A social media expert witness analyzes online content, platform behavior, algorithms, engagement data, and user activity to help attorneys understand how digital content was created, distributed, interpreted, or amplified. I review posts, videos, comments, analytics, metadata, and platform-level signals to form clear, defensible opinions that support legal arguments.

Attorneys should involve a social media expert when a case includes online content, influencer activity, advertising claims, algorithmic impact, brand misrepresentation, platform analytics, or questions about authenticity. Early involvement helps preserve evidence, assess damages, interpret platform data, and guide overall strategy.

Courts look for professional experience, industry knowledge, and the ability to explain complex platform mechanics clearly. I’m qualified based on 15+ years in digital strategy, influencer marketing, platform analytics, and social media consulting, as well as testimony and deposition experience across multiple litigation matters.

Social media expert witnesses are often used in cases involving intellectual property, false advertising, influencer fraud, personal injury, defamation, wrongful death, consumer deception, algorithmic impact, platform misuse, and online harassment. Any matter involving digital content or platform behavior benefits from expert analysis.

Authentication requires verifying the creator, confirming metadata, reviewing timestamps, cross-checking user behavior, and comparing content against platform norms. Screenshots alone are insufficient; corroborating evidence often includes device data, platform logs, cloud backups, or independent digital records.

Evidence may include posts, comments, messages, videos, analytics dashboards, ad performance, follower data, engagement history, geolocation metadata, archived content, algorithmic signals, and interaction timelines. Each platform offers unique data points that help establish context, authenticity, and impact.

Algorithms determine what content is shown, when it is shown, and to whom. This affects foreseeability, amplification, damages, monetization, exposure, and user behavior. Understanding algorithmic distribution is essential to evaluating virality, reach, consumer influence, and potential harm.

Yes. Analytics, platform metrics, engagement patterns, audience reach, and monetization data often reveal whether content caused reputational harm, financial loss, or measurable exposure. Conversely, analytics can show minimal impact if damages are overstated.

I analyze follower quality, engagement ratios, posting patterns, device indicators, metadata, growth trends, and third-party verification tools. Fake or purchased followers create identifiable inconsistencies that differ from authentic audience behavior.

My methodology combines qualitative review, quantitative analytics, metadata evaluation, and platform-specific behavioral analysis. I apply industry standards, platform policies, and digital marketing benchmarks to form clear-supported opinions that attorneys can rely on for case strategy, declarations, depositions, and trial.