Bad News or Mad News? Sentiment Scoring of Negativity, Fear, and Anger in News Content

By Stuart Soroka, Lori Young, Meital Balmas. 2015

122 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/15fc80a5505c76e9c62f5ae170999865834d5e8f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Johnnatan Messias
2. Wouter van Atteveldt
3. M. A. van der Velden
4. Fabrício Benevenuto
5. Haewoon Kwak
6. Mark Boukes

In Social Psychology

1. Wouter van Atteveldt
2. M. A. van der Velden
3. Fabrício Benevenuto
4. Mark Boukes

In Sociology and Political Science

1. Wouter van Atteveldt
2. M. A. van der Velden
3. Mark Boukes

Citations in the corpus

• The Validity of Sentiment Analysis: Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms (2021, background): “Nevertheless, the current proliferation of available dictionaries and other off-the-shelf tools tends to overshadow the low measurement validity (González-Bailón & Paltoglou, 2015; Soroka et al., 2015), and in many cases these tools are not validated before being used on new tasks.”
• Demographics of News Sharing in the U.S. Twittersphere (2017, background): “These three dimensions have been discovered as important factors in news reading/sharing behavior [34, 38].”