activity
20202024
most citedBuilding Human Values into Recommender Systems: An Interdisciplinary Synthesis

107 citations · 406 across the 21 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.SI2022★ 1 cited

Characterizing Social Movement Narratives in Online Communities: The 2021 Cuban Protests on Reddit

Brian Felipe Keith Norambuena, Tanushree Mitra, Chris North

Social movements are dominated by storytelling, as narratives play a key role in how communities involved in these movements shape their identities. Thus, recognizing the accepted…

cs.IR2022★ 107 cited

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis

Jonathan Stray, Alon Halevy, Parisa Assar +18

Recommender systems are the algorithms which select, filter, and personalize content across many of the worlds largest platforms and apps. As such, their positive and negative effe…

cs.HC2022★ 2 cited

Human and technological infrastructures of fact-checking

Prerna Juneja, Tanushree Mitra

Increasing demands for fact-checking has led to a growing interest in developing systems and tools to automate the fact-checking process. However, such systems are limited in pract…

cs.CY2022★ 8 cited

Pathways through Conspiracy: The Evolution of Conspiracy Radicalization through Engagement in Online Conspiracy Discussions

Shruti Phadke, Mattia Samory, Tanushree Mitra

The disruptive offline mobilization of participants in online conspiracy theory (CT) discussions has highlighted the importance of understanding how online users may form radicaliz…

cs.HC2022★ 2 cited

Algorithmic nudge to make better choices: Evaluating effectiveness of XAI frameworks to reveal biases in algorithmic decision making to users

Prerna Juneja, Tanushree Mitra

In this position paper, we propose the use of existing XAI frameworks to design interventions in scenarios where algorithms expose users to problematic content (e.g. anti vaccine v…

cs.HC2022★ 20 cited

OtherTube: Facilitating Content Discovery and Reflection by Exchanging YouTube Recommendations with Strangers

Md Momen Bhuiyan, Carlos Augusto Bautista Isaza, Tanushree Mitra +1

To promote engagement, recommendation algorithms on platforms like YouTube increasingly personalize users' feeds, limiting users' exposure to diverse content and depriving them of…