Abstract: Social networks have seen an unprecedented growth in terms of users worldwide. According to the Pew Research Report, 1 nearly half of adults worldwide and two-thirds of all American adults (65%) use social media, including 35% of those 65 and older and over 90% of 18-29 year olds. This workshop aims to provide a forum for AMIA community members to present and discuss advances in social media mining for health applications, following on the success of a Session and accompanying Workshop on the topic that was hosted at the Pacific Symposium in Biocomputing (PSB) in 2016. The workshop seeks to attract researchers interested in automatic methods for the collection, extraction, representation, analysis, and validation of social media data for health informatics, including epidemiological and behavioral studies. It serves as a unique forum to discuss novel approaches to text and data mining methods that are applicable to social media data and may prove invaluable for health monitoring and surveillance. The workshop will include peer-reviewed paper presentations in the research forum (3 hours) and shared task participant presentations and discussions (3 hours). The shared task will involve three subtasks relevant to medication-related postings in social media: (i) automatic classification of adverse drug reaction (ADR) posts, (ii) automatic classification of posts indicating personal intake of medications versus other medication mentions, and (iii) normalization of ADR mention extracts into UMLS CUIs (Unified Medical Language System Concept IDs).

Learning Objective 1: Bring together experts from related domains to better understand and explore how the knowledge contained within the social media realm can be best utilized for health-related tasks,

Learning Objective 2: Release annotated data to the biomedical informatics research community for the development of data-centric systems

Learning Objective 3: Enable the direct comparison of systems for social media mining of health data,

Learning Objective 4: Provide a platform for researchers actively working on social media health-related data and those interested to work in this domain in the future to collaborate and discuss ideas.


Graciela Gonzalez Hernandez (Presenter)
University of Pennsylvania

Abeed Sarker, University of Pennsylvania
Azadeh Nikfarjam, Stanford University
Michael Paul, University of Colorado Boulder
Pierre Zweigenbaum, French National Center for Scientific Research
Cecile Paris, CSIRO
Nigel Collier, University of Cambridge

Presentation Materials: