Search Results - "Gummadi, Krishna P."

iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making by Lahoti, Preethi, Gummadi, Krishna P., Weikum, Gerhard

“…People are rated and ranked, towards algorithmic decision making in an increasing number of applications, typically based on machine learning. Research on how…”
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On fair selection in the presence of implicit and differential variance by Emelianov, Vitalii, Gast, Nicolas, Gummadi, Krishna P., Loiseau, Patrick

“…Discrimination in selection problems such as hiring or college admission is often explained by implicit bias from the decision maker against disadvantaged…”
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Search bias quantification: investigating political bias in social media and web search by Kulshrestha, Juhi, Eslami, Motahhare, Messias, Johnnatan, Zafar, Muhammad Bilal, Ghosh, Saptarshi, Gummadi, Krishna P., Karahalios, Karrie

“…Users frequently use search systems on the Web as well as online social media to learn about ongoing events and public opinion on personalities. Prior studies…”
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On the Fairness of Time-Critical Influence Maximization in Social Networks by Ali, Junaid, Babaei, Mahmoudreza, Chakraborty, Abhijnan, Mirzasoleiman, Baharan, Gummadi, Krishna P., Singla, Adish

“…Influence maximization has found applications in a wide range of real-world problems, for instance, viral marketing of products in an online social network,…”
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Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations by Chakraborty, Abhijnan, Ghosh, Saptarshi, Ganguly, Niloy, Gummadi, Krishna P.

“…Online news media sites are emerging as the primary source of news for a large number of users. Due to a large number of stories being published in these media…”
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On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract) by Ali, Junaid, Babaei, Mahmoudreza, Chakraborty, Abhijnan, Mirzasoleiman, Baharan, Gummadi, Krishna P., Singla, Adish

“…Influence maximization has found applications in a wide range of real-world problems, for instance, viral marketing of products in an online social network,…”
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FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms by Dash, Abhisek, Chakraborty, Abhijnan, Ghosh, Saptarshi, Mukherjee, Animesh, Gummadi, Krishna P.

“…Related item recommendations (RIRs) are ubiquitous in most online platforms today, including e-commerce and content streaming sites. These recommendations not…”
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Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking by Babaei, Mahmoudreza, Kulshrestha, Juhi, Chakraborty, Abhijnan, Redmiles, Elissa M., Cha, Meeyoung, Gummadi, Krishna P.

“…Misinformation on social media has become a critical problem, particularly during a public health pandemic. Most social platforms today rely on users'…”
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Delayed information cascades in Flickr: Measurement, analysis, and modeling by Cha, Meeyoung, Benevenuto, Fabrício, Ahn, Yong-Yeol, Gummadi, Krishna P.

“…Online social networks exhibit small-world network characteristics, implying that information can spread in the network quickly and widely. This ability to…”
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Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media by Chakraborty, Abhijnan, Ghosh, Saptarshi, Ganguly, Niloy, Gummadi, Krishna P.

“…In recent years, we have witnessed a paradigm shift in news consumption. In traditional news media organizations, a small number of expert editors are…”
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Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning by Lahoti, Preethi, Gummadi, Krishna P., Weikum, Gerhard

“…Reliably predicting potential failure risks of machine learning (ML) systems when deployed with production data is a crucial aspect of trustworthy AI. This…”
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Privacy Risks with Facebook's PII-Based Targeting: Auditing a Data Broker's Advertising Interface by Venkatadri, Giridhari, Andreou, Athanasios, Yabing Liu, Mislove, Alan, Gummadi, Krishna P., Loiseau, Patrick, Goga, Oana

“…Sites like Facebook and Google now serve as de facto data brokers, aggregating data on users for the purpose of implementing powerful advertising platforms…”
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Longitudinal Privacy Management in Social Media: The Need for Better Controls by Mondal, Mainack, Messias, Johnnatan, Ghosh, Saptarshi, Gummadi, Krishna P., Kate, Aniket

“…This large-scale measurement study of Twitter focuses on understanding how users control the longitudinal exposure of their publicly shared social data -- that…”
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Measuring and analyzing the characteristics of Napster and Gnutella hosts by Saroiu, Stefan, Gummadi, Krishna P., Gribble, Steven D.

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Managing longitudinal exposure of socially shared data on the Twitter social media by Mondal, Mainack, Messias, Johnnatan, Ghosh, Saptarshi, Gummadi, Krishna P., Kate, Aniket

“…On most online social media sites today, user-generated data remains accessible to allowed viewers unless and until the data owner changes her privacy…”
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Understanding the Role of Invariance in Transfer Learning by Speicher, Till, Nanda, Vedant, Gummadi, Krishna P

“…Transfer learning is a powerful technique for knowledge-sharing between different tasks. Recent work has found that the representations of models with certain…”
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The local and global effects of traffic shaping in the internet by Marcon, M, Dischinger, M, Gummadi, K P, Vahdat, A

“…The Internet is witnessing explosive growth in traffic, in large part due to bulk transfers. Delivering such traffic is expensive for ISPs because they pay…”
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"Learn the Facts About COVID-19": Analyzing the Use of Warning Labels on TikTok Videos by Ling, Chen, Gummadi, Krishna P, Zannettou, Savvas

“…During the COVID-19 pandemic, health-related misinformation and harmful content shared online had a significant adverse effect on society. To mitigate this…”
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Exploring the design space of social network-based Sybil defenses by Viswanath, B., Mondal, M., Clement, A., Druschel, P., Gummadi, K. P., Mislove, A., Post, A.

“…Recently, there has been significant research interest in leveraging social networks to defend against Sybil attacks. While much of this work may appear…”
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Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning by Lahoti, Preethi, Gummadi, Krishna P, Weikum, Gerhard

“…Reliably predicting potential failure risks of machine learning (ML) systems when deployed with production data is a crucial aspect of trustworthy AI. This…”
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