Here's how it started:
I particularly pointed out the contribution of digital volunteers, most of whom, use a variety of free tools to do a fabulous job during emergencies around the globe:
@socialmatt tell that to all digital vols like #VOST and @HumanityRoad .don't need paid service .i'd trust their monitoring chomps over any1
The key question really, is what's needed? What do EOC managers or incident commanders need? Do agencies need access to the full "twitter pipeline" ?
![](data:image/jpeg;base64,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)
I make the following points:
- with the proper search/monitoring procedures (keywords, hashtags, geo-fenced searches), agencies can get a pretty good sample of tweets/social posts to discern trends, identify rumours, etc .... often with the support of digital volunters (VOSTs come to mind)
- In the current state of the adoption of #smem by emergency managers ... there is simply no demand to get the whole data set ... to most in the EM community ...it'd just be noise ... that's where digital volunteers come into play.
So, a representative sample (and that figure keeps increasing with every single disaster) is more than enough to conduct social media monitoring. Again. this can be done for one or more of the following five reasons:
- validate emergency information put out by an agency (are people doing what you want them to do ? )
- detect rumours/misinformation that could pose a threat to public safety/public health
- identify and route through appropriate channels, calls for assistance (although you won't see them all ... you need a process in place to have it go to the right place)
- detect reputation threats that could impede the agency's ability to respond (like key influencers criticizing your response or calling out senior executives or elected officials)
- to enhance your situational awareness (gather social inter via posts, pictures, videos that people share when they witness an incident/disaster)
The fact is ALL OF THAT can be accomplished by using free tools (Hootsuite or Tweetdeck for example) although their paid version adds some umph ...as does a tool like @geofeedia.
More important than using paid tools though is the ability to validate data from your social listening operation. More and more of these tools that combine some analysis and verification features are now available. A few here:
- digital content verification during emergencies ... a great handbook
- the AIDR (artificial intelligence for disaster response)
- the Verily project ... which capitalizes on the growing importance of crowdsourcing info during disasters
No comments:
Post a Comment