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Social Data Mining in the Post-pandemic Era (SocDM 2022​)

November 28, 2022

The Second IEEE International Workshop on Social Data Mining in the Post-pandemic Era (SocDM 2022) will be held in conjunction with the 2022 IEEE International Conference on Data Mining (ICDM2022) on November 28 – December 1, 2022.
The conference/workshop venue is preliminarily planned to be held in Orlando, FL, USA. However, due to the changing circumstances derived from the COVID-19 pandemic, the format may be updated to virtual-only or a combination of virtual and in-person participation. Updates will be posted on the conference/workshop websites.


The emergence of the COVID-19 global pandemic still has a major impact on society and the way human beings behave in space-time. Not only has the COVID-19 pandemic led to a dramatic loss of human life worldwide, but the socio-economic and social disruptions caused by the pandemic and lockdowns measure are also devastating. Many segments of our everyday life are destabilized, from work to study, commercial, mobility, familial, and leisure activities to mention a few.

Amongst many approaches so far under development for a better understanding of the way the COVID-19 pandemic impacts human behaviors at large, changes in everyday activities, social data computing appears as a promising direction to explore as nowadays social networks provide many opportunities to infer novel human trends and new forms of communications. This half-day workshop will report and discuss novel modelling, social data mining and AI approaches, and computational developments that might provide a better understanding of the epidemiologic crisis impact on human behaviors, novel habits, and definitive trends that will appear in the forthcoming post-pandemic era.


Amongst many issues to address but not limited to the workshop will address pandemic-era issues (not limited to COVID-19):

    • Social data computing for inferring the epidemiologic trends of pandemic diseases
    • Social data mining for the understanding of pre/peri/post-pandemic mobility patterns
    • Natural language processing for inferring pre/peri/post-pandemic impacts
    • Sensor-based approaches for tracing epidemic/pandemic infection patterns
    • Pandemic prediction models inferred from social data mining
    • Social data analysis for studying societal impacts of a pandemic
    • User and web-based interfaces for pandemic information broadcast
    • Social data mining for cross-cultural, global vs. local impacts of a pandemic
    • Novel trends and applications associated with pandemic studies

Keynote speech

Echo Chambers of Vaccination Hesitancy Discussion on Social Media during COVID-19 Pandemic

Dr. Yelena Mejova
Senior Reserach Scientist
ISI Foundation, Italy
The COVID-19 pandemic has brought vaccination from the purview of parents and the health-compromised to everyone in the public. However, vaccination hesitancy continues to limit the impact of this highly effective intervention. Anti-vaccination views pervade online social media, fueling distrust in scientific expertise and increasing vaccine-hesitant attitudes. The pandemic brought the vaccination discourse onto the world stage, necessitating effective countermeasures to tackle the spread of potentially harmful misinformation on a global scale. Unfortunately, social media discourse has been shown to form “echo chambers” wherein individuals receive information they are likely to agree with, and surround themselves with likeminded others. In this talk, I will present the analysis of large vaccine-related Twitter messages in 18 languages from 2019 to 2021. First, I will focus on Italy, one of the first and most affected European nations by the virus. In particular, we use network analysis to show the clusters of like-minded users, with those sharing anti-vaccination content communicating rarely with those promoting the vaccines. We show that this separation persists throughout the pandemic. However, using content analysis we find that over time the two groups speak on increasingly similar topics. Then, I will turn to 28 countries, and show that many display such polarization in their vaccine debates. Moreover, we show that the anti-vaccination clusters tend to be connected across countries, making a kind of international Twitter no-vax echo chamber. US users are central in this network, while Russian users also become net exporters of misinformation during vaccination roll-out. Interestingly, we find that Twitter’s content moderation efforts, and in particular the suspension of users following the January 6th U.S. Capitol attack had a worldwide impact in reducing misinformation spread about vaccines. I will finish with a discussion of the limitations of this methodology, privacy concerns around this sensitive topic, and thoughts for future research in the area.

Submission and publications

Paper submissions should be limited to a maximum of 4 pages for short paper and 8 pages for full paper in the IEEE 2-column format, including the bibliography and any possible appendices. The authors shall omit their names from the submission. For formatting templates with author and institution information, simply replace all these information items in the template by “Anonymous”. More detailed information is available in the IEEE ICDM 2022 Submission Guidelines. 

Please submit your manuscript through Cyberchair.

All accepted papers will be included in the ICDM’22 Workshop Proceedings published by the IEEE Computer Society Press. Therefore, papers must not have been accepted for publication elsewhere or be under review for other workshops, conferences, or journals. 

We plan to have a selection of best papers from the workshop to be extended for a special issue of two possible journals: Frontiers in Big Data and a special issue of the MDPI Societies Journal, titled “Recent Research Developments in Social Media Analytics for Aiding Real-Life Societal Issues” (TBD).

Important dates

  • Submission Deadline: September 2, 2022 September 17, 2022
  • Notifications of Acceptance: September 23, 2022 October 8, 2022
  • Camera-ready deadline and copyright forms: October 1, 2022 October 15, 2022

All dates are 11:59pm Pacific Daylight Time.



  • Christophe Claramunt, Naval Academy Research Institute, France
  • Shoko Wakamiya, Nara Institute of Science and Technology, Japan
  • Shuntaro Yada, Nara Institute of Science and Technology, Japan

Program committee

  • Eiji Aramaki (Nara Institute of Science and Technology, Japan)
  • Mohsen Bahrami (MIT, USA)
  • Andrea Ballatore (King’s College London (KCL), UK)
  • Sanchari Das (University of Denver, USA)
  • Angelica Lo Duca (IIT-CNR, Italy)
  • Iwao Fujino (Tokai University, Japan)
  • Sergio Ilarri (University of Zaragoza, Spain)
  • Adam Jatowt (University of Innsbruck, Austria)
  • Farid Karimipour (University of Tehran, Iran)
  • Dimitrios Katehakis (FORTH-ICS, Greece)
  • Yukiko Kawai (Kyoto Sangyo University, Japan)
  • Mohammad Reza Malek (K.N.Toosi University of Technology, Iran)
  • Ludovic Moncla (INSA, France)
  • Peng Peng (Chinese Academy of Sciences, China)
  • Fujio Toriumi (The University of Tokyo, Japan)
  • Demetrios Zeinalipour-Yazti (University of Cyprus, Cyprus)
  • Yihong Zhang (Osaka University, Japan)


For additional information please contact us (wakamiya [at]