Specializations
- Social Networks
- Causal Inference
- Computational Computer Science
Research Areas
Courses
- IMT 573 - Data Science I: Theoretical Foundations
Biography
Martin Saveski is an Assistant Professor at the University of Washington Information School. His research develops tools for analyzing large-scale social data, aiming to provide a better understanding of social structure and behaviors online while also impacting the design of digital social systems. His recent work has focused on reducing political polarization online, improving the quality of online conversations, and causal inference in social systems. His research often falls at the intersections of Social Networks, Machine Learning, and Causal Inference. His work typically appears in venues such as ICWSM, WWW, and KDD, and has included collaborations with researchers at Twitter, Facebook, and LinkedIn. His research has been awarded a best paper honorable mention at WWW ’18 and has been featured in popular media outlets, including The New York Times, NPR, and the MIT Tech Review.
Education
- Postdoctoral Scholar, Management Science & Engineering, Stanford University, 2023
- Ph D, Media Arts and Sciences, Massachusetts Institute of Technology, 2020
- MSC, Data Mining and Knowledge Management, University Pierre and Marie Curie & Polytechnic University of Catalonia, 2013
- BSC, Computing Science, Staffordshire University, 2010
Awards
- Best Reviewer - ICWSM: International Conference on Web and Social Media, 2021
- Rising Star in Data Science - University of Chicago Rising Stars, 2021
- Best Reviewer - ICWSM: International Conference on Web and Social Media, 2019
- Best Paper Honorable Mention - WWW: The Web Conference, 2018
- Scholarship - European Union full scholarship for a two-year Master’s Degree, 2011-2013
- Scholarship - Macedonian national scholarship for students with advanced achievements, 2008-2010
Publications and Contributions
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Journal Article, Professional JournalEmbedding Societal Values into Social Media Algorithms (2023)Journal of Online Trust and Safety, 2(1), pp. 1-13
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Conference PaperCounterfactual Evaluation of Peer Review Assignment Strategies in Computer Science and Artificial Intelligence (2022)International Congress on Peer Review and Scientific Publication, Peer Review Congress’22
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Conference PaperEngaging Politically Diverse Audiences on Social Media (2022)International Conference on Web and Social Media, ICWSM’22a
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Conference PaperPerspective-taking to Reduce Affective Polarization on Social Media (2022)International Conference on Web and Social Media, ICWSM’22b
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Journal Article, Academic JournalAlgorithmic and Human Prediction of Success in Human Collaboration From Visual Features (2021)Nature Scientific Reports, Nature Scientific Reports’21
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Conference PaperBalanced Influence Maximization in the Presence of Homophily (2021)International Conference on Web Search and Data Mining, WSDM'21
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Conference PaperSocial Catalysts: Characterizing People Who Spark Conversations Among Others (2021)Conference on Computer-Supported Cooperative Work and Social Computing, CSCW'21
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Conference PaperThe Structure of Toxic Conversations on Twitter (2021)The Web Conference, WWW'21
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Conference PaperTesting for Arbitrary Interference on Experimentation Platforms (2019)Biometrika, Biometrika’19
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Conference PaperMe, My Echo Chamber, and I: Introspection on Social Media Polarization (2018)The Web Conference, WWW’18
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Conference PaperDetecting Network Effects: Randomizing Over Randomized Experiments (2017)International Conference on Knowledge Discovery and Data Mining, KDD'17
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Conference PaperHuman Atlas: A Tool for Mapping Social Networks (2016)The Web Conference, WWW'16
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Conference PaperTopic Modeling in Twitter: Aggregating Tweets by Conversations (2016)International Conference on Web and Social Media, ICWSM'16
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Conference PaperTracking the Yak: An Empirical Study of Yik Yak (2016)International Conference on Web and Social Media, ICWSM'16
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Conference PaperOne-Pass Ranking Models for Low-Latency Product Recommendations (2015)International Conference on Knowledge Discovery and Data Mining, KDD'15
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Conference PaperItem Cold-Start Recommendations: Learning Local Collective Embeddings (2014)Conference on Recommender Systems, RecSys'14
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Conference PaperThe Geography of Online News Engagement (2014)International Conference on Social Informatics, Socinfo'14
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Conference PaperJoint Semi-supervised Learning of Hidden Conditional Random Fields and Hidden Markov Models (2013)Pattern Recognition Letters, Pattern Recognition Letters’13
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Conference PaperAutomatic Construction of Wordnets by Using Machine Translation and Language Modeling (2010)Language Technologies Conference, LTC’10
Presentations
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Data Science for Healthier Social Platforms
(2022)
University of Washington (iSchool) - Seattle, WA
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Data Science for Healthier Social Platforms
(2022)
Carnegie Mellon University (Heinz) - Pittsburgh, PA
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Data Science for Healthier Social Platforms
(2022)
University of Illinois Chicago (CS) - Chicago, IL
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Data Science for Healthier Social Platforms
(2022)
Dartmouth College (CS) - Hanover, NH
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Data Science for Healthier Social Platforms
(2022)
Cornell University (IS) - Ithaca, NY
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Data Science for Healthier Social Platforms
(2022)
University of Illinois Chicago (CS) - Urbana-Champaign, IL
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Data Science for Healthier Social Platforms
(2022)
Georgia Institute of Technology (CSE) - Atlanta, GA
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Engaging Politically Diverse Audiences on Social Media
(2022)
Social AIs working group, Stanford University - Palo Alto, CA
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Counterfactual Evaluation of Peer-Review Assignment Strategies
(2021)
Conference on Digital Experimentation, MIT (CODE@MIT) - Cambridge, MA
-
Engaging Politically Diverse Audiences on Social Media
(2021)
Rising Stars in Data Science, University of Chicago - Chicago, IL
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Engaging Politically Diverse Audiences on Social Media
(2021)
Institute for Communication and Media Studies, University of Bern - Bern, Switzerland
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Engaging Politically Diverse Audiences on Social Media
(2021)
Computer Science, Carnegie Mellon University - Pittsburgh, PA
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Engaging Politically Diverse Audiences on Social Media
(2021)
International Conference on Computational Social Science (IC2S2) - Virtual
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Polarization and Toxicity in Political Discourse
(2020)
Twitter - Virtual
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The Structure of Toxic Conversations
(2020)
Computational Social Science Seminar, Facebook - Virtual
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The Structure of Toxic Conversations
(2019)
Social Analytics Lab, MIT Sloan - Cambridge, MA
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The Structure of Toxic Conversations
(2019)
Health, Usage and Behavior team, Twitter - Virtual
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Detecting Network Effects: Randomizing Over Randomized Experiments
(2018)
International Conference on Computational Social Science (IC2S2) - Evanston, IL
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Detecting Network Effects: Randomizing Over Randomized Experiments
(2017)
Scalable Cooperation Group, MIT - Cambridge, MA
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Detecting Network Effects: Randomizing Over Randomized Experiments
(2017)
Social Analytics Lab, MIT Sloan - Cambridge, MA
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Detecting Network Effects: Randomizing Over Randomized Experiments
(2017)
Conference on Digital Experimentation, MIT (CODE@MIT) - Cambridge, MA