A sensitive Twitter earthquake detector

Robinson, Bella; Power, Robert; McCarthy, Cameron

doi:10.1145/2487788.2488101

Cited by 74 publications

(59 citation statements)

References 5 publications

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“…(Pritchard et al 2012) and "How can crisis management and decision-making be supported using social media?" (MacEachren et al 2011a;Yin et al 2012;Robinson et al 2013). Event detection encompasses questions such as "How can important events be distinguished from not-relevant groups of information in a large volume of data?"…”

Section: A General Comparison Of Research On Microblogging Contentmentioning

confidence: 99%

“…All dynamic approaches exploit the APIs provided by Twitter to collect and query data: Streaming APIs (Twitter 2016), Search APIs (Twitter 2016), and REST APIs (Twitter 2016) In some cases, a combination of them is also adopted (e.g. (Yin et al 2012;Robinson et al 2013;Cao et al 2012;Abel et al 2012a, b;Rui et al 2012)). A particular case is represented by (Sabty et al 2013); the authors adopt a self-developed infrastructure called RADAR, which mixes Fig.…”

Section: Static Vs Dynamicmentioning

confidence: 99%

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A Survey on Visual Analytics for the Spatio-Temporal Exploration of Microblogging Content

Bertone

Burghardt

2017

J geovis spat anal

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User-generated content is a valuable source of information whose production increases year after year. Twitter data is a form of user-generated content that is frequently adopted to comment on life activities in several contexts. Thus, scientific interest in that data has increased in recent years. This paper focusses on visual analytics approaches addressing the microblogging content exchanged through Twitter. In particular, we concentrate our interest on approaches that consider spatial and temporal aspects and provide visual support. Articles from the major conferences, journals, and digital libraries have been collected, organized and compared based on different criteria such as research questions, application focus, analytical and visual methods adopted, and interaction provided. In addition to these comparisons, opportunities and challenges are illustrated to inspire future research.

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Section: A General Comparison Of Research On Microblogging Contentmentioning

confidence: 99%

Section: Static Vs Dynamicmentioning

confidence: 99%

A Survey on Visual Analytics for the Spatio-Temporal Exploration of Microblogging Content

Bertone

Burghardt

2017

J geovis spat anal

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“…Boudreau (2011) argues that whereas social media should be about people 'communicating, sharing, interacting, contributing, bonding [and] networking', the reality is that the most popular platforms such as LinkedIn, YouTube, Google+, Facebook and Twitter exclude people with disabilities from participating and '[could not] do any worse if they tried'. In spite of Twitter's 0% accessibility rating (Boudreau 2011), the micro blogging platform is frequently heralded as vital to communications strategies in disaster situations (Grandoni 2012;Liu, Liu, and Li 2012;Robinson, Power, and Cameron 2013). Grandoni (2012) suggests tweeters adopt a particular strategy in order to get as much accurate information into the public realm of people who need it as possible.…”

Section: Social Media and Accessibilitymentioning

confidence: 99%

People with disability and new disaster communications: access and the social media mash-up

Kent

Ellis

2015

Disability & Society

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This article explores how a lack of access to increasingly complex and overlapping digital communications platforms in times of disaster for people with disabilities has the potential to make already life-threatening situations considerably more dangerous. As we are increasingly coming to rely on a social media mash-up of digital platforms to assist in communications during disaster situations, the issue of accessibility for people with disabilities is as dire as if it was high ground during a tsunami or transport during a typhoon. The contemporary social media environment is characterised by a complex and overlapping network of complementary platforms, populated by user-generated content, where people communicate and exchange ideas. In this environment, YouTube videos are posted to Facebook and embedded in blogs, and Twitter is used to link to these other sites and is itself embedded in other platforms. These networks are increasingly supplementing and supplanting more traditional communication platforms, such as the television and radio, particularly in times of disaster. The concern of this paper is that the elements from which this mash-up of communications channels is made are not always accessible to people with disabilities. This evolving network of social media-based communication exposes the limits of existing Internet-based universal design.

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“…).With 241 million monthly active users, more than 35 languages supported, and over 500 million tweets sent per day, Twitter is perhaps the most popular outlet when it comes to disseminate disaster-related information. A growing literature on methods to mine Twitter data for disaster management confirms this emerging trend [8,9,10,11].…”

Section: Local Information and Global Responsementioning

confidence: 99%

Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods

Poblet

García-Cuesta²,

Casanovas

2014

Lecture Notes in Computer Science

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recent advances on information technologies and communications, coupled with the advent of the social media applications have fuelled a new landscape of emergency and disaster response systems by enabling affected citizens to generate georeferenced real time information on critical events. The identification and analysis of such events is not straightforward and the application of crowdsourcing methods or automatic tools is needed for that purpose. Whereas crowdsourcing makes emphasis on the resources of people to produce, aggregate, or filter original data, automatic tools make use of information retrieval techniques to analyze publicly available information. This paper reviews a set of online tools and platforms implemented in recent years which are currently being applied in the area of emergency management and proposes a taxonomy for its categorization.

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A sensitive Twitter earthquake detector

Cited by 74 publications

References 5 publications

A Survey on Visual Analytics for the Spatio-Temporal Exploration of Microblogging Content

A Survey on Visual Analytics for the Spatio-Temporal Exploration of Microblogging Content

People with disability and new disaster communications: access and the social media mash-up

Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods

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