Jesse Anderton is a PhD candidate studying information retrieval in Northeastern University’s Khoury College of Computer Sciences, advised by Professor Javed Aslam. His work examines the information bubble – how people focus on online content that supports their opinions – and takes an interdisciplinary approach to model and predict how people might differ in opinion on one topic given the other views they hold. Jesse earned his Master of Science degree in Computer Science at Northeastern University, and his Bachelor of Science degree in Computer Science at the University of New Mexico.
I am studying for a PhD in Information Retrieval.
I’m interested in research which helps to burst the so-called “information bubble” – our tendency to only pay attention to online content that we already agree with. I’m studying ways to measure peoples’ opinions and generate summaries that explain people of various backgrounds to each other.
Many questions have more than one “right” answer, depending on your perspective. I’m finding effective ways to model that and to predict the particular opinions people will differ on, based on their past opinions.
The work I’m doing covers a lot of ground. At any given time I might be studying statistics, geometry, human psychology, user interface design… I need to bring many different tools to the table. There’s always something new to learn.
I’m aiming for a life in academia. I’d like to become a professor when I graduate, and continue my research.
Jesse Anderton is a PhD candidate studying information retrieval in Northeastern University’s Khoury College of Computer Sciences, advised by Professor Javed Aslam. His work examines the information bubble – how people focus on online content that supports their opinions – and takes an interdisciplinary approach to model and predict how people might differ in opinion on one topic given the other views they hold. Jesse earned his Master of Science degree in Computer Science at Northeastern University, and his Bachelor of Science degree in Computer Science at the University of New Mexico.
I am studying for a PhD in Information Retrieval.
I’m interested in research which helps to burst the so-called “information bubble” – our tendency to only pay attention to online content that we already agree with. I’m studying ways to measure peoples’ opinions and generate summaries that explain people of various backgrounds to each other.
Many questions have more than one “right” answer, depending on your perspective. I’m finding effective ways to model that and to predict the particular opinions people will differ on, based on their past opinions.
The work I’m doing covers a lot of ground. At any given time I might be studying statistics, geometry, human psychology, user interface design… I need to bring many different tools to the table. There’s always something new to learn.
I’m aiming for a life in academia. I’d like to become a professor when I graduate, and continue my research.
