Todd Pezzuti

Sociology and Political Science · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Sociology and Political Science — 20 citations into it
• Social Psychology — 8 citations into it
• Human-Computer Interaction — 5 citations into it

Whom Todd Pezzuti trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. James W. Pennebaker
2. Andrew F. Hayes
3. Yoon Kim
4. Lane T. Wakefield
5. Robin L. Wakefield
6. Olivier Herrbach
7. Derek D. Rucker
8. Linda D. Hollebeek
9. Ryan L. Boyd
10. Uma R. Karmarkar

Papers from Todd Pezzuti's perspective

Ordered by how strongly the researchers Todd Pezzuti trusts endorse each paper. Same corpus, a different order for every researcher.

1. Convolutional Neural Networks for Sentence Classification
2. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Language Models are Unsupervised Multitask Learners
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook (Management Sciences)

Their papers

• Certainty in Language Increases Consumer Engagement on Social Media (2021) — 114 citations