Bestand wählen
Merken

Open Source Social Media Aggregation and Geolocating for Emergency Management

Zitierlink des Filmsegments
Embed Code

Automatisierte Medienanalyse

Beta
Erkannte Entitäten
Sprachtranskript
Hi good morning minds stand I'm here to talk about open source and social media aggregation that titles a bit of a mouthful 19 in hindsight I wish I had title something simpler like I'm finding the needle in the in the social media haystack existed in the Covenant be talking about and and what whether you're trying to find the emergency make meant related new that social he's decorating thing else but it is a needle in the haystack we're gonna talk about some the tools that we used in in our 1st project is to to do that so I'm glad to hear that Thomas holdings here today he gave a great presentation yesterday about map Jakarta if you did get a chance to see that if we go take a look at the the presentation online because he talks about social media and how they use the same tools that is good for a lot of projects and in terms of the technologies and the challenges so it's that figured they but it I would highly recommend that take a look at that and amines banking on isophote helper and I'm based in San Diego at a lot of work for the government Pierce County open that up in Seattle Tacoma area and the slides it's just a simple revealed IJS a single HTML page if you see the little those buttons down there were all using the same technology that there online right now viewpoint . prose slash phosphor gene I the project and the talk
about is called 1st to see that to the to the the this the spearhead of the leaders of group are the government of Pierce County Washington and the Pacific Northwest economic region and the actual project is for all of the the deity agencies in the Puget Sound region to deal with a a widespread disaster where social media might come into play to t 2 you Enhanced Situation Awareness and so we have a federal state local government partners some of some the tribal communities and the business community is some of the large ports along the Puget Sound region the logic companies are all interested in you how we can use social media during during a large-scale disaster and we have the that the Coast Guard and were working closely with Washington National Guard all these agencies come into play and and try to work together in incident and there are challenges with that in an ad in social media to the next provides another challenge so we'll talk about that but 1st gonna tell little stories about 34 years ago a spring day my little brother comes running into the house he can shouting look up in the sky that with the sky you can see you could see ash cloud mount Helens has erupted look up at the sky you can see it you could see the volcano and he was scolded for telling lies but he wasn't made to sit down and hear the story
of the boy who cried wolf the and all the while
Mount St. Helens was the fact erupting and from we live in the Puget Sound area and the wind was blowing all that hatch to the east but from our vantage point we can actually see the dust cloud rising and at and sure enough you know he was telling the truth and we just just didn't believe so if that happens it
today or if if if my little brother had today's technology back in 1980 we would just tweeted and in the family could of gone to Twitter and see what's trending I don't have read that the whatever the the Seahawks the Sounders may think the folks at the northwest border between you cannot see arts regard as well so going on but we would see now St. Helens and then the ash cloud all being tweeted to corroborate his story OK so so the idea of of social
media and how that relates to to an agency try to use situates the social media we have our existing situational awareness tools you everything from 9 1 1 to command centers in social media doesn't replace India that's it simply augments so we've got
existing tools that and now social media is just a new piece of that puzzle not meant to replace anything to just augment what we're up what we already have OK not that they're all out on the on those who do primal just last month a disgruntled Gabor tweeted a bomb threat I'm about the plane that is so when the executive was on and this tweet was taken seriously the at the plane was diverted and the that the the disgruntled gamer is enough in hot water right now and it the in China was only a month ago but the same time we and but on a more serious note that during the Boston
bombings at at the Boston Marathon bombing but that's a good example of taking a look at how social media could be used in in a big disaster so we you got a couple of things were going on that you have people taking pictures with their their their cameras and tweeting about inputting posts up you know just just the family fun out and then you have this incident in this and you have a lot of that information to use to put together the pieces and in fact there's a real interesting article about of there's a Facebook post that someone had captured 1 of the suspects on you know that that's an example how we can start to use social media and the Boston place particular use social media to communicate out to their citizens were seeing the PIO so the various organizations using social media as a as a public information tool of but we also have a tool for for a community surveillance if you will all these little pieces of the puzzle coming coming together to pay a bigger picture and it's still like during during that time is really got a whole article of what went wrong with social you would what what printed out wrong so sold you it can be taken as the gospel truth and that that is 1 of the challenges of social media and and something that the naysayers will will talk about the talk about that but the false rumors and that that's that's a part the
problem due to which we say but still yeah but still now say Helen's still
full volcano RE irruption so so the this is this is the maps of the depths of the of the earthquakes under Mount St. Helens since the rock so I what's going on here is we were all sitting can the
edge of that that 1 if few complaints and in the Pacific Plate is pushing on that 1 if you pushing it in the North American plate creating the subduction zone so here we are in
Portland and our subduction zone as we as we sit here as I I believe I think that's Western has east 0 underneath us too slowly but surely pushing us into the into the North American play and what that double the the result that is is for the last year 3 half millennia every every 300 to 600 years were getting a catastrophic earthquake like like like a 9 . 0 were quick you something that's can be devastating in fact in the in the in the Puget Sound region the military that the Navy is planning an exercise to deal with what happens when all the bridges go down the happens when all the airports crumble you know and and part of that exercise is going to be big 5 event with label ships part of the Pacific actors mobile hospitals and and what we know a lot of communications is gonna go out but along the way we can be sure that word its social media that we can start the hottest reiterate that I that back to the subduction zones so the last the last big 1 was the 1700 cascade the earthquake and is a real interesting article about the lost changes that happened during that big when I and I believe that they don't know the the actual but in 8 . 7 to 9 . 2 but as big enough for for this anomaly that was generated here was felt all the way in Japan that's felt that's how big that earthquake was so as do the math every 300 to 600 years last being 17 hundreds meaning you know what we're during that window right now and the the article chemicals the
detailed substance that's about a 10 per cent chance that will see that that big 1 in our own lifetimes and and and all these other speculation but this is the point geologist and civil engineers have broadly determine that the that the Pacific Northwest region is not well prepared for such a colossal so you know we're a plan for it uh let's hope let's hope for the sulfur 20 300 not in an amount to the year 2020 50 and and it's not as earthquakes and go read out you know that we were a year ago the asteroids came down in Russia um and and people were tweeting about it now good luck getting grant funding for an asteroid hit but the the thing about system in social media in general if you designed for 1 event like a massive earthquake well when the oil spill happens or a dirty bomb or a man-made disaster be accidental or otherwise you have your tools in place to deal with deal with these large scale and multi jurisdiction no problems that and although we don't know what this is going to
happen and we don't know when we know it's going to be that the yeah and we know people are going to
be that so we do know and summary what we would do
is take those tweets and take a situation where it is not augmented with with the situation awareness and so it would that we we've developed
and program called 1st to see and that this is the the the the homepage website is uh 1st c . origin for the the the the the the the that 1st c . 4
and the actual 1st to see platform is is of a mobile app in you get you go online and and and download the apps I we we that people we were in the process of vetting 6 thousand National Guard troops with the app so that wouldn't with with the public to submit something of that that they see that's kind of the see something say something genre that you see a T is a if the public service something in and say that a national guardsmen something the god is prevented that information about anything is weak we can take those those points coming in from the field and overlay it with social media addicted to get an augmented situation awareness picture and then we would that you have an API so that our partners several mapping systems can can harness this information as well as in their own systems
so I'm I'm not an spent any time today talking about the mobile app portion of it because that's a proprietary piece but you can download from the App Store but anything with the open-source software is that you
can integrate them together and it so here here's the 1st glimpse of our open source software this this is an open open layers and map interface with the choose a ring in the back and just to show some shipping routes we can click on the points of the the photos of both social media and the reports and social media tool that I won't talk about today is called Swift river and that is from that that that that was the group has has even heard of who should he be like a lot people her so they they they are the they care about in Canada in candy elections have crowdsourcing in entering the Haiti Earthquake they were used extensively to to help of the disaster relief there and and swift river is a spin off on on on the flight should platform designed to look at social media and what what we really like about this with fervor platforms water paradigm that bit that they've come up with and so the idea is that an individual to a single individual tweets called a droplet and and and be that added to sunday uh thinks but poster Instagram and and and all the oceans of the world contains all the world's tweets and sold it at any take proper input into a river as a subset of those notions the river and that's something like like hash a for an event is your river and generally a lot droplets in a river too many to really work with so this notion of a bucket where you take that river and scoop out some important droplets from that bucket and then you work with that information in a bucket to to create PDF-report so report or or or or do you need to to get get augmented situation where so
and or get out but they also landslide happened killed 43 people that in the in the snow Holmes County area a rule area part of Washington but so in in in in the immediate aftermath of the the also slide has taken and that the 5 thirties has came came to prominence so we set up a river trained towards your so landslide and then put a filter missing so let us take a look at the what's missing and also slide so also in in the world of Twitter my son is still missing from the so slide here is a Diana Ross roots of missing you tops the charts and also landslide death toll reaches 41 OK so maybe they were just taking the also slide hashtags that brings us down to 2 and because we're looking at it was a search and rescue efforts that got under way that we're looking at the tweet about the missing person ended up our bucket the the and here is a
screenshot just of of of the interface with river comes with its own and the interface but because they have an API we able create a custom interface that we could you know use to create our own look-and-feel and integrate with our our branding and our our mobile app information the and then here is
a the final but at that we're able to
that's put out to and and uh into PDF in Excel format but this is just a quick screenshot of our 1st the 3 JS this this is the drop account per month of all of the rivers that we've been tracking and so and there's a lot of we've collected we we've been in production for a little over a year and we've collected over 6 million droplets at this stage and so we have a couple spikes there in July we did a test we to put a greater River on the on the keyword fireworks and not brought in and a like a million tweets that weekend of all the firework tweets you'll all over the country world but but most of the country and so that that cost spike there and that's the best part of the training process to train people you know if you if you wanna watch the fireworks I added the gathering try to find the hashtag is appropriate to the area because flood or tornado or a storm I think that's happened in March as well we we did the some of this test it out and ended up filter on past take whether and and that just brought in and you know millions of tweets that we can and we talk about the 1st disease stack were running on a LAN server it on on the Amazon cloud we have this was reverted just mentioned there and we also have the Twitter API and to find out what's trending for example tourism provide that capability but because we have access to the Twitter API we can we can get and we have the OpenLayers Annapolis OpenStreetMap as part of our mapping stack and of course we saw that a bit of D 3 JS we've only scratched the surface there's a lot we can do is we saw from mike's talk yesterday with visualization and taking all this information we have we have you know the content we have time we've got photographs we've that data location and and there's just all whole world of opportunity and to use something like the 3 G J. has to get a
picture and so so this is just an the 1st is the stack puzzles actually but there's a few more pieces to the puzzle and then that's piece there is also a LAMP stack and it's written in a bunch of languages Java Python because the PHP there we've got a Apache solar doing some searches is star rather q doing some of the messaging and and you if you're going to install this you know as Daniel said it's it's free as in speech not free isn't free as in an not freezing beer you have to have someone on the ground who who who who knows these things in and help you get install in the end of the and so you take them the tolerate yet this last winter need feature about swift river the and it includes a portion of of the Stanford Natural Language Processing and what attempts to do is is take the text of these tweets and tries to find a location for them so that that that to me about Malseed Helen's it has the coordinates of Mount St. Helens in its database and so even if that tweet wasn't a geo-located it would be able put a point on the map and and and and give us our a rough idea now that those tweets are in aggregate and so anybody on the noun or the noun area are tweeting about it would all be 1 cluster and but the thing about so that the Twitter API is we can also pull in the quarters of people who are treating and anything about that is that the number of tweets with actual coordinates is increasing of when we started looking at this time a year ago just a year ago the number we were saying and looking at was 1 to 3 per cent of all of all tweets with an actual life coordinate of last month we read a test and that number was up to 7 per cent and that's a huge improvement and it may not seem like much but when you talk about a million tweets you about 70 thousand points and even if you just looked up points on a map of 70 thousand points in and of themselves tell some sort of story you know something's happening in that cluster of points it
and so there there there there's a glimpse of what we're dealing with in and again 1 of the challenges of 1 of those pieces breaks and the system either doesn't run properly you're doesn't run at all thank that's uh
what are the challenges will talk about uh if you just take a look at this again the slide to remind the links the Seattle Times has has any web page where the overlay the landslide
area with a map of and you can see you can do to a slider there of of that
much coming down and that this was a real rural
area in a cause widespread damage and this is uh um you know an example of a microcosm of what the big 1 might do it and imagine a lot of these landslides all over the place and and you could have some new people to reading about in in our case missing persons and that will see a minute here so so
after this what we do is we set up a river we we use the Twitter API to see that also slide and 530 slide which is good and and find out what's what's training but needless to say we found what was trending we we we put we we brought in and about 20 thousand tweets that 1st day because it was a search and rescue effort we we we filtered on on the key word missing to put them in the bucket and that that is about a thousand and tweets and also droplets in the bucket and
then the number of a thousand was small enough for us to go through and highlight
individual ones and put
them on the PDF report and
send them to the front lines in that I've taken snapshots of a handful of those 2 dozen tweets that his in the front lines in an obvious I don't know to what effect it had on the front lines and but the fact is is is the 1st time we will take about a real-life incident and and use social media to get some information to to at least help augment search rescue effort so that this is a photograph of some the damage the and and again there is the 1st to see slide hash take there's a word missing so we have some information about this 13 year olds and so that gives us some information about who used a lot of missing and here's another 1 another person missing and he still had dries location information and has an important 1 talk about this 1 in a minute that so think seven-figure concern our our friend Tommy still missing 5 side of pre please pray for his wife that I and then we start to see now this isn't it you would what I gathering Facebook on facebook is is closed there that there is some ability to gather some information but that this person here had access to their friends face proposed to take a screenshot of that and then tweeted on twitter so that was an interesting way for us to get some Facebook information indirectly and then of course and were starting to see photographs the photographs are really important for the search and rescue effort it is a person that this is this
is this is a so this is Steven this is musical to his brother he's missing and here someone's grandfather was missing in and and and and
these photos there even though we have hotline set up and then people can report them for the people on the front line to get a piece of paper with with these pictures on them you we think that's really valuable and n is is going and assist them in their efforts and there's a really
article about how social media was used 1st to see in particular in the emergency management and block there but was that's the stock some challenges along the so couple challenges we have about attitude we we we heard that the challenges of open source in the last session and in addition to that we have the the challenges of social media and the number 3 the moment so a year ago 2 years ago we would go and agencies and they would say you know no social media we we don't understand it and we don't know how a any use it we don't want and ended the conversation today goes more like this but we don't know how how we're gonna use it we don't understand it but we think we we think we want you know we we we think we should be looking at this and so the attitude is slowly changing and you get the attitude to of course is the people about the location and and that it jump of of 3 per cent to 7 per cent of people who are led to show the location is an improvement in and and and whether that's changing added or people or other mobile and more uh it's good for us and know I know my time's running out here so I'll just put the the the the the challenges the high source sorry the low signal-to-noise ratio and then the complicated stack and the stability to noise ratio I did not know this but
apparently God has a Twitter account and he gets a lot of tweets a lot of people to tweet God and in fact after it in any sort of disaster that is 1 of the main track hashtags is is you know pray for so and so is the temptation is cable that got have his organ ignore all those words in a focus on our own ones remember that last slide my friend thomas still missing brief revived that well that's and that's valuable information OK we can't we can't ignore God streets we need to look at God's streets as well because there is valuable information in the and and is not just that it's is not just got who who adds that poor signal noise ratio we got the American Red Cross give blood a noble to it over and over and over and and and that the during the also incident uh the hotline for missing persons the news retweets OK and onions you by the rapporteur OK so that up to this
is a challenge that complicated stack and
so solution jack of all trades master of none that's me ideally you want a super carol
like the bill the developer Emmanuel College has been really instrumental in in keeping us a floating getting a friend but the real solution
is many Hands Make Light Work and that's where the open source community comes into play because you which as more risk involved with the social
that's with River project in particular and as as we get involved in Württemberg expanded to include Vine videos Instagram and Facebook posts you know we can all benefit in and we can all do our part in together you know have a better platform so what's finish with
a couple you could see these links here Eric Alderman he from the Pacific Northwest Economic region talks about the social media attitudes towards disaster management and we saw that 1 but this is not
the IT director Linda chirality discounting she was featured in an article talking about making a case for government technology in general is a really good article and she also goes into 1st to see in the social media aspect this on reference this
final slide and jungle out there so that the that the force saying you're right there is a needle in the haystack to the cow and the the point being is that in the needle in the haystack has always been a challenge but he's got the tool there he's got that the the the electric sensor and and that the the the metal detector and that's kind of what we have with the swift river the open-source tools with that with that with with all that that social media so so the it is it is like hunting for a needle in the haystack but fortunately we have we have some tools of slides from online is my contact info and I think I've time for you what 1 questioner to 2 questions yeah the thank you
and and th e and 5 when the Cascadia earthquake happens How long until the cell network saturate and nobody's to the following the in the hands and so so that is the 1 with the guy in the in sense of what we know and in on on the so that it is time the the user has a what is the the the the site you a lot of the the life that is used in the present in the and it can actually I would recommend half and half and that this is the last part of my life during the day and the from this year was the lowest form of violence the of the of the In the proof
Bit
Open Source
Güte der Anpassung
Einfache Genauigkeit
Twitter <Softwareplattform>
Kombinatorische Gruppentheorie
Term
Computeranimation
Homepage
Rechenschieber
Mapping <Computergraphik>
Flächeninhalt
Offene Menge
Hypermedia
Projektive Ebene
Quelle <Physik>
Stellenring
Stellenring
Familie <Mathematik>
Gruppenkeim
Aggregatzustand
Kontextbezogenes System
Inzidenzalgebra
Mathematische Logik
Computeranimation
Hypermedia
Projektive Ebene
Lie-Gruppe
Aggregatzustand
Punkt
Twitter <Softwareplattform>
Flächeninhalt
Familie <Mathematik>
Streuungsdiagramm
Computeranimation
Ebene
Ebene
Whiteboard
Twitter <Softwareplattform>
Hypermedia
Kontextbezogenes System
Erweiterte Realität <Informatik>
Speicherbereichsnetzwerk
Computeranimation
Facebook
Selbst organisierendes System
Reelle Zahl
Hypermedia
Mereologie
Familie <Mathematik>
Information
Inzidenzalgebra
Computeranimation
Mapping <Computergraphik>
Zeitzone
Computeranimation
Resultante
Zentrische Streckung
Telekommunikation
Punkt
Mathematisierung
Mobiles Internet
Automatische Handlungsplanung
Mathematisierung
Iteration
Bridge <Kommunikationstechnik>
Baumechanik
Physikalisches System
Zeitzone
Ereignishorizont
Computeranimation
Multiplikation
Einheit <Mathematik>
Meter
Hypermedia
Mereologie
Bildschirmfenster
Wort <Informatik>
Kontextbezogenes System
Erweiterte Realität <Informatik>
Computeranimation
App <Programm>
Web Site
Punkt
Prozess <Physik>
Physikalisches System
Kontextbezogenes System
Overlay-Netz
Systemplattform
Computeranimation
Homepage
Erweiterte Realität <Informatik>
Dienst <Informatik>
Datenfeld
Einheit <Mathematik>
Hypermedia
Grundsätze ordnungsmäßiger Datenverarbeitung
Information
Optimierung
Bit
Punkt
Betragsfläche
Wasserdampftafel
Gruppenkeim
Systemplattform
Computeranimation
Freeware
Unterring
Software
Digitale Photographie
Hash-Algorithmus
Programmierparadigma
Mobiles Internet
Tropfen
Speicher <Informatik>
Schnittstelle
App <Programm>
Torus
Open Source
Routing
Ein-Ausgabe
Ereignishorizont
Mapping <Computergraphik>
Teilmenge
Twitter <Softwareplattform>
Offene Menge
Hypermedia
Kategorie <Mathematik>
Information
Eigentliche Abbildung
Verkehrsinformation
Rechenschieber
Tropfen
App <Programm>
Flächeninhalt
Twitter <Softwareplattform>
Mereologie
Schlussregel
Information
Wurzel <Mathematik>
Computeranimation
Integral
Schnittstelle
DoS-Attacke
Softwaretest
Bit
Prozess <Physik>
Wellenpaket
Keller <Informatik>
Dichte <Stochastik>
Biprodukt
Computeranimation
Mapping <Computergraphik>
Flächeninhalt
Twitter <Softwareplattform>
Digitale Photographie
Flächentheorie
Mereologie
Visualisierung
Server
Dateiformat
Inhalt <Mathematik>
URL
Information
Lokales Netz
Tropfen
Streuungsdiagramm
Softwaretest
Videospiel
Punkt
Freeware
Existenzaussage
Datenhaltung
Formale Sprache
Applet
Gefrieren
Zahlenbereich
Sprachsynthese
Physikalisches System
Quick-Sort
Computeranimation
Mapping <Computergraphik>
Flächeninhalt
Twitter <Softwareplattform>
Kontrollstruktur
URL
Koordinaten
Rechenschieber
Flächeninhalt
Physikalischer Effekt
Binder <Informatik>
Web-Seite
Overlay-Netz
Computeranimation
Rechenschieber
Wellenpaket
Twitter <Softwareplattform>
Zahlenbereich
Wort <Informatik>
Tropfen
Computeranimation
Soundverarbeitung
Facebook
Inzidenzalgebra
Computeranimation
Rechenschieber
Erweiterte Realität <Informatik>
Twitter <Softwareplattform>
Digitale Photographie
Hash-Algorithmus
Hypermedia
Wort <Informatik>
Hill-Differentialgleichung
URL
Information
Verkehrsinformation
Gerade
Hilfesystem
Thetafunktion
Digitale Photographie
Familie <Mathematik>
Gerade
Computeranimation
Umsetzung <Informatik>
Stabilitätstheorie <Logik>
Mereologie
Momentenproblem
Selbst organisierendes System
Geräusch
Zahlenbereich
Euler-Winkel
Inzidenzalgebra
Computeranimation
Spezifisches Volumen
Eins
Geräusch
Weg <Topologie>
Datenmanagement
Addition
Open Source
Mobiles Internet
Güte der Anpassung
p-Block
Rauschen
Fokalpunkt
Soziale Software
Quick-Sort
Rechenschieber
Twitter <Softwareplattform>
Hypermedia
Grundsätze ordnungsmäßiger Datenverarbeitung
Wort <Informatik>
URL
Information
Open Source
Softwareentwickler
Computeranimation
Manufacturing Execution System
Wiki
Facebook
Datenmanagement
Hypermedia
Mereologie
Projektive Ebene
Euler-Winkel
Binder <Informatik>
Inklusion <Mathematik>
Systemplattform
Computeranimation
Videokonferenz
Rechenschieber
Mehrrechnersystem
Punkt
Forcing
Open Source
Hypermedia
Information
Computeranimation
Videospiel
Web Site
Bildschirmmaske
Datennetz
Beweistheorie
Mereologie
Besprechung/Interview
Zellularer Automat
Kombinatorische Gruppentheorie

Metadaten

Formale Metadaten

Titel Open Source Social Media Aggregation and Geolocating for Emergency Management
Serientitel FOSS4G 2014 Portland
Autor King, Dan
Lizenz CC-Namensnennung 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/31674
Herausgeber FOSS4G, Open Source Geospatial Foundation (OSGeo)
Erscheinungsjahr 2014
Sprache Englisch
Produzent Foss4G
Open Source Geospatial Foundation (OSGeo)
Produktionsjahr 2014
Produktionsort Portland, Oregon, United States of America

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract This paper is a case study of FirstToSee, the social media situational awareness project organized by agencies in the Puget Sound region of the Pacific Northwest.The purpose of FirstToSee is to capture, analyze and map social media using open source tools. The desired result is improved situation awareness through a clearer operational picture which in turn assists in providing a more targeted response.The Puget Sound is an actively seismic region and is prone to massive earthquakes, such as the 1700 magnitude 9 Cascadia earthquake. The next such earthquake in the region will cause widespread casualties and damage. Inevitably, when the ÔBig One' hits the public will turn to social media to report what is happening in their area. The collective information has the capacity to assist in assessment of problems and direct resources where needed most.The project stack includes SwiftRiver, PHP, D3JS, GeoJSON, OpenLayers and GeoServer as well as complementary iOS and Android mobile applications that allow trusted sources to report additional critical information during an incident.The open nature of social media provided numerous opportunities to test the platform. Since deploying in May of 2013 we tracked Twitter activity at major Puget Sound festivals and gatherings and real-world incidents around the globe. The first regional disaster since launching came in late March of 2014 during the Washington State Oso landslide. The paper continues with analysis of the keywords searched, content gathered and methods for geolocating, aggregating and disseminating the information to emergency responders at the scene.
Schlagwörter Social Media
Emergency Response
Twitter
Tweets

Ähnliche Filme

Loading...
Feedback