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).
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 firstname.lastname@example.org. We’ll be more than happy to help and allow everyone to submit a paper.
Official contact information