Jason Hong considers how computer scientists, technologists could help guide regulation of the social media giant.
Computing Applications
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A focus on causality is promising to help researchers overcome shortcomings that have bedeviled more traditional approaches to artificial intelligence.
Artificial Intelligence, Machine Learning, and the Fight Against World Hunger
Advancements in AI, machine learning, and next-gen technologies are transforming the fight against world hunger.
Is Your Autonomous Vehicle as Smart as You Expected?
Suggesting a better route to evaluate autonomous vehicles' smartness.
A Brave New World of Mediated Online Discourse
Is artificial intelligence up to the task of managing online discourse in social networks?
How Topic Novelty Impacts the Effectiveness of News Veracity Interventions
Can algorithmic advice override preconceived notions and the believability of fake news?
Reimagining Chess with AlphaZero
AI is driving the next evolution of chess, giving players a glimpse into the game's future.
Abstractions, Their Algorithms, and Their Compilers
Jeffrey D. Ullman and Alfred V. Aho are recipients of the 2020 ACM A.M. Turing award. They were recognized for creating fundamental algorithms and theory underlying programming language implementation and for synthesizing these results and those of others in their highly influential books, which educated generations of computer scientists.
Preserving Integrity in Online Social Networks
The recent progress and ongoing problems of keeping online platforms and their users safe from malicious activities.
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 is not well served by existing recommender systems.
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.
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 way.
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 broad class of systems called switched linear systems.
FBI agents Saskia Lipcott and Dinah Carter are forced to deal with Dupin, the agency's rogue crime-fighting computer that is out to get them.
Reflection Pre-learning in Computer Science Courses
Our experience with reflection pre-learning in a MOOC on computational thinking that we developed and currently teach.
Log4j and the Thankless High-Risk Task of Managing Software Component Upgrades
Managing included versions of third-party software components too often puts developers in no-win situations.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
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