Daniel A. McFarland

According to our database, Daniel A. McFarland authored at least 28 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Network ecology: Tie fitness in social context(s).

Malte Doehne, Daniel A. McFarland, James Moody

Soc. Networks, January, 2024

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews.

Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou

CoRR, 2024

2023

The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices.

Hancheng Cao, Jesse Dodge, Kyle Lo, Daniel A. McFarland, Lucy Lu Wang

CoRR, 2023

Can large language models provide useful feedback on research papers? A large-scale empirical analysis.

Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Scott Smith, Yian Yin, Daniel A. McFarland, James Zou

CoRR, 2023

Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research.

Hancheng Cao, Yujie Lu, Yuting Deng, Daniel A. McFarland, Michael S. Bernstein

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies.

Raymond Zhang, Neha Nayak Kennard, Daniel Scott Smith, Daniel A. McFarland, Andrew McCallum, Katherine Keith

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Writing into relationships.

Daniel A. McFarland, Tom Wolff

Soc. Networks, 2022

Systematic analysis of 50 years of Stanford University technology transfer and commercialization.

Weixin Liang, Scott Elrod, Daniel A. McFarland, James Zou

Patterns, 2022

Bayesian mixed-effect models for independent dynamic social network data.

Fabio Vieira, Roger Th. A. J. Leenders, Daniel A. McFarland, Joris Mulder

CoRR, 2022

2020

Mapping Three Decades of Intellectual Change in Academia.

Daniel Ramage, Christopher D. Manning, Daniel A. McFarland

CoRR, 2020

Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora.

Hancheng Cao, Mengjie Cheng, Zhepeng Cen, Daniel A. McFarland, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Diversity Breeds Innovation With Discounted Impact and Recognition.

Bas Hofstra, Sebastian Munoz-Najar Galvez, Bryan He, Vivek V. Kulkarni, Daniel A. McFarland

CoRR, 2019

2018

Measuring the Evolution of a Scientific Field through Citation Frames.

David Jurgens, Srijan Kumar, Raine Hoover, Daniel A. McFarland, Dan Jurafsky

Trans. Assoc. Comput. Linguistics, 2018

2017

Modeling Affinity based Popularity Dynamics.

Minkyoung Kim, Daniel A. McFarland, Jure Leskovec

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Citation Classification for Behavioral Analysis of a Scientific Field.

David Jurgens, Srijan Kumar, Raine Hoover, Daniel A. McFarland, Dan Jurafsky

CoRR, 2016

Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing.

Vinodkumar Prabhakaran, William L. Hamilton, Daniel A. McFarland, Dan Jurafsky

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Big Data and the danger of being precisely inaccurate.

Daniel A. McFarland, H. Richard McFarland

Big Data Soc., December, 2015

2014

The Semiformal Organization.

Susan Biancani, Daniel A. McFarland, Linus Dahlander

Organ. Sci., 2014

2013

Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates.

Rajesh Ranganath, Dan Jurafsky, Daniel A. McFarland

Comput. Speech Lang., 2013

2012

Measurement error in network data: A re-classification.

Dan J. Wang, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec

Soc. Networks, 2012

Towards a Computational History of the ACL: 1980-2008.

Ashton Anderson, Dan Jurafsky, Daniel A. McFarland

Proceedings of the Special Workshop on Rediscovering 50 Years of Discoveries@ACL 2012, 2012

2011

TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents.

Ramesh Nallapati, Daniel A. McFarland, Christopher D. Manning

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model.

Nikhil Johri, Daniel Ramage, Daniel A. McFarland, Daniel Jurafsky

Proceedings of the 5th ACL Workshop on Language Technology for Cultural Heritage, 2011

LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets.

Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

2010

Citing for high impact.

Xiaolin Shi, Jure Leskovec, Daniel A. McFarland

Proceedings of the 2010 Joint International Conference on Digital Libraries, 2010

2009

Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation.

Daniel Jurafsky, Rajesh Ranganath, Daniel A. McFarland

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates.

Rajesh Ranganath, Daniel Jurafsky, Daniel A. McFarland

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2006

The Art and Science of Dynamic Network Visualization.

Skye Bender-deMoll, Daniel A. McFarland

J. Soc. Struct., 2006