While trustworthy online spaces benefit everyone, untrustworthy content and behaviour can divide, confuse, and cause real harm. In order to combat this harm, it has become vastly important to understand the scale and nature of untrustworthy online content, as well as methods to combat it. This requires insight from multiple fields of computing, including computational social science, data science, machine learning, human computer interaction, natural language processing, and more.
Given this, we invite submissions of papers on technical solutions for addressing current challenges facing social media platforms to a special issue of the ACM Journal of Data and Information Quality on “Truth and Trust Online”.
The focus of the special issue is on identifying what new problems and technical solutions we need to work on, rather than incremental solutions to what we are doing already.
The following is an indicative list of topics:
- Trustworthiness of COVID-19 news and guidance
- Hate speech
- Online harassment and cyberbullying
- Hyper-partisanship and bias
- Image/video verification
- Fake amplification
- Fake reviews
- Polarization and echo chambers
- Transparency in content and source moderation
- Privacy requirements
The journal will contain some submissions from the TTO 2021 conference, but the call is open to all submissions including those from outside of TTO 2021. Papers should contain novel, previously unpublished material related to the topics of the special issue. Extended manuscripts from TTO 2021 should also contain original content not present in the TTO technical papers they are based on, e.g. additional analyses, methodological considerations, or similar. Selected TTO papers will receive an invitation for extended submissions together with their TTO 2021 acceptance notification.
We invite technical papers of the following types:
• Survey papers: the core focus of the work should be to generate new insights about truth and trust online, rather than the specific method applied (up to 25 pages).
• Methodology papers: should have a core focus on the test of the effectiveness of a proposed method (up to 25 pages).
• Reproduction papers: should provide new insights by presenting a holistic view of a topic, and should try to reproduce results documented in prior work (up to 25 pages).
• Resource papers: should present a new resource, such as a dataset or tool, or an interesting compilation of multiple datasets (up to 15 pages).
• Use case papers: could present new insights about a specific use case, such as an event or a community (up to 15 pages).
JDIQ welcomes manuscripts that extend prior published work, provided they contain at least 30% new material,and that the significant new contributions are clearly identified in the introduction. Submission guidelines with Latex (preferred) or Word templates are available at jdiq.acm.org/authors.cfm#subm
The timeline for submissions is:
– Submission deadline: 15 November 2021
– First notification: 1 February 2022
– Revised manuscripts deadline: 1 April 2022
– Final notification: 1 June 2022
– Camera-ready manuscripts: 1 July 2022
– Estimated publication date: October 2022
Anonymity requirements: papers will be subject to single-blind reviewing by three reviewers. Please submit anonymous manuscripts that do not contain information that identifies the authors or their organization.
• Isabelle Augenstein, University of Copenhagen (Denmark)
• Paolo Papotti, EURECOM (France)
• Dustin Wright, University of Copenhagen (Denmark)