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Volume 11, Issue 3September 2019Special Issue on Combating Digital Misinformation and Disinformation and On the Horizon
Editor:
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
ISSN:1936-1955
EISSN:1936-1963
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SECTION: Special Issue on Combating Digital Misinformation and Disinformation
research-article
The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans
Article No.: 10, Pages 1–37https://doi.org/10.1145/3309699

A new era of Information Warfare has arrived. Various actors, including state-sponsored ones, are weaponizing information on Online Social Networks to run false-information campaigns with targeted manipulation of public opinion on specific topics. These ...

research-article
Public Access
Content-Aware Trust Propagation Toward Online Review Spam Detection
Article No.: 11, Pages 1–31https://doi.org/10.1145/3305258

With the increasing popularity of online review systems, a large volume of user-generated content becomes available to help people make reasonable judgments about the quality of services and products from unknown providers. However, these platforms are ...

research-article
Automatic Fact-Checking Using Context and Discourse Information
Article No.: 12, Pages 1–27https://doi.org/10.1145/3297722

We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information. We address two related tasks: (i) detecting check-worthy claims and (ii) fact-checking claims. We develop supervised systems ...

research-article
Public Access
Discovering Patterns for Fact Checking in Knowledge Graphs
Article No.: 13, Pages 1–27https://doi.org/10.1145/3286488

This article presents a new framework that incorporates graph patterns to support fact checking in knowledge graphs. Our method discovers discriminant graph patterns to construct classifiers for fact prediction. First, we propose a class of graph fact ...

research-article
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News
Article No.: 14, Pages 1–26https://doi.org/10.1145/3287763

Fake news is nowadays an issue of pressing concern, given its recent rise as a potential threat to high-quality journalism and well-informed public discourse. The Fake News Challenge (FNC-1) was organized in early 2017 to encourage the development of ...

SECTION: On the Horizon
research-article
Public Access
Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation
Article No.: 15, Pages 1–9https://doi.org/10.1145/3310231

The data revolution continues to transform every sector of science, industry, and government. Due to the incredible impact of data-driven technology on society, we are becoming increasingly aware of the imperative to use data and algorithms responsibly—...

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