Results 61 to 70 of about 1,143,821 (400)
Motives to use Facebook and problematic Facebook use in adolescents [PDF]
Journal of Behavioral Addictions, 2018 Background and aims There is a growing body of evidence suggesting that problematic Facebook use (PFU) is an emerging problem, particularly among adolescents. Although a number of motivations explaining why people engage in frequent Facebook use have been identified, less is known about the specific psychological needs underlying ...
Gabriele Caselli +5 more
openaire +4 more sources
User Data Privacy: Facebook, Cambridge Analytica, and Privacy Protection
Computer, 2018 With the revelation that Facebook handed over personally identifiable information of more than 87 million users to Cambridge Analytica, it is now imperative that comprehensive privacy policy laws be developed.
J. Isaak, M. Hanna
semanticscholar +1 more source
When can overambitious seeding cost you?
Applied Network Science, 2019 In the classic “influence-maximization” (IM) problem, people influence one another to adopt a product and the goal is to identify people to “seed” with the product so as to maximize long-term adoption.
Shankar Iyer, Lada A. Adamic
doaj +1 more source
Advanced Modeling and Simulation in Engineering Sciences, 2021 Although projection-based reduced-order models (ROMs) for parameterized nonlinear dynamical systems have demonstrated exciting results across a range of applications, their broad adoption has been limited by their intrusivity: implementing such a reduced-
Zhe Bai, Liqian Peng
doaj +1 more source
A Hitchhiker’s Guide to Structural Similarity
IEEE Access, 2021 The Structural Similarity (SSIM) Index is a very widely used image/video quality model that continues to play an important role in the perceptual evaluation of compression algorithms, encoding recipes and numerous other image/video processing algorithms.
Abhinau K. Venkataramanan +4 more
doaj +1 more source
Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook
Management Sciences, 2017 We describe the effect of social media advertising content on customer engagement using data from Facebook. We content-code 106,316 Facebook messages across 782 companies, using a combination of Amazon Mechanical Turk and natural language processing ...
Dokyun Lee +2 more
semanticscholar +1 more source
The Architectural Implications of Facebook's DNN-Based Personalized Recommendation [PDF]
International Symposium on High-Performance Computer Architecture, 2019 The widespread application of deep learning has changed the landscape of computation in data centers. In particular, personalized recommendation for content ranking is now largely accomplished using deep neural networks. However, despite their importance
Udit Gupta +14 more
semanticscholar +1 more source
Facebook surveillance of former romantic partners: Associations with post-breakup recovery and personal growth [PDF]
, 2012 Copyright @ 2012 Mary Ann Liebert, Inc.This article has been made available through the Brunel Open Access Publishing Fund.Previous research has found that continuing offline contact with an ex-romantic partner following a breakup may disrupt emotional ...
Bowe G +4 more
core +1 more source
Political Science Research and Methods, 2018 This article examines online recruitment via Facebook, Mechanical Turk (MTurk), and Qualtrics panels in India and the United States. It compares over 7300 respondents—1000 or more from each source and country—to nationally representative benchmarks in ...
Taylor C. Boas +2 more
semanticscholar +1 more source
3D printable tough silicone double networks
Nature Communications, 2020 Additive manufacturing processing requirements pose restrictions on materials and joining chemically dissimilar components. Here the authors use silicone double networks that participate in orthogonal crosslinking mechanisms for independent control of ...
Thomas J. Wallin +6 more
doaj +1 more source