Welcome to the 1st International Workshop on Social Media Analytics for Smart Cities (SMASC 2017)
In conjunction with the ACM International Conference on Information and Knowledge Management (CIKM 2017), Singapore

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In an increasingly digital urban setting, Connected & Concerned Citizens typically give voice to their opinions on various civic topics online over the social media. Efficient and scalable analysis of these citizen voices on social media to derive actionable insights is an essential need for developing smart cities. The very nature of the data namely its heterogeneity and dynamism, the lack of large annotated corpora, and the need for multi-dimensional analysis across space, time and semantics, makes urban social media analytics challenging. This workshop is dedicated to the theme of social media analytics for smart cities, with the aim of focusing the interest of CIKM research community on the challenges in mining social media data for urban informatics. We are interested in fostering cross collaboration between researchers on information retrieval, social media analytics, linguistics, social scientists, and civic authorities, to develop scalable and practical solutions to the real life problems of cities as voiced by their citizens in social media. The aim of this workshop is to encourage researchers to develop techniques for urban analytics of social media data, with specific focus on applying these techniques to practical urban informatics applications of smart cities.

This workshop is dedicated to the theme of urban social media analytics for smart cities, with the aim of focusing the interest of CIKM research community on the challenges in mining social media data for urban informatics.

Topics of interest include but not limited to

1.Combining space, time and semantic analysis of urban informatics sources on social media

2.Novel visualization of urban social media data across spatio-temporal dimensions

3.Natural language processing and text mining techniques for urban informatics

4.Semantic Web techniques for multi-sourced urban informatics data

5.Knowledge and non-obvious relation extraction across multiple social media data sources for urban analytics

6.Handling noisy social media data on urban civic issues

7.Social media apps for urban informatics

8.Graph analysis of social media data for urban informatics

9.Case studies of leveraging social media data in real life civic management and urban planning

10.Applications of social media citizen generated data on civic issues for smart cities

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Submission Guidelines:

Authors are invited to make original, unpublished submissions that are not previously published, accepted to be published, or being considered for publication in any other forum.

1.Regular Research Papers: These papers should report original research results or significant case studies. They should be at most 8 pages.

2.Application Papers. These papers will present novel urban informatic applications of social media data. They should be at most 6 pages.

3.Position Papers. The extended abstracts will present novel research directions or identify challenging problems. They should be at most 4 pages

4. Case Studies. The extended abstracts will present case studies from real-life experiences of developing/deploying urban informatic applications using social media data and/or challenges/issues faced. They should be at most 4 pages.

Manuscripts should be submitted electronically, as PDF formatted using the ACM camera-ready templates (http://www.acm.org/publications/proceedings-template). Full papers cannot exceed 10 pages in length and short papers cannot exceed 4 pages in length. Papers should be submitted through the SMASC online submission system (https://easychair.org/conferences/submission_new.cgi?a=15156761;track=186905).

All reviews will be double-blind, and submissions must be properly anonymized. Lack of anonymization may result in rejection without review. Submissions will receive an “accept” or “reject” decision based on the version that was submitted.

At least one author of each accepted paper must register for the workshop before the final version submission deadline.