30.01.2014 Views

Social Networking, Social Media and Complex Emergencies: an ...

Social Networking, Social Media and Complex Emergencies: an ...

Social Networking, Social Media and Complex Emergencies: an ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Bunce, S., Partridge, H. & Davis, K.<br />

(2012) ‘Exploring information experience<br />

using social media during the 2011<br />

Queensl<strong><strong>an</strong>d</strong> Floods: a pilot study’,<br />

Australi<strong>an</strong> Library Journal, vol. 61, no. 1,<br />

pp. 34-45.<br />

Keywords: Australia, floods, monitoring,<br />

awareness.<br />

This paper presents findings from a pilot study on the<br />

information experiences of people using social media<br />

during the Brisb<strong>an</strong>e River flooding in 2010/11. Data<br />

was collected through semi-structured interviews.<br />

Results revealed four different categories describing<br />

particip<strong>an</strong>t experiences:<br />

ƸƸ<br />

ƸƸ<br />

ƸƸ<br />

ƸƸ<br />

Category 1: Monitoring information – use of<br />

social media networks for the purpose of<br />

staying informed<br />

Category 2: Community <strong><strong>an</strong>d</strong> communication<br />

– communities were reached through<br />

established social networking groups or<br />

through traditional media, who sourced<br />

information from response agency social<br />

media platforms<br />

Category 3: Affirmation – information<br />

seeking for affirmation or assur<strong>an</strong>ce (e.g.<br />

safety of family/friends/property) or use of<br />

social media platforms to provide assur<strong>an</strong>ce<br />

of own safety to family <strong><strong>an</strong>d</strong> friends<br />

Category 4: Awareness – development or<br />

exp<strong>an</strong>sion of awareness of <strong>an</strong> event (e.g.<br />

to underst<strong><strong>an</strong>d</strong> how flooding had affected<br />

different areas or ability to attend work).<br />

Results also indicated that the flooding event was<br />

viewed by particip<strong>an</strong>ts as having three distinct<br />

phases: (i) pre-flooding – during this time Category<br />

2 <strong><strong>an</strong>d</strong> 4 information was most useful; (ii) flooding –<br />

Category 3 <strong><strong>an</strong>d</strong> 1 information most useful; <strong><strong>an</strong>d</strong> (3)<br />

post-flooding – Category 2 <strong><strong>an</strong>d</strong> 3 information was<br />

most useful.<br />

Cameron, M.A., Power, R., Robinson, B.<br />

& Yin, J. (2012) Emergency Situation<br />

Awareness from Twitter for crisis<br />

m<strong>an</strong>agement, 21st Annual Conference<br />

on World Wide Web Comp<strong>an</strong>ion,<br />

pp. 695-698.<br />

Keywords: emergency, situation, awareness,<br />

Twitter.<br />

This paper explores ongoing work with the Australi<strong>an</strong><br />

Government to detect, assess <strong><strong>an</strong>d</strong> summarise<br />

messages of interest for crisis coordination<br />

published on Twitter. The paper presents a<br />

description of the Emergency Situation Awareness –<br />

Automated Web Text Mining (ESA-AWTM) <strong><strong>an</strong>d</strong> how it<br />

may be used in emergency m<strong>an</strong>agement scenarios.<br />

The paper explores the problem that while social<br />

media provides a rich source of information about <strong>an</strong><br />

emergency, agency officers have a limited amount of<br />

time to sc<strong>an</strong> <strong><strong>an</strong>d</strong> assess if the information is worthy<br />

of deeper <strong>an</strong>alysis. As a result, tools are needed to<br />

address the following issues (p. 696):<br />

ƸƸ<br />

ƸƸ<br />

ƸƸ<br />

Detect unexpected or unusual incidents,<br />

possibly ahead of official communications<br />

Condense <strong><strong>an</strong>d</strong> summarise messages about<br />

<strong>an</strong> incident maintaining awareness of<br />

aggregated content without having to read<br />

individual messages<br />

Classify <strong><strong>an</strong>d</strong> review high-value messages<br />

during <strong>an</strong> incident (e.g. messages describing<br />

infrastructure damage or cries for help);<br />

underst<strong><strong>an</strong>d</strong> the impact of <strong>an</strong> incident on<br />

people <strong><strong>an</strong>d</strong> infrastructure<br />

<strong>Social</strong> <strong>Networking</strong>, <strong>Social</strong> <strong>Media</strong> <strong><strong>an</strong>d</strong> <strong>Complex</strong> <strong>Emergencies</strong>:<br />

<strong>an</strong> Annotated Bibliography<br />

45

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!