Social Media Based Demographics Analysis for Understanding Disaster Response Disparity

Faxi Yuan · Min Li · Rui Liu

10 citations0/0 files storedASCE Construction Research Congress (CRC)

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Public Relations and Crisis Communication Disaster Management and Resilience Earthquake and Disaster Impact Studies

Abstract

Social groups are characterized by their demographic characters such as race/ethnicity and gender. Different demographic groups were found to have experienced significantly varying impacts of the same disasters. For instance, ethnic minorities were impacted more severely than the white during Hurricane Katrina. These varying impacts can be reflected in their different crisis responses. However, research on disaster response disparities among different demographic groups remains a critical challenge due to the lack of disaggregated-level data classified by demographic characters. To fill in this gap, this research takes the first step to investigate the demographics of affected citizens during Hurricane Florence. This paper infers social media users’ demographic characters from their users’ names. The results are used for analyzing social media activities in different demographic groups. This study found the white groups performed most active while the black group acted least active in talking about the hurricane event on social media. Moreover, the female affected citizens were found to be less active than the male affected citizens on social media during Hurricane Florence. The comparative results of demographic compositions among the affected and not-affected citizens have presented different distributions. Our findings can help the classification of Twitter data by demographic groups. The classified Twitter data can be further used for exploring the sentiment and concerns of different demographic groups. The understanding of varying sentiment and concerns of different demographic groups can help crisis response managers design and implement on-target response strategies.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 10 citations exist upstream.

References

2013Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach 2007What predicts psychological resilience after disaster? The role of demographics, resources, and life stress.2006Race, class, and Hurricane Katrina: Social differences in human responses to disaster 1999Race, Ethnicity and Disasters in the United States: A Review of the Literature 1994Children Exposed to Disaster: I. Epidemiology of Post-Traumatic Symptoms and Symptom Profiles 2014CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises 2016Spatial, temporal, and content analysis of Twitter for wildfire hazards 2016Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.