The ICE Incident Was Real—The Online Outrage Was Engineered

Quick Overview

The online outrage following the ICE shooting of Renee Nicole Good in Minneapolis was largely engineered by foreign and inauthentic actors, as evidenced by the high percentage of inauthentic profiles using specific phrases like "her car," "she was driving away," and referencing Jonathan Ross, who was identified by media as the ICE agent who opened fire.

Key Points: The analysis revealed that 26% of profiles discussing the phrase "her car" were flagged as inauthentic (3,510 out of 13,114 total profiles). The phrase "she was driving away" was associated with 34% inauthentic profiles (1,159 out of 3,383 total profiles). The term "Jonathan Ross" (identified as the ICE agent) was associated with 19% inauthentic profiles (125 out of 646 total profiles). Highly engaged posts, such as one from 'local angry blk man' garnering 107M views, were flagged as 'Likely AI generated' and spread narratives about Good being the second person killed by ICE that week. The analysis showed a correlation between the terms 'Trump' and 'Renee Nicole Good' on the authenticity graph, suggesting political framing. The speaker explicitly states that the goal of these foreign/inauthentic actors is to anger citizens and drive clicks/revenue, not seek justice or truth. The speaker promotes his Substack, RyanMcBeth.Substack.com, and his 'Intel Life' T-shirt from BunkerBranding.com to support his work.

Context: The video discusses the social media reaction to the shooting of Renee Nicole Good by an ICE agent in Minneapolis. The speaker, SFC Ryan McBeth (ret.), an intelligence analyst, uses data visualization software to track mentions of key phrases related to the incident, such as "her car," "she was driving away," and the name of the ICE agent, Jonathan Ross. The context involves analyzing how this event was amplified and framed online, particularly by accounts flagged as inauthentic or AI-generated.

Detailed Analysis

SFC Ryan McBeth (ret.) analyzes the online discourse surrounding the fatal shooting of Renee Nicole Good by an ICE agent in Minneapolis to demonstrate how foreign and inauthentic actors engineer outrage. He begins by listing five common phrases used in tweets about the incident: "Her car," "She was driving away," "Legal observer," "Renee Nicole Good," and "Jonathan Ross." He then shows data from his threat detection software, Cyabra, which indicates a high proportion of inauthentic activity associated with these terms. Specifically, searching for "her car" showed 26% inauthentic profiles (3,510 accounts). The phrase "she was driving away" showed 34% inauthentic profiles (1,159 accounts). The agent's name, Jonathan Ross, showed 19% inauthentic profiles (125 accounts). He points out that highly viral posts, like one from 'local angry blk man' with 107M views, were likely AI-generated and framed the narrative around Good being the second person killed by ICE that week. The authenticity graph further suggests a correlation between the terms 'Trump' and 'Renee Nicole Good.' The speaker emphasizes that the goal of these actors is not justice but to provoke anger and drive engagement for profit. He concludes by asking viewers to think critically before reacting to emotionally charged online content.