data science | Nieman Journalism Lab

Articles tagged data science (7)

Hanaa' TameezFebruary 2, 2022

How UC Berkeley computer science students helped build a database of police misconduct in California

When newsrooms, especially local ones, are strapped for engineering resources, the Berkeley students fill in a gap to help journalists complete more ambitious data projects.

Matthew HindmanMarch 30, 2018

This is how Cambridge Analytica’s Facebook targeting model really worked — according to the person who built it

The method was similar to the one Netflix uses to recommend movies — no crystal ball, but good enough to make an effective political tool.

Christine SchmidtJanuary 24, 2018

🤔: As emojis become further embedded in our lives, how can journalists find the stories inside?

“The hard part is not the technical stuff. The hard part is how to tell a story about this or ask the right questions. This is the most personal form of data science.”

Shan WangSeptember 15, 2017

Адаптация, A/B тестирование и аналитика: как BuzzFeed оптимизирует новости, чтобы они лучше соответствовали потребностям аудитории

Опубликованный пост при этом не выглядит как один и тот же пост: посетители BuzzFeed.com видят разные его версии – различной длины, с разными заголовками и по-разному оформленные – до тех пор, пока через пару часов редакторы не выберут наиболее выигрышный вариант.

Shan WangSeptember 15, 2017

Como o BuzzFeed otimiza as notícias para seu público

Uma postagem publicada, é claro, nunca é apenas uma publicação: várias versões da mesma –com manchetes diferentes, mas também tamanhos diferentes e artes em miniatura diferentes– são mostradas aos visitantes do BuzzFeed.com até a combinação vencedora emergir após algumas horas.

Shan WangSeptember 15, 2017

A/B Testing: una de las claves de BuzzFeed para optimizar su contenido

Un post publicado, por supuesto, nunca es solo un post: varias versiones del mismo –con titulares diferentes, pero también de diferentes longitudes y utilizando diferentes imágenes en miniatura– se muestran a los visitantes de BuzzFeed.com, hasta que la combinación ganadora emerge después de un par de horas.

Ken DoctorOctober 17, 2013

The newsonomics of “Little Data,” data scientists, and conversion specialists

The world’s top newspaper companies are realizing they need to invest heavily in data analysis to maximize their business opportunities.