Reddit source validation for content sourcing

Business value

• Protects content integrity before bad sources enter the research corpus.
• Reduces risk from AI-planted marketing, competitor sabotage, astroturfing, or generic reposts.
• Helps research agents prioritize firsthand accounts with concrete details.

Agent job to be done

Act as a source triage filter. Score candidate posts/comments, keep credible-specific sources, and send suspicious ones to verification or discard queues.

format: social_postintended_use: citedomain: Reddit source validation / travel scams

When to call VeracityAPI

Run after Reddit search/scrape and deduplication, before summarization or content generation.

What text to submit

Post title, body, selected comments, subreddit, timestamp, author age/karma if available, and permalink. VeracityAPI scores text; your agent should keep metadata separately.

Decision policy

• allow: low risk with concrete first-person details, timestamps, places, sequence of events, and no obvious promotion.
• human_review: medium risk, missing provenance, or source is important to a claim.
• reject: high risk for citation/training workflows, especially if evidence flags generic phrasing or unsupported claims.
• local override: never cite a Reddit post as fact without corroboration; use it as lead/source material.

Automation recipe

• Research agent collects candidate Reddit posts.
• Deduplicate near-identical stories.
• Score each candidate with intended_use=cite.
• Rank by content_trust_score and evidence quality.
• Send top sources to corroboration search; discard or quarantine high-risk posts.

Evidence spans agents should inspect

• story lacks place/time/sequence details
• generic warning language without lived experience
• promotional phrasing
• claims that read like summarized advice rather than firsthand report

Policy pseudocode

if (result.recommended_action === "allow") continueWorkflow();
if (result.recommended_action === "revise") rewriteWith(result.evidence, result.recommended_fixes);
if (result.recommended_action === "human_review") queueForHumanReview(result);
if (result.recommended_action === "reject") discardOrRebuild();

KPIs to track

• percentage of scraped posts filtered
• corroboration success rate
• human reviewer acceptance rate
• bad-source incidents prevented
• research time saved

What can go wrong

• VeracityAPI cannot prove a Reddit user is real.
• A truthful victim may write vaguely; do not reject high-impact sources without corroboration review.
• Combine with account metadata, cross-source search, and moderator signals.

Cost and latency notes

Analyze only is $0.005 per 1,000 characters; Analyze + revise with auto_revise=true is $0.010 per 1,000 characters. Both round up to the nearest 1,000 characters. Short captions/emails usually cost $0.005; longer pages or chapters scale linearly by length. Current v0.1 latency is LLM-bound, so batch/concurrent orchestration is recommended for high-volume pipelines.