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.
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
To be anounced
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
Please direct all questions to email@example.com