Communications of the ACM
Latest Research
From Communications of the ACM
Technical Perspective: A Rare Glimpse of Tracking Fake Reviews
"Leveraging Social Media to Buy Fake Reviews," by Sherry He et al., represents a breakthrough in our empirical understanding of fake reviews on Amazon.
From Communications of the ACM
Leveraging Social Media to Buy Fake Reviews
We study the market for fake product reviews on Amazon.com.
From Communications of the ACM
Technical Perspective: Pandemics, Remote Work, and Accessibility
"Mixed Abilities and Varied Experiences: A Group Autoethnography of a Virtual Summer Internship," by Kelly Mack et al., provides guidance on how to make remote...
From Communications of the ACM
Mixed Abilities and Varied Experiences: A Group Autoethnography of a Virtual Summer Internship
Interns, full-time members, and affiliates of a Microsoft Research team focused on accessibility report on the experiences of virtual interns in 2020 navigating...
From Communications of the ACM
Technical Perspective: Opening the Door to SSD Algorithmics
The authors of "Offline and Online Algorithms for SSD Management" propose a more accurate theoretical model of flash-based SSDs that views each page as containing...
From Communications of the ACM
Offline and Online Algorithms for SSD Management
We explore the problem of reducing high internal overhead of flash media which is referred to as write amplification from an algorithmic perspective, considering...
From Communications of the ACM
Technical Perspective: FoundationDB Performs Balancing Act
FoundationDB, as explored in "FoundationDB: A Distributed Key-Value Store," by Jingyu Zhou et al., pioneered the development of a scalable distributed key-value...
From Communications of the ACM
FoundationDB: A Distributed Key-Value Store
FoundationDB, an open-source transactional key-value store, is one of the first systems to combine the flexibility and scalability of NoSQL architectures with the...
From Communications of the ACM
Technical Perspective: The Impact of Auditing for Algorithmic Bias
"Actionable Auditing Revisited," by Inioluwa Deborah Raji and Joy Buolamwini, examines how companies producing commercial facial classification software responded...
From Communications of the ACM
Actionable Auditing Revisited: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products
This paper investigates the commercial impact of Gender Shades, the first algorithmic audit of gender- and skin-type performance disparities in commercial facial...
From Communications of the ACM
Sampling Near Neighbors in Search for Fairness
We propose several efficient data structures for the exact and approximate variants of the fair near neighbor problem.
From Communications of the ACM
Technical Perspective: Can Data Structures Treat Us Fairly?
In "Sampling Near Neighbors in Search for Fairness," Aumüller et al. investigate a basic problem in similarity search called near neighbor in the context of fair...
From Communications of the ACM
Technical Perspective: Visualization Search: From Sketching to Natural Language
"Expressive Querying for Accelerating Visual Analytics," by Tarique Siddiqui et al., provides a general abstraction, along with advanced interfaces, focusing on...
From Communications of the ACM
Expressive Querying for Accelerating Visual Analytics
In this work, we introduce the problem of visualization search and highlight two underlying challenges of search enumeration and visualization matching.
From Communications of the ACM
Technical Perspective: Evaluating Sampled Metrics Is Challenging
"On Sampled Metrics for Item Recommendation," by Walid Krichene and Steffen Rendle, exposes a crucial aspect for the evaluation of algorithms and tools: the impact...
From Communications of the ACM
On Sampled Metrics for Item Recommendation
This paper investigates sampled metrics and shows that it is possible to improve the quality of sampled metrics by applying a correction, obtained by minimizing...
From Communications of the ACM
Technical Perspective: Leveraging Social Context for Fake News Detection
In "FANG," the authors focus on a strategy of automatically detecting disinformation campaigns on online media with a new graph-based, contextual technique for...
From Communications of the ACM
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection.
From Communications of the ACM
Technical Perspective: Exploring Cognitive Bias 'In the Wild'
The authors of "Cognitive Biases in Software Development" rightly highlight the need for situated studies that examine cognitive bias 'in the wild' during software...
From Communications of the ACM