robot with phone 'like' 'like' 'like', illustration - Credit: Poynter

A Decade of Social Bot Detection

In this work, we briefly survey the first decade of research in social bot detection. Via a longitudinal analysis, we discuss the main trends of research in the fight against bots, the major results that were achieved, and the factors that make this never-ending battle so challenging. Capitalizing on lessons learned from our extensive analysis, we suggest possible innovations that could give us the upper hand against deception and manipulation. Studying a decade of endeavors in social bot detection can also inform strategies for detecting and mitigating the effects of other—more recent—forms of online deception, such as strategic information operations and political trolls.

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neurons and lighted background, illustration - Credit: Andrii Vodolazhskyi

Insights for AI from the Human Mind

Much work in evolutionary and developmental psychology points in the same direction; the mind is not one thing, but many.
To build AIs able to comprehend open text or power general-purpose domestic robots, we need to go further. A good place to start is by looking at the human mind, which still far outstrips machines in comprehension and flexible thinking.

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autonomous vehicle identifies pedestrians - Credit: Kollected Studio

Crowdsourcing Moral Machines

“Crowdsourcing Moral Machines” Communications of the ACM, March 2020, Vol. 63 No. 3, Pages 48-55 Contributed Articles By Edmond Awad, Sohan Dsouza, Jean-François Bonnefon, Azim Shariff, Iyad Rahwan We believe that social scientists and computational social scientists have a pivotal …

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Ed Catmull and Pat Hanrahan - Credit: Richard Morgenstein

An Animating Spirit

When Ed Catmull earned his Ph.D. from the University of Utah in 1974, with a thesis on three-dimensional (3D) computer graphics, he applied for jobs in academia. He did not get a single one. His academic interests eventually led him to co-found Pixar Animation Studios, create the breakthrough 1995 animated film Toy Story, and receive the Association for Computing Machinery’s 2019 A.M. Turing Award, along with his colleague Pat Hanrahan.

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