Software Innovations to Support the Use of Social Media by Emergency Managers

ABSTRACT Although social media (SM) can be very useful for emergency managers (EMs), especially for providing situational awareness in the early stages of a disaster, many do not use it. This study is based on 477 responses to an online survey of U.S. county-level EMs. The two most important barriers to the use of SM for collecting information are lack of staff and fears of information overload. A number of potential software enhancements that could help overcome the limitations of SM for EMs were all rated as highly useful. Factor analyses were successfully performed on the sets of questions about barriers and about software enhancements. The barrier of trustworthiness of SM data was a significant predictor of usefulness of some of the enhancement factors. Differences related to characteristics of the respondents and their agencies are explored, and open-ended comments that help to explain the findings are summarized.

[1]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[2]  Jillian Aurisano,et al.  User-Driven Predictive Visual Analytics on Multivariate, Spatio-Temporal Incident Reports , 2014 .

[3]  An Gie Yong,et al.  A Beginner's Guide to Factor Analysis: Focusing on Exploratory Factor Analysis , 2013 .

[4]  Robert Power,et al.  Comparing web feeds and tweets for emergency management , 2013, WWW '13 Companion.

[5]  Starr Roxanne Hiltz,et al.  Red Tape: Attitudes and Issues Related to Use of Social Media by U.S. County-Level Emergency Managers , 2015, ISCRAM.

[6]  Leysia Palen,et al.  Natural Language Processing to the Rescue? Extracting "Situational Awareness" Tweets During Mass Emergency , 2011, ICWSM.

[7]  Oliver Günther,et al.  'STOP SPAMMING ME!' - Exploring Information Overload on Facebook , 2010, AMCIS.

[8]  Starr Roxanne Hiltz,et al.  Do I Know What You Can See? Social Networking Sites and Privacy Management , 2012, AMCIS.

[9]  Barbara Poblete,et al.  Information credibility on twitter , 2011, WWW.

[10]  Jie Yin,et al.  Emergency situation awareness from twitter for crisis management , 2012, WWW.

[11]  Amanda Lee Hughes,et al.  In search of the bigger picture: The emergent role of on-line photo sharing in times of disaster , 2008 .

[12]  Leysia Palen,et al.  Learning from the crowd: Collaborative filtering techniques for identifying on-the-ground Twitterers during mass disruptions , 2012, ISCRAM.

[13]  Amanda Lee Hughes,et al.  Social Media in Crisis: When Professional Responders Meet Digital Volunteers , 2015 .

[14]  Starr Roxanne Hiltz,et al.  Dealing with information overload when using social media for emergency management: Emerging solutions , 2013, ISCRAM.

[15]  Sarah Vieweg,et al.  Processing Social Media Messages in Mass Emergency , 2014, ACM Comput. Surv..

[16]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[17]  Jie Yin,et al.  ESA: emergency situation awareness via microbloggers , 2012, CIKM.

[18]  Christian Reuter,et al.  Social Media in Emergencies , 2017, Proc. ACM Hum. Comput. Interact..

[19]  Christian Reuter,et al.  Towards social resilience: A quantitative and qualitative survey on citizens' perception of social media in emergencies in Europe , 2017 .

[20]  Barbara Poblete,et al.  Twitter under crisis: can we trust what we RT? , 2010, SOMA '10.

[21]  Fernando Diaz,et al.  Extracting information nuggets from disaster- Related messages in social media , 2013, ISCRAM.

[22]  David P. Tegarden,et al.  Business Information Visualization , 1999, Commun. Assoc. Inf. Syst..

[23]  Xiao Zhang,et al.  SensePlace2: GeoTwitter analytics support for situational awareness , 2011, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST).

[24]  Shady Elbassuoni,et al.  Practical extraction of disaster-relevant information from social media , 2013, WWW.

[25]  Leysia Palen,et al.  Mastering social media: An analysis of Jefferson County's communications during the 2013 Colorado floods , 2014, ISCRAM.

[26]  Muhammad Imran,et al.  Coordinating human and machine intelligence to classify microblog communications in crises , 2014, ISCRAM.

[27]  Starr Roxanne Hiltz,et al.  Use of Social Media by U.S. Public Sector Emergency Managers: Barriers and Wish Lists , 2014, ISCRAM.

[28]  Firoj Alam,et al.  Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises , 2017, ISCRAM.

[29]  J. Long Confirmatory Factor Analysis , 1983 .

[30]  Starr Roxanne Hiltz,et al.  Structuring computer-mediated communication systems to avoid information overload , 1985, CACM.

[31]  Thomas Ludwig,et al.  Emergency services' attitudes towards social media: A quantitative and qualitative survey across Europe , 2016, Int. J. Hum. Comput. Stud..

[32]  T. Kass-Hout,et al.  Social media in public health. , 2013, British medical bulletin.

[33]  Muhammad Imran,et al.  Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages , 2016, LREC.

[34]  Beate Stollberg,et al.  The use of social media within the global disaster alert and coordination system (GDACS) , 2012, WWW.

[35]  Laure Fallou,et al.  Public expectations of social media use by critical infrastructure operators in crisis communication , 2017, ISCRAM.

[36]  Jie Yin,et al.  Using Social Media to Enhance Emergency Situation Awareness , 2012, IEEE Intelligent Systems.

[37]  Rick H. Hoyle,et al.  Confirmatory Factor Analysis , 1983 .

[38]  Ponnurangam Kumaraguru,et al.  TweetCred: A Real-time Web-based System for Assessing Credibility of Content on Twitter , 2014, ArXiv.

[39]  Francesca Comunello,et al.  A #cultural_change is needed. Social media use in emergency communication by Italian local level institutions , 2017, ISCRAM.