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 seventeenth 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-2024 will be held in early June in Buffalo, NY, USA, near Niagara Falls and two of the five Great Lakes!



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 Are 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)

ICWSM-2024 Keynotes


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ICWSM Code of Conduct



All persons, organizations and entities that attend AAAI conferences and events are subject to the standards of conduct set forth on the AAAI Code of Conduct for Events and Conferences. AAAI expects all community members to formally endorse this code of conduct, and to actively prevent and discourage any undesired behaviors. Everyone should feel empowered to politely engage when they or others are disrespected, and to raise awareness and understanding of this code of conduct. AAAI event participants asked to stop their unacceptable behavior are expected to comply immediately. Sponsors are also subject to this code of conduct in their participation in AAAI events.


Additionally, participants are encouraged to be courteous when sharing screen captures and photographs of conference events. Seek permission when possible and respect requests to take down images if those featured ask. Concerns around code of conduct or inclusion may be sent to icwsm23@aaai.org. If you have any concerns or items to report, please reach out to the General Chair, Jahna Otterbacher.

Registration new



ICWSM-23 Registration


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ICWSM-23 Registration Fees


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Workshop / Tutorials


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Workshops Schedule


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Tutorials Schedule



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Data Challenge



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ICWSM Awards



ICWSM Adamic-Glance Distinguished Young Researcher Award

This annual award is presented to a young researcher who has distinguished themself through innovative research in the area of social computing/computational social science in the early stage of their independent research career. The award is named after Lada Adamic and Natalie Glance, two outstanding researchers who have made significant contributions to the International AAAI Conference on Web and Social Media (ICWSM) in particular and social computing/computational social science in general. The ICWSM research community at large has greatly impacted this field, through identifying the connections between online digital behaviors and critical societal questions and issues. From misinformation and fake news to how we can use social media and social networks to gain insight into political polarization, mental health, and social movements, the range of topics addressed by the community is continuously expanding. We want to recognize and celebrate the young researchers who are making these contributions today.


The award was established in 2021, at the 15th anniversary mark of the AAAI ICWSM conference. Prior winners of the award are Dr. Tanu Mitra (2021) and Dr. Robert West (2022).


Nomination Process and Eligibility

Self-nominations, nominations, and letters of support are elicited. ICWSM strongly encourages individuals from underrepresented groups in research (based on gender identity, race, ethnicity, geographical location, etc.) to self-nominate, and urges the wide community to nominate young researchers who have distinguished themselves for their creativity and rigor in identifying and addressing important research topics of societal impact. Nominations are open from February 1st to March 1st 2023. Use this Google Form for submission.


Eligibility Criteria

The award is open to individuals who:


  1. Have received their PhD within the past 7 years. Career interruptions and other special circumstances will be considered and should be mentioned in the nomination justification document.
  2. Perform research that is recognizably within the broad field of social computing/computational social science in terms of their thematic and methodological approaches.
  3. Have published their research in the top venues for social computing or computational social science, including active participation in ICWSM.

As long as a candidate is eligible based on the three criteria above, they will be considered even if they were nominated or self-nominated in prior years.


Selection Process

The selection committee consists of three to five members and is appointed by the AAAI ICWSM Steering Committee Chair. The committee solicits self-nominations, nominations, and letters of support from the social computing/computational social science community. The selection is based on the impact of the candidate's work in the field: in identifying significant new problems, creating promising new ideas, paradigms, and tools related to data-driven understanding of human behavior, which may be quantitative or qualitative in nature. Depth and impact are valued over breadth of contribution for this award. A strong regard for considering the ethical aspects of the data/methods used in social computing/computational social science is expected of the research record of the nominees.


The nomination form asks the following questions:


  1. Nominator’s information (name, affiliation, email, a link to their webpage).
  2. Nominee’s information (name, affiliation, email, year of PhD, a link to their webpage that contains additional information, for example their CV/resume).
  3. A one-page statement explaining why the nominee deserves the award in question, especially highlighting the novelty and strength of their contributions in the area of computational social science / social computing, and providing evidence of their academic and societal impact. A second page can be included to contain information about career interruption or any special considerations.
  4. Citations for up to three representative publications and/or links to other artefacts documenting the contribution or impact.

Note for letters of support: The form makes it easy to submit letters of support from people other than the nominators or self-nominators. Such individuals will not need to complete the details of the nomination, they will simply upload their letter.


Form accessibility: The nomination form requires Google authentication. If for any reason this is a problem for the nominator, please send the nomination materials via email to: adamic-glance-award@icwsm.org.


Conflict of interest: The awards committee takes conflict of interest seriously. If an nominated individual is a former or current collaborator of one or more of the committee members, such member(s) recuse themselves from evaluating and voting on these nominations.


2023 Awards Committee

  • Brooke Foucault Welles (Northeastern University)
  • Bernie Hogan (University of Oxford)
  • Eni Mustafaraj (Wellesley College)
  • Jason R.C. Nurse (University of Kent)
  • Tanu Mitra (University of Washington)

Award recipients will be joining the award selection committee within two years of their award win, to replace members who rotate off the committee.

Contact the committee: adamic-glance-award@icwsm.org


Award Ceremony

The award will be presented annually during the AAAI ICWSM conference. The awardee will be given the opportunity to give a plenary talk at the next year conference and announce the new recipient. Each recipient will be listed with a citation for their award on the ICWSM Adamic-Glance Distinguished Young Researcher Award web page. Financial support for attending the conference will be provided.