Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges
The idea of 'citizen as sensors' has gradually become a reality over the past decade. Today,
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …
Application of social sensors in natural disasters emergency management: a review
Natural disasters are public emergencies characterized by suddenness, universality, and
nonconventionality. Realizing the early warning, monitoring, and intervention of natural …
nonconventionality. Realizing the early warning, monitoring, and intervention of natural …
Constructing holistic spatio-temporal scene graph for video semantic role labeling
As one of the core video semantic understanding tasks, Video Semantic Role Labeling
(VidSRL) aims to detect the salient events from given videos, by recognizing the predict …
(VidSRL) aims to detect the salient events from given videos, by recognizing the predict …
Moral emotions shape the virality of COVID-19 misinformation on social media
K Solovev, N Pröllochs - Proceedings of the ACM web conference 2022, 2022 - dl.acm.org
While false rumors pose a threat to the successful overcoming of the COVID-19 pandemic,
an understanding of how rumors diffuse in online social networks is–even for non-crisis …
an understanding of how rumors diffuse in online social networks is–even for non-crisis …
Hierarchical and incremental structural entropy minimization for unsupervised social event detection
As a trending approach for social event detection, graph neural network (GNN)-based
methods enable a fusion of natural language semantics and the complex social network …
methods enable a fusion of natural language semantics and the complex social network …
Semiautomated social media analytics for sensing societal impacts due to community disruptions during disasters
Understanding the societal impacts caused by community disruptions (eg, power outages
and road closures), particularly during the response stage, with timeliness and sufficient …
and road closures), particularly during the response stage, with timeliness and sufficient …
Crossroads, buildings and neighborhoods: A dataset for fine-grained location recognition
Abstract General domain Named Entity Recognition (NER) datasets like CoNLL-2003 mostly
annotate coarse-grained location entities such as a country or a city. But many applications …
annotate coarse-grained location entities such as a country or a city. But many applications …
A multi-channel hierarchical graph attention network for open event extraction
Event extraction is an essential task in natural language processing. Although extensively
studied, existing work shares issues in three aspects, including (1) the limitations of using …
studied, existing work shares issues in three aspects, including (1) the limitations of using …
Unpacking the role of volunteered geographic information in disaster management: focus on data quality
M Tavra, A Lisec, M Galešić Divić… - … , Natural Hazards and …, 2024 - Taylor & Francis
The increasing occurrence of disasters worldwide has motivated researchers to
continuously evaluate potential technological advances to support disaster management …
continuously evaluate potential technological advances to support disaster management …
Examining the consistency between geo-coordinates and content-mentioned locations in tweets for disaster situational awareness: A Hurricane Harvey study
Social media are a rich source of situational information useful conveyed with more
immediacy conventional by mass media. The content of social media posts and the …
immediacy conventional by mass media. The content of social media posts and the …