CALL FOR PAPERS: Data-driven User Behavioral Modelling and Mining from Social Media, Workshop at CIKM 2012 Oct 29, 2012 - Maui, Hawaii https://sites.google.com/site/umsocial2012/home For questions, contact: Jalal Mahmud, [log in to unmask] Important Dates ------------------------- Submission Deadline: July 30, 2012 Author Notification: August 13, 2012 Camera-Ready version: August 25, 2012 Workshop: October 29, 2012 Overview -------------- This workshop aims to achieve three main objectives: 1) Identify key research issues and challenges in designing and developing techniques for modeling and mining users and their behavior from social media; 2) Establish and grow a community that consists of researchers and practitioners from multiple disciplines to tackle the difficult problems of user behavior understanding from social media; and 3) Initiate proper collaboration (e.g., creating and sharing public datasets) among different teams. We hope to bring together researchers and practitioners from diverse areas, such as user modeling, social media analysis, natural language processing, data mining, machine learning, privacy and security, to discuss these issues and share results. We seek high quality submissions in any of the following areas: Analytics * Interactive visual analytics for understanding derived user models * Integrated content and social network mining and analysis to derive user insights * Mining of heterogeneous data sources to derive user insights * Discovery of trustworthy information and information sources * Identification of significant user attributes (e.g., personality or preferences) for task-specific user behavior modeling and prediction (e.g., information collection or spreading tasks) * Predictive analytics of user behavior * User behavior modeling and mining at scale using Big Data approaches Feasibility/challenges of understanding individual users from social media * What aspects of an individual can be modeled from their public social media postings? * What aspects cannot be modeled? * What aspects should not be modeled? * How accurate are the models that can be extracted? * What are the best techniques to model user behavior? * How might the creation of such models be thwarted? (e.g. to preserve privacy while still allowing participation on a social network) Protecting user privacy * What information about a user can be modeled while keeping the sensitive information private? * How can users monitor what information has been revealed about themselves on social media and obfuscate any sensitive information that has been accidently revealed? Domains and Applications * Domain-specific user modeling using public social media including Twitter,Facebook, MySpace, social Q&A sites, and Amazon.com reviews for: - Retail - Healthcare - Education - Sports - News * Domain-independent user modeling using public social media such as twitter, facebook, myspace, and foursquare to derive a wide variety of user traits including: - Locations - Behaviors/Personality - Demographics - Age - Gender * Enterprise-focused user modeling using social media data on public social networks and communications (e.g., emails and blogs) within an enterprise - Employees’ social and collaboration patterns in a workplace - Work-related personality traits such as innovativeness, flexibility, and adaptiveness * Task-specific user modeling for: - Information recommendation - Crowdsourcing - Expert finding - Social Q&A Submission Instructions ----------------------------------- We will accept submissions in the following two categories: * Position paper (2 pages) * Short papers (4 pages) All submissions should be prepared according to the standard ACM publications format (http://www.acm.org/sigs/publications/proceedings-templates) and submitted through https://cmt.research.microsoft.com/CIKM2012/Default.aspx Organizers ---------------- Jalal Mahmud, IBM Research – Almaden, USA James Caverlee, Texas A&M University, USA Jeffrey Nichols, IBM Research – Almaden, USA John O' Donovan, University of California, Santa Barbara, USA Michelle Zhou, IBM Research Almaden, USA --------------------------------------------------------------- For news of CHI books, courses & software, join CHI-RESOURCES mailto: [log in to unmask] To unsubscribe from CHI-ANNOUNCEMENTS send an email to mailto:[log in to unmask] For further details of CHI lists see http://listserv.acm.org ---------------------------------------------------------------