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ORCIDDaniel A. McFarland
Person information
- affiliation: School of Education, Stanford University
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2020 – today
- 2024
[j13]Malte Doehne
, Daniel A. McFarland, James Moody:
Network ecology: Tie fitness in social context(s). Soc. Networks 76: 174-190 (2024)- [j12]Malte Doehne, Daniel A. McFarland, James Moody:
Network Ecology: Introduction to the Special Issue. Soc. Networks 77: 1-4 (2024) - [j11]Lanu Kim, Sanne Smith, Linus Dahlander, Daniel A. McFarland:
Networking a career: Individual adaptation in the network ecology of faculty. Soc. Networks 77: 166-179 (2024) - [j10]Malte Doehne, Daniel A. McFarland, James Moody:
Network ecology: Tie fitness in social context(s). Soc. Networks 77: 180-196 (2024) - [j9]Daniel A. McFarland, David Broska, Vinodkumar Prabhakaran, Dan Jurafsky:
Coming into relations: How communication reveals and persuades relational decisions. Soc. Networks 79: 57-75 (2024) - [c13]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:
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. ICML 2024 - [i10]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:
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. CoRR abs/2403.07183 (2024) - 2023
- [c12]Raymond Zhang, Neha Nayak Kennard, Daniel Scott Smith, Daniel A. McFarland, Andrew McCallum, Katherine Keith:
Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies. ACL (Findings) 2023: 1284-1297 - [c11]Hancheng Cao, Yujie Lu, Yuting Deng, Daniel A. McFarland, Michael S. Bernstein:
Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research. CHI 2023: 760:1-760:24 - [i9]Hancheng Cao, Yujie Lu, Yuting Deng, Daniel A. McFarland, Michael S. Bernstein:
Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research. CoRR abs/2301.13431 (2023) - [i8]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:
Can large language models provide useful feedback on research papers? A large-scale empirical analysis. CoRR abs/2310.01783 (2023) - [i7]Hancheng Cao, Jesse Dodge, Kyle Lo, Daniel A. McFarland, Lucy Lu Wang:
The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices. CoRR abs/2310.03193 (2023) - 2022
- [j8]Weixin Liang, Scott Elrod, Daniel A. McFarland, James Zou:
Systematic analysis of 50 years of Stanford University technology transfer and commercialization. Patterns 3(9): 100584 (2022) - [j7]Daniel A. McFarland, Tom Wolff:
Writing into relationships. Soc. Networks 71: 96-114 (2022) - [i6]Fabio Vieira, Roger Th. A. J. Leenders, Daniel A. McFarland, Joris Mulder:
Bayesian mixed-effect models for independent dynamic social network data. CoRR abs/2204.10676 (2022) - 2020
- [c10]Hancheng Cao, Mengjie Cheng, Zhepeng Cen, Daniel A. McFarland, Xiang Ren:
Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora. EMNLP (Findings) 2020: 1746-1757 - [i5]Daniel Ramage, Christopher D. Manning, Daniel A. McFarland:
Mapping Three Decades of Intellectual Change in Academia. CoRR abs/2004.01291 (2020) - [i4]Hancheng Cao, Mengjie Cheng, Zhepeng Cen, Daniel A. McFarland, Xiang Ren:
Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora. CoRR abs/2010.06657 (2020)
2010 – 2019
- 2019
- [i3]Bas Hofstra, Sebastian Munoz-Najar Galvez, Bryan He, Vivek V. Kulkarni, Daniel A. McFarland:
Diversity Breeds Innovation With Discounted Impact and Recognition. CoRR abs/1909.02063 (2019) - 2018
- [j6]David Jurgens, Srijan Kumar, Raine Hoover, Daniel A. McFarland, Dan Jurafsky:
Measuring the Evolution of a Scientific Field through Citation Frames. Trans. Assoc. Comput. Linguistics 6: 391-406 (2018) - 2017
- [c9]Minkyoung Kim, Daniel A. McFarland, Jure Leskovec:
Modeling Affinity based Popularity Dynamics. CIKM 2017: 477-486 - 2016
- [c8]Vinodkumar Prabhakaran, William L. Hamilton, Daniel A. McFarland, Dan Jurafsky:
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. ACL (1) 2016 - [i2]David Jurgens, Srijan Kumar, Raine Hoover, Daniel A. McFarland, Dan Jurafsky:
Citation Classification for Behavioral Analysis of a Scientific Field. CoRR abs/1609.00435 (2016) - 2015
- [j5]Daniel A. McFarland, H. Richard McFarland:
Big Data and the danger of being precisely inaccurate. Big Data Soc. 2(2): 205395171560249 (2015) - [e2]Luca Maria Aiello, Daniel A. McFarland:
Social Informatics - SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8852, Springer 2015, ISBN 978-3-319-15167-0 [contents] - 2014
- [j4]Susan Biancani, Daniel A. McFarland, Linus Dahlander:
The Semiformal Organization. Organ. Sci. 25(5): 1306-1324 (2014) - [e1]Luca Maria Aiello, Daniel A. McFarland:
Social Informatics - 6th International Conference, SocInfo 2014, Barcelona, Spain, November 11-13, 2014. Proceedings. Lecture Notes in Computer Science 8851, Springer 2014, ISBN 978-3-319-13733-9 [contents] - 2013
- [j3]Rajesh Ranganath, Dan Jurafsky, Daniel A. McFarland:
Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates. Comput. Speech Lang. 27(1): 89-115 (2013) - 2012
- [j2]Dan J. Wang, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec:
Measurement error in network data: A re-classification. Soc. Networks 34(4): 396-409 (2012) - [c7]Ashton Anderson, Dan Jurafsky, Daniel A. McFarland:
Towards a Computational History of the ACL: 1980-2008. Discoveries@ACL 2012: 13-21 - 2011
- [c6]Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky:
LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. ICWSM 2011 - [c5]Nikhil Johri, Daniel Ramage, Daniel A. McFarland, Daniel Jurafsky:
A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model. LaTeCH@ACL 2011: 124-132 - [c4]Ramesh Nallapati, Daniel A. McFarland, Christopher D. Manning:
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents. AISTATS 2011: 543-551 - 2010
- [c3]Xiaolin Shi, Jure Leskovec, Daniel A. McFarland:
Citing for high impact. JCDL 2010: 49-58 - [i1]Xiaolin Shi, Jure Leskovec, Daniel A. McFarland:
Citing for High Impact. CoRR abs/1004.3351 (2010)
2000 – 2009
- 2009
- [c2]Rajesh Ranganath, Daniel Jurafsky, Daniel A. McFarland:
It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates. EMNLP 2009: 334-342 - [c1]Daniel Jurafsky, Rajesh Ranganath, Daniel A. McFarland:
Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation. HLT-NAACL 2009: 638-646 - 2006
- [j1]Skye Bender-deMoll, Daniel A. McFarland:
The Art and Science of Dynamic Network Visualization. J. Soc. Struct. 7 (2006)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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