- Title Information
- Title
- Political bias in online news
- Name:
Personal
- Name Part
- Zhang, Dazheng
- Role
- Role Term:
Text (marcrelator)
- author
- Name:
Personal
- Name Part
- Yang, John
- Role
- Role Term:
Text (marcrelator)
- author
- Name:
Personal
- Name Part
- Johnson, Paul
- Role
- Role Term:
Text (marcrelator)
- author
- Name:
Personal
- Name Part
- Shu, Kevin
- Role
- Role Term:
Text (marcrelator)
- author
- Name:
Personal
- Name Part
- Friedmann, John Joe
- Role
- Role Term:
Text (marcrelator)
- author
- Type of Resource
- text
- Genre (aat)
- posters
- Origin Information
- Date Created
(keyDate="yes", encoding="w3cdtf")
- 2016
- Language
- Language Term:
Code (ISO639-2B)
- eng
- Note:
source
(displayLabel="Course")
- CS1951a Introduction to Data Science
- Abstract
- The purpose of this project was to determine the bias of news sources. It was predicted that some sites would have preferences towards or against certain candidates and that sentiment would be correlated with poll results.
- Subject (LCSH)
- Topic
- Mass media
- Topic
- Objectivity
- Subject (LCSH)
- Topic
- News Web sites
- Identifier:
DOI
- https://doi.org/10.7301/Z01C1TT7
- Access Condition:
use and reproduction
(href="http://creativecommons.org/licenses/by-nc/4.0/")
- This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
- Access Condition:
logo
(href="https://licensebuttons.net/l/by-nc/4.0/88x31.png")