The Third International 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 virtually/online in conjunction with ACM SIGKDD 2021 on August 14-18th.

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:

Multi-modality. Modern data are multi-modal encompassing relational data, social networks, natural language text, structured logs, images, video, etc. One family of techniques geared towards a particular data source may not work for the other. One of the major focus areas of this workshop is data heterogeneity, multimodality, novel applications, and data sources related to truth discovery, fact-checking, and rumor detection.
Interpretability. Another focus area is to explore tools and methods that can generate human-interpretable explanations as opposed to black-box methods, as transparency and lack of explanations remain a concern for industry to readily deploy these techniques in practice. Robustness. The third focus of the workshop will be security and robustness of fake content detection under a known or unknown environment where adversaries can learn and commit arbitrary attack strategies for data poisoning or evading detectors.
Resource-efficient Learning. Finally, lack of labeled training data and scarce annotation resources remain a serious challenge for truth discovery and credibility analysis – making it difficult to train state-of-the-art methods like deep neural networks. In this context, we encourage submissions focusing on techniques like few-shot learning, weak supervision from user interactions, and distant supervision from auxiliary knowledge sources for resource-efficient learning.
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 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/my/conference?conf=truefact21.

Important Dates
All deadlines are 11:59 PM Pacific Standard Time

Workshop paper submissions: June 1, 2021

Workshop paper notifications: June 20, 2021

Workshop date: August 14-18, 2021