Content creators
This first map shows the distribution of content creation in the
region. The size of each circle represents the population while the
color of each circle represents the amount of content generated by each
country (the darker the color, the more content created). As we can see,
there are relatively few content creators and they seem to be heavily
concentrated in Mexico.
# Create Leaflet map
leaflet(data = merged_data) %>%
addTiles() %>%
addCircleMarkers(
lng = ~`Longitude (average)`,
lat = ~`Latitude (average)`,
radius = ~sqrt(TPopulation1Jan/100), # Adjust radius based on weight
color = "black",
fillColor = ~colorNumeric(palette = "Blues", domain = log(merged_data$Weight))(log(Weight)),
stroke = TRUE,
fillOpacity = 0.6,
popup = ~paste("Country: ", Country, "<br>Weight: ", Weight)
) %>%
addLegend(
position = "bottomright",
pal = colorNumeric(
palette = "Blues",
domain = merged_data$Weight,
na.color = "transparent"
),
values = ~Weight,
title = "Weight",
opacity = 1
)
Content
For this next map, I identified the mentions of other countries
within the publication. So for example, if an ecuadorean content creator
talked about brazil, then brazil was coded. Based on this work, I
identified how much Latin American Facebook groups talk about each
other. The following map presents how often each country was mentioned
in the content analyzed, with the color of the circles representing the
frequence and the size representing the country’s population. This
visualization shows that the content is more evenly distributed among
the countries of the region, meaning that even when most content
creators come from Mexico, the content itself often talks about the
other countries in the region.