Rapid Perception of Public Opinion in Emergency Events through Social Media
Bibliographic Data
| ID | 21738467 |
|---|---|
| Authors | Yudi Chen (0000-0001-5737-9160, George Mason University), Yun Li (0000-0001-8225-4554, George Mason University), Zifu Wang (0000-0002-7183-5166, GeoInformation (United Kingdom)), Alma Joanna Quintero (0000-0001-6781-2028, San Diego State University), Chaowei Yang (0000-0001-7768-4066, GeoInformation (United Kingdom)), Wenying Ji (0000-0002-1222-2191, George Mason University, corresponding author) |
| Year | 2022 |
| Volume | 23 |
| Issue | 2 |
| Publication date | 2022-05-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Natural Hazards Review (JOURNAL) |
| Journal identifiers | ISSN: 1527-6988 • E-ISSN: 1527-6996 |
| Publisher | American Society of Civil Engineers (ASCE) (PUBLISHER • US) |
| DOI | 10.1061/(asce)nh.1527-6996.0000547 |
| OpenAlex | W4200443187 |
| Language | EN |
| Citations received | 5 |
| References cited | 46 |
Due to its near-real-time crowdsourcing nature, social media demonstrates a great potential of rapidly reflecting public opinion during emergency events. However, systematic approaches are still desired to perceive public opinion in a rapid and reliable manner through social media. This research proposes two quantitative metrics—the fraction of event-related tweets (FET) and the net positive sentiment (NPS)—to examine the intensity and direction dimensions of public opinion. While FET is modeled through normalizing population size differences, NPS is modeled through a Bayesian-based method to incorporate uncertainty from social media information. To illustrate the feasibility and applicability of the proposed FET and NPS, we studied public opinion on society reopening amid COVID-19 for the entire United States and four individual states (i.e., California, New York, Texas, and Florida). The reflected trends of public opinion have been supported by the reopening policy timeline, the number of COVID-19 cases, and the economy characteristics. This research is expected to assist policy makers in obtaining a prompt understanding of public opinion from the intensity and direction dimensions, thereby facilitating timely and responsive policy making in emergency events
Business · Data science · Perception · Political science · Politics · Population · Public opinion · Public relations · Social media · Sociology · Statistics · Timeline · Complex Network Analysis Techniques · Computer Science · Law · Mathematics · Misinformation and Its Impacts · Psychology · Public Relations and Crisis Communication
Dissemination characteristics and influencing factors of topic circles in multi-layer public opinion dissemination
Modelling and Analyzing the Semantic Evolution of Social Media User Behaviors during Disaster Events
Large language model-assisted public opinion analysis of emergency events of major transportation infrastructure through social media
The platformization of socially constructed gender realities
How local outbreak of Covid-19 affect the risk of internet public opinion
A Measurement Framework for Assessing the Contribution of Social Media to Public Engagement
Rapid assessment of disaster damage using social media activity
Vader
Social media analytics for natural disaster management
Rapid Damage Assessment Following Natural Disasters through Information Integration
Spatial biases in crowdsourced data
The Spiral of Silence a Theory of Public Opinion
Introduction to Emergency Management
Design, Evaluation, and Analysis of Questionnaires for Survey Research
Using Social Media to Mine and Analyze Public Opinion Related to Covid-19 in China
Using Twitter to Analyze the Effect of Hurricanes on Human Mobility Patterns
Stability or change of public opinion and values during the coronavirus crisis? Exploring Dutch longitudinal panel data
Social Media Analysis and Public Opinion
Public Meetings and the Democratic Process
Social media as public opinion
Public Opinion and Public Opinion Polling
Media, Public Opinion, and Foreign Policy in the Age of Social Media
Lumpers and Splitters
The polls--Trends
Thinking Fast and Furious
The Focussed Interview and Focus Groups
Public Opinion, Public Policy, and Organized Interests in the American States
Measuring Public Opinion with Surveys
Does Public Support Help Democracy Survive
Effects of Public Opinion on Policy
Focus Groups
| Unique citing works | 5 |
|---|---|
| Citations per year | 1,25 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |