Unveiling Political Influence Through Social Media: Network and Causal Dynamics in the 2022 French Presidential Election
arXiv:2506.16449 · doi:10.3389/fpos.2025.1653101
Abstract
During the 2022 French presidential election, we collected daily Twitter messages on key topics posted by political candidates and their close networks. Using a data-driven approach, we analyze interactions among political parties, identifying central topics that shape the landscape of political debate. Moving beyond traditional correlation analyses, we apply a causal inference technique: Convergent Cross Mapping, to uncover directional influences among political communities, revealing how some parties are more likely to initiate changes in activity while others tend to respond. This approach allows us to distinguish true influence from mere correlation, highlighting asymmetric relationships and hidden dynamics within the social media political network. Our findings demonstrate how specific issues, such as health and foreign policy, act as catalysts for cross-party influence, particularly during critical election phases. These insights provide a novel framework for understanding political discourse dynamics and have practical implications for campaign strategists and media analysts seeking to monitor and respond to shifts in political influence in real time.
18 pages, 10 figures
References in corpus (9)
- Fast unfolding of communities in large networks
- Measuring Information Transfer
- A Random Matrix Approach to Cross-Correlations in Financial Data
- The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election
- Virality Prediction and Community Structure in Social Networks
- Neutral bots probe political bias on social media
- Analysis of Nonlinear Synchronization Dynamics of Oscillator Networks by Laplacian Spectral Methods
- Uncovering functional brain signature via random matrix theory
- Auditing Political Exposure Bias: Algorithmic Amplification on Twitter/X During the 2024 U.S. Presidential Election