Sourced

Sourced -- Signal landscape

The narrative intelligence data landscape

A living view of which data sources teams are using to track how narratives form, spread, and shift across the public web -- from social platforms to fringe communities to broadcast media. Updated as the market shifts.

Updated June 2026·Maintained by Mulberry
Narrative intelligence data landscapeQ3 2026 · Sourced by Mulberry · sourced.ccINTEGRATEDrunning todayIMPLEMENTINGactively addingINTERESTwatchingTwitter / X · 14Online News · 12Reddit · 11YouTube · 14Blogs · 3Forums · 3TikTok · 15Threads · 5Podcasts · 1Broadcast TV · 1Bluesky · 4Telegram · 2VK · 3Truth Social · 2Integrated -- running todayImplementing -- actively addingInterest -- watchingDot size reflects tracked provider count in SourcedMovement this quarter
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Integrated

Twitter / X

Twitter/X remains the primary signal for watching narratives form in real time. The platform's compression of public commentary, journalist and analyst activity, and coordinated amplification into a single stream makes it irreplaceable for narrative tracking despite its platform volatility. Access to the full firehose has narrowed significantly under the current ownership structure and providers vary substantially in what they can actually deliver versus what they advertise -- teams should request delivery verification before committing.

Online News

Structured online news coverage is the oldest and most mature data category in this space but differentiation between providers has increased, not decreased, as publication volumes have grown. The key variables are source breadth, deduplication quality, language coverage, and whether the provider has kept pace with the shift from print-native to digital-native publications. Teams tracking narrative spread should specifically evaluate how quickly a provider's index reflects new articles from regional and non-English sources.

Reddit

Reddit sits at the origin point of a disproportionate share of narratives that subsequently amplify across mainstream platforms. Subreddit-level early detection -- not just surface-level keyword monitoring -- is what gives teams an actual lead time advantage. Multiple enterprise providers offer near-real-time delivery with historical depth to 2010. Coverage quality differences between providers tend to show up on low-traffic subreddits and deleted content, which is precisely where the earliest signal on sensitive narratives often appears.

YouTube

YouTube carries significant narrative signal that most teams systematically underweight. Influencer and commentary content on YouTube reaches large audiences and frequently precedes narrative amplification on faster-moving platforms. Transcript-level and comment-level data at scale is available from multiple enterprise providers. Teams focused on narrative origins rather than just narrative spread should treat YouTube as a primary rather than supplementary source.

Blogs

Blog and long-form content coverage matters most for narrative intelligence teams tracking policy, B2B, and niche community narratives where the primary authors are not active on mainstream social platforms. Signal-to-noise is a meaningful challenge -- the space benefits significantly from good entity extraction and topic classification. Three enterprise providers offer structured blog coverage with sufficient enrichment quality for narrative tracking at scale.

Forums

Forum coverage beyond Reddit is the primary source for verbatim community voice in niche verticals. Tech forums, industry-specific communities, and topic-specific platforms carry early narrative formation that surfaces on mainstream platforms weeks later. Coverage depth varies significantly between providers -- teams should specifically ask about niche forum inclusion and whether coverage has kept pace with the migration of communities from legacy forum software to newer platforms.


Implementing

TikTok

TikTok has become a primary narrative origin point for stories that subsequently cross into mainstream media and text platforms. Brand crises, political narratives, and cultural moments increasingly surface on TikTok first, with audio and visual format making them structurally different from text-native narratives. Several enterprise providers now offer structured transcript and caption delivery with entity extraction. Teams not running TikTok coverage are consistently later to the stories their stakeholders are asking about.

Threads

Threads is being integrated by teams tracking consumer and media narratives where Meta's audience is concentrated and where the platform's reply structure makes it useful for watching how narratives develop through public discourse. Volume is lower than X but the platform's design encourages extended thread-based discussion that carries different signal characteristics than headline-level platform activity. Provider access is cleaner than X and incremental cost to add Threads to an existing social feed is low relative to the coverage gain.

Podcasts

Podcast transcript data is the fastest-growing integration category in narrative intelligence over the past year. Long-form audio content has historically been invisible to structured monitoring stacks despite reaching large and highly engaged audiences. A single enterprise provider currently offers structured transcript delivery with entity extraction and good coverage of English-language shows. International and niche show coverage remains a gap. Teams should begin evaluating now given the lag between when podcast coverage matters and when you can procure and integrate the data.

Broadcast TV

Broadcast television monitoring has been available for years through a small number of specialist providers but adoption in narrative intelligence workflows is accelerating as teams recognize that broadcast remains the primary news format for large audience segments. Transcript-level monitoring with entity extraction is available. Teams running digital-only coverage are missing a meaningful share of the population that forms and spreads narratives through broadcast channels, particularly in political and crisis contexts.

Bluesky

Bluesky carries outsized signal for narratives originating in tech, journalism, and policy communities where platform migration from X has been most significant. The AT Protocol's open architecture means data access is structurally more reliable long-term than closed platforms with unpredictable API changes. Volume remains low relative to X but the audience quality for certain narrative categories -- particularly those involving media criticism, technology policy, and science communication -- is disproportionately high.


Interest

Telegram

Telegram is a primary channel for coordinated narrative operations, activist communications, and information sharing in conflict and political contexts. Public channel content is accessible via two providers in the Sourced directory. Private channel content presents persistent access challenges that no commercial provider has fully solved. Teams monitoring adversarial narrative operations or geopolitical situations should understand exactly what their provider can and cannot deliver on Telegram before relying on it for coverage.

VK

VK is the dominant social platform in Russia and carries significant signal for monitoring narratives in Russian-language contexts, Eastern European markets, and diaspora communities. Three enterprise providers offer VK coverage. Teams monitoring geopolitical narratives, Russian state media amplification patterns, or Eastern European brand and political dynamics should treat VK as a required source rather than an optional one.

Truth Social

Truth Social carries signal specifically relevant to teams monitoring US political narratives, right-wing media ecosystem dynamics, and coordinated political messaging. Two providers currently offer coverage. Volume and cross-platform amplification patterns make it a useful leading indicator for narratives that subsequently surface in mainstream political coverage. Infrastructure is early relative to established platforms but stable enough for ongoing monitoring.

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