Choose sources and dates
Use the same publication interval for every channel whose forwarding behavior will be compared.
Feature · Forwarding behavior
Measure the share of a selected channel's logical posts carrying Telegram forwarding metadata, using one period and explicit authorship limitations.
Research fit
Researchers comparing how heavily sources rely on Telegram forwards who need a transparent behavioral ratio without overstating provenance, originality, content ownership, or cross-platform reuse.
Use the same publication interval for every channel whose forwarding behavior will be compared.
Count each album as one logical post before classifying the forwarding marker.
Mark a post forwarded only when its stored Telegram payload contains the relevant forward origin field.
Divide forwarded logical posts by all logical posts for that source in the shared period and retain both counts.
Call the complement posts without forwarding metadata, not proven original journalism or exclusive content.
Practical module
The table keeps classification rules and provenance limits next to the percentage.
Analysis contract
For each selected source, Chat counts deduplicated logical posts whose stored raw Telegram message has fwd_from metadata and divides that count by every logical post in the common window.
Selected Telegram channels and an optional publication interval shared across all compared sources. Text similarity and external reposts without Telegram metadata are outside this calculation.
A source-level formula for comparing forwarded and unmarked publications while keeping authorship claims outside the result.
For [selected channels] from [start] to [end], count logical posts with Telegram forwarding metadata and calculate their share of all logical posts. Show both counts, the ratio, the common period, zero-post sources, and representative citations. Describe the complement as unmarked, not proven original content.
logical posts with Telegram fwd_from metadata / all logical posts in the same source and publication window.
# Telegram forward-ratio recipe A source-level formula for comparing forwarded and unmarked publications while keeping authorship claims outside the result. ## Calculation - Mode: source_comparison - Formula: logical posts with Telegram fwd_from metadata / all logical posts in the same source and publication window. ## Query For [selected channels] from [start] to [end], count logical posts with Telegram forwarding metadata and calculate their share of all logical posts. Show both counts, the ratio, the common period, zero-post sources, and representative citations. Describe the complement as unmarked, not proven original content. ## Inputs - **Sources:** Selected channels included in the behavior comparison. - **Period:** One publication interval shared by all sources. - **Forward rule:** Presence of stored Telegram fwd_from metadata only. - **Counting unit:** Logical post after album deduplication. ## Expected output - Total and forwarded post counts - Forward ratio by source - Shared comparison dates - Explicit zero-post sources - Evidence and provenance caveat ## Coverage checks - [ ] Do not infer copying from text similarity - [ ] Do not call every unmarked post original - [ ] Use the same dates for every source - [ ] Deduplicate album parts - [ ] Verify representative posts before interpretation
Boundaries
Founding research pilot
Bring one recurring research job and a small set of public sources. We will assess fit personally before offering a pilot.
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