The Second International MIS2 Workshop:
Misinformation and Misbehavior Mining on the Web

Workshop held in conjunction with KDD 2021
Aug 15 from 1pm ET to 9pm ET (10am PT to 6pm PT), 2021


The web is a space for all, allowing participating individuals to read, publish and share content openly. Despite its groundbreaking benefits in areas such as education and communication, it has also become a breeding ground for misbehavior and misinformation: any individual can reach thousands of people on the web near-instantaneously, purporting whatever they wish while also being shielded by anonymity. This capacity has led to rampant increases in misbehavior and misinformation vectors, via harassment, online scams, spread of propaganda, hate speech, deceptive reviews and more. Such issues have severe implications on both social and financial fronts.

The study of misinformation and misbehavior mining has become focal for researchers across many subfields of data, computational and social sciences, including network science, machine learning, cybersecurity, privacy, natural language processing, human computer interaction and more. MIS2 @ KDD 2021 provides a venue for researchers working in, or adjacent to these diverse areas to coalesce around central and timely topics in online misinformation and misbehavior, and present recent advances in research.

Areas of interest include, but are not limited to:

Topics of interest include (but are not limited to):

Paper Submission

We encourage submissions with both academic and industrial motivations, of the following types:

All submissions will be peer-reviewed by at least 2 reviewers, and all accepted manuscripts will be presented (virtually) at the workshop. Additionally, accepted papers will be published in the companion proceedings of the KDD conference and ACM digital library, unless the authors choose to opt out from publication. Format


Papers must be submitted in PDF according to the new ACM format published in ACM guidelines, selecting the generic “sigconf” sample, with a font size no smaller than 9pt. Submissions should be 2 to 8 pages long. No need to anonymize your submission.

Papers should be submitted via the CMT: Submission Portal

Keynote Speakers

James Caverlee Emiliano De Cristofaro Jiawei Han Giovanni Luca Ciampaglia Monica Lee Vishwakarma Singh
Professor Professor Professor Assistant Professor Research Manager Machine Learning Researcher
Texas A&M University UC London UIUC University of South Florida Facebook Pinterest

Important Dates (Subject to Change)


Srijan Kumar Aude Hofleitner Meng Jiang Neil Shah Kai Shu
Assistant Professor Research scientist and Manager Assistant Professor Senior Research Scientist Assistant Professor
Georgia Institute of Technology Facebook University of Notre Dame Snap Illinois Institute of Technology


Please direct all questions to

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