Part I
Part II
Part III
Part IV
Part V
As we can see latest peek of refugees number was in 1991 (collapsing of USSR and war in Yugoslavia). After the year of 2015, we could see there is a dramatic increasing happening. Since 2011, the countries in Middle East, North Africa have been facing civil wars, military coups, suppression of free media and press by authoritarian leaders. Starting from Tunisia, Libya, and Egypt, since 2013 Syria, Iraq, Yemen have been following them. A lot of people are suffering from the egregious wars, destruction of their homeland. The unjust jail of the opposition press workers and politicians are increasing as well. In all circumstances, they all have one hope - migration to Europe and to find a new hope to live. But there is a problem... Now, Europe is about the new refugee crisis. In this report we will mainly focus on the events in Europe which are related to refugees and their coverage in media from the year 2015, 2016 and 2017
Click 'play' button on the top left, you cuold see the time revolution of year 2015, 2016, 2017 in this map. Move mouse to the map, you will get the detalied information in all the countries. This map shows the number of events that related to refugee in the distribution of europe countries.
This map shows the average tones of the events that related to refugee in the distribution of europe countries. The measurement of tones is from -10 to 10. Negtive value means negtive tones and positive vakue means positive tones.
This map shows the GINI coeffificent of the tones that related to refugee in the distribution of europe countries. GINI coeffificent is the most commonly used measurement of inequality. The measurement is from 0 to 1. The higher the more inequality it has. We could see the GINI coefficients are not high in general in the year of 2015, 2016 and 2017. This means the tones in the countries are all equally negitive during those three years.
Now, we want to show the relationship between tones and inequalities in countries. So we make scatter plots for tones (median) and gini coefficient of the tones in all european countries for the year 2015, 2016, 2017. The first scatter plot is the year of 2015. To explore the relationship of tones and gini coefficient with the view of statistic, we fit a linear regression on those two variables. The R-square is 0.41. That means the two variables have linear correlation in the year of 2015. The second scatter plot is the year of 2016. The R-square of the liner regression is 0.63. This means the two variable has linear correlation in the year of 2016. Also, this corrleation is even stronger than the year 2015. The third scatter plot is the year of 2017. The R-square of the linear regression is -0.47. That means there are no relationship between tones and the gini coefficient in the year of 2017.
Plot 1: K-means clustering of countries based on the number of events and the average tone of media coverage related to refugees
Plot 2: K-means clustering of countries based on the GDP per capita of them and the average tone of their media coverage related to refugees
Plot 3: We use K-means algorithm to cluster the countries with the tones in 2016 and 2017.
23.08.2015
Italy coastguard: 3,000 migrants rescued in one day in Mediterranean
09.09.2015
European Commission put the package of proposals for the help address the refugee crisis
28.09.2015
Hungarian police arrest driver of lorry that had 71 dead migrants inside
17.04.2016
Twelve Christian migrants drowned after Muslim migrants threw them overboard following a row on another migrant boat.
25.04.2016
European Union leaders praise Turkey’s efforts in welcoming refugees.
20.09.2016
UN Summit for Refugees and Migrants 2016.
20-25.12.2016
The Guardian's article related to abuses of young refugees in Denmark. The bombing attacks in several cities of the Europe(Berlin, etc).