Year: 2018
Type: dissertation
Abstract: This thesis summarizes the design, implementation, and evaluation of two end-user web tools for automated content analysis of online news data.The first tool is a visualization that displays neural word embeddings data, allowing a user to explore words used in similar contexts within a text corpus.The second tool is an interface that guides users through a supervised machine learning pipeline, enabling novices to train their own binary classification models to detect the presence of a specific frame within the text of a news story.The visualization and interface were evaluated in a user study and think-aloud test respectively.These tools were developed for integration into Media Cloud, an open-source platform for media analysis, which is part of a larger effort to facilitate and advance media ecosystems research.
Author: R Bell
Language: English
Subfield: General Social Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2908549526