Digital verification workflows
Documented workflows for collecting, checking, comparing and recording digital evidence so a verification task does not live only in one researcher’s head.
S/02 Digital investigations · Verification · Bangladesh
Investigative technology for information that needs to stand up to scrutiny.
Suhanur Rahman works at the intersection of digital investigations, research and software. The objective is not to make an accusation sound convincing; it is to build an evidence trail that another person can inspect, question and reproduce.
0103
evidence layers: source, context, technical
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verification capability areas
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evidence trail from claim to conclusion
04100%
human judgement retained
Verified
Evidence another person can reproduce.
01 — The problem
Where the complexity usually starts.
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Your team finds claims quickly but cannot document the evidence path consistently.
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Verification depends on one experienced researcher and is hard to reproduce.
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You need technical context, not just a quick search-engine result.
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Your newsroom or research team needs a repeatable verification workflow.
02 — How the work starts
A claim is only as useful as the evidence behind it.
Digital investigation can mean very different things depending on the case: tracing online material, validating a source, checking whether a visual or statement has been altered, examining technical context, or building a repeatable workflow for a newsroom that has to do the same checks every day.
The common discipline is evidence handling. Separate what is observed from what is inferred. Preserve the original context. Test alternative explanations before settling on one. Record enough detail that another researcher can understand how a conclusion was reached — from claim to source to context to technical check to conclusion.
That mindset comes from years spent building research systems where poor data quality can quietly distort an otherwise sophisticated analysis.
03 — What can be built
From one-off verification to repeatable investigative systems.
Research and evidence tooling
Small internal tools, data pipelines and dashboards that reduce repetitive investigation work while keeping humans responsible for judgement.
Information integrity systems
Validation, anomaly detection and audit-friendly data structures for projects where the input itself may be incomplete, disputed or adversarial.
Training and capacity building
Practical training for journalists, researchers and field teams on digital verification, data quality and the technical habits that make evidence easier to trust.
04 — Why the technical background matters
Investigation is stronger when the underlying systems are understood.
Software experience changes how an investigation is approached. A suspicious dataset can be profiled programmatically. A repetitive verification step can be turned into a controlled pipeline. A research team can document exactly how data moved from collection to publication. A website, API or database can be treated as evidence-bearing infrastructure rather than a black box.
That combination is particularly useful for investigative newsrooms, research organizations, civic-technology teams and international programs operating in information-heavy environments.
05 — Start here
Discuss the case Need digital verification or investigative technology support?
For confidential or exploratory work, begin with the research question and the evidence problem rather than a technology wish list. The right tooling follows from the investigation, not the other way around.
06 — Related workAll services