An analysis of 6 million articles reveals a recent decline in investigative reporting
Two GSB researchers trained a neural network to identify investigative newspaper articles to determine whether a decade of shrinking newsrooms has led to a decline in the production of such content.
Meet the MSx Class of 2022: Diverse leaders pursuing growth and opportunity
The members of the Stanford MSx Class of 2022 arrived on campus in July from 31 countries to begin the MSx program, a one-year accelerated master’s degree program designed for mid-career leaders seeking personal and professional growth.
In this podcast episode, Pamela Hinds, professor of management science and engineering, talks about the unique challenges of a hybrid work environment and the effect of technology on teams, teamwork, and innovation.
Facing the unsettling power of AI to analyze our photos
Graduate School of Business professor Michal Kosinski fed more than 1 million social media profile photos into a widely used facial recognition algorithm and found that it could correctly predict a person’s self-identified political ideology 72% of the time. (Humans got it right 55% of the time.) Kosinski talks about the controversies surrounding his work and the implications of its findings.
Comparing the human body to a machine to encourage healthy eating can backfire
Imagining the body as a machine that needs fuel can benefit people who already eat nutritious food, but this strategy can also backfire, according to new research by Szu-chi Huang, associate professor of marketing at Stanford Graduate School of Business.
