172
X. Jin
tools in social-mediated disaster and risk communication. Particularly, this chapter
posits that topic modeling can help identify chaotic systems that are hard to be
examined because of the limited sample and reach of traditional methods exploring
the linear relationship and group differences (Murphy 1996). From a practical standpoint, this chapter suggests the necessity of utilizing social media in future emergency
management during disasters. Effective social media usages will assist emergency
management institutions to monitor disaster and risk information dissemination on
social media, understand the public’s concerns, provide accurate information, build
interactive communication with affected communities, and offer immediate relief
responses.
References
Alexander DE (2014) Social media in disaster risk reduction and crisis management. Sci Eng Ethics
20:717–733. https://doi.org/10.1007/s11948-013-9502-z
Alvarez L (2017, October 24) Some Puerto Rico schools reopen, making do without power. The
New York Times. https://www.nytimes.com/2017/10/24/us/puerto-rico-schools.html?hp&act
ion=click&pgtype=Homepage&clickSource=story-heading&module=second-column-region&
region=top-news&WT.nav=top-news
American Broadcasting Company News (2017, November 20) Puerto Rico governor says Bill
Clinton’s visit will help people realize the island still needs relief supplies more than 2 months
after Hurricane Maria. American Broadcasting Company News. https://twitter.com/i/web/status/
932867667349921792
Asghari M, Sierra-Sosa D, Elmaghraby A (2018) Trends on health in social media: analysis using
twitter topic modeling. IEEE International Symposium on Signal Processing and Information
Technology (ISSPIT) 2018:558–563. https://doi.org/10.1109/ISSPIT.2018.8642679
Bird D, Ling M, Haynes K (2012) Flooding facebook: the use of social media during the Queensland
and Victorian floods. Australian J Emerg Manag 27(1):27–33. https://researchers.mq.edu.au/en/
publications/flooding-facebook-the-use-of-social-media-during-the-queensland-a
Blanchard H, Carvin A, Whittaker ME, Fitzgerald M, Harman W, Humphrey B (2010) The case
for integrating crisis response with social media. White Paper, American Red Cross
Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3:993–1022.
https://doi.org/10.1162/jmlr.2003.3.4-5.993
Cameron MA, Power R, Robinson B, Yin J (2012) Emergency situation awareness from Twitter
for crisis management. In: Proceedings of the 21st international conference companion on World
Wide Web. https://doi.org/10.1145/2187980.2188183
Dickerson C (2017, November 13) After hurricane, signs of a mental health crisis haunt Puerto Rico.
New York Times. https://www.nytimes.com/2017/11/13/us/puerto-rico-hurricane-maria-mentalhealth.html?partner=IFTTT
Federal Emergency Management Agency (2014) Emergency response plan. https://www.fema.gov/
media-library/assets/documents/89518
Griffiths TL, Steyvers M (2004) Finding scientific topics. Proce Nat Acad Sci 101:5228–5235.
https://doi.org/10.1073/pnas.0307752101
Hofmann T (2001) Unsupervised learning by probabilistic latent semantic analysis. Mach Learn J
42(1):177–196. https://doi.org/10.1023/a:1007617005950
Hong L, Davison BD (2010) Empirical study of topic modeling in Twitter. In: Proceedings of the
first workshop on social media analytics—SOMA’10. https://doi.org/10.1145/1964858.1964870
X. Jin
tools in social-mediated disaster and risk communication. Particularly, this chapter
posits that topic modeling can help identify chaotic systems that are hard to be
examined because of the limited sample and reach of traditional methods exploring
the linear relationship and group differences (Murphy 1996). From a practical standpoint, this chapter suggests the necessity of utilizing social media in future emergency
management during disasters. Effective social media usages will assist emergency
management institutions to monitor disaster and risk information dissemination on
social media, understand the public’s concerns, provide accurate information, build
interactive communication with affected communities, and offer immediate relief
responses.
References
Alexander DE (2014) Social media in disaster risk reduction and crisis management. Sci Eng Ethics
20:717–733. https://doi.org/10.1007/s11948-013-9502-z
Alvarez L (2017, October 24) Some Puerto Rico schools reopen, making do without power. The
New York Times. https://www.nytimes.com/2017/10/24/us/puerto-rico-schools.html?hp&act
ion=click&pgtype=Homepage&clickSource=story-heading&module=second-column-region&
region=top-news&WT.nav=top-news
American Broadcasting Company News (2017, November 20) Puerto Rico governor says Bill
Clinton’s visit will help people realize the island still needs relief supplies more than 2 months
after Hurricane Maria. American Broadcasting Company News. https://twitter.com/i/web/status/
932867667349921792
Asghari M, Sierra-Sosa D, Elmaghraby A (2018) Trends on health in social media: analysis using
twitter topic modeling. IEEE International Symposium on Signal Processing and Information
Technology (ISSPIT) 2018:558–563. https://doi.org/10.1109/ISSPIT.2018.8642679
Bird D, Ling M, Haynes K (2012) Flooding facebook: the use of social media during the Queensland
and Victorian floods. Australian J Emerg Manag 27(1):27–33. https://researchers.mq.edu.au/en/
publications/flooding-facebook-the-use-of-social-media-during-the-queensland-a
Blanchard H, Carvin A, Whittaker ME, Fitzgerald M, Harman W, Humphrey B (2010) The case
for integrating crisis response with social media. White Paper, American Red Cross
Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3:993–1022.
https://doi.org/10.1162/jmlr.2003.3.4-5.993
Cameron MA, Power R, Robinson B, Yin J (2012) Emergency situation awareness from Twitter
for crisis management. In: Proceedings of the 21st international conference companion on World
Wide Web. https://doi.org/10.1145/2187980.2188183
Dickerson C (2017, November 13) After hurricane, signs of a mental health crisis haunt Puerto Rico.
New York Times. https://www.nytimes.com/2017/11/13/us/puerto-rico-hurricane-maria-mentalhealth.html?partner=IFTTT
Federal Emergency Management Agency (2014) Emergency response plan. https://www.fema.gov/
media-library/assets/documents/89518
Griffiths TL, Steyvers M (2004) Finding scientific topics. Proce Nat Acad Sci 101:5228–5235.
https://doi.org/10.1073/pnas.0307752101
Hofmann T (2001) Unsupervised learning by probabilistic latent semantic analysis. Mach Learn J
42(1):177–196. https://doi.org/10.1023/a:1007617005950
Hong L, Davison BD (2010) Empirical study of topic modeling in Twitter. In: Proceedings of the
first workshop on social media analytics—SOMA’10. https://doi.org/10.1145/1964858.1964870