From the hash-bound evidence releases
Recorded claims
Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.
Using Reddit topic data, the authors compare how quickly user-generated text loses relevance for algorithmic conversation prediction and report differing decay rates across topics; they argue that where machine-learning data value decays quickly, continuous data flow, engagement, and user-base growth can matter more for competitive advantage than a fixed data stock.
Scope: Universe: Reddit user-generated text across multiple subreddits; unit: topic-specific data relevance to algorithmic prediction; period and observation denominator: not displayed; no numerical effect is asserted.
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (0)
No in-corpus outgoing citation is available in the current enrichment coverage.
Cited by (0)
No in-corpus incoming citation is available in the current enrichment coverage.
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- Abstract-level evidence only; full text was not inspected.
- The abstract does not display subreddit count, observation period, text-volume denominator, model specifications, decay estimates, or uncertainty; the competitive-strategy implications are argued from the measured relevance pattern.
Source independence
ssrn-only