Su Lin Blodgett

762 total citations
23 papers, 230 citations indexed

About

Su Lin Blodgett is a scholar working on Artificial Intelligence, Information Systems and Safety Research. According to data from OpenAlex, Su Lin Blodgett has authored 23 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Safety Research. Recurrent topics in Su Lin Blodgett's work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Hate Speech and Cyberbullying Detection (5 papers). Su Lin Blodgett is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Hate Speech and Cyberbullying Detection (5 papers). Su Lin Blodgett collaborates with scholars based in United States, United Kingdom and Canada. Su Lin Blodgett's co-authors include Hanna Wallach, Alexandra Olteanu, Robert B. Sim, Brendan O’Connor, Johnny Tian-Zheng Wei, Hal Daumé, Solon Barocas, Morgan Klaus Scheuerman, Adam Trischler and Angelina Wang and has published in prestigious journals such as Nature, Proceedings of the ACM on Human-Computer Interaction and NPARC.

In The Last Decade

Su Lin Blodgett

19 papers receiving 226 citations

Peers

Countries citing papers authored by Su Lin Blodgett

Since Specialization

Citations

This map shows the geographic impact of Su Lin Blodgett's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Su Lin Blodgett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Lin Blodgett more than expected).

Fields of papers citing papers by Su Lin Blodgett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Lin Blodgett. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Su Lin Blodgett. The network helps show where Su Lin Blodgett may publish in the future.

Co-authorship network of co-authors of Su Lin Blodgett

This figure shows the co-authorship network connecting the top 25 collaborators of Su Lin Blodgett. A scholar is included among the top collaborators of Su Lin Blodgett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Su Lin Blodgett. Su Lin Blodgett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Dehumanizing Machines: Mitigating Anthropomorphic Behaviors in Text Generation Systems 2025 ·(unknown), Su Lin Blodgett, (unknown), (unknown), Alexandra Olteanu	2
2	Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP 2024 ·(unknown), (unknown), Debora Nozza, Su Lin Blodgett, Zeerak Talat	1
3	ECBD: Evidence-Centered Benchmark Design for NLP 2024 ·(unknown), Su Lin Blodgett, Jackie Chi Kit Cheung, (unknown), Alexandra Olteanu, Ziang Xiao	1
4	“One-Size-Fits-All”? Examining Expectations around What Constitute “Fair” or “Good” NLG System Behaviors 2024 ·Li Lucy, Su Lin Blodgett, Milad Shokouhi, Hanna Wallach, Alexandra Olteanu	0
5	LLMs produce racist output when prompted in African American English 2024 ·Nature ·Su Lin Blodgett, Zeerak Talat	0
6	The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels 2024 ·(unknown), Su Lin Blodgett, Dan Klein, Zeerak Talat	2
7	Understanding the Impacts of Language Technologies’ Performance Disparities on African American Language Speakers 2024 ·(unknown), Su Lin Blodgett, Michael P. Madaio, Hal Daumé, Christina A. Harrington, Hanna Wallach	5
8	This prompt is measuring <mask>: evaluating bias evaluation in language models 2023 ·NPARC ·(unknown), (unknown), (unknown), Su Lin Blodgett	3
9	FairPrism: Evaluating Fairness-Related Harms in Text Generation 2023 ·(unknown), (unknown), (unknown), Su Lin Blodgett, Hal Daumé, Alexandra Olteanu, Emily Sheng, (unknown), Hanna Wallach	5
10	It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance 2023 ·(unknown), Xingdi Yuan, Hal Daumé, Su Lin Blodgett	2
11	Taxonomizing and Measuring Representational Harms: A Look at Image Tagging 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, (unknown), Hanna Wallach, Solon Barocas	12
12	Responsible AI Considerations in Text Summarization Research: A Review of Current Practices 2023 ·(unknown), Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler	2
13	Responsible AI Considerations in Text Summarization Research: A Review of Current Practices 2023 ·arXiv (Cornell University) ·(unknown), Meng Cao, Su Lin Blodgett, (unknown), Alexandra Olteanu, Adam Trischler	0
14	Examining Political Rhetoric with Epistemic Stance Detection 2022 ·Ankita Gupta, Su Lin Blodgett, Justin H. Gross, Brendan O’Connor	0
15	Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews 2022 ·(unknown), (unknown), (unknown), (unknown), Su Lin Blodgett, Nicholas Diakopoulos, Jessica Hullman, Tina Eliassi‐Rad	6
16	Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications 2022 ·Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé, Kaheer Suleman, Alexandra Olteanu	12
17	Responsible Language Technologies: Foreseeing and Mitigating Harms 2022 ·CHI Conference on Human Factors in Computing Systems Extended Abstracts ·Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, Rada Mihalcea, Michael Müller, Morgan Klaus Scheuerman, (unknown), Qian Yang	14
18	Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets 2021 ·Su Lin Blodgett, (unknown), Alexandra Olteanu, Robert B. Sim, Hanna Wallach	96
19	The meaning and measurement of bias 2020 ·Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé, Hanna Wallach	12
20	A Dataset and Classifier for Recognizing Social Media English 2017 ·Su Lin Blodgett, Johnny Tian-Zheng Wei, Brendan O’Connor	7

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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