Filippo Menczer
Statistical and Nonlinear Physics · International Conference on Web and Social Media · 2000–2019
A researcher in the Science corpus: 28 papers; trusts 85 researchers and is trusted by 59 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 225 citations into it; #993 of 10,127 by trust here, #213 by citations
- Sociology and Political Science — 169 citations into it; #1,030 of 22,756 by trust here, #195 by citations
- Artificial Intelligence — 118 citations into it; #6,696 of 35,345 by trust here, #3,957 by citations
- Information Systems — 114 citations into it; #417 of 8,771 by trust here, #112 by citations
- Communication — 59 citations into it; #482 of 3,460 by trust here, #67 by citations
- Social Sciences & Humanities — 32 citations into it
- Natural Language Processing — 29 citations into it; #4,617 of 5,688 by trust here, #4,601 by citations
- Computer Vision and Pattern Recognition — 27 citations into it
Whom Filippo Menczer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Emilio Ferrara
- Damon Centola
- Duncan J. Watts
- Lada A. Adamic
- Jacob Ratkiewicz
- Santo Fortunato
- Jure Leskovec
- Michael D. Conover
- Alessandro Flammini
Who trusts Filippo Menczer overall
- Adam Badawy
- Emilio Ferrara
- David M. Beskow
- Kai-Cheng Yang
- Huan Liu
- Kristina Lerman
- Onur Varol
- Alessandro Flammini
- Dimitar Nikolov
- Giovanni Luca Ciampaglia
Papers from Filippo Menczer's perspective
Ordered by how strongly the researchers Filippo Menczer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Et al
- Human-level control through deep reinforcement learning
- Gradient-based learning applied to document recognition
- Latent Dirichlet Allocation
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Detecting and Tracking Political Abuse in Social Media (2011) — 645 citations
- Computational Fact Checking from Knowledge Networks (2015) — 477 citations
- The science of fake news (2018) — 3,794 citations
- Truthy: mapping the spread of astroturf in microblog streams (2010) — 508 citations
- BotOrNot: A System to Evaluate Social Bots (2016) — 923 citations
- The rise of social bots (2014) — 2,064 citations
- The spread of low-credibility content by social bots (2017) — 1,210 citations
- Partisan asymmetries in online political activity (2012) — 322 citations
- Competition among memes in a world with limited attention (2012) — 831 citations
- Online Human-Bot Interactions: Detection, Estimation, and Characterization (2017) — 1,106 citations
- Hoaxy: A Platform for Tracking Online Misinformation (2016) — 413 citations
- The DARPA Twitter Bot Challenge (2016) — 408 citations
- Measuring Online Social Bubbles (2015) — 200 citations
- First Women, Second Sex: Gender Bias in Wikipedia (2015) — 117 citations
- Virality Prediction and Community Structure in Social Networks (2013) — 666 citations
- Arming the public with artificial intelligence to counter social bots (2019) — 412 citations
- Topical interests and the mitigation of search engine bias (2005) — 136 citations
- Scale-free network growth by ranking. (2006) — 135 citations
- Quantifying Biases in Online Information Exposure (2018) — 97 citations
- Scalable and Generalizable Social Bot Detection through Data Selection (2019) — 411 citations