The rich proliferation of many social media platforms is widely by used people on smartphone devices all over the world. At the same time, the incremental data of online social networks (e.g., Facebook), microblogs (e.g., Twitter), multi-media sites (e.g., YouTube, Instagram) and user review sites (e.g., Yelp) are imposing new challenges for the efficient data management and analysis query processing. On one hand, online social networks are undergoing rapid changes, not only on the dynamic graph structure, but also in the new information of updating user profiles, new hashtags in posters, as well as breakthrough events. On the other hand, the size of social media data is becoming bigger and bigger due to, e.g., the explosion of new posters and also the massive amount of users. Utilizing new technologies for efficient handling big social media data management is of urgent importance. However, numerous essential issues in this area have yet to be explored, including data crawling and modeling, storage, indexes, querying and mining, privacy, and so on.

The 2017 International Workshop on Big Social Media Data Management and Analysis (BSMDMA2017) aims to provide a forum for presenting the most recent advances in most recent advances in data management and mining on online social media, related to web search and information retrieval, social network analysis, visualization and summarization, and network science. The BSMDMA2017 will be in conjunction with 2017 IEEE International Conference on Big Data (IEEE Big Data 2017) on December 11-14, 2017, Boston, MA, USA. We are particularly interested in articles that address how to handle query processing on large-scale and dynamic social media data as well as their novel applications for social media platforms.