Accepted contributed papers are now listed in the program on the main page.
DisCoML welcomes work involving machine learning that contributes to countering disinformation in a broad sense. Anticipated topics include (but are not limited to) ML techniques for identifying and inhibiting the spread of disinformation at internet speed and scale.
Deadlines (AoE)
Submission: 20 May 2022
Notification: 13 June 2022
Per general ICML stipulations, please be aware that this deadline is strict and cannot be postponed.
Camera ready: 8 July 2022
Submission guidelines
Papers should adhere to the ICML 2022 style. They can be of any length and may include appendices/supplementary material; however, reviewers need only consider the first five pages. Submissions must be anonymous in accordance with ICML double-blind standards, and must not have been published or under consideration in another peer-reviewed venue. Accepted papers will be assigned to a talk or the poster session based on reviews from the program committee.
Submit through EasyChair here.
Contact
Steve Huntsman (sch213{at}nyu.edu) or Paul Vines (paul.l.vines{at}gmail.com)