Communicative Blame in Online Communication of the COVID-19 Pandemic: Computational Approach of Stigmatizing Cues and Negative Sentiment Gauged With Automated Analytic Techniques
BackgroundInformation about a new coronavirus emerged in 2019 and rapidly spread around the world, gaining significant public attention and attracting negative bias. The use of stigmatizing language for the purpose of blaming sparked a debate. ObjectiveThis study aims to identify social stigma and n...
Saved in:
Main Authors: | Chang, Angela (Author), Schulz, Peter Johannes (Author), Tu, ShengTsung (Author), Liu, Matthew Tingchi (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2020-11-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Obesity-Related Communication in Digital Chinese News From Mainland China, Hong Kong, and Taiwan: Automated Content Analysis
by: Angela Chang, et al.
Published: (2021) -
A sentiment and content analysis of tweets on monkeypox stigma among the LGBTQ+ community: A cue to risk communication plan
by: Viola Savy Dsouza, et al.
Published: (2023) -
Marginalization in the Medical Encounter: Ostomy Patients Experience of Perceived Stigmatizing Sentiments from Medical Clinicians
by: Leslie Riggle Miller PhD, et al.
Published: (2022) -
Short Communication: The Role of Different Body-Related Visual Cues in Synchronized Trampolining
by: Natalie Czogalla, et al.
Published: (2016) -
Gauging public sentiments toward foot-and-mouth disease outbreak control: A scoping review 2003-2022
by: Cheryl Travers, et al.
Published: (2024)