Date of Award
2020
Document Type
Thesis
Degree Name
Bachelors
Department
Natural Sciences
First Advisor
Roy, Tania
Area of Concentration
Computer Science
Abstract
This thesis goes through the development of a software application aimed at delivering news content to readers devoid of misinformation, clickbait, and filter bubbles. Rather than relying on an algorithmically curated timeline, like Facebook and Google, to deliver content to consumers, this application instead relies on human-curation. Two user studies were conducted to examine the effectiveness of the app’s user interface in providing a great user experience to consumers. The results show that human curation creates a high-quality browsing experience and should be used more often in information networks when delivering news content to consumers.
Recommended Citation
Bhardwaj, Parankush, "INFORMATION NETWORKS: IMPROVING INFORMATION CONSUMPTION THROUGH HUMAN CURATION" (2020). Theses & ETDs. 5850.
https://digitalcommons.ncf.edu/theses_etds/5850