<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kasthuri Jayarajah</style></author><author><style face="normal" font="default" size="100%">Shuochao Yao</style></author><author><style face="normal" font="default" size="100%">Raghava Mutharaju</style></author><author><style face="normal" font="default" size="100%">Archan Misra</style></author><author><style face="normal" font="default" size="100%">Geeth De Mel</style></author><author><style face="normal" font="default" size="100%">Julie Skipper</style></author><author><style face="normal" font="default" size="100%">Tarek Abdelzaher</style></author><author><style face="normal" font="default" size="100%">Michael Kolodny</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Social Signal Processing for Real-time Situational Understanding: a Vision and Approach</style></title><secondary-title><style face="normal" font="default" size="100%">First International Workshop on Social Sensing (SocialSens 2015)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><pub-location><style face="normal" font="default" size="100%">Dallas, Texas, USA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;p1&quot;&gt;The US Army Research Laboratory (ARL) and&amp;nbsp;the Air Force Research Laboratory (AFRL) have established a&amp;nbsp;collaborative research enterprise referred to as the Situational&amp;nbsp;Understanding Research Institute (SURI). The goal is to develop&amp;nbsp;an information processing framework to help the military obtain&amp;nbsp;real-time situational awareness of physical events by harnessing&amp;nbsp;the combined power of multiple sensing sources to obtain insights&amp;nbsp;about events and their evolution. It is envisioned that one could&amp;nbsp;use such information to predict behaviors of groups, be they local&amp;nbsp;transient groups (e.g., protests) or widespread, networked groups,&amp;nbsp;and thus enable proactive prevention of nefarious activities. This&amp;nbsp;paper presents a vision of how social media sources can be&amp;nbsp;exploited in the above context to obtain insights about events,&amp;nbsp;groups, and their evolution.&lt;/p&gt;
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