Built on a decade of Telegram infrastructure. NarraPrism is the analytical layer above an indexing system that has continuously processed public Telegram channels since 2015.
Topics are measured across the full archive. Beneath them, the positions a text promotes are coded against a fixed codebook: "the talks are a path to peace" and "the talks are a surrender" are two separate objects. Position coding is delivered on commissioned work and reported as an estimate, with its validation sample.
The same event or claim read side by side across language communities: where the framing converges, where it splits, and which layer moved first.
What channels publish and how their audiences actually react are tracked separately. The gap between them is often the finding.
Networks are detected from publishing behaviour, not assigned by hand: who reposts whom, and which channels publish the same text within hours of each other. Shows who is amplifying what, empirically.
Short public cuts from the research corpus, each showing a different region and language community. Every one of them is a surface reading produced without asking the data a hard question. The depth below each is commissioned.
All of these cuts are surface readings; the depth below each is commissioned.
A public page states a direction. A commissioned cut states an answer. One subject goes in - an actor, a brand, a claim, a corridor, a location, a name. This is the shape of what comes back, with identifiers withheld here because this is a public page.
First results in days rather than months, across any of the languages in the index, answered backwards across years of history as readily as forwards. Send one subject and we will come back with a short read on what the environment holds on it.
NarraPrism is the third layer in a continuous research stack. The directory and search products generate the indexing pipeline and operational dataset that the analytical layer is built on.
Structured public directory organized by topic, country and language. 132,000+ communities published across 271 categories, 72 languages, 154 countries. The original indexing system, continuously maintained.
Dedicated search across tens of millions of public Telegram communities, with structured filters for activity, language, country, member count. The retrieval layer for researchers, journalists, OSINT practitioners and NGOs.
Analytical layer for content intelligence and large-scale narrative analysis. Built on the corpus, repost graph and channel metadata accumulated over the previous decade. Current research corpus: 84 languages, 12 months.
The full indexed corpus by language. The research corpus (see Coverage below) is drawn from this base.
Twelve months of posts, September 2025 – August 2026, from public channels and discussion groups on news, politics, security and society. Every figure below is computed from the archived corpus and can be reproduced from it.
Language not determined for about 10% of posts. Volumes reflect current collection and grow as coverage expands.
The index behind this research holds 18M+ Telegram channels and groups across 140+ languages and grows every day, with 67M+ further channels discovered and queued. Topics range from politics, security and economy to finance and crypto, technology, education, religion, health, commerce, media and local communities, across Eastern Europe, the Middle East and North Africa, Iran and Central Asia, South and Southeast Asia, Europe, Latin America and Africa.
The research corpus above is a small part of this index. Any topic, language or region can be collected and analysed in depth on request.
Every area below is a first cut of the data we already hold. Any of them — or any other topic, region or language — can be expanded substantially: targeted collection of additional channels and groups, longer history, comments and audience reactions, and custom research built around a client's questions.
The global Telegram agenda across 84 languages: shared and diverging events, how fast the same event travels between languages, and what draws audience response.
Chinese-language channels covering Cambodia, Myanmar, the Philippines and Thailand: recruitment, settlement, promotion, exposure and audience reaction.
Prices, currencies, energy and wages as discussed by audiences in Russian, Persian, Turkish, Arabic, Ukrainian and Spanish.
Agenda, economy, labour migration and infrastructure across the language communities of the region.
Economy, water and climate, culture, education and everyday life in the second-largest language community of the corpus.
Agenda, economy and security in Venezuela, Cuba, Mexico, Colombia and Argentina.
Every engagement starts from a defined question. Topic, languages, period and depth are agreed before work begins, and the price is fixed in advance. Every figure we deliver is backed by a frozen evidence set and can be reproduced on request.
A commissioned study on the question you bring: findings, audience response across languages, method notes and limitations, the evidence set behind every figure, and a walkthrough session with the analyst.
Your team works in the research workspace directly: questions to the corpus, saved research, reports with disclosed sources, and topic collections chosen for your mandate. Plans scale by number of topics, research volume, archive depth and seats.
Standing watch on the topics, regions or languages you name. You are informed when discussion volume breaks its normal range, when a topic surfaces in sources that were silent on it, or when audience response shifts sharply.
Public-sector and enterprise terms — dedicated capacity, team access, data isolation, custom collection and procurement documentation — are agreed individually.
Request a proposalThe global Telegram agenda, September 2025 – August 2026: which events each language community discussed, where agendas converged and diverged, how fast the same event travelled between languages, and what drew audience response. Built on the full research corpus, with every figure reproducible from the archive.
What a channel publishes and how its audience reacts are two different opinions. NarraPrism separates them by default — and the gap is frequently where the analytically interesting result lives.
One event or claim compared across languages: framing, timing and audience response in each layer, read side by side and week by week.
Channels that publish the same text within hours of one another are resolved into networks, alongside who reposts whom. Coordinated copies are counted once, so volume is not inflated by duplication.
Channels are profiled by the position they hold on a defined question and set against the networks they publish in. Lets the analyst answer: which camp is carrying this, through which network, and with what audience response. Delivered on commissioned work.
NarraPrism ingests content from public Telegram channels. The current research corpus covers twelve months (September 2025 – August 2026) across 84 languages, drawn from a continuously updated index of channels and groups meeting activity and size criteria. The corpus is archived; every published figure can be reproduced from it.
Topics are measured with disclosed lexical markers over the full archive. Channel stance and audience reaction are treated as separate analytical layers — the gap between them is, in practice, where the interesting result tends to sit. Audience signal is derived from platform engagement (views, comments and reactions), normalized to within-language baselines, not from generated emotional labels. On commissioned work, positions are coded against a fixed codebook following discourse network analysis; coded positions are reported as estimates together with their validation sample.
Networks are detected from publishing behaviour — reposts and identical texts appearing across channels within hours — with no manual labels in the detection step. Channel-level camps are assigned on a defined question and can be reviewed channel by channel.
Every report states confidence bounds and known failure modes. Detailed methodology, validation procedures and reproducible query sets are provided to institutional partners under NDA.
How audiences in different language communities receive a policy decision — channel framing vs audience reaction, before mainstream coverage catches up.
Cross-language narrative briefs on contested topics, with traceable method and reproducible queries — citable in publications.
Detection of narrative environments that affect mission areas (migration, conflict, human rights) — empirical, not anecdotal.
Repost-graph traces from a story back to source communities. Convergence patterns between unrelated networks.
Narrative risk around markets, sectors and counterparties across languages — early signals with traceable method.
How a brand, organization or topic is framed across language communities, and which networks carry that framing.
An international team of Telegram researchers and data engineers — a decade of continuous work in this space.
The team began operating large-scale messaging communities before Telegram existed. When Telegram introduced supergroups and a proper moderation architecture in 2015, that early operational involvement produced the first structured dataset on the platform — maintained and extended ever since.
Over a decade, the collection infrastructure has processed a significant portion of the Telegram ecosystem. The majority is filtered at the collection layer — inactive accounts, short-lived groups, communities below threshold. What is retained is the operational corpus on which NarraPrism's analytical layer runs.
NarraPrism is an independent commercial company. It is not affiliated with, funded by, or acting on behalf of any government, political party, campaign or advocacy movement, and takes no position on the conflicts and actors it measures. One methodology is applied to all sides. NarraPrism does not provide influence, campaign or content-promotion services.
Verification, team credentials and references are provided to institutional partners under NDA on request.
NarraPrism is currently in private access. We work with organizations that have a defined use case — research institutions, policy and public-sector teams, NGOs, media, and corporate risk and compliance teams. Custom analysis and sample reports are available on request.
Direct contact: research@narraprism.com
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