OSINT
Instagram, including Stories
Facebook, TikTok and X
Web and public records
InflueAnswers presents Shifra
Intelligence you can
trace to its sources.
Creative research. Strategic communications.
Technology that helps us see further.
Behind the visible story
Narratives. Agendas.
The connections between them.
We follow a story back to its origins, examine what carries it further, and keep the evidence in view.
The spotlight reveals the questions.
01 / The information environment
TV, print, social platforms, private messages and human sources feed the same research environment.
Instagram, including Stories
Facebook, TikTok and X
Web and public records
TV broadcasts
Print and radio
Wire services
Public WhatsApp and Telegram
groups and channels
Authorised inputs
Interviews and field reports
Human-source inputs
Human-supplied, then ingested
MOCK DATA · Fictional examples, not actual posts or reports.
Instagram Story
Political analyst Ralph Baydoun posted a picture of himself with a left-leaning political figure as part of the Beirut Arab International Book Fair 2006.
Fictional photo and account name blurred.
WhatsApp / Authorised group
“The meeting went ahead today.”
Example meeting M-01
Al-Manar / Citing Israel’s Channel 11
“The meeting was cancelled today.”
Example meeting M-01
Contradiction: review
A contradiction flag prompts analyst review. It does not establish which claim is true.
02 / Collection and enrichment
data points collected and enriched
monthly across MENA
Automated collection and ingestion
On entry, each signal receives context.
Ongoing checks flag inconsistencies and contradictory information as the collection evolves.
Human intelligence is supplied by people and processed through the registration workflow.
Across all four funnels
Origins, links and limits
Implications and next action
Private client vaults remain separate. Their material is never sent to a commercial model.
Arabic, English,
Hebrew and Persian
Regional coverage across MENA.
The map shows monitored coverage, not public opinion or incident severity.
03 / The method
Signals enter tagged and classified, with checks for conflicting information.
Identify the speaker and intended audience.
Describe the framing and alignment.
Separate claims from corroboration. Flag inconsistencies for review.
Link actors, places and events across time.
A connection is a lead to inspect in the records.
Connections do not by themselves establish causation, coordination or the truth of a claim.
Built on more than 190,000 items analysed by hand over four years.
04 / Why not just a chatbot?
A browsing chatbot can find the mandate. Shifra traces the claim against the evidence.
Illustrative case / A mission’s mandate
“Is the mission taking over border control?”
Several appearances. One claim to trace.
Independent origins
The forwards repeat the TV claim. They add no independent confirmation.
Preserve the Story before deletion so the original record remains available for review.
Preserved evidenceThe Story is retained after deletion because it was captured beforehand.
Declared blind spotsNo on-the-ground operations were analysed. The corpus alone cannot establish or exclude a takeover.
Private researchThe briefing and the analyst’s questions stay off the open web. Private material never goes to a commercial model.
05 / The research workspace
Intelligence for
the People
Research, connected.
Evidence, in view.
Follow the thread into Shifra.
06 / Ask the Live Library
Query all four funnels with AI and inspect the evidence behind each answer.
“What happened in the Strait of Hormuz this month, and who is claiming what?”
Numbered citations keep the answer connected to its evidence.
Product output excerpt. Click to inspect the original screenshot.
The amber note identifies dependence on aligned sources, anonymous officials and a secondhand account. Citation counts are not counts of independent origins. This interface demonstration is not independent verification of the events shown. The original audit status reads “REVISE” and “refined by the auditor”.
07 / IA Debrief
A focused brief on each watch,
generated and delivered four times a day.
IA Debrief / Product output excerpt
What happened on cluster X. What changed in location Z. Each brief covers one defined watch.
Generated and sent to the analyst four times a day. No prompting, no dashboard to check.
Reported and disputed claims separated, uncertainty declared, follow-up questions scoped.
The excerpt retains the original limitation: live wire checks are paused and many claims are asserted rather than verified.
08 / The research boundary
Private material stays isolated. Closed-mode answers stay within the corpus.
Separate for each client.
Private files never go to a commercial model.
Tagged signals from all four funnels
Faithfulness audit before display
Closed mode has no web tool.
Explicit request only. Results labelled external and kept separate.
“Not in the corpus.”
Closed-mode questions stay off the open web.
09 / What your team can follow
Know what changed, who is involved, and what deserves attention.
Illustrative case / A claim about your programme
TV makes the claim.
Social posts and WhatsApp repeat it.
Field report:
“Activities continue.”
Repeats trace to one origin. The field report conflicts with it. Timing and scope need review.
Evidence remains conflicting. Verify locally before responding.
Every finding links to its source.
Notice a change while there is still a question to investigate.
Spot emerging changes and flag what needs attention, with evidence limits visible.
Early warning identifies observed changes and unresolved risks that deserve attention. It does not predict future events or certify a claim as true.
10 / The work behind Shifra
Published investigation, automated checks and a working newsroom deployment.
Lebanese channels attributed wartime claims to unnamed Hebrew-language media. The investigation traced a circular chain of attribution that created the appearance of independent corroboration.
Read the investigationSamir Kassir Foundation and InflueAnswers · 9 March 2026
A state outlet quietly swapped the attributed identity of an attacker between broadcasts. Shifra’s tripwire flagged the contradiction against the earlier record automatically.
Founder-reported platform example: flagged before a human noticed.
Shifra runs daily for a regional newsroom: multilingual ingestion, enrichment and cited briefs on live MENA coverage.
Deployment described in the October 2026 product deck.
11 / Shifra by InflueAnswers
A pilot starts with one standing question
you already need answered.
A narrative you’re tracking, a claim that keeps resurfacing, a programme under attack.
Your sources and ours, ingested into a workspace that is yours alone.
Briefs that separate reported from disputed, with every claim traceable to its record.
Intelligence you can trace to its sources.
influeanswers.com ↗