Newsmakers" section counts which people, companies, and organizations show up most often across your channels' posts — broken down by tone (negative/neutral/positive) and how many distinct channels wrote about them. Every card comes with example headlines, not just a number. It's the same tone field an LLM already assigns to each post, and it's the same one already used to show sentiment next to the importance score in monitorings and digests.
How much you can take a source at its word
"Source attribution" is a metric for news channels (65%+ news posts): how often a channel states bare claims without citing a source, plus a separate share of "unverified stated as fact." It's an AI assessment based on post text, not an editorial audit, and it says nothing about a channel's political stance — only its formal habit of backing up what it says. Opinion columns, investigations, and personal blogs are excluded from this ranking: they're a different genre.
How it fits into Radar
The report runs on the channels from your monitorings or digests, and the Source filter next to the title narrows it to one or several of them. If you need a set of channels that isn't tied to them — say, to track competitors or an industry — there's a separate Radar section for that: add channels, pick the companies and people you want to follow, and get the same views plus the events around the objects you picked.
Updated September 23, 2026: this section is now called "What channels write about" and opens with a button in the "Media monitoring" or "News digest" section; separate analytics channel lists have been replaced by Radar.
All of this is already live in your dashboard — open "What channels write about" in the "Media monitoring" or "News digest" section and see what's happening in the channels you're already following. Start for free.