"Leveraging Social Media to Buy Fake Reviews," by Sherry He et al., represents a breakthrough in our empirical understanding of fake reviews on Amazon.
Shreyas Sekar From Communications of the ACM | October 2023
"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...John Richards From Communications of the ACM | August 2023
Interns, full-time members, and affiliates of a Microsoft Research team focused on accessibility report on the experiences of virtual interns in 2020 navigating...Kelly Mack, Maitraye Das, Dhruv Jain, Danielle Bragg, John Tang, Andrew Begel, Erin Beneteau, Josh Urban Davis, Abraham Glasser, Joon Sung Park, Venkatesh Potluri From Communications of the ACM | August 2023
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...Ramesh K. Sitaraman From Communications of the ACM | July 2023
We explore the problem of reducing high internal overhead of flash media which is referred to as write amplification from an algorithmic perspective, considering...Tomer Lange, Joseph (Seffi) Naor, Gala Yadgar From Communications of the ACM | July 2023
FoundationDB, as explored in "FoundationDB: A Distributed Key-Value Store," by Jingyu Zhou et al., pioneered the development of a scalable distributed key-value...Alfons Kemper From Communications of the ACM | June 2023
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...Jingyu Zhou, Meng Xu, Alexander Shraer, Bala Namasivayam, Alex Miller, Evan Tschannen, Steve Atherton, Andrew J. Beamon, Rusty Sears, John Leach, Dave Rosenthal, Xin Dong, Will Wilson, Ben Collins, David Scherer, Alec Grieser, Yang Liu, Alvin Moore, Bhaskar Muppana, Xiaoge Su, Vishesh Yadav From Communications of the ACM | June 2023
"Actionable Auditing Revisited," by Inioluwa Deborah Raji and Joy Buolamwini, examines how companies producing commercial facial classification software responded...Vincent Conitzer, Gillian K. Hadfield, Shannon Vallor From Communications of the ACM | January 2023
This paper investigates the commercial impact of Gender Shades, the first algorithmic audit of gender- and skin-type performance disparities in commercial facial...Inioluwa Deborah Raji, Joy Buolamwini From Communications of the ACM | January 2023
We propose several efficient data structures for the exact and approximate variants of the fair near neighbor problem.
Martin Aumüller, Sariel Har-Peled, Sepideh Mahabadi, Rasmus Pagh, Francesco Silvestri From Communications of the ACM | August 2022
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...Qin Zhang From Communications of the ACM | August 2022
"Expressive Querying for Accelerating Visual Analytics," by Tarique Siddiqui et al., provides a general abstraction, along with advanced interfaces, focusing on...Bill Howe From Communications of the ACM | July 2022
In this work, we introduce the problem of visualization search and highlight two underlying challenges of search enumeration and visualization matching.
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran From Communications of the ACM | July 2022
"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...Fabio Vandin From Communications of the ACM | July 2022
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...Walid Krichene, Steffen Rendle From Communications of the ACM | July 2022
In "FANG," the authors focus on a strategy of automatically detecting disinformation campaigns on online media with a new graph-based, contextual technique for...Philippe Cudré-Mauroux From Communications of the ACM | April 2022
We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection.
Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan From Communications of the ACM | April 2022
The authors of "Cognitive Biases in Software Development" rightly highlight the need for situated studies that examine cognitive bias 'in the wild' during software...Marian Petre From Communications of the ACM | April 2022
We conducted a two-part field study to examine the extent to which cognitive biases occur, the consequences of these biases on developer behavior, and the practices...Souti Chattopadhyay, Nicholas Nelson, Audrey Au, Natalia Morales, Christopher Sanchez, Rahul Pandita, Anita Sarma From Communications of the ACM | April 2022