Our workshop on truth discovery and fact-checking is motivated by the need for new research, tools and techniques to advance the field with the following focus areas:
- Data heterogeneity, multi-modality, novel applications and data sources related to truth discovery, fact-checking, and rumor detection
- Explore tools and methods that can generate human-interpretable explanations as opposed to black box methods, as transparency and lack of explanation remain a concern for industry to readily deploy these techniques in practise
- Security and robustness of fake content detection under a known or unknown environment where spammers can learn and then commit arbitrary attack strategy to poison the data or evade the detectors
In addition to the regular workshop, we will also host a data challenge track with two shared tasks for fake review detection in an adversarial framework and fake news detection (details will be announced soon).
The second workshop on Truth Discovery and Fact Checking: Making a Credible Web for Tomorrow will provide a forum where researchers and practitioners from academia, government and industry can share insights and identify new challenges and opportunities in resolving conflicts, fact-checking and ascertaining credibility of claims. The workshop will be held in San Diego, CA on August 23, 2020 in conjunction with the ACM SIGKDD 2020 (opens in new tab).
In view of the recent COVID-19 outbreak, the format of the workshop (in-person, virtual, or both) will be in accordance to the SIGKDD 2020 main conference format.
Topics of interest include, but are not limited to:
Topics of interest include, but are not limited to:
- Truth finding and discovery
- Fact-checking, rumor, and misinformation
- Credibility analysis and spam detection
- Fake reviews and reviewers
- Leveraging knowledge bases for reasoning, validating and explaining contentious claims
- Transparency, fairness, bias, privacy and ethics of information systems
- Emerging applications, novel data sources, and case studies
- Explainable and interpretable models
- Robustness detection under adversarial and unknown data poisoning and evasion attacks.
- Heterogeneous and multi-modal information including relational data, natural language text, search logs, images, video, etc.
Submission Guidelines
We invite submissions for original research papers both theory and application-oriented as well as submissions from the research track and applied data science track of the main KDD conference. We encourage the participants to submit papers on novel datasets and release them to advance the field. Papers must be submitted in PDF according to the ACM Proceedings Template https://www.acm.org/publications/proceedings-template (opens in new tab) in a single-blind format (including author names and affiliations). We welcome both long papers (maximum length of 9 pages) and short papers (maximum length of 5 pages). The accepted papers will be published on the workshop’s website, and will not be considered archival for resubmission purposes. Please submit your papers at the EasyChair submission link https://easychair.org/conferences/?conf=truefact2020 (opens in new tab).
We also invite participants for TrueFact 2020 Shared Tasks. Instructions for participation and awards will be announced soon!
Important Dates
All deadlines are 11:59 PM Pacific Standard Time
Workshop paper submissions: May 20 June 15, 2020
Workshop paper notifications: June 15 July 15, 2020
Workshop date: August 24, 2020