MM4SG: Hate, Troll, Cyberbullying, Scams and Abuse Detection
MM4SG: Fake News, Misinformation, Rumor and Event Detection
MM4SG: Multimodal Sentiment Analysis
MM4SG: Disaster Response and Crisis Management in the Web
MM4SG: Multimodal Healthcare applications using Web data
MM4SG: Multimodal content analysis for sustainable development goals (SDGs)
MM4SG: New Datasets for Multimodal Content Analysis on the internet
MM4SG: Multimodal content generation and analysis
MM4SG: Large Language Models for Multimodal Model Content Analysis on the internet
MM4SG: Foundation Models for Multimodal Content Analysis on the internet
MM4SG: Socially Responsible Multimodal Content Analysis: Fairness, Bias, Accountability, and Transparency
Authors are invited to submit original papers, which have not been published elsewhere and which are not currently under consideration for another journal, conference, or workshop.
Paper submissions should be limited to a maximum of ten (10) pages, in the IEEE 2-column format (https://www.ieee.org/conferences/publishing/templates.html), including the bibliography and any possible appendices. Submissions longer than 10 pages will be rejected without review. Furthermore, as in previous years, papers that are not accepted by the main conference will be automatically sent to a workshop selected by the authors when the papers were submitted to the main conference. By the unique ICDM tradition, all accepted workshop papers will be published in the dedicated ICDMW proceedings published by the IEEE Computer Society Press.
Triple-blind submission guidelines
Since 2011, ICDM has imposed a triple-blind submission and review policy for all submissions. Authors must hence not use identifying information in the text of the paper and bibliographies must be referenced to preserve anonymity.
What is triple-blind reviewing?
The traditional blind paper submission hides the referee names from the authors, and the double-blind paper submission also hides the author names from the referees. The triple-blind reviewing further hides the referee names among referees during paper discussions before their acceptance decisions. The names of authors and referees remain known only to the PC Co-Chairs, and the author names are disclosed only after the ranking and acceptance of submissions are finalized. It is imperative that all authors of ICDM submissions conceal their identity and affiliation information in their paper submissions. It does not suffice to simply remove the author names and affiliations from the first page, but also in the content of each paper submission.
How to prepare your submissions
The authors shall omit their names from the submission. For formatting templates with author and institution information, simply replace all these information items in the template by “Anonymous”.
In the submission, the authors should refer to their own prior work like the prior work of any other author, and include all relevant citations. This can be done either by referring to their prior work in the third person or referencing papers generically. For example, if your name is Smith and you have worked on clustering, instead of saying “We extend our earlier work on distance-based clustering (Smith 2005),” you might say “We extend Smith’s earlier work (Smith 2005) on distance-based clustering.” The authors shall exclude citations to their own work which is not fundamental to understanding the paper, including prior versions (e.g., technical reports, unpublished internal documents) of the submitted paper. Hence, do not write: “In our previous work [3]” as it reveals that citation 3 is written by the current authors. The authors shall remove mention of funding sources, personal acknowledgments, and other such auxiliary information that could be related to their identities. These can be reinstituted in the camera-ready copy once the paper is accepted for publication. The authors shall make statements on well-known or unique systems that identify an author, as vague in respect to identifying the authors as possible. The submitted files should be named with care to ensure that author anonymity is not compromised by the file names. For example, do not name your submission “Smith.pdf”, instead give it a name that is descriptive of the title of your paper, such as “ANewApproachtoClustering.pdf” (or a shorter version of the same).
Algorithms and resources used in a paper should be described as completely as possible to allow reproducibility. This includes experimental methodology, empirical evaluations, and results. Authors are strongly encouraged to make their code and data publicly available whenever possible. In addition, authors are strongly encouraged to also report, whenever possible, results for their methods on publicly available datasets.