Graph databases like Neo4j are being explored as a solution to combat disinformation campaigns on social media, particularly in the context of the 2024 U.S. presidential election. These databases can identify malicious accounts by uncovering connections between them that would otherwise go undetected. By representing social media advertising accounts and credentials as nodes in a graph database, researchers can analyze patterns and anomalies to distinguish between legitimate and malicious connected accounts. Graph databases also maintain historical data and relationships associated with deleted accounts, enabling analysis of their legitimacy. Furthermore, they can identify connections between accounts that don't share common credentials, shedding light on previously hidden influence and malicious activity. By leveraging relationship analysis, graph databases can help ensure the integrity of social media advertising during elections.