The proliferation of fake news is a significant challenge for modern democratic societies. Inaccurate information can affect the health and well-being of people, especially during the challenging times of the COVID-19 pandemic. Furthermore, disinformation erodes public trust in democratic institutions, by preventing citizens from making rational decisions based on verifiable facts. A disturbing study has shown that fake news reach more people and spread faster than actual facts, especially on social media. MIT researchers have discovered that fake news are 70% more likely to be shared on platforms like Twitter and Facebook¹.
It is an undeniable fact that climate change poses the biggest challenge for humanity in the current era. The global mean temperature is constantly rising, and the IPCC has pointed out the increase should be limited to 1.5 °C above pre-industrial levels, to have any hope of mitigating the harmful effects of climate change. This goal was set in the Paris Agreement, which was adopted by almost every country in the world on 2015. Unfortunately though, little action is being taken to deal with the problem, highlighted by the alarming scientific research that is constantly published.
The COVID-19 pandemic had a devastating impact on most aspects of human activity. Tourism is one of the industries that have been significantly affected, as many companies associated with it are struggling to survive during these challenging times. In this article, we are going to focus on the Airbnb market in Athens, the capital city of Greece, and the ways it was affected by COVID-19. Most people are familiar with Airbnb, the short-term rental platform that is used by millions of people in their travels. Airbnb has transformed the hospitality industry, by becoming a fundamental part of the so-called sharing…
out·li·er | \ ˈau̇t-ˌlī(-ə)r \
1 : a statistical observation that is markedly different in value from the others of the sample
2 : a person or thing that is atypical within a particular group, class, or category
Outlier detection is the identification of data set elements that vary significantly from the majority. Those elements are known as outliers, and there are various incentives for detecting them, depending on the context and domain of each case. A typical example is fraud detection, where outliers in a financial data set may indicate fraudulent activity, such as transactions with stolen…
Climate change is undoubtedly one of the biggest challenges that humanity is facing. The past decade was the warmest on record, and 2019 ended with a global mean temperature of 1.1°C above pre-industrial levels. Rising global temperatures have a significant impact on every aspect of human well-being, such as health and food security. Numerous people have died because of heatwaves in recent years, while others are suffering from hunger due to climate variability and extreme weather events.
Scientists are constantly making alarming discoveries related to global warming. For example, it was recently reported that the earth has lost 28 trillion…
A data scientist who is interested in politics, science, music and acquiring knowledge about random things.