The International AAAI Conference on Web and Social Media (ICWSM) is a forum for researchers from multiple disciplines to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields with the common theme of online social media. This overall theme includes research in new perspectives in social theories, as well as computational algorithms for analyzing social media. ICWSM is a singularly fitting venue for research that blends social science and computational approaches to answer important and challenging questions about human social behavior through social media while advancing computational tools for vast and unstructured data.

ICWSM, now in its sixteenth year, has become one of the premier venues for computational social science, and previous years of ICWSM have featured papers, posters, and demos that draw upon network science, machine learning, computational linguistics, sociology, communication, and political science. The uniqueness of the venue and the quality of submissions have contributed to a rapidly growing conference, and a competitive acceptance rate of approximately 20% for full-length research papers published in the proceedings by the Association for the Advancement of Artificial Intelligence (AAAI).

ICWSM-2022 will be held from June 6th – 9th in a hybrid format, both in-person in Atlanta, Georgia and online.

Disciplines

Computational approaches to social media research including:

    Natural Language Processing
    Text / Data Mining
    Machine Learning
    Image / Multimedia Processing
    Graphics and Visualization
    Distributed Computing
    Graph Theory and Network Science
    Human-computer Interaction

Social science approaches to social media research including:

    Psychology
    Sociology and social network analysis
    Communication
    Political Science
    Economics
    Anthropology
    Media Studies and Journalism
    Digital Humanities
    Interdisciplinary approaches to social media research combining computational algorithms and social science methodologies

Topics Include (But Not Limited To)

    Studies of digital humanities (culture, history, arts) using social media
    Psychological, personality-based and ethnographic studies of social media
    Analysis of the relationship between social media and mainstream media
    Qualitative and quantitative studies of social media
    Centrality/influence of social media publications and authors
    Ranking/relevance of social media content and users
    Credibility of online content
    Social network analysis; communities identification; expertise and authority discovery
    Trust; reputation; recommendation systems
    Human computer interaction; social media tools; navigation and visualization
    Subjectivity in textual data; sentiment analysis; polarity/opinion identification and extraction, linguistic analyses of social media behavior
    Text categorization; topic recognition; demographic/gender/age identification
    Trend identification and tracking; time series forecasting
    Measuring predictability of real world phenomena based on social media, e.g., spanning politics, finance, and health
    New social media applications; interfaces; interaction techniques
    Engagement, motivations, incentives, and gamification.
    Social innovation and effecting change through social media
    Social media usage on mobile devices; location, human mobility, and behavior
    Organizational and group behavior mediated by social media; interpersonal communication mediated by social media

Example Data Sources (Web and Social Media)

    Social networking sites (e.g., Facebook, LinkedIn)
    Microblogs (e.g., Twitter, Tumblr)
    Wiki-based knowledge sharing sites (e.g., Wikipedia)
    Social news sites and websites of news media (e.g., Huffington Post)
    Forums, mailing lists, newsgroups
    Community media sites (e.g., YouTube, Flickr, Instagram)
    Social Q&A sites (e.g., Quora, Yahoo Answers)
    User reviews (e.g., Yelp, Amazon.com)
    Social curation sites (e.g., Reddit, Pinterest)
    Location-based social networks (e.g., Foursquare)