How can Artificial Intelligence give a voice to vulnerable populations?

It seems clear that the Covid-19 pandemic has created great challenges in the life and governance of our cities. However, these challenges are not the same for all the inhabitants of Latin America and the Caribbean. The pandemic has hit the most vulnerable in particular.

A part of the population of our cities, which sometimes tends to be unnoticed, are migrants. Migrants have been, and are, highly exposed to the impacts of the pandemic through their work on the front line, but also to vulnerabilities related to, for example, housing conditions and poverty.

Big Data at the service of the public sector: migration in social networks

In order to be able to know the situation of the migrant population during the pandemic in the cities of the region, the IDB, with the technical support of the Citibeats company, have carried out a monitoring in social networks on the perceptions of citizens about migration and its challenges in the cities of the region.

Methodology:

This project used Big Data Social as the main data source; specifically, public comments on Twitter and comments published in digital media, blogs and discussion forums related to the migratory phenomenon.

Data collection:

Since February 1, 2020, real-time data collection on this topic was carried out in 7 countries in the region: Argentina, Chile, Colombia, Costa Rica, Ecuador, Panama and Peru; and in 19 cities: Arequipa, Arica, Barranquilla, Bogotá, B. Aires, C. De Panamá, Cusco, Cúcuta, Guayaquil, La Chorrera, Liberia, Lima, Limón, Quito, Riohacha, San José, Santiago, Trujillo and Tumbes.

Analysis of the information:

Using an Artificial Intelligence algorithm based on natural language processing (NLP) and semi-automatic learning, comments were analyzed and structured on different topics in an aggregated and anonymous way. Subsequently, the data was divided into categories that were identified as the most relevant for these cities: Housing, Urban Infrastructure, Citizen Security, Regularization, Social Organization, Education, Public Services, Employment, Health, Food Security and Mobility.

Main citizen concerns: security, infrastructure and health

At the IDB, we wanted to help the region’s municipalities to take appropriate measures in the face of the situation of migrants in real time, while giving a voice to a sector of the population that is often invisible.

For this, and once the information had been analyzed in depth, a direct communication channel was established with the authorities of the countries and cities analyzed. The project’s findings were able to guide their interventions, inspire their communication campaigns, as well as quantify and validate their hypotheses about the digital conversation.

Citizen security:

Citizen security was presented as one of the main concerns of the population. 25% of online conversations dealt with this topic. The migrant population denounces being stigmatized as a cause of citizen insecurity in cities. Proof of this are the thousands of testimonies collected in the investigation that show how the word “migrant” is used as a synonym for “criminal”. It is of the utmost importance to expose and communicate these findings, as discrimination creates unrest and conflict that often leads to hatred and sometimes violence. Without timely intervention, the situation can escalate and become a problem in our cities.

For this, and once the information had been analyzed in depth, a direct communication channel was established with the authorities of the countries and cities analyzed. The project’s findings were able to guide their interventions, inspire their communication campaigns, as well as quantify and validate their hypotheses about the digital conversation.

Infrastructure:

Another problem identified in this analysis involved the transit of thousands of migrants back to their country of origin from the beginning of May to June 2020. As a result of the exodus, many migrants made settlements in public spaces and streets, in addition to causing the saturation of border crossings. All this activity aggravated the infrastructure problem and – as can be seen in the graphic below – generated comments related to infrastructure, as citizens expressed their deep concern about these events in the context of the health crisis and demanded government intervention.

For this, and once the information had been analyzed in depth, a direct communication channel was established with the authorities of the countries and cities analyzed. The project’s findings were able to guide their interventions, inspire their communication campaigns, as well as quantify and validate their hypotheses about the digital conversation.

Public health:

In parallel, at the beginning of June 2020 a large influx of comments related to the Health category was detected, as can be seen in the following graph. The comments pointed to immigrants as the main propagators of Covid-19. This conversation diminished after the borders closed.

For this, and once the information had been analyzed in depth, a direct communication channel was established with the authorities of the countries and cities analyzed. The project’s findings were able to guide their interventions, inspire their communication campaigns, as well as quantify and validate their hypotheses about the digital conversation.

This post is also available in: Spanish

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