Effects of automated information selection and presentation in online information systems
Socio-technical systems provide access to ever-increasing quantities of information online. To help people cope with information overload, these systems implement “algorithmic curation”: automated selection of what content should be displayed to users, what should be hidden, and how it should be presented. Virtually every Internet user who reads online news, visits social media sites, or uses a search engine has encountered algorithmic curation at some point, probably without even realizing it.
In a socio-technical system, user contributions, social relationships and behavior, and features of the technology are interdependent, and determine what the system is used for, how it is used, and how it evolves over time. The goal of this research project is to investigate the relationship between social behavior and algorithmic curation, in order to better predict the effects of this pervasive practice on what we read, contribute, and communicate about online.
Poster Presented at 2014 MID-Sure
This project uses a multi-method approach to identify ways in which social and technical mechanisms influence individual users’ information production and consumption, and thereby shape system-level properties of the user population and the corpus of contributions. Lab experiments investigate how social processes, such as obeying social norms and altering communications for an intended audience, are affected by different types of algorithmic curation. Field studies augment the lab experiments, using technology interventions to demonstrate how these changes play out for people in the real world over time, and as algorithms change. At the system level, agent-based models connect individual-level processes with system-level effects of algorithmic curation, and large-scale data collection looks for signs of those effects on real systems.
This project advances the current understanding of forces that shape information access and use in an increasingly connected and automated environment. Results will be used to provide guidance to system designers who create and manipulate algorithms, in the form of design patterns that will support a systematic, generalizable way of planning for effects of algorithmic curation at different scales.
This material is based upon work supported by the National Science Foundation under Grant No. IIS-1217212. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).
Funded by NSF Award IIS-1217212
PI: Emilee Rader
People
Mailing list: curation@bitlab.cas.msu.edu
Publications
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Janghee Cho and Emilee Rader. “The Role of Conversational Grounding in Supporting Symbiosis Between People and Digital Assistants” Proc. ACM Hum.-Comput. Interact.. Vol. 4 No. CSCW1 pp. Article 33 (May 2020). 2020. ( Abstract, PDF )
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Mendelman, L., Ratan, R. A., Fordham, J., Knittel, M., & Milik, O.. “Sentimental Avatars: Gender Identification and Vehicles of Selfhood in Popular Media From Nineteenth-Century Novels to Modern Video Games” Games and Culture. 2019. ( Link )
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Emilee Rader, Kelly Cotter, and Janghee Cho. “Explanations as Mechanisms for Supporting Algorithmic Transparency” Proceedings of the ACM Conference on Human Factors in Computing (CHI). Montreal, Canada. April 2018. ( PDF )
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Kelley Cotter, Janghee Cho, and Emilee Rader. “Explaining the News Feed Algorithm: An Analysis of the News Feed FYI Blog.” Poster in CHI 2017 Extended Abstracts. Denver, CO. May 2017. ( Abstract, PDF )
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Emilee Rader. “Examining User Surprise as a Symptom of Algorithmic Filtering” International Journal of Human-Computer Studies. Vol. 98 pp. 72-88. 2017. ( Link )
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Emilee Rader and Rebecca Gray. “Understanding User Beliefs About Algorithmic Curation in the Facebook News Feed” Proceedings of the ACM Conference on Human Factors in Computing (SIGCHI). Seoul, Korea. April 2015. ( Link )
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Emilee Rader, Alcides Velasquez, Kayla Hales, and Helen Kwok. “The Gap Between Producer Intentions and Consumer Behavior in Social Media” Proceedings of the ACM Conference on Supporting Group Work (GROUP). Sanibel Island, FL. November 2012. ( Abstract, PDF, ACM DL )
News
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New Janghee Cho (University of Colorado Boulder) and Emilee Rader published a paper titled “The Role of Conversational Grounding in Supporting Symbiosis Between People and Digital Assistants” in the Proceedings of the ACM on Human-Computer Interaction in May 2020.
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Kelley Cotter and Janghee Cho will be presenting a poster at CHI 2017 about their work with Emilee on the Algorithmic Curation project, titled “Explaining the News Feed Algorithm: An Analysis of the News Feed FYI Blog”.
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Emilee’s new paper about algorithmic curation will be published by the International Journal of Human-Computer Studies in 2017! (And, it is open access!)
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Emilee gave a talk about her algorithmic curation research (More info)
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BITLab REU Interns have posters at Mid-SURE 2015 (More info)
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Emilee and Rebecca have a paper at CHI, and Susan has two papers at ICTD!
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Emilee Rader comments on the need for socio-technical testing (More info)
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Six BITLab REU Students have posters at Mid-SURE (More info)
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Emilee Rader comments on the recent Facebook Emotional Contagion paper (More info)
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The college’s newsletter has two articles about the BITLab: one about our security research and one about the undergraduate summer research.
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MSU Press Release about the Algorithmic Curation grant
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Emilee Rader received a grant of approximately $500,000 from the National Science Foundation to study the “Effects of automated information selection and presentation in online information systems”