Interesting and timely CFP... -J
---------- Forwarded message ---------- From: Tiziana Catarci, ACM JDIQ Editor-in-Chief pubs@acm.org Date: Fri, Nov 17, 2017 at 8:00 AM Subject: JDIQ Call for Papers: Special issue on Combating Digital Misinformation and Disinformation To: jmorgan@wikimedia.org
ACM Journal of Data and Information Quality
*Special issue on Combating Digital Misinformation and Disinformation*
Guest Editors Naeemul Hassan, University of Mississippi Chengkai Li, University of Texas at Arlington Jun Yang, Duke University Cong Yu, Google Research
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*Context* Spread of misinformation and disinformation is one of the most serious challenges facing the news industry, and a threat to democratic societies worldwide. The problem has reached an unprecedented level via social media, where contents can be created and disseminated to a large audience with little to zero cost, and revenues are driven by click-through rates. Researchers from multiple disciplines have proposed various strategies, built automated and semi-automated systems, and recommended policy changes across the media ecosystem. Recently, researchers have also explored how artificial intelligence techniques, particularly machine learning and natural language processing, can be leveraged to combat falsehoods online.
In this special issue of JDIQ, we aspire to provide an overview of innovative research primarily at the intersection of information credibility, machine learning, and data science, from theory to practice, with a focus on combating misinformation and disinformation.
*Topics* Specific topics within the scope of the call include, but are not limited to, the following:
- Automated question-answering for fact-checking - Crowdsourced fact-checking - Data collection, labeling and extraction for fact-checking - Detection of fake-news spreading social bots - Knowledge bases for fact-checking - Models and methods for tracking the propagation and derivation of online data - Multi-modal deception detection - Natural language processing approaches to fact checking - Role of AI agents in fake news propagation - Role of metadata and provenance management in assessing veracity of online information - Semantic parsing and verification of fake news - Sustainable fact-checking framework - Techniques to detect and limit misinformation and disinformation in social media - Truth discovery from structured and unstructured data
*Expected contributions:* We welcome two types of contributions:
- Research manuscripts reporting mature results (up to 25 pages) - Experience papers that report on lessons learned from addressing specific issues within the scope of the call. These papers should be of interest to the broad data quality community. (12+ pages plus an optional appendix)
*Important dates and timeline:* Initial submission: April 1, 2018 First review: July 1, 2018 Revised manuscripts: September 1, 2018 Second review: November 1, 2018 Camera-ready manuscripts: January 10, 2019 Publication: April 1, 2019
For further information and author instructions please visit jdiq.acm.org https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-1808ax3137cfx09698&, or contact Paolo Missier paolo.missier@newcastle.ac.uk or Naeemul Hassan nhassan@olemiss.edu.
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