ACM SIGCHI General Interest Announcements (Mailing List)


Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Damiano Spina <[log in to unmask]>
Reply To:
Damiano Spina <[log in to unmask]>
Thu, 13 Jan 2022 00:46:54 +0000
text/plain (112 lines)
RMIT Classification: Trusted

[We apologize for the cross-postings]​

The call for papers for the Machine and Human Factors in Misinformation Management at Information Processing & Management Special Issue & Thematic Track​ is out!

The aim of this special issue is to accept submissions dealing with artificial, human, and hybrid techniques aimed at fighting the spread of misinformation.

See the full details at:

Topics of Interest

Topics of interest include, but are not limited to:

  *   Predictive models to model and fight misinformation spread (e.g., trust and reputation models, formal models, online misinformation diffusion models, forecasting models).

  *   Machine learning, deep learning, transfer learning, reinforcement learning, graph based approaches, and probabilistic methods (e.g., classification, unsupervised / semi-supervised / supervised learning, applications, architectures, loss functions, training approaches) applied to fight misinformation.

  *   Infrastructures and resources for misinformation management (e.g., datasets, implementations, frameworks, architectures).

  *   Fairness, accountability, transparency, and safety of systems and processes to fight misinformation.

  *   Use of social media to study and combat misinformation online.

  *   Human computation and crowdsourcing methodologies to fight misinformation.

  *   Hybrid and multi-agent approaches to fight misinformation.

  *   Biases in artificial, human, and hybrid systems used to address misinformation.

  *   Adversarial approaches to misinformation (e.g., robustness of systems, automatic generation of misinformation).

  *   Information provenance and traceability.

  *   Filtering and recommendation systems for content dealing with misinformation (e.g., content-based filtering, collaborative filtering, recommender systems).

  *   User-centered (e.g., user experience, effectiveness, engagement) and system-centered (e.g., metrics, experimental design, benchmark) evaluation.

  *   Fighting Multimedia misinformation (text, audio, image, and video; deep fakes).

  *   Fighting Multi- and cross-lingual misinformation.

  *   Generation of explanations and explainable algorithms to deal with misinformation.

  *   Regulation, policies, and socio-economical perspectives on misinformation and approaches to fight misinformation.

  *   Influence and psychological aspects of misinformation.

  *   Social network analysis, influencer detection of misinformation, and fake news spreader profiling.

  *   Corpora, annotation, and test collections (including tools and resources) to build and evaluate systems and processes to fight misinformation.

Important Dates

  *   Online submission system is open: January 5, 2022

  *   Thematic track manuscript submission due date; authors are welcome to submit early as reviews will be rolling: June 15, 2022

  *   Author notification: July 31, 2022

  *   IP&MC conference presentation and feedback: October 20-23, 2022

  *   Post conference revision due date, but authors welcome to submit earlier: January 1, 2023

Submission Guidelines

Submit your manuscript to the Special Issue category (VSI: IPMC2022 MISINFO) through the online submission system of Information Processing & Management.

Authors will prepare the submission following the Guide for Authors on IP&M journal at ( All papers will be peer-reviewed following the IP&MC2022 reviewing procedures. Please note IP&M’s strict no pre-print policy outlined in the author guidelines.

The authors of accepted papers will be obligated to participate in IP&MC2022 and present the paper to the community to receive feedback. The accepted papers will be invited for revision after receiving feedback on the IP&MC 2022 conference. The submissions will be given premium handling at IP&M following its peer-review procedure and, (if accepted), published in IP&M as full journal articles, with also an option for a short conference version at IP&MC2022.

Please see this infographic for the manuscript flow:

For more information about IP&MC2022, please visit

Guest Editors

  *   Damiano Spina, Senior Lecturer and DECRA Fellow, School of Computing Technologies, RMIT University, Melbourne, Australia. email: [log in to unmask]

  *   Kevin Roitero, Postdoctoral Research Fellow, Department of Mathematics, Computer Science, and Physics, University of Udine, Udine, Italy. email: [log in to unmask]

  *   Stefano Mizzaro, Full Professor, Department of Mathematics, Computer Science, and Physics, University of Udine, Udine, Italy. email: [log in to unmask]

  *   Gianluca Demartini, Associate Professor, School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia. email: [log in to unmask]

  *   Kalina Bontcheva, Full Professor, Department of Computer Science, The University of Sheffield, United Kingdom. email: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to:
     mailto:[log in to unmask]

    To manage your SIGCHI Mailing lists or read our polices see: