Extracting information from reddit for emergency management - A case study on British Columbia wildfire

The advent of social media has revolutionized the way information is dissemi- nated and consumed during emergency situations, such as wildfires. This study provides an in-depth analysis of public sentiment and communication patterns on Reddit during wildfire events in British Columbia (BC), Canada. Utilizing a comprehensive methodological framework, the research employs data mining techniques, sentiment analysis, and comparative methods to explore the digi- tal discourse surrounding wildfires. The methodology integrates topic mining, keyword extraction, and sentiment analysis to evaluate the nature and scope of discussions within Reddit communities. Subreddit activity is scrutinized to under- stand regional and national concerns, while sentiment analysis offers insights into the emotional undertones of the discussions. A comparative analysis between Reddit posts and news articles is conducted to assess the interplay between social media narratives and traditional media reporting. The findings reveal a strong regional focus in discussions, reflecting the direct impact of wildfires on local communities. National concern is also evident, with broader societal implications being discussed in both general and niche subreddits. Temporal analysis of sub- reddit activity indicates that engagement is predominantly event-driven, with implications for emergency services, content creators, and community managers.

Authors

Institutions

Publication Details

Journal
International Journal of Disaster Risk Reduction
Published
2025-03-06
DOI
https://doi.org/10.1016/j.ijdrr.2025.105354
Citations
3
Primary Topic
Public Relations and Crisis Communication
Type
article
Field-Weighted Citation Impact
11.59
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extracting information from reddit for emergency management - A case study on British Columbia wildfire

Jon Rokne, Ahmed Al Marouf, Reda Alhajj, Alireza Arvandi et al.
3 citations
International Journal of Disaster Risk Reduction
Public Relations and Crisis Communication
11.59
article

Extracting information from reddit for emergency management - A case study on British Columbia wildfire

Jon Rokne, Ahmed Al Marouf, Reda Alhajj, Alireza Arvandi, Qiaowang Li
article en
3 citations

Abstract

The advent of social media has revolutionized the way information is dissemi- nated and consumed during emergency situations, such as wildfires. This study provides an in-depth analysis of public sentiment and communication patterns on Reddit during wildfire events in British Columbia (BC), Canada. Utilizing a comprehensive methodological framework, the research employs data mining techniques, sentiment analysis, and comparative methods to explore the digi- tal discourse surrounding wildfires. The methodology integrates topic mining, keyword extraction, and sentiment analysis to evaluate the nature and scope of discussions within Reddit communities. Subreddit activity is scrutinized to under- stand regional and national concerns, while sentiment analysis offers insights into the emotional undertones of the discussions. A comparative analysis between Reddit posts and news articles is conducted to assess the interplay between social media narratives and traditional media reporting. The findings reveal a strong regional focus in discussions, reflecting the direct impact of wildfires on local communities. National concern is also evident, with broader societal implications being discussed in both general and niche subreddits. Temporal analysis of sub- reddit activity indicates that engagement is predominantly event-driven, with implications for emergency services, content creators, and community managers.

International Journal of Disaster Risk ReductionVol. 120
University of Calgary (CA), University of Southern Denmark (DK), Maersk (Denmark) (DK), Istanbul Medipol University (TR)
Climate action
Openalex Percentile: Top 2%
Public Relations and Crisis Communication
11.59
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.