We invite researchers and practitioners to submit short papers describing an analysis of images in online social media spaces and political discourse, broadly defined. Submissions are expected to be 4 to 8 pages in length, plus unlimited pages of references. These papers will be archived as workshop proceedings unless authors request otherwise.

All papers should be submitted via EasyChair.

Topics include:

  • Interventions that improve democratic discourse (e.g., reducing affective polarization, stimulating engagement in civil political discussion);
  • Assessing the impact of social media on democratic institutions and informed publics;
  • Combating or increasing resilience to malevolent influence efforts (e.g., disinformation campaigns);
  • Identifying and protecting vulnerable audiences (minoritized groups, groups vulnerable to radicalization, groups with limited internet skills) in the age of AI;
  • Generative AI and its impact on trust of information;
  • The role of AI in online political campaigning; and
  • Frameworks for assessing interventions for improving election security.

Types of Submissions

The workshop invites authors to submit three types of papers:

  • Research Papers (8+ pages)
  • Work-in-Progress Papers or Research Proposals (2-4 pages)
  • Provocations or Critical Approaches (1-2 pages)

Format of the submissions

All papers should adopt the current ACM SIG Conference proceedings template (acmart.cls). Please submit papers as PDF files using the ACM template, either in Microsoft Word format (available at here under “Word Authors”) or with the ACM LaTeX template on the Overleaf platform which is available here. In particular, please ensure that you are using the two-column version of the appropriate template.

All contributions will be judged by the Program Committee upon rigorous peer review standards for quality and fit for the conference, by at least three referees. Additionally, each paper will be assigned to a Senior Program Committee member to ensure review quality.

This workshop review is double-blind. Therefore, please anonymize your submission: do not put the author(s) names or affiliation(s) at the start of the paper, and do not include funding or other acknowledgments in papers submitted for review. References to authors’ own prior relevant work should be included, but should not specify that this is the authors’ own work. It is up to the authors’ discretion how much to further modify the body of the paper to preserve anonymity. The requirement for anonymity does not extend outside the review process, e.g. the authors can decide how widely to distribute their papers over the Internet. Even in cases where the author’s identity is known to a reviewer, the double-blind process will serve as a symbolic reminder of the importance of evaluating the submitted work on its own merits without regard to the authors’ reputation.

For authors who wish to opt-out of publication proceedings, this option will be made available upon acceptance. This will encourage the participation of researchers from the social sciences that prefer to publish their work as journal articles. All authors of accepted papers (including those who opt out of proceedings) are expected to present their work at the conference.

ACM Publication Policies

  1. By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.

  2. Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start, and we have recently made a commitment to collect ORCID IDs from all of our published authors. The collection process has started and will roll out as a requirement throughout 2022. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.