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Technical Perspective: Leveraging Social Context for Fake News Detection
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...

FANG
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.

Technical Perspective: Exploring Cognitive Bias 'In the Wild'
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...

Cognitive Biases in Software Development
From Communications of the ACM

Cognitive Biases in Software Development

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...

Technical Perspective: Model Structure Takes Guesswork Out of State Estimation
From Communications of the ACM

Technical Perspective: Model Structure Takes Guesswork Out of State Estimation

"Worst-Case Topological Entropy and Minimal Data Rate for State Estimation of Switched Linear Systems" gives a method for computing the topological entropy of a...

Worst-Case Topological Entropy and Minimal Data Rate for State Estimation of Switched Linear Systems
From Communications of the ACM

Worst-Case Topological Entropy and Minimal Data Rate for State Estimation of Switched Linear Systems

In this paper, we study the problem of estimating the state of a switched linear system when the observation of the system is subject to communication constraints...

Technical Perspective: Personalized Recommendation of PoIs to People with Autism
From Communications of the ACM

Technical Perspective: Personalized Recommendation of PoIs to People with Autism

"Supporting People with Autism Spectrum Disorders in the Exploration of PoIs" is an example of work that takes seriously the task of supporting a small group that...

Supporting People with Autism Spectrum Disorders in the Exploration of PoIs
From Communications of the ACM

Supporting People with Autism Spectrum Disorders in the Exploration of PoIs: An Inclusive Recommender System

We propose a novel Top-N recommendation model that combines information about an autistic user's idiosyncratic aversions with her/his preferences in a personalized...

Technical Perspective: Neural Radiance Fields Explode on the Scene
From Communications of the ACM

Technical Perspective: Neural Radiance Fields Explode on the Scene

Neural volume rendering exploded onto the scene in 2020, triggered by "NeRF," the impressive paper by Ben Mildenhall et al., on Neural Radiance Fields.

NeRF
From Communications of the ACM

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

We present a method that achieves state-of-the-art results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene...

Technical Perspective: Finding the Sweet Spot Amid Accuracy and Performance
From Communications of the ACM

Technical Perspective: Finding the Sweet Spot Amid Accuracy and Performance

"Multi-Itinerary Optimization as Cloud Service," by Alexandru Cristian et al., makes accessible an end-to-end cloud service that produces traffic-aware, real-time...

Multi-Itinerary Optimization as Cloud Service
From Communications of the ACM

Multi-Itinerary Optimization as Cloud Service

We describe multi-itinerary optimization, a novel Bing Maps service that automates the process of building itineraries for multiple agents while optimizing their...

Technical Perspective: Liquid Testing Using Built-in Phone Sensors
From Communications of the ACM

Technical Perspective: Liquid Testing Using Built-in Phone Sensors

"Liquid Testing with Your Smartphone," by Shichao Yue and Dina Katabi, proposes a novel technique for determining the surface tension of a liquid by leveraging...

Liquid Testing with Your Smartphone
From Communications of the ACM

Liquid Testing with Your Smartphone

We show a simple and accurate approach to measuring surface tension that's available to anyone with a smartphone.

Technical Perspective: The Importance of WINOGRANDE
From Communications of the ACM

Technical Perspective: The Importance of WINOGRANDE

"WINOGRANDE" explores new methods of dataset development and adversarial filtering, expressly designed to prevent AI systems from making claims of smashing through...

WinoGrande
From Communications of the ACM

WinoGrande: An Adversarial Winograd Schema Challenge at Scale

We introduce WinoGrande, a large-scale dataset of 44k problems, inspired by the original Winograd Schema Challenge, but adjusted to improve both the scale and the...

Technical Perspective: eBP Rides the Third Wave of Mobile Health
From Communications of the ACM

Technical Perspective: eBP Rides the Third Wave of Mobile Health

The automated blood pressure wearable system described in "eBP," by Nam Bui et al., is a sterling example of the third wave of mobile health tech to fill the preventative...

eBP
From Communications of the ACM

eBP: An Ear-Worn Device for Frequent and Comfortable Blood Pressure Monitoring

We developed eBP to measure blood pressure from inside a user's ear aiming to minimize the measurement's impact on normal activities while maximizing its comfort...

Technical Perspective: The Quest for Optimal Multi-Item Auctions
From Communications of the ACM

Technical Perspective: The Quest for Optimal Multi-Item Auctions

"Optimal Auctions Through Deep Learning," by Paul Dütting et al., contributes a very interesting and forward-looking new take on the optimal multi-item mechanism...

Optimal Auctions Through Deep Learning
From Communications of the ACM

Optimal Auctions Through Deep Learning

We overview recent research results that show how tools from deep learning are shaping up to become a powerful tool for the automated design of near-optimal auctions...
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