(WTWO/WAWV) — A not so new exhibit at the Terre Haute Children’s Museum has been fully restored thanks to Rose-Hulman student interns and project managers. “Run with the Animals” is an interactive exhibit to challenge children wanting to see if they can out-run a variety of animals. It also has a new feature where children are presented with a map of the world`s continents and includes information about where the animals live, eat and play. Senior Director of Rose-Hulman Ventures Brian Dougherty said that exhibits like this help children learn science in a unique way. “Watching the kids run on the exhibit actually make sit all worth while. Kids need the opportunity to explore science in a fun way,” Dougherty said. “For some reason we tend to think of science as hard and icky, well that’s not the case. It’s actually a lot of fun.” This exhibit is on the third floor of the museum.https://www.mywabashvalley.com/news/local-news/reopening-of-terre-haute-children-museums-exhibit-run-with-the-animals/
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While Facebook doesn’t permit direct demographic queries for a Lookalike or Special Ad audience, I was able to leverage the daily reach estimates of Facebook’s ad planning tool to indirectly observe the racial and ethnic breakdown of a given Lookalike or Special Ad audience amongst North Carolina voters. For example, a Lookalike audience based on 10,000 African American voters in 2021 had an overlap in estimated daily reach of 139,000 users with a sample of 1 million African American voters but only an overlap of 17,000 users with a sample of 1 million white voters. This indicates that African Americans were likely over-represented in the Lookalike audience, since when intersecting the Lookalike audience with a combined 2 million voter sample that was 50% African American and 50% white at baseline, I found that 89% of the Lookalike audience’s overlap was with African American voters and only 11% with white voters. I replicated a similar process for testing the demographics of Lookalike and Special Ad Audiences based on white, Asian, and Hispanic voters. More details on the methodology can be found here . Figure 2: Overlap of a Facebook Lookalike Audience based on African-Americans with race-based North Carolina voter samples A Lookalike Audience of 2.3 million click here to investigate Facebook users in the U.S. based on a customer list of African Americans had 139,000 users in common with the 1 million African American voter sample and only 17,000 users in common with the 1 million white voter sample. A major concern about algorithmic discrimination is whether computers are reinforcing the existing patterns of discrimination that humans have made in the United States. Social science researchers have found in employment , housing , lending , and other aspects of life, racial proxies such as one’s name and neighborhood can increase the degree to which human decision-makers discriminate.https://www.brookings.edu/research/solving-the-problem-of-racially-discriminatory-advertising-on-facebook/