Communicating in the aftermath of an earthquake: when Twitter proves to be a trustworthy and empathetic information channel.

Author(s):  
Marina Corradini ◽  
Laure Fallou ◽  
Rémy Bossu ◽  
Frédéric Roussel

<p>Twitter has proved to be a powerful tool for the dissemination of scientific information in the aftermath of a seismic event. During an earthquake crisis, the affected population is in need of rapid, reliable information on what has just happened and what to do next to stay safe. However, it is not rare that reliable earthquake information takes a few minutes to be accessible and shared with the population. This shortcoming can have harmful impact: every time there is a lack of information, rumors fill the void and misinformation spreads. To make matters worse, scientific communication is often jargon-laden and hence perceived as overly technical, inappropriate, and unfeeling. Effective earthquake communication must therefore be:</p><ul><li>rapid and clear, to prevent fake news from spreading;</li> <li>transparent, by acknowledging uncertainty if reliable information is not available yet;</li> <li>empathetic and compassionate, to decrease anxiety and promote a sense of calming.</li> </ul><p>In this light, we discuss the communication strategy of @LastQuake, the official Twitter channel (160k followers) of the Euro-Med Seismological Centre. When an earthquake strikes and is felt by the population, real-time information on the seismic event begins to be automatically published via a twitter-robot. These automatic tweets range from easily-accessible scientific information about the earthquake location and magnitude, to the shaking felt by the earthquake eyewitnesses, to the safety guidelines and –where applicable– to tsunami warnings. Our automatic tweets have little or no technical jargon. The Information is primarily accessed by users who are in the midst of responding and possibly traumatized. Hence our words, tone, and images have been carefully chosen to provide competent and appropriate communication. Meanwhile, when necessary, further tweets may be manually published to counter the onset of specific false claims and theories, or to address cultural and situational specific needs.  </p><p>Our discussion will outline the current @lastquake twitter-bot environment and discuss evidence-based best practices for using Twitter for earthquake crisis communication to avoid misinformation and promote self and community efficacy.</p>

Author(s):  
Sukumar Rajendran ◽  
Prabhu J.

The evolution of humankind is through the exchange of information and extraction of knowledge from available information. The process of exchange of the information differs by the probability of the medium through which the information is exchanged. The Internet of things (IoT) contains millions of devices with sensors simultaneously transferring real time information to devices as rapid streams of data that need to be processed on the go. This leads to the need for development of effective and efficient approaches for segregating data based on class, relatedness, and differences in the information. The extraction of text from images is performed through tesseract irrespective of the language. SCIBERT models to extract scientific information and evaluating on a suite of tasks specially in classifying drugs based on free data (tweets, images, etc.). The images and text-based semantic similarity analysis provide similar drugs grouped together by composition or manufacturer.


1984 ◽  
Vol 16 (8-9) ◽  
pp. 349-362 ◽  
Author(s):  
John L Vogel

Continued growth of urban regions and more stringent water quality regulations have resulted in an increased need for more real-time information about past, present, and future patterns and intensities of precipitation. Detailed, real-time information about precipitation can be obtained using radar and raingages for monitoring and prediction of precipitation amounts. The philosophy and the requirements for the development of real-time radar prediction-monitoring systems are described for climatic region similar to the Midwest of the united States. General data analysis and interpretation techniques associated with rainfall from convective storm systems are presented.


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