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@article{0001KARIMIZIARANI2023103865,
title = {Social response and Disaster management: Insights from twitter data Assimilation on Hurricane Ian},
journal = {International Journal of Disaster Risk Reduction},
volume = {95},
pages = {103865},
year = {2023},
issn = {2212-4209},
doi = {doi.org/10.1016/j.ijdrr.2023.103865},
url = {www.sciencedirect.com/science/article/pii/S221242092300345X},
author = {Mohammadsepehr Karimiziarani and Hamid Moradkhani},
keywords = {Social media analytics, Disaster response, Disaster management, Twitter, Natural language processing, Sentiment analysis}
}


@article{0002ZOU2023103513,
title = {Social media for emergency rescue: An analysis of rescue requests on Twitter during Hurricane Harvey},
journal = {International Journal of Disaster Risk Reduction},
volume = {85},
pages = {103513},
year = {2023},
issn = {2212-4209},
doi = {doi.org/10.1016/j.ijdrr.2022.103513},
url = {www.sciencedirect.com/science/article/pii/S2212420922007324},
author = {Lei Zou and Danqing Liao and Nina S.N. Lam and Michelle A. Meyer and Nasir G. Gharaibeh and Heng Cai and Bing Zhou and Dongying Li},
keywords = {Social media, Emergency rescue, Twitter, Hurricane Harvey, Vulnerability}
}


@article{0003JABALAMELI2022103204,
title = {Spatial and sentiment analysis of public opinion toward COVID-19 pandemic using twitter data: At the early stage of vaccination},
journal = {International Journal of Disaster Risk Reduction},
volume = {80},
pages = {103204},
year = {2022},
issn = {2212-4209},
doi = {doi.org/10.1016/j.ijdrr.2022.103204},
url = {www.sciencedirect.com/science/article/pii/S221242092200423X},
author = {Shaghayegh Jabalameli and Yanqing Xu and Sujata Shetty},
keywords = {Coronavirus, Social media, Public opinion, Spatial analysis, Topic modeling, Sentiment analysis}
}


@article{0004NAVARRO2023103694,
title = {Press media impact of the Cumbre Vieja volcano activity in the island of La Palma (Canary Islands): A machine learning and sentiment analysis of the news published during the volcanic eruption of 2021},
journal = {International Journal of Disaster Risk Reduction},
volume = {91},
pages = {103694},
year = {2023},
issn = {2212-4209},
doi = {doi.org/10.1016/j.ijdrr.2023.103694},
url = {www.sciencedirect.com/science/article/pii/S2212420923001747},
author = {J. Navarro and J. Urias Piña and F. Magdaleno Mas and R. Lahoz-Beltra},
keywords = {Sentiment analysis, Machine learning, Volcanic eruption management, Disaster journalism analysis}
}


@article{0005DEVARAJ2020101757,
title = {Machine-learning methods for identifying social media-based requests for urgent help during hurricanes},
journal = {International Journal of Disaster Risk Reduction},
volume = {51},
pages = {101757},
year = {2020},
issn = {2212-4209},
doi = {doi.org/10.1016/j.ijdrr.2020.101757},
url = {www.sciencedirect.com/science/article/pii/S2212420920312590},
author = {Ashwin Devaraj and Dhiraj Murthy and Aman Dontula},
keywords = {Text classification, Deep learning, Social media analysis, Disaster response}
}


@article{0006ZHAI2020101611,
title = {Examine the effects of neighborhood equity on disaster situational awareness: Harness machine learning and geotagged Twitter data},
journal = {International Journal of Disaster Risk Reduction},
volume = {48},
pages = {101611},
year = {2020},
issn = {2212-4209},
doi = {doi.org/10.1016/j.ijdrr.2020.101611},
url = {www.sciencedirect.com/science/article/pii/S2212420919317777},
author = {Wei Zhai and Zhong-Ren Peng and Faxi Yuan},
keywords = {Neighborhood equity, Situational awareness, Machine learning, Twitter}
}


@article{0007HUANG2022103208,
title = {An integrated urgency evaluation approach of relief demands for disasters based on social media data},
journal = {International Journal of Disaster Risk Reduction},
volume = {80},
pages = {103208},
year = {2022},
issn = {2212-4209},
doi = {doi.org/10.1016/j.ijdrr.2022.103208},
url = {www.sciencedirect.com/science/article/pii/S2212420922004277},
author = {Lida Huang and Panpan Shi and Haichao Zhu},
keywords = {Relief demand, Index system, Grey TOPSIS, Social media data}
}


@article{0008ZHU2023103469,
title = {The public needs more: The informational and emotional support of public communication amidst the Covid-19 in China},
journal = {International Journal of Disaster Risk Reduction},
volume = {84},
pages = {103469},
year = {2023},
issn = {2212-4209},
doi = {doi.org/10.1016/j.ijdrr.2022.103469},
url = {www.sciencedirect.com/science/article/pii/S2212420922006884},
author = {Ruilin Zhu and Xuan Hu},
keywords = {COVID-19, Emotional support, Government-owned social media, Social support theory, Public communication}
}


@article{0009ROSSI2018145,
title = {Early detection and information extraction for weather-induced floods using social media streams},
journal = {International Journal of Disaster Risk Reduction},
volume = {30},
pages = {145-157},
year = {2018},
note = {Communicating High Impact Weather: Improving warnings and decision making processes},
issn = {2212-4209},
doi = {doi.org/10.1016/j.ijdrr.2018.03.002},
url = {www.sciencedirect.com/science/article/pii/S2212420918302735},
author = {C. Rossi and F.S. Acerbo and K. Ylinen and I. Juga and P. Nurmi and A. Bosca and F. Tarasconi and M. Cristoforetti and A. Alikadic},
keywords = {Extreme weather, Flood, Social media, Text mining, Anomaly detection, Classification}
}


@article{0010MOHANTY2021102032,
title = {A multi-modal approach towards mining social media data during natural disasters - A case study of Hurricane Irma},
journal = {International Journal of Disaster Risk Reduction},
volume = {54},
pages = {102032},
year = {2021},
issn = {2212-4209},
doi = {doi.org/10.1016/j.ijdrr.2020.102032},
url = {www.sciencedirect.com/science/article/pii/S221242092031534X},
author = {Somya D. Mohanty and Brown Biggers and Saed Sayedahmed and Nastaran Pourebrahim and Evan B. Goldstein and Rick Bunch and Guangqing Chi and Fereidoon Sadri and Tom P. McCoy and Arthur Cosby},
keywords = {Data mining, Social media, Natural disaster, Machine learning}
}


@article{new_age_socialmedia_asce,
author = {Daniel Eckhardt  and Adriana Leiras  and Antônio Márcio Tavares Thomé },
title = {Using Social Media for Economic Disaster Evaluation: A Systematic Literature Review and Real Case Application},
journal = {Natural Hazards Review},
volume = {23},
number = {1},
pages = {05021020},
year = {2022},
doi = {10.1061/(ASCE)NH.1527-6996.0000539},

URL = {https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29NH.1527-6996.0000539},
eprint = {https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29NH.1527-6996.0000539}
,
 }

@article{asce_hurricane_michael,
author = {Sunil Dhakal  and Lu Zhang  and Xuan Lv },
title = {Understanding Infrastructure Resilience, Social Equity, and Their Interrelationships: Exploratory Study Using Social Media Data in Hurricane Michael},
journal = {Natural Hazards Review},
volume = {22},
number = {4},
pages = {04021045},
year = {2021},
doi = {10.1061/(ASCE)NH.1527-6996.0000512},

URL = {https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29NH.1527-6996.0000512},
eprint = {https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29NH.1527-6996.0000512}
,
    }

@article{govt_socialmedia_china,
author = {Haibo Zhang  and Wu Chen },
title = {Social Media Support Mechanisms for Organizational Adaptation in Governmental Response to Extreme Natural Hazards},
journal = {Natural Hazards Review},
volume = {23},
number = {2},
pages = {05022002},
year = {2022},
doi = {10.1061/(ASCE)NH.1527-6996.0000555},

URL = {https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29NH.1527-6996.0000555},
eprint = {https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29NH.1527-6996.0000555}
,
    }


@article{Hurricane_matthew_asce,
author = {Faxi Yuan  and Rui Liu },
title = {Mining Social Media Data for Rapid Damage Assessment during Hurricane Matthew: Feasibility Study},
journal = {Journal of Computing in Civil Engineering},
volume = {34},
number = {3},
pages = {05020001},
year = {2020},
doi = {10.1061/(ASCE)CP.1943-5487.0000877},

URL = {https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CP.1943-5487.0000877},
eprint = {https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000877}
,
    }

