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Social Media Algorithms

9781779564207
pages
Arcler Education Inc
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Overview
Social media algorithms are the engines that curate content, personalize user experiences, and drive engagement on platforms. This book explores the mechanisms behind algorithm design, including machine learning, recommendation systems, and ethical considerations. It examines the societal impact of algorithms, from spreading misinformation to shaping public opinion. An essential resource for students, researchers, and professionals, this book offers a comprehensive overview of the science and implications of social media algorithms.
Author Bio
Adele Kuzmiakova is a machine learning engineer working at the intersection of machine learning, computer vision, and natural language processing. Adele attended Cornell University in New York, United States for her undergraduate studies. She studied engineering with a focus on applied math. Some of the deep learning problems Adele worked on include predicting air quality from public webcams, developing a real-time human movement tracking, using 3D computer vision to create 3D avatars from selfies in order to bring online clothes shopping closer to reality, and creating visual stories and photobooks from photos on mobile devices. She is also passionate about exchanging ideas and inspiring other people and acted as a workshop organizer at Women in Data Science conference in Geneva, Switzerland in 2022 and 2023.

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