FATES on the Web 2021

Third International Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web
12 April 2021

Joint with The Web Conference 2021
Ljubljana, Slovenia

About the Workshop

Following the successful editions of FATES in 2019 and 2020, this third edition of the FATES workshop will again promote the discussion around these critical questions and join forces towards a Web that is truly inclusive, transparent and open.

Data is learned from people. Personal data collected from social media and mobile devices, often considered sensitive information, has been extensively used by systems for a number of purposes, including user behavior forecasting, content recommendation and fraud detection. User behavior, in turn, is changing based on the algorithms that users are exposed to. Recent studies have revealed that many machine-learning based systems exhibit biases, including racial and gender bias. This scenario raises new challenges concerning algorithmic fairness and accountability, transparency of machine-learning models, the importance of developing better AI systems on the Web and tools to deal with privacy matters, and ethics on modeling and analyzing online communities, such as social media interactions, mobility data, political engagement networks, healthcare communities, and so on.

The goal of this workshop is to gather researchers and developers from academia, industry, and civil society to present and debate topics of the importance of developing better AI systems on the Web and tools to deal with privacy matters. The program of the workshop edition includes an invited speech by Lucy Vassermann (Jigsaw, Google) with title "AI Principles in Identifying Toxicity in Online Conversation" and six papers (long, short and discussion) about fairness, misinformation, social media polarization and bias. 

Workshop program

The workshop will be the day April 12, 2021 from 1.30 PM to  17 PM CEST time

The program is in the Europe CEST time zone 
Here is a handy link for converting the start time of the program to your time zone.

1.30 PM   (5 min) Welcome from Organizers

1.35 PM  – 2.35 PM FIRST SESSION

 1.35 PM (20 min) LONG PAPER Fairness beyond “equal”: The Diversity Searcher as a tool to detect and enhance the representation of socio-political actors in news media
 Bettina Berendt (TU Berlin and KU Leuven), Özgür Karadeniz, Stefan Mertens and Leen d’Haenens (KU LEuven)

1.55 PM  (15 min) DISCUSSION PAPER Exploring Racial Bias in Classifiers for Face Recognition
Jaeju An (Eulji University) , Bosung Yang (Ajou University, Jeongho Kim, Simon S. Woo and Geonwoo Park (Sungkyunkwan University)

2.10 PM (20 min) LONG PAPER Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms
Golshan Madraki, Isabella Grasso, Jacqueline Otala, Yu Liu and Jeanna Matthews (Clarkson University)  

2.30 PM (5 min) Cross-cutting questions

2.35 PM  – 2.45 PM BREAK 10  min

2.45 PM  – 3.45 PM  SECOND SESSION  

2.45 PM  (20 min) LONG PAPER Automating Fairness Configurations for Machine Learning 
Haipei Sun, Yiding Yang, Yanying Li, Huihui Liu, Xinchao Wang and Wendy Hui Wang (Stevens Institute of technology)  

3.05 PM (20 min) LONG PAPER Political Polarization and Platform Migration: A Study of Parler and Twitter Usage by United States of America Congress Members | Jacqueline Otala, Gillian Kurtic, Isabella Grasso, Jeanna Matthews, Yu Liu and Golshan Madraki (Clarkson University)  

3.25 PM (15  min)  SHORT  PAPER Auditing source diversity bias in video search results using virtual agents 
Aleksandra Urman (University of Bern &   University of Zurich), Mykola Makhortykh (University of Bern)  and Roberto Ulloa (GESIS – Leibniz Institute for the Social Sciences)  

3.40 PM (5 min)  cross cutting questions

3.45 PM – 4.00 PM BREAK 15 min


4.00 PM (45 min) Keynote Title: AI Principles in Identifying Toxicity in Online Conversation
Lucy Vasserman from Jigsaw  (Google)

4.45 PM (10-15  min questions)

Program Committee Co-Chairs and Organizers

Chiara Renso, ISTI/CNR, Italy
Jeanna Matthews, Clarkson University, USA