Service 02
Reputation and risk intelligence: see the problem while it is still small.
Sentiment explained rather than counted, reputational risks flagged early, and misinformation assessed by analysts before it spreads, so you can decide whether to contain, monitor or respond.
Why sentiment needs explaining
Automated sentiment percentages tell you that something changed, not why. In the GCC, criticism is often expressed indirectly, through framing, repetition or omission, and automated tools routinely misread it. A VEER analyst reads the coverage, names the trigger, and tells you whether the shift is genuine public reaction or manufactured volume.
How we detect and assess misinformation
Misinformation in Arabic rarely arrives as an obvious falsehood. More often it is a true fact in a misleading frame, an old image reused, or a quotation stripped of its context.
- Claims that contradict the established record
- Recycled content presented as current
- Selective quotation and misleading framing
- Rumours forming around an announcement
- Where and on which platform it surfaced
- Who is carrying it, and how credible they are
- Whether it is spreading, plateauing or fading
- Whether a response would amplify it
- The claim and the accurate position
- The accounts and outlets propagating it
- Growth metrics and current reach
- A recommendation: monitor, brief internally, or correct publicly
How alerts are tiered
Critical
Within minutesA narrative or claim with direct reputational consequence. Phone and message escalation to a named contact.
High priority
Within the SLA windowA significant shift that needs to be seen today but does not need an immediate decision.
Standard
In the daily summaryNoted, tracked and carried forward, visible without interrupting anyone.
Thresholds are set per topic against its own normal volume, so a quiet subject that starts moving is not buried beneath a noisy one.
What triggers an alert
- Conversation volume rises sharply against its own baseline
- A new narrative frame appears around a tracked topic
- Sentiment turns, or the reason behind sentiment changes
- A high-reach or high-credibility account enters the conversation
- A story jumps platform or language, or moves from social into mainstream media
- Inaccurate or misleading claims appear about a tracked entity
During a crisis
When a live issue develops, monitoring frequency increases, an analyst stays on the account, and you receive rapid analysis on demand: what is being said, by whom, how fast it is moving, and which response options are likely to calm or inflame it. After the event, we provide a written review of how the narrative developed.
Where we draw the line
Assessment is analyst-led. We do not offer automated bot-network forensics or technical attribution of coordinated campaigns, and we will not present inference as proof. When we are not certain, we say so and state our level of confidence.
Service levels
Every VEER engagement runs to the same written commitments.
| Commitment | Standard |
|---|---|
| Breaking alerts | 95% within 20 minutes |
| Relevance accuracy | 97% or better, validated |
| Missed critical mentions | Zero-tolerance standard |
| Query response | Under 2 hours |
| Portal availability | 99% or better uptime |
| Escalation | A named analyst, not a ticket queue |
Questions about reputation and risk intelligence
What is reputation intelligence?
Reputation intelligence is the analysis of how an organisation is perceived across media and social conversation, why that perception is changing, and which issues could damage it. VEER combines monitoring data with native Arabic analysts who explain the drivers behind sentiment and recommend whether to contain, monitor or respond.
How does VEER detect misinformation in Arabic?
VEER tracks claims about each client's entities and compares them with the established record. Analysts then establish where a claim first surfaced, who is carrying it, how credible those accounts are, and whether it is growing. The client receives a written alert with the accurate position and a recommendation: monitor, brief internally, or correct publicly.
Is automated sentiment analysis reliable for Arabic?
Not on its own. Automated models misread dialect, sarcasm and indirect criticism, which is common in GCC public discourse. VEER uses automated sentiment as a first pass and has analysts validate it in context, treating sentiment as an interpretive indicator rather than a definitive metric.
Does VEER provide crisis monitoring?
Yes. During a live issue VEER increases monitoring frequency, keeps an analyst on the account, and delivers rapid on-demand analysis of what is being said, by whom and how fast it is spreading, with response options. A written review of how the narrative developed follows the event.
Can VEER identify bot networks?
VEER does not offer automated bot-network forensics. Analysts do assess whether volume looks organic, using timing patterns, account provenance and network position, and they report that judgement with a stated level of confidence rather than presenting inference as proof.
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Last updated October 2026
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