ICDM 2021 Workshop

Social Data Mining in the Post-pandemic Era (SDM 2021)

December 7, 2021

The First IEEE International Workshop on Social Data Mining in the Post-pandemic Era (SDM 2021) will be held in conjunction with the 2021 IEEE International Conference on Data Mining (ICDM2021) on December 7-10, 2021.
The conference/workshop venue is preliminarily planned to be held in Auckland, New Zealand. 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.

Scope

The emergence of the COVID-19 global pandemic 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 disruption caused by the pandemic and lockdowns measure is also devastating. Many segments of our everyday life are destabilized, from work to study, commercial, mobility 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 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.

Topics

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

Digital and Social Science for a pandemic

Dr Cécile Paris, FTSE, FRSN
Chief Science Leader
CSIRO’s Data61

The world has been plunged into a pandemic the past 2 years, and while some thought it was almost over, the appearance of a new variant has created havoc again worldwide. Can digital and social science work help predict, prepare, and respond to a pandemic? In this talk, I will present some of the work we have been doing during this period, illustrating how such work can support authorities in responding to these difficult times. I will start with our work in social media for social good, in particular, to assist public health experts with their decision-making by providing insights from social media to identify potential disease outbreaks and understand the pulse of the country. I will also discuss some of the more problematic aspects of the spread of social media, especially during a pandemic. I will then briefly discuss other work that can support a response to such events.

Program

5:30 pm-5:35 pm (NZDT) 
[Check local time]

Opening Remarks

5:35 pm-6:35 pm (NZDT)

Keynote (Session Chair: Shuntaro Yada)
Zoom, 45 min live talk + 15 min live QA

Digital and Social Science for a pandemic
Cécile Paris, CSIRO

6:35 pm-6:45 pm (NZDT)

6:45 pm-9:00 pm (NZDT)
[Check local time]

Break 

Presentations (Session Chairs: Christophe Claramunt and Shoko Wakamiya)
Zoom, pre-recorded play in the session via share screen.
12 min pre-recorded play + 5 min live QA for each paper.

Analyzing the Bad-Words in tweets of Twitter users to discover the Mental Health Happiness Index and Feel-Good-Factors
Sudha Tushara Sadasivuni and Zhang Yanqing (Georgia State University, USA)

Cross-lingual COVID-19 Fake News Detection
Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui (The University of Illinois at Chicago, USA), Jing Ma (Hong Kong Baptist University, Hong Kong), and Philip Yu (The University of Illinois at Chicago, USA)

Online Partisan Polarization of COVID-19
Zachary Yang (McGill / Mila, Canada), Anne Imouza (Université de Montréal, Canada), Kellin Pelrine, Sacha Lévy , Jiewen Liu (McGill / Mila, Canada), Gabrielle Desrosiers-Brisebois, Jean-François Godbout, André Blais (Université de Montréal, Canada), and Reihaneh Rabbany (McGill University, Canada)

Effects of stimulus checks on spending patterns of different economic groups
Nidhi Mulay, Vikas Bishnoi, Yatin Katyal (Mastercard, India), Mohsen Bahrami, Esteban Moro (MIT, USA), Ankur Saraswat (Mastercard, India), and Alex Pentland (MIT, USA)

Analysis of User Behavior in a C2C Platform during COVID-19 Pandemic
Taisei Ninomiya, Fujio Toriumi (The University of Tokyo, Japan), Hiroka Zaitsu, and Yusuke Miyake (GMO Pepabo, Inc., Japan)

HappyRec: Evaluation of a “Happy Spot” Recommendation System Aimed at Improving Mental Well-Being
Kenta Suzuki (Kyoto Sangyo University, Japan), Siriaraya Panote (Kyoto Institute of Technology, Japan), Wan Jou She (Weill Cornell Medicine, United States), Ryotaro Tanaka, Da Li, and Shinsuke Nakajima (Kyoto Sangyo University, Japan)

A Sentiment-aware Delightful Walking Route Recommendation System Considering the Scenery and Season
Da Li, Shiho Ishitsubo, Katsuyuki Yamauchi (Kyoto Sangyo University, Japan), Siriaraya Panote (Kyoto Institute of Technology, Japan), Shinsuke Nakajima, and Yukiko Kawai (Kyoto Sangyo University, Japan)

Patient Preferences: An Unexplored Area in the Post-Pandemic Era
Haridimos Kondylakis, Angelina Kouroubali, and Dimitrios Katehakis (FORTH-ICS, Greece)

Accepted papers

  • Cross-lingual COVID-19 Fake News Detection
    Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui (The University of Illinois at Chicago, USA), Jing Ma (Hong Kong Baptist University, Hong Kong), and Philip Yu (The University of Illinois at Chicago, USA)
  • HappyRec: Evaluation of a “Happy Spot” Recommendation System Aimed at Improving Mental Well-Being
    Kenta Suzuki (Kyoto Sangyo University, Japan), Siriaraya Panote (Kyoto Institute of Technology, Japan), Wan Jou She (Weill Cornell Medicine, United States), Ryotaro Tanaka, Da Li, and Shinsuke Nakajima (Kyoto Sangyo University, Japan)
  • Analysis of User Behavior in a C2C Platform during COVID-19 Pandemic
    Taisei Ninomiya, Fujio Toriumi (The University of Tokyo, Japan), Hiroka Zaitsu, and Yusuke Miyake (GMO Pepabo, Inc., Japan)
  • Online Partisan Polarization of COVID-19
    Zachary Yang (McGill / Mila, Canada), Anne Imouza (Université de Montréal, Canada), Kellin Pelrine, Sacha Lévy , Jiewen Liu (McGill / Mila, Canada), Gabrielle Desrosiers-Brisebois, Jean-François Godbout, André Blais (Université de Montréal, Canada), and Reihaneh Rabbany (McGill University, Canada)
  • Effects of stimulus checks on spending patterns of different economic groups
    Nidhi Mulay, Vikas Bishnoi, Yatin Katyal (Mastercard, India), Mohsen Bahrami, Esteban Moro (MIT, USA), Ankur Saraswat (Mastercard, India), and Alex Pentland (MIT, USA)
  • Patient Preferences: An Unexplored Area in the Post-Pandemic Era
    Haridimos Kondylakis, Angelina Kouroubali, and Dimitrios Katehakis (FORTH-ICS, Greece)
  • A Sentiment-aware Delightful Walking Route Recommendation System Considering the Scenery and Season
    Da Li, Shiho Ishitsubo, Katsuyuki Yamauchi (Kyoto Sangyo University, Japan), Siriaraya Panote (Kyoto Institute of Technology, Japan), Shinsuke Nakajima, and Yukiko Kawai (Kyoto Sangyo University, Japan)
  • Analyzing the Bad-Words in tweets of Twitter users to discover the Mental Health Happiness Index and Feel-Good-Factors
    Sudha Tushara Sadasivuni and Zhang Yanqing (Georgia State University, USA)

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. More detailed information is available in the IEEE ICDM 2021 Submission Guidelines.

Please submit your manuscript through Cyberchair.

All accepted papers will be included in the ICDM’21 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 three possible journals: ACM Transactions on Social Computing, IEEE Journal on Social Computing, Springer Journal of Computational Social Science (TBD).

Important dates

  • Submission Deadline: September 3, 2021
  • Notifications of Acceptance: September 24, 2021
  • Camera-ready Deadline and Copyright Forms: October 1, 2021
  • Workshop Day: December 7, 2021

Organization

Co-chairs

  • 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
  • Sanchari Das, University of Denver, USA
  • Eduardo Graells-Garrido, Barcelona Supercomputing Center, Spain
  • Iwao Fujino, Tokai University, Japan
  • Jérôme Gensel, University of Grenoble, France
  • Sergio Ilarri, Universidad de 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
  • Didier Leibovici, University of Sheffield, UK & GeotRYcs, France
  • Angelica Lo Luca, IIT-CNR, Italy
  • Mohammad Reza Malek, K.N.Toosi University of Technology, Iran
  • Miguel Mata, UPIITA-IPN, Mexico
  • Yelena Mejova, ISI Foundation, Italy
  • Géraldine Del Mondo, INSA Rouen, France
  • Mir Mostafavi, Université Laval, Canada
  • Peng Peng, LREIS, Beijing, China
  • Nikos Petrellis, University of Peloponnese, Greece
  • Georgios Santipantakis, University of Piraeus, Greece
  • Panote Siriaraya, Kyoto Institute of Technology, Japan
  • Demetrios Zeinalipour-Yazti, University of Cyprus, Cyprus