New Columbia Business School research reveals how analyzing real-time customer journey data — from search queries to filtering behavior — can predict preferences with remarkable accuracy, even without historical data.
In new research, Professors Dante Donati and Hortense Fong find that the brief TikTok outage in January benefited Meta as advertisers turned to its platforms to reach users. Small businesses, less able to switch, lost out.
Insights shared at Columbia University’s AI Summit show how the technology is redefining the creative process and influencing executive decision making.
Analyzing the language of social media users reveals surprising predictors of fake news sharing, offering new strategies to curb misinformation and foster healthier online communities.
Discover the articles that captivated readers and highlighted Columbia Business School's impactful thought leadership and groundbreaking insights.
New CBS research shows that writing an online review covering both the emotional and rational aspects of a bad experience can help consumers feel better — and make them more likely to give the business another try.
Using natural language processing, Professor Olivier Toubia and his co-researchers have found that the way people write, no matter the topic, can reveal clues about how well they might do in the future—whether in school, work, or other areas.
As the U.S. election nears, the American public is witnessing the power of social media and elections: the partnership between political candidates and content creators, says Professor Mohamed Hussein.
The speed and intensity at which misinformation spreads indicates a growing difficulty in discerning truth, argues Professor Andrea Prat. It’s a challenge that could significantly impact voter decision-making in the upcoming election.
The technology poses significant challenges to electoral integrity and has sparked a race between those attempting to manipulate information and those striving to uphold democratic values, argues Professor Bruce Kogut.