A recent study that analyzed the faces within 3,389 issues of Time magazine published between the years of 1923 and 2014 found that the majority of faces represented belonged to white men. As one of America’s most notable news magazines since 1923, Time magazine demonstrates how popular attitudes within America have evolved over time. The study used three datasets. The first dataset used a machine to determine the gender of the face based on samples from the magazine. The second dataset utilized human labor to classify the faces based upon several factors like race, gender, or age. The final dataset included the raw data used to create the second dataset. The researchers used the data from the study to determine how the representation of women within the magazine has evolved over time, allowing them to conclude that the magazine represented more women over time, but that it used fewer women for advertising purposes.

https://culturalanalytics.org/article/12265-faces-extracted-from-time-magazine-1923-2014

https://magazineproject.org/TIME/

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/JMFQT7

The Torn Apart/Separados mapping project is a collection of visualizations in response to President Trump’s immigration laws and enforcement of immigrant child separation back in 2018. It maps out ICE money trails and locations of detainment facilities that were used for incarcerating those without papers under the Zero Tolerance Policy. This project helps viewers comprehend the magnitude of the crisis by presenting information in a way that puts the faces and names of government representatives and general locations right at the fingertips of the reader. By mapping out this information, the viewer can physically see for themselves patterns and trails and therefore the tragic story of what was happening behind the scenes of the crisis. This project works to reveal the “shadowy network of government facilities” and the fact that the crisis did not happen at just the Mexico-United States border, but instead throughout the entire country. Both volumes of the map are interactive, and viewers are able to manually move through the different layers. In volume one, there are six layers: Clinks (mapping of detainment centers), The Trap (mapping of border crossing), The Eye (satellite images), Charts (numbers of detained persons), ORR (mapping of redacted sites), and Banned (mapping of closed borders). In volume two, there are five layers: Districts (mapping of ICE money in congressional districts), Rain (shows growth of ICE values), Gain (charts of ICE participants), Freezer (charts of ICE funding), and Lines (mapping of deportations). All of this information turns this situation from a news headline into a real story about human lives.

See the full project here.
http://xpmethod.plaintext.in/torn-apart/volume/2/index