June 3, 2024

5th workshop on the

Data for the wellbeing of the most vulnerable

Image credit: Mohammed Abed (AFP)

The scale, reach, and real-time nature of the Internet is opening new frontiers for understanding the vulnerabilities in our societies, including inequalities and fragility in the face of a changing world. From tracking seasonal illnesses like the flu across countries and populations, to understanding the context of mental conditions such as anorexia and bulimia, web data has the potential to capture the struggles and wellbeing of diverse groups of people. Vulnerable populations including children, elderly, racial or ethnic minorities, socioeconomically disadvantaged, underinsured or those with certain medical conditions, are often absent in commonly used data sources. The recent developments around COVID-19 epidemic and many armed conflicts make these issues even more urgent, with an unequal share of both disease and economic burden among various populations. Further, we aim to spotlight the data and algorithmic biases, especially in the light of the recent generative AI models, to raise the awareness needed to build inclusive and fair systems when dealing with crisis management and vulnerable populations.


Thus, the aim of this workshop is to encourage the community to use new sources of data as well as methodologies to study the wellbeing of vulnerable populations. The selection of appropriate data sources, identification of vulnerable groups, and ethical considerations in the subsequent analysis are of great importance in the extension of the benefits of big data revolution to these populations. As such, the topic is highly multidisciplinary, bringing together researchers and practitioners in computer science, epidemiology, demography, linguistics, and many others.


We anticipate topics such as the below will be relevant:


See previous workshop webpages: 2019, 2021, 2022, 2023

Keynote Speakers

Jun Zhuang

Morton C. Frank Professor of Industrial and Systems Engineering at the University at Buffalo, and the Director of the Decision, Risk & Data Laboratory

Miguel Luengo-Oroz

Founder and CEO Spotlab.ai; and Professor at the Doctoral School of the Universidad Politécnica de Madrid; Ashoka Fellow and Obama Foundation Europe Leader

 Important dates

SCHEDULE

Find the papers here: https://workshop-proceedings.icwsm.org/ 


June 3, 2024

9:00 - Welcome

9:05 - Keynote: Jun Zhuang: Game Theory, Data Analytics, and Disaster Management

9:35 - Paper Session I

   Exploring Sexualized Cannabis Use on Reddit: Patterns, Motivations, and Public Health Implications

   Zachary Fried, Salvatore Giorgi, Dahlia Earleywine, Pamela Osseyi and Brenda Curtis 

   Euphoria’s Hidden Voices: Examining Emotional Resonance and Shared Substance Use Experience of Viewers on Reddit

   Layla Bouzoubaa and Rezvaneh Rezapour

   Unraveling Code-Mixing Patterns in Migration Discourse: Automated Detection and Analysis of Online Conversations on Reddit

   Fedor Vitiugin, Sunok Lee, Henna Paakki, Anastasiia Chizhikova and Nitin Sawhney

   Hidden in Plain Sight: Exploring the Intersections of Mental Health, Eating Disorders, and Content Moderation on TikTok

   Charles Bickham, Kia Kazemi-Nia, Luca Luceri, Kristina Lerman and Emilio Ferrara

   Fighting for Democracy: The Attempted Coup in Peru through the lens of TikTok

   Gabriela Pinto, Keith Burghardt, Kristina Lerman and Emilio Ferrara

10:25 - Coffee break

10:45 - Keynote: Miguel Luengo-Oroz: AI and Mobile Technology to Fight Neglected Tropical Diseases (NTDs)

11:15 - Paper Session II

   Bridging Data Gaps: Predicting Inadequate Micronutrient Intake with Machine Learning

   Vasiliki Voukelatou, Kevin Tang, Ilaria Lauzana, Giulia Martini, Manita Jangid, Saskia De Pee, Frances Knight, Duccio Piovani

   Tracing the Unseen: Uncovering Human Trafficking Patterns in Job Listings

   Siyi Zhou, Jiankun Peng and Emilio Ferrara

   Biases in black-box toxicity detection models: the case of Perspective API

   Gianluca Nogara, Francesco Pierri, Stefano Cresci, Luca Luceri, Petter Törnberg and Silvia Giordano

   A comparison of online search engine autocompletion in Google and Baidu

   Geng Liu, Pietro Pinoli, Stefano Ceri and Francesco Pierri

   Online search is more likely to lead youth to validate true news than to refute false ones

   Azza Bouleimen, Luca Luceri, Felipe Cardoso, Luca Botturi, Martin Hermida, Loredana Addimando, Chiara Beretta, Marzia Galloni and Silvia Giordano

   Computing Vulnerability: Recommendations for Supporting the Emotional Wellbeing of Computational Researchers

   Dylan Thomas Doyle

 Call for papers & abstracts

Best submissions will be invited to submit an extended work to the Special Issue of EPJ Data Science.

We welcome both 2-page abstracts, as well as Long (8 pages) and Short (4 pages) papers - not counting references & appendix. 

In the case of abstracts, the 2-page limit applies to text only.

All submissions should be in English. The Long and Short papers will be published in ICWSM Workshop proceedings by the AAAI Press. Please follow the AAAI format. 

The reviewing process will be double blind, so please anonymize your submissions.

Submit via the EasyChair portal: https://easychair.org/conferences/?conf=dwmv24  (closed)


Program Committee:

The Venue

Buffalo, NY, USA

The workshop is co-located with the International AAAI Conference on Web and Social Media (ICWSM) 

Location: Jacobs School of Medicine, Room 2213A

 Organizers

Yelena MejovaISI Foundation, Turin, Italy
Daniela PaolottiISI Foundation, Turin, Italy
Kyriaki KalimeriISI Foundation, Turin, ItalyUNICEF, NYC, USA

 ISI Foundation’s Lagrange Project supported by CRT Foundation