Social media platforms have evolved to play multiple roles in contemporary society - such as primary sources for communication, acting as a proxy for information needs, and also becoming a medium for seeking assistance. One of the interesting roles social media platforms have started being used nowadays for is - emergency response. During emergency events, delivering the right information in a timely manner is crucial, not only for emergency response organizations but also for other social media users in the vicinity. Social media platforms allow people who are actually at ground zero to express their opinions and provide information about the event, thus becoming in most cases, primary sources of information. However, mining social media data to provide insights that can be used by emergency response comes with significant technical challenges, such as real-time information extraction, information ranking, credibility, multimodality, information visualization, data sampling, etc. Tackling these problems require researchers to take a truly inter-disciplinary approach to enable the use-case of using social media data for emergency response holistically. Through this workshop, we want to provide a \emph{cross-disciplinary forum} for researchers from different fields to present and discuss research on this topic from different perspectives.
When an emergency event first occurs, getting the right information as quickly as possible is critical in saving lives. When an event is ongoing, information on what is happening can be critical in making decisions to keep people safe and take control of the particular situation unfolding. In both cases, first responders, rescuers, peacekeepers, and others have to quickly make decisions that include what resources to deploy and where. Fortunately, in most emergencies, people use social media to publicly share information. Social media platforms have changed emergency response, in the sense that information publicly posted on such platforms is now critical, not just in understanding what's happening on the ground, but also in making critical decisions on where resources are needed and how to deploy them. In many cases, social media platforms have also been used to communicate with communities impacted by emergencies- such communication happens between members of the community, emergency response planners, non-governmental aid agencies, and government agencies.
c Since the popularization of social media platforms, thousands of research papers have been published on highly diverse topics of interest to different research fields- from computer science to sociology. Scientists have explored networks, recommendations, ranking, propagation of information, influence, and many other technical topics. In spite of its importance, the research community, however, in our view, has not done as much work in relation to how social media data can be used for emergency response. There are significant efforts at various universities working on these topics, but there are few venues to gather scientists from different disciplines together to present and discuss progress and challenges in leveraging social media data for emergency response. The goal of this workshop is to provide a stage for scientists working on different fields relevant to leveraging social media data for emergency response. While the focus of the workshop will be on emergency response, the actual sub-topics will be broad, allowing researchers to present state-of-the-art results that might be relevant to this important topic, while providing the space for presenting new, innovative ideas and perspectives from researchers in technical and non-technical fields.
Topics of interest for the workshop include the following (using text, images, video, and any combination):
Two types of submissions for participation in the workshop are accepted: short statement of interest or idea-based papers (4 pages) and larger research papers (max 8 pages). Submissions will be evaluated on the basis of their fit to the theme of the workshop and will be reviewed by the workshop organizers. We will solicit external reviewers when necessary. We will encourage all submissions to be novel, and provide a unique perspective on how to approach the challenges of using social media data for emergency response. Selections will be made on the basis of number of submissions, with a priority given for inclusion and to authors who are not primarily from Computer Science to enable discussion which is more inter-disciplinary during the workshop.
Short Research Paper should not exceed 4 pages in AAAI format (author guidelines for ICWSM). These papers, if accepted, will be included in the ICWSM workshop proceedings. The 4-page format will be ideal for dataset related papers i.e. papers that present to the community a new novel dataset that can be useful for this community, or demos i.e. papers explaining tools or novel frameworks that are aimed at easing the use of social media data for emergency response.
Long Research Paper should not exceed 8 pages in AAAI format. Papers should cover topics described above. These papers will ideally be aimed at presenting novel research. Higher preference will be given to papers having clarity in describing the problem setting, including detailed description of how it fits the theme of the workshop and provides details on how the work can be applied in real-world and hence limitations thereof.
TBD.
Dr. Hemank Lamba Website: https://sites.google.com/site/hemanklamba/home Twitter:@hemanklamba
Dr. Ayan Mukhopadhyay Website:https://ayanmukhopadhyay.github.io/ Twitter:@AyanMukhrjee
Dr. Alejandro (Alex) Jaimes Website:http://www.alexjaimes.com/ Twitter:@tinybigdata