Data and AI
When AI Is the Editor, Consumer Complaints Are More Likely to Succeed
An analysis of complaints submitted to the Consumer Financial Protection Bureau reveals that consumers are using tools like ChatGPT to help them articulate their concerns. Those AI-edited grievances have a higher likelihood of receiving relief, according to new research co-authored by Yale SOM’s Jiwoong Shin.
Create Trust Online by Pairing User Control and Data Security
In a new study, Yale SOM’s K. Sudhir and his co-author examine the impact of the EU’s General Data Protection Regulation (GDPR). They find that strict privacy rights paired with strong data security mandates create an atmosphere of trust that makes data sharing more beneficial for both firms and their customers.
Mapping Our Social Worlds
Prof. Marissa King’s interdisciplinary approach to network science has produced new insights into how people interact and ideas spread. Her new book, Social Chemistry, explains how an understanding of social networks can help solve issues faced every day by individuals, organizations, and societies.
What Separates the Ideas that Endure from Those That Fade?
For a study of the evolution of management concepts, Prof. Balázs Kovács and his co-author tracked keywords in 90 years of Harvard Business Review articles. Their conclusion: concepts get an initial boost from being similar to popular ideas, but need to distinguish themselves to last.
Can We Protect Our Election from the Bots?
More than 50,000 Russia-linked bots were active on Twitter during the 2016 election. Are they back? We talked with Prof. Tauhid Zaman, who has carried out a series of studies identifying bot networks and assessing their impact.
Machine Learning Model Extracts Insights from Customer Reviews
A new study co-authored by Yale SOM’s K. Sudhir uses natural-language analysis to learn from what customers are saying—and to infer meaning from what remains unsaid.
Online and Off, We Are Drawn Toward Those with Similar Writing Styles
Both online and in-person friendships are more likely to develop between people who have similar linguistic styles, according to a new study co-authored by Balázs Kovács at Yale SOM.
Can Big Data Fight a Pandemic?
The COVID-19 crisis has intensified the debate over big data and privacy. Governments are pulling together data from public and private systems in order to predict and counter the spread of COVID-19. But setting aside privacy protections in a time of crisis could lead to new, permanent norms.
Are Electronic Health Records Useful Yet?
The story of EHRs serves as a prelude to what we’re experiencing today in almost every facet of our lives: a utopian promise of ubiquitous data tempered by technical challenges and concerns over privacy.
How Machine Learning Can Find Extremists on Social Media
Yale SOM's Tauhid Zaman investigated how artificial intelligence could assist efforts to detect and suspend extremist accounts, before they are used to recruit members and spread propaganda.
Researchers Propose New Method to Hedge against the Risk of Climate Disaster
Markets could be a huge part of mitigating climate risk. A proposal from Yale finance faculty seeks to make that a reality.
