Greater Empathy in Adolescents Helps Prevent Bias-based Cyberbullying

Little is known about cyberbullying and empathy, especially as it relates harming or abusing others because of race or religion. A study is the first to examine general cyberbullying, race-based cyberbullying, and religion-based cyberbullying in young adolescents. Results show that the higher a youth scored on empathy, the lower the likelihood that they cyberbullied others. When it came to bias-based cyberbullying, higher levels of total empathy were associated with lower odds of cyberbullying others based on their race or religion.

JMIR Aging | Using Twitter to Examine Stigma Against People With Dementia During COVID-19

JMIR Publications recently published “Using Twitter to Examine Stigma Against People With Dementia During COVID-19: Infodemiology Study” in JMIR Aging which reported that during the pandemic, there has been significant social media attention focused on the increased COVID-19 risks and impacts for people with dementia and their care partners.

Flawed AI Makes Robots Racist, Sexist

The work, led by Johns Hopkins University, the Georgia Institute of Technology, and University of Washington researchers, is believed to be the first to show that robots loaded with an accepted and widely used model operate with significant gender and racial biases. The work is set to be presented and published this week at the 2022 Conference on Fairness, Accountability, and Transparency.

Study Shows Contact with Police May Be Detrimental to Health, Well-Being of Black Youth

According to a Johns Hopkins Medicine study published today in JAMA Pediatrics, exposure to police — even in instances in which the officers are providing assistance — may be detrimental to the health and well-being of Black youth, especially males, and can be associated with poor mental health, substance use, risky sexual behaviors and impaired safety.

Skip generational distinctions like ‘millenials’ in workplace

It’s time to nix the generational mindset in business, says a Washington University in St. Louis linguistic expert who participated in an elite, 15-member committee announcing July 21 its findings on what he calls “potentially harmful” categorizing. He was part of The National Academies of Sciences, Engineering and Medicine committee convened for this study.

Astronomy fellowship demonstrates effective measures to dismantle bias, increase diversity in STEM

Joyce Yen of the University of Washington worked with the Heising-Simons Foundation to dismantle bias and promote diversity in a prominent grant that the Foundation awards to postdoctoral researchers. Here, Yen shares the ways bias can work against greater diversity, equity and inclusion in STEM.