scholarly journals Social media information sharing for natural disaster response

2021 ◽  
Author(s):  
Zhijie Sasha Dong ◽  
Lingyu Meng ◽  
Lauren Christenson ◽  
Lawrence Fulton
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Natural Disaster ◽  
Disaster Response

scholarly journals (A333) The Potential use of Social Media in Animal Emergency Response

2011 ◽  
Vol 26 (S1) ◽  
pp. s93-s94
Author(s):  
H. Case
Keyword(s):  
United States ◽  
Social Media ◽  
Social Networking ◽  
Information Sharing ◽  
Emergency Response ◽  
Emergency Preparedness ◽  
Disaster Response ◽  
Animal Shelter ◽  
Medical Response ◽  
Emergency Preparedness And Response

Social networking has been utilized for information sharing and communication since the beginning of time. Current communication technology allows for rapid information sharing across social networks through the increased utilization of social media—Facebook, Twitter, Flickr etc. Social media tools have been used increasingly in recent emergency response efforts including the response to the 2010 earthquake in Haiti and the BP oil spill in the US Gulf Coast. Veterinarians have been engaged in emergency preparedness and response activities for many years. The American Veterinary Medical Association founded in 1863 and representing approximately 83% of United States veterinarians and the American Veterinary Medical Foundation, established by the AVMA in 1963, have been active in emergency preparedness and response including the development of a world class veterinary disaster response program (VMAT) since 1993. Animals and humans share a special bond in the United States. According to the 2007 AVMA U.S. Pet Ownership and Demographics Sourcebook there are 72 million dogs, 81.7 million cats, 11.2 million birds and 7.3 million horses in U.S. households. Approximately 60 percent of all U.S. households own at least one pet and 64 percent own more than one pet. Following Hurricane Katrina in 2005 thousands of animals received veterinary medical care at the Lamar Dixon Animal Shelter in Baton Rouge, LA. Social networking was utilized by responders to obtain supplies yet current social media capabilities were not utilized to enhance veterinary medical response and care at the largest disaster animal shelter in US history. Several challenges (volunteer management, lack of veterinary supplies, and referral of critical veterinary patients etc.) in veterinary disaster response could be met through utilization of targeted social media messaging. Social media has the potential to enhance the efficiency and quality of disaster veterinary medical response now and into the future.

A guided latent Dirichlet allocation approach to investigate real-time latent topics of Twitter data during Hurricane Laura

2021 ◽  
pp. 016555152110077
Author(s):  
Sulong Zhou ◽  
Pengyu Kan ◽  
Qunying Huang ◽  
Janet Silbernagel
Keyword(s):  
Social Media ◽  
Real Time ◽  
Language Processing ◽  
Disaster Response ◽  
Domain Knowledge ◽  
Latent Dirichlet Allocation ◽  
Situational Awareness ◽  
High Performing ◽  
Latent Topics ◽  
Dirichlet Allocation

Natural disasters cause significant damage, casualties and economical losses. Twitter has been used to support prompt disaster response and management because people tend to communicate and spread information on public social media platforms during disaster events. To retrieve real-time situational awareness (SA) information from tweets, the most effective way to mine text is using natural language processing (NLP). Among the advanced NLP models, the supervised approach can classify tweets into different categories to gain insight and leverage useful SA information from social media data. However, high-performing supervised models require domain knowledge to specify categories and involve costly labelling tasks. This research proposes a guided latent Dirichlet allocation (LDA) workflow to investigate temporal latent topics from tweets during a recent disaster event, the 2020 Hurricane Laura. With integration of prior knowledge, a coherence model, LDA topics visualisation and validation from official reports, our guided approach reveals that most tweets contain several latent topics during the 10-day period of Hurricane Laura. This result indicates that state-of-the-art supervised models have not fully utilised tweet information because they only assign each tweet a single label. In contrast, our model can not only identify emerging topics during different disaster events but also provides multilabel references to the classification schema. In addition, our results can help to quickly identify and extract SA information to responders, stakeholders and the general public so that they can adopt timely responsive strategies and wisely allocate resource during Hurricane events.

scholarly journals Source Trust and COVID-19 Information Sharing: The Mediating Roles of Emotions and Beliefs About Sharing

2020 ◽  
pp. 109019812098476
Author(s):  
Linqi Lu ◽  
Jiawei Liu ◽  
Y. Connie Yuan ◽  
Kelli S. Burns ◽  
Enze Lu ◽  
...  
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Health Information ◽  
News Media ◽  
Health Professionals ◽  
Government Agencies ◽  
Specific Information ◽  
Academic Institutions ◽  
Source Trust ◽  
Health Information Sharing

Health information sharing has become especially important during the COVID-19 (coronavirus disease 2019) pandemic because people need to learn about the disease and then act accordingly. This study examines the perceived trust of different COVID-19 information sources (health professionals, academic institutions, government agencies, news media, social media, family, and friends) and sharing of COVID-19 information in China. Specifically, it investigates how beliefs about sharing and emotions mediate the effects of perceived source trust on source-specific information sharing intentions. Results suggest that health professionals, academic institutions, and government agencies are trusted sources of information and that people share information from these sources because they think doing so will increase disease awareness and promote disease prevention. People may also choose to share COVID-19 information from news media, social media, and family as they cope with anxiety, anger, and fear. Taken together, a better understanding of the distinct psychological mechanisms underlying health information sharing from different sources can help contribute to more effective sharing of information about COVID-19 prevention and to manage negative emotion contagion during the pandemic.

An exploration of the factors influencing social media continuance usage and information sharing intentions among Korean travellers

2017 ◽  
Vol 63 ◽  
pp. 170-178 ◽  
Author(s):  
Kyungsuk Hur ◽  
Taegoo Terry Kim ◽  
Osman M. Karatepe ◽  
Gyehee Lee
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Factors Influencing ◽  
Continuance Usage

The influence of public health information sharing on social media during the early COVID-19 outbreak

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiao-Chieh Chen ◽  
Yu-Ping Chiu
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Health Information ◽  
Content Type ◽  
Related Information ◽  
Activity Effect ◽  
Network Cluster ◽  
Public Health Information ◽  
Health Information Sharing

PurposeSocial media have become famous platform to search and share the COVID-19-related information. The objective of this research is to bridge the gap by proposing the effects of network cluster and transmitter activity on information sharing process.Design/methodology/approachData were collected by using Facebook application, which was available for 14 days (May 1–14) in 2020. These data were analyzed to determine the influence of the network cluster and transmitter activity.FindingsThe results showed that network cluster is positively related to transmitter activity on social media. In addition, transmitter activity partially mediated the effect of network cluster on the extent of information liked and shared. That is, transmitter activity can affect COVID-19-related information sharing on Facebook, and the activity effect is plausible and should become stronger as social network become denser.Originality/valueThis study has contributed to the knowledge of health information sharing in social media and has generated new opportunities for research into the role of network cluster. As social media is firmly entrenched in society, researches that improve the experience or quality for users is potentially impactful.

Leveraging Social Media for Human Factors Research in Health Care

2021 ◽  
Vol 65 (1) ◽  
pp. 82-85
Author(s):  
Rupa S. Valdez ◽  
Annie T. Chen ◽  
Andrew J. Hampton ◽  
Kapil Chalil Madathil ◽  
Elizabeth Lerner Papautsky ◽  
...  
Keyword(s):  
Health Care ◽  
Social Media ◽  
Human Factors ◽  
Disaster Response ◽  
Academic Research ◽  
Gender Based Violence ◽  
Ethical Implications ◽  
Social Media Platforms ◽  
Study Participants ◽  
Human Factors Research

There has been a significant increase in using social media for academic research and there is an opportunity for human factors professionals to incorporate these platforms into their research. Social media platforms provide a rich space to study extant data on health information communication, behaviors, and impacts and to recruit study participants. In this session, panelists will discuss using social media to study health-related topics including health management, gender-based violence, disaster response, self-harm, patient ergonomics, and secondary impacts of the COVID-19 pandemic. They will share how they have collected and analyzed data and recruited study participants from social media platforms such as Twitter, Reddit, and Facebook. They will also speak to the benefits and challenges of as well as ethical implications for using social media for research. There will be space for a moderated discussion to identify ways social media can be leveraged for human factors research in health care.

Sign in / Sign up

Export Citation Format

Share Document