The era of “fake news” is upon us. Navigating social media is a constant exercise of judgement, but data science can be a helpful to distinguish real from fabricated trending topics.
Thomas Louail and Maxime Lenormand explain how they analyzed credit card transactions data to explore the flow of money in urban areas, discussing the ways in which this tool can help spread wealth more evenly among neighborhoods.
Every day we are faced with a deluge of information, and not all of it is mirrored in reality. How do we decide to accept something as the truth?
In an era of fleeting but constant contact with extended online communities, it is common to find yourself wondering: are your friends happier/more popular than you?
Big data associated with natural history collections provide invaluable but underutilized opportunities to prepare students to explore, understand, and resolve challenges such as global climate change.
Dr. Fatuma Boru Guyo tells us about the Borana people and how their social organization changed with colonization from the British, specifically in relation to women’s roles.
The queer community is resilient. No matter what obstacles they encounter, their battle to live, pursue their passions, and contribute to society endures.
Most of European history is written on the skins of animals, transformed into a writing medium, which now represents one of the best historic biobanks in existence.
How does open access affect research and reporting?
The project “The Girl in the Spotlight” is a Mauritshuis initiative, and involves an international, collaborative team.
As artificial intelligence (AI) technology develops at breakneck speed, some worry that robots may take away jobs. A new research primer from the Journal of Organization Design looks at the current and future research landscape.
As women speak up against injustice, it is becoming clearer that the roots of their disadvantage might be deeper than categorical discrimination against them: it is not who they are, but what they do.
Information extraction is a major problem in the fields of natural language processing and web mining, in particular when it comes to evaluating domains where language cannot be taken at face value. In the study recently published on the journal applied network science, Mayank Kejriwal and Rahul Kapoor present a method that can potentially be used to assess the quality of information extraction systems in the analysis such domains, using the case of human trafficking. This article was published as part of the ongoing collection on modeling, analyzing and mining feature-rich networks.
No one would deny that the behavior of the people we know, and even of our own, can radically change depending on those who surround us. In epj data science, Alberto Aleta and Yamir Moreno peered into the world of online gaming looking to find clues to the dynamics of online crowds and what behaviors influence their outcomes.
Food consumption metrics predict neighbourhood prevalence of diabetes, hypertension, and high cholesterol.
The mass media is one of the social forces with the most active transformative power.