PhD Proposal by Hayeong Song

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Event Details
  • Date/Time:
    • Tuesday November 29, 2022
      12:00 pm - 2:00 pm
  • Location: Tech Square 334
  • Phone:
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    N/A
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Summaries

Summary Sentence: Using visual analytics to understand diverse social opinions about divisive topics

Full Summary: No summary paragraph submitted.

Title: Using visual analytics to understand diverse social opinions about divisive topics

 

Hayeong Song

Ph.D. student

School of Interactive Computing

Georgia Institute of Technology

 

Date: Tuesday, November 29, 2022

Time: 12:00 pm - 2:00 pm (ET)

Location: (in-person)Tech Square 334, (virtual) Microsoft Teams

Meeting ID: 224 156 144 71

Passcode: JErv2y 

 

Committee:

Dr. John Stasko (advisor), School of Interactive Computing, Georgia Institute of Technology

Dr. Alex Endert, School of Interactive Computing, Georgia Institute of Technology

Dr. Clio Andris, School of City and Regional Planning and the School of Interactive Computing, Georgia Institute of Technology

Dr. Diyi Yang, Computer Science Department, Stanford University

 

Abstract

Social media (i.e., Reddit) users are overloaded with people's opinions when viewing discourses about divisive topics. Traditional user interfaces in such media present people’s opinions in a linear structure (list), which has limitations in assisting users in viewing people’s opinions at scale and viewing a diverse set of opinions. Prior work on discourse architecture studies has recognized this limitation, that the linear structure can reinforce biases and "cyberpolarization", in which a certain point of view becomes widespread simply because many viewers seem to believe it. This limitation can make it difficult for users to have a truly conversational mode of meditated discussion. Thus, when designing a user interface for viewing people's opinions, we should consider ways to mitigate selective exposure to information and polarization of opinions.

 

To address these problems, my research takes a visual analytics approach to assist users in viewing people's diverse sets of perspectives, such as visually representing the distribution of people's stances. In my work, I aim to answer these key research questions: What are the key limitations of current user interfaces (i.e., Reddit) for viewing controversial online discussions? What is an effective design to address these limitations? How do we provide these capabilities in a pragmatic way?

 

Additional Information

In Campus Calendar
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Groups

Graduate Studies

Invited Audience
Faculty/Staff, Public, Undergraduate students
Categories
Other/Miscellaneous
Keywords
Phd proposal
Status
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Nov 22, 2022 - 12:00pm
  • Last Updated: Nov 22, 2022 - 12:00pm