Keywords, rules, and predefined risk categories play an important role in social risk monitoring. They help teams process large volumes of content, apply standards consistently, and identify patterns at scale. The limitations of relying on these AI-enabled tools alone emerge when teams need to determine what a signal means, whether it represents a genuine risk, and what action should follow.
In this webinar, Resolver’s Head of Corporate Risk Intelligence, Havar Munir, and Director of Product Marketing, Sharon Chung, examine three real social media risk scenarios from a global gaming brand. Hosted by Jillian Ney, founder of the Social Intelligence Lab, the discussion explores how automated social listening and media monitoring benefit from trained human-in-the-loop review to support effective decision-making in an increasingly noisy, complex ecosystem.
What you’ll learn:
- Why automated moderation struggles with context
Keyword-based moderation can process large volumes of content quickly, but it cannot always distinguish between genuine threats, satire, criticism, coordinated activity, or emerging reputation risks. Through real examples, you’ll see how context influences moderation decisions and where automated systems are most likely to create false positives and false negatives. - How analysts distinguish coordinated attacks from organic engagement
Not every spike in conversation volume signals a coordinated campaign. Learn how analysts assess account behavior, conversation patterns, amplification signals, and audience dynamics to determine whether activity represents organized manipulation, reputational risk, or normal engagement. - What effective social risk monitoring looks like in practice
Monitoring programs generate alerts, but brand, communications, and risk teams still need to determine what requires action. This session examines how organizations combine automated detection with analyst review to prioritize signals, reduce noise, and focus resources on material risks. - How escalation supports more accurate risk decisions
Whether a signal belongs with communications, ESG, compliance, safety and security, or another stakeholder group often depends on context. Learn how effective escalation processes help teams share intelligence, communicate risk clearly, and support timely decision-making. - How analysts can help teams get from signals to decisions faster
Data can surface emerging issues, but decisions require interpretation. You’ll gain a practical understanding of how analysts evaluate intent, credibility, potential impact, and business relevance when reviewing social risk signals.
Designed for corporate and online risk intelligence professionals responsible for:
- Social risk monitoring
- Brand protection
- Corporate communications
- Public relations
- Digital risk and reputation management
- Crisis preparedness and response
You’ll leave with a clearer view of where automation alone creates blind spots, what human analysts are actually assessing when they review a signal, and how to think about the gap between data and a defensible decision. Watch the on-demand session above to hear directly from Resolver’s Online Risk Intelligence team on what comprehensive social risk monitoring looks like for brands like yours.
