MisFAccT 2022
The 1st Workshop on Fairness, Accountability, and Transparency in Misinformation Management

@EKAW 2022

About

About

The 1st Workshop on Fairness, Accountability, and Transparency in Misinformation Management brings together researchers working on the misinformation problem. With the ever increasing number of false information spread online everyday and consequently the increasing amount of researchers and practitioners working to contrast such phenomenon, it is now time to discuss and study important aspects such as the bias, fairness, accountability, and transparency of the methods developed to tackle the misinformation problem. Considering transparency and fairness of treatment for all parties involved in misinformation is especially critical in a setting where freedom of speech is incentivized and actively supported by social media platforms.

Call For Papers

How to Submit papers

We welcome the submission of research papers and abstracts which describe original work that has not been submitted or currently under review, has not been previously published nor accepted for publication elsewhere, in any other journal or conference.

Submissions must be in English, in PDF format, and in the LNCS one column template, to be published in the CEUR-WS proceedings. We will follow a double-blind review process and the submissions will be evaluated by a program committee based on the quality of the work and the fit to the workshop. All the papers will be submitted using the EasyChair system.

    We welcome the submission of the following types of contributions:
    • Regular papers, which should be of 2–6 pages in length (including figures, tables, appendices, and references).
    • Abstract and Position papers, which should be of 1 page in length (including figures, tables, appendices, and references).
Regular papers must describe original work that has not been previously published and/or accepted for publication elsewhere, and not simultaneously submitted or currently under review in any other venue (i.e., journal or conference); Abstract papers should detail demos or relevant work or ideas which are under development; finally, Position papers should detail original and novel ideas, and research directions focusing on new and newsworthy directions in the workshop topics. We encourage submissions detailing exploratory solutions with some experimental evidence or proof-of-concept validation as well as submissions detailing novel perspectives on open problems related to the workshop topics.

The misinformation problem and in particular the ever increasing amount of false and misleading information shared online everyday is a serious threat to the overall functioning of the democratic process. To contrast this “plague”, researchers have been developing diverse methods to detect, label, explain, and contrast the spreading of false information. State-of-the-art approaches span from either non- or semi-supervised algorithms to human-powered systems. This workshop brings together knowledge management researchers working on the fight against misinformation and focuses on the bias, fairness, accountability, and transparency of those data-driven methods.

    Topics of interest include (but are not limited to):
    • algorithms and knowledge management methods for fairness-aware misinformation detection;
    • algorithms and methods to address bias and discrimination and to ensure fairness;
    • metrics and approaches for misinformation management evaluation;
    • data pre-processing, filtering, and transformation methods to ensure fairness, accountability, and transparency in data curation processes;
    • bias management and mitigation in user or item modeling;
    • personalization and recommendation;
    • responsible personalization and recommendation;
    • polarization and stance detection;
    • user studies to evaluate the impact of fairness, accountability, and transparency policies on user engagement;
    • ethical and socio-economical aspects in misinformation management;
    • privacy preserving and privacy aware systems and knowledge management methods;
    • diffusion models for social media, including studies related to spreading models, filter bubbles, etc.

    Important Dates. Time zone: Anywhere on Earth (AoE)
    • submission deadline: July 20, 2022.
    • notification: August 20, 2022.
    • camera ready: September 19, 2022.
    • workshop: September 26, 2022.
    • EKAW conference: September 26–29, 2022

We implement a double-blind review process. Submissions must be anonymous and the submission must be made via EasyChair: https://easychair.org/conferences/?conf=misfacct2022

We are committed to create an equal opportunity environment, without regard to race, gender identity or expression, age, disability, or any other status. For this reason, if you feel that you are in a disadvantaged situation or you require assistance please reach out to us misfacct2022@easychair.org. We’ll be more than happy to help and allow everyone to submit a paper.

Program

Full Program

To Appear.

Organizers

The team

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Kevin Roitero

University of Udine

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Gianluca Demartini

The University of Queensland

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Damiano Spina

RMIT University

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Maria Maistro

The University of Copenhagen

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Stefano Mizzaro

University of Udine

Contact Us

Official contact information

Reach out to us by writing an email to misfacct2022@easychair.org.