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 investigating the interplay of web and society. This overall theme includes research on new perspectives in social theories, as well as computational algorithms for analyzing digital traces of human activities or behaviors in social settings. 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 online traces while advancing computational tools for vast and unstructured data.
ICWSM, now in its nineteenth year, has become one of the premier venues for computational social science and social computing. Previous years of ICWSM have featured papers, posters, and demos that draw upon a wide spectrum of disciplines from computational sciences (e.g., network science, artificial intelligence, machine learning, test/data mining, natural language processing, image/multimedia processing, human computer interaction) to social sciences (e.g., sociology, communication, political science, anthropology, psychology, economics, digital humanities). Note that papers focusing solely on the advancement of algorithmic components, or which use Web data only as an artifact (for instance, in method evaluation) are out of scope. Ideal submissions should speak to research questions of societal relevance.
We invite original work that utilizes diverse digitally mediated data sources such as web navigation traces, traces from apps, social media traces, data from online platforms such as microblogs (e.g., X/ formerly Twitter), wiki-based knowledge sharing sites (e.g., Wikipedia), online news media (e.g., Huffington Post), forums, mailing lists, newsgroups, community media sites (e.g., YouTube, Instagram), Q&A sites (e.g., Quora, Stack Overflow), user review sites (e.g., Yelp, Amazon.com), search platforms and social curation sites (e.g., Reddit, Pinterest). Adapting to our continuously evolving field, we are open to new forms of technologically mediated human or society-related data sources (e.g., mobility traces, satellite data) and methods that advance our understanding of society and the influence of the web on it.
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 to 30% for full-length research papers published in the proceedings by the Association for the Advancement of Artificial Intelligence (AAAI).
ICWSM-2025 will be held from June 23 - 26, 2025, in Copenhagen, Denmark.
Topics include (but are not limited to):
- Analysis of the relationship between social media and mainstream media
- Qualitative and quantitative studies of online platforms
- Subjectivity in textual data; sentiment analysis; polarity/opinion/stance identification and extraction, linguistic analyses of human behavior on the web
- Information retrieval on online platforms
- Credibility of online content
- Measuring predictability of real-world phenomena based on digital trace data, e.g., spanning politics, finance, and health
- Social network analysis; communities identification; expertise and authority discovery
- Trust; reputation; recommendation systems
- Text categorization; topic recognition; demographic/gender/age identification
- Privacy and security on the web
- Trend identification and tracking; time series forecasting for web data
- New web applications; interfaces; interaction techniques
- Engagement, motivations, incentives, and gamification on the web
- Social innovation and effecting change through the web
- Psychological, personality-based, and ethnographic studies of web-based platforms
- Studies of digital humanities (culture, history, arts) using online traces
- Internet usage on mobile devices; location, human mobility, and behavior
- Organizational and group behavior mediated by web technology; interpersonal communication mediated by web and social media
