THE LONG VIEW

Bottom Line Up Front: Algorithmic delivery of political ads on social media systematically favors male audiences for populist and far-right content, threatening electoral fairness and deepening gender-based political engagement gaps. Threat Identification: Gender-based algorithmic bias in political ad distribution on social media platforms during elections, resulting in disproportionate exposure of men to extremist or polarizing political messaging. Probability Assessment: High likelihood and immediate relevance, demonstrated during the 2024 European Parliament elections across 25 EU countries. The pattern is persistent and observable at scale, indicating structural issues in ad delivery systems rather than isolated anomalies [Bär, Corso, De Francisci Morales et al., 2024]. Impact Analysis: This skew undermines democratic integrity by limiting equal access to political information. It may reinforce gender gaps in political participation and amplify polarization by disproportionately directing men toward populist narratives. With over 7 billion impressions affected, the societal-scale impact on voter behavior and public discourse is significant [Bär et al., 2024]. Recommended Actions: (1) Mandate independent audits of algorithmic ad delivery systems during election cycles; (2) Require transparency in targeting and delivery metrics from platforms; (3) Develop regulatory safeguards to ensure equitable audience reach across gender lines; (4) Fund research into mitigation techniques for algorithmic bias in political communication. Confidence Matrix: High confidence in threat identification and impact due to large, multi-country dataset and controlled analysis. High confidence in probability based on observed patterns across platforms and political actors. Moderate-to-high confidence in recommended actions’ effectiveness, pending implementation and enforcement.