MSM 2018 - 9th International Workshop on Modeling Social Media (MSM'2018)

We aim to attract researchers from all over the world working on applying Machine Learning and AI models for social media data analytics and predictive insights. Social networks such as Facebook, Twitter, and LinkedIn have paved the way for generating huge amount of diverse, streaming bit data in a short period of time. Such social media data require the application of big data analytics to produce meaningful information to both information consumers and data generators. Machine learning and AI techniques are particularly effective in situations where deep and predictive insights need to be uncovered from such social media data sets that are large, diverse and fast changing. Following the discussion at our workshop at WWW2017, we aim to focus on how to apply machine learning and AI models, algorithms and systems for analytics and predictive modeling on social media and the web. Contrary to last year’s workshop, we would like to particularly invite researchers that are interested in going beyond standard analytics approaches and try to discover the intelligent information hidden in the large and fast-changing social media data.
In this context, we would also like to invite researchers in the machine learning, AI, natural language processing, data and web mining community to lend their expertise to help to increase our understanding of the web and social media. Overall, we are interested in receiving papers related to the following topics which include but are not limited to:
learning analytics methods or frameworks for social media, big data and the web
AI, machine learning and NLP techniques for social media, big data and the web
deep learning approaches and models for social media, big data and the web
approaches for social influence learning
learning methods for social link prediction
methods for learning social activities and behavioral analytic metrics
machine learning and AI models, algorithms and systems
evaluation of machine learning and AI frameworks and metrics
applications of machine learning and AI
applications of any of the above methods and technologies