Summary of the Problem
The study explores how Facebook social media platforms facilitate the diffusion of problematic information acrossLatin America during the COVID-19 pandemic. Two significant online networks were analyzed, focusing on how citizens and groups perceive and react to health and health-related misconceptions.
Abstract
This research examined online Diffusion of problematic information across public Facebook groups in Spain and France. Using data from February 2020 to October 2021, we developed a methodology to analyze network dynamics, employing tools like CrowdTangle for quantitative analysis. This study highlights the influence of public discourse on online virability and the effectiveness of health interventions.
Theory
This work integrates Problem Diffusion theory and Network Science to analyze how various contents spread online. It employs statistical tools, such as centrality measures, to assess influential groups and modular partitions to discover cohesive networks within the data.
Methodology
Data Exploration
- Cases: The study analyzed two datasets, one on parliamentary discussions in Spanish (Case 1) and another on hydroxychloroquine use in French (Case 2). Each dataset included audiovisual content from public groups engaging in problematic information.
Case 1: MPV and False Pandемias
In the Spanish context, the MPV conspiracy theory spread through Facebook’s terminology. Groups engaged in mentions to Medicos por la Verdad expressed fear of official medical Bernardina, challenging preventive measures. Applications explored propagated手脚 for false epidemic information, raising political and social issues in Latin America.
Statistical Analysis (Case 1)
- Key Nodes: Nodes included conspiracy theories, which were categorized based on location, language, and theme. Highlighted relationships among groups, revealing super spreaders contributing to the narrative’s virality.
Case 2: Hydroxychloroquine and True Gathering
The French context focused on effective use of hydroxychloroquine to combat the pandemic. If mentioned or promoted by Dr. Didier Raoult, this content was discussed as a reliable medical device. Facebook networks observed a mix of hesitations, with physical activities also playing a role.
Statistical Analysis (Case 2)
- Key Networks: Exhibited extensive co-sharing behavior, with norms around safety. Measuring network properties like eccentricity revealed central hubs, and modular partitions identified cohesive groups.
Discussion and Policy Implications
The analysis underscores how social media influences online discourse, linking Facebook groups to health narratives. While these networks reveal factual data, their political implications remain unclarified. Understanding their spread could inform public engagement strategies.
Conclusion
This study contributes to understanding online Diffusion dynamics, offering insights into how problematic information spreads. While empirical findings guide public discussions, deeper political analysis is needed for informed policy.