TY - GEN
T1 - Processing Social Media Messages in Mass Emergency
T2 - 27th International World Wide Web, WWW 2018
AU - Imran, Muhammad
AU - Castillo, Carlos
AU - Diaz, Fernando
AU - Vieweg, Sarah
N1 - Publisher Copyright:
© 2018 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC BY 4.0 License.
PY - 2018/4/23
Y1 - 2018/4/23
N2 - Millions of people use social media to share information during disasters and mass emergencies. Information available on social media, particularly in the early hours of an event when few other sources are available, can be extremely valuable for emergency responders and decision makers, helping them gain situational awareness and plan relief efforts. Processing social media content to obtain such information involves solving multiple challenges, including parsing brief and informal messages, handling information overload, and prioritizing different types of information. These challenges can be mapped to information processing operations such as filtering, classifying, ranking, aggregating, extracting, and summarizing. This work highlights these challenges and presents state of the art computational techniques to deal with social media messages, focusing on their application to crisis scenarios.
AB - Millions of people use social media to share information during disasters and mass emergencies. Information available on social media, particularly in the early hours of an event when few other sources are available, can be extremely valuable for emergency responders and decision makers, helping them gain situational awareness and plan relief efforts. Processing social media content to obtain such information involves solving multiple challenges, including parsing brief and informal messages, handling information overload, and prioritizing different types of information. These challenges can be mapped to information processing operations such as filtering, classifying, ranking, aggregating, extracting, and summarizing. This work highlights these challenges and presents state of the art computational techniques to deal with social media messages, focusing on their application to crisis scenarios.
KW - disaster response
KW - emergency management
KW - social media
UR - http://www.scopus.com/inward/record.url?scp=85057234261&partnerID=8YFLogxK
U2 - 10.1145/3184558.3186242
DO - 10.1145/3184558.3186242
M3 - Conference contribution
AN - SCOPUS:85057234261
T3 - The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
SP - 507
EP - 511
BT - The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
PB - Association for Computing Machinery, Inc
Y2 - 23 April 2018 through 27 April 2018
ER -