Papers archive | Social & Information Systems

Bayesian Fairness.

Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic.
AAAI 2019.

Iterative Classroom Teaching.

Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher.
AAAI 2019.

NeVAE: A Deep Generative Model for Molecular Graphs

Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez.
AAAI 2019.

How Do Fairness Definitions Fare?: Examining Public Attitudes Towards Algorithmic Definitions of Fairness.

Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu.
AIES 2019.

Loss-Aversively Fair Classification.

Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi.
AIES 2019.

Foundations for Fair Algorithmic Decision Making.

Krishna P. Gummadi.
EGC 2019.

A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity.

Hoda Heidari, Michele Loi, Krishna P. Gummadi, Andreas Krause.
FAT 2019.

Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking.

Mahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi.
FAT 2019.

Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations.

Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau.
FAT 2019.

On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook.

Filipe Nunes Ribeiro, Koustuv Saha, Mahmoudreza Babaei, Lucas Henrique, Johnnatan Messias, Fabrício Benevenuto, Oana Goga, Krishna P. Gummadi, Elissa M. Redmiles.
FAT 2019.

iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making.

Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum.
ICDE 2019.

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher.
ICML 2019.

Learning to Collaborate in Markov Decision Processes.

Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla.
ICML 2019.

On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning.

Hoda Heidari, Vedant Nanda, Krishna P. Gummadi.
ICML 2019.

Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media.

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi.
IEEE Trans. Comput. Social Systems 2019.

Interactive Teaching Algorithms for Inverse Reinforcement Learning.

Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla.
IJCAI 2019.

The Price of Local Fairness in Multistage Selection.

Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau.
IJCAI 2019.

Search bias quantification: investigating political bias in social media and web search.

Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios.
Inf. Retr. Journal 2019.

Fairness Constraints: A Flexible Approach for Fair Classification.

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi.
J. Mach. Learn. Res. 2019.

Fairness Constraints: A Flexible Approach for Fair Classification.

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi.
Journal of Machine Learning Research 2019.

Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform.

Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty.
KDD 2019.

Lethe: Conceal Content Deletion from Persistent Observers.

Mohsen Minaei, Mainack Mondal, Patrick Loiseau, Krishna P. Gummadi, Aniket Kate.
PoPETs 2019.

Enhancing Human Learning via Spaced Repetition Optimization

Behzad Tabibian, Utkarsh Upadhyay, Abir De, Ali Zarezade, Bernhard Schoelkopf, Manuel Gomez Rodriguez.
Proceedings of the National Academy of Sciences (PNAS) 2019.

The Responsibility Challenge for Data.

H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich.
SIGMOD Conference 2019.

Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems.

Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella.
WSDM 2019.

On the Complexity of Opinions and Online Discussions.

Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez.
WSDM 2019.

Auditing Offline Data Brokers via Facebook's Advertising Platform.

Giridhari Venkatadri, Piotr Sapiezynski, Elissa M. Redmiles, Alan Mislove, Oana Goga, Michelle L. Mazurek, Krishna P. Gummadi.
WWW 2019.

Economic Theories of Distributive Justice for Fair Machine Learning.

Krishna P. Gummadi, Hoda Heidari.
WWW 2019.

On the Impact of Choice Architectures on Inequality in Online Donation Platforms.

Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari.
WWW 2019.

Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning.

Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller.
AAAI 2018.

Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints.

Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings.
AAAI 2018.

Learning to Interact With Learning Agents.

Adish Singla, Seyed Hamed Hassani, Andreas Krause.
AAAI 2018.

Learning User Preferences to Incentivize Exploration in the Sharing Economy.

Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause.
AAAI 2018.

Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited Knowledge.

Goran Radanovic, Boi Faltings.
AAAI 2018.

Purple Feed: Identifying High Consensus News Posts on Social Media.

Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabrício Benevenuto, Krishna P. Gummadi, Adrian Weller.
AIES 2018.

An Overview of Machine Teaching

Xiaojin Zhu, Adish Singla, Sandra Zilles, Anna N. Rafferty.
arXiv

Equitable Security: Optimizing Distribution of Nudges and Resources.

Elissa M. Redmiles, John P. Dickerson, Krishna P. Gummadi, Michelle L. Mazurek.
CCS 2018.

Data-Driven Approach Towards a Personalized Curriculum.

Michael Backenköhler, Felix Scherzinger, Adish Singla, Verena Wolf.
EDM 2018.

Potential for Discrimination in Online Targeted Advertising.

Till Speicher, Muhammad Ali, Giridhari Venkatadri, Filipe Nunes Ribeiro, George Arvanitakis, Fabrício Benevenuto, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove.
FAT 2018.

Treads: Transparency-Enhancing Ads.

Giridhari Venkatadri, Alan Mislove, Krishna P. Gummadi.
HotNets 2018.

Blind Justice: Fairness with Encrypted Sensitive Attributes.

Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller.
ICML 2018.

Media Bias Monitor: Quantifying Biases of Social Media News Outlets at Large-Scale.

Filipe Nunes Ribeiro, Lucas Henrique, Fabrício Benevenuto, Abhijnan Chakraborty, Juhi Kulshrestha, Mahmoudreza Babaei, Krishna P. Gummadi.
ICWSM 2018.

Privacy Risks with Facebook's PII-Based Targeting: Auditing a Data Broker's Advertising Interface.

Giridhari Venkatadri, Athanasios Andreou, Yabing Liu, Alan Mislove, Krishna P. Gummadi, Patrick Loiseau, Oana Goga.
IEEE Symposium on Security and Privacy 2018.

A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices.

Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar.
KDD 2018.

Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebooks Explanations.

Athanasios Andreou, Giridhari Venkatadri, Oana Goga, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove.
NDSS 2018.

Deep Reinforcement Learning of Marked Temporal Point Processes.

Utkarsh Upadhyay, Abir De, Manuel Gomez Rodriguez.
NeurIPS 2018.

Enhancing the Accuracy and Fairness of Human Decision Making.

Isabel Valera, Adish Singla, Manuel Gomez Rodriguez.
NeurIPS 2018.

Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making.

Hoda Heidari, Claudio Ferrari, Krishna P. Gummadi, Andreas Krause.
NeurIPS 2018.

Teaching Inverse Reinforcement Learners via Features and Demonstrations.

Luis Haug, Sebastian Tschiatschek, Adish Singla.
NeurIPS 2018.

Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners.

Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue.
NeurIPS 2018.

Deep Reinforcement Learning of Marked Temporal Point Processes

Utkarsh Upadhyay, Abir De, Manuel Gomez Rodriguez.
NIPS

Enhancing the Accuracy and Fairness of Human Decision Making

Isabel Valera, Adish Singla, Manuel Gomez Rodriguez.
NIPS

Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making

Hoda Heidari, Claudio Ferrari, Krishna Gummadi, Andreas Krause.
NIPS

Teaching Inverse Reinforcement Learners via Features and Demonstrations

Luis Haug, Sebastian Tschiatschek, Adish Singla.
NIPS

Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners

Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue.
NIPS

Equity of Attention: Amortizing Individual Fairness in Rankings.

Asia J. Biega, Krishna P. Gummadi, Gerhard Weikum.
SIGIR 2018.

Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation.

Jooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schölkopf, Manuel Gomez-Rodriguez.
WSDM 2018.

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song.
WWW 2018.

Fake News Detection in Social Networks via Crowd Signals.

Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause.
WWW 2018.

Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction.

Nina Grgic-Hlaca, Elissa M. Redmiles, Krishna P. Gummadi, Adrian Weller.
WWW 2018.

On the Causal Effect of Badges.

Tomasz Kusmierczyk, Manuel Gomez-Rodriguez.
WWW 2018.

Selecting Sequences of Items via Submodular Maximization.

Sebastian Tschiatschek, Adish Singla, Andreas Krause.
AAAI 2017.

Fairness Constraints: Mechanisms for Fair Classification

Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi.
AISTATS 2017.

Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities.

Asia J. Biega, Azin Ghazimatin, Hakan Ferhatosmanoglu, Krishna P. Gummadi, Gerhard Weikum.
CIKM 2017.

Inside the Walled Garden: Deconstructing Facebook's Free Basics Program.

Rijurekha Sen, Sohaib Ahmad, Amreesh Phokeer, Zaid Ahmed Farooq, Ihsan Ayyub Qazi, David R. Choffnes, Krishna P. Gummadi.
Computer Communication Review 2017.

Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media

Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie G. Karahalios.
CSCW 2017.

Reconciling Privacy and Utility in Continuous-Time Diffusion Networks.

Michael Backes, Manuel Gomez-Rodriguez, Praveen Manoharan, Bartlomiej Surma.
CSF 2017.

Game Theory for Data Science: Eliciting Truthful Information

Boi Faltings, Goran Radanovic.
Game Theory for Data Science: Eliciting Truthful Information 2017.

Leveraging Facebook's Free Basics Engine for Web Service Deployment in Developing Regions.

Siddharth Singh, Vedant Nanda, Rijurekha Sen, Satadal Sengupta, Ponnurangam Kumaraguru, Krishna P. Gummadi.
ICTD 2017.

Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations.

Abhijnan Chakraborty, Johnnatan Messias, Fabrício Benevenuto, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi.
ICWSM 2017.

Longitudinal Privacy Management in Social Media: The Need for Better Controls.

Mainack Mondal, Johnnatan Messias, Saptarshi Ghosh, Krishna P. Gummadi, Aniket Kate.
IEEE Internet Computing 2017.

Mechanismen zur Beschaffung korrekter Daten.

Boi Faltings, Goran Radanovic.
Informatik Spektrum 2017.

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution.

Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song.
J. Mach. Learn. Res. 2017.

Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks.

Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song.
J. Mach. Learn. Res. 2017.

Steering Social Activity: A Stochastic Optimal Control Point Of View.

Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez.
J. Mach. Learn. Res. 2017.

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution

Mehrdad Farajtabar, Yichen Wang, Manuel Gomez Rodriguez, Shuang Li, Hongyuan Zha, Le Song.
JMLR 2017.

Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks.

Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song.
Journal of Machine Learning Research 2017.

Steering Social Activity: A Stochastic Optimal Control Point Of View.

Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez.
Journal of Machine Learning Research 2017.

A broad view of the ecosystem of socially engineered exploit documents

Stevens Le Blond, Cedric Gilbert, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, David Choffnes.
NDSS 2017.

From Parity to Preference-based Notions of Fairness in Classification.

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller.
NIPS 2017.

Multi-View Decision Processes: The Helper-AI Problem.

Christos Dimitrakakis, David C. Parkes, Goran Radanovic, Paul Tylkin.
NIPS 2017.

Uncovering the Spatiotemporal Patterns of Collective Social Activity

Martin Jankowiak, Manuel Gomez-Rodriguez.
SDM 2017.

An Empirical Analysis of Facebook's Free Basics.

Siddharth Singh, Vedant Nanda, Rijurekha Sen, Sohaib Ahmad, Satadal Sengupta, Amreesh Phokeer, Zaid Ahmed Farooq, Taslim Arefin Khan, Ponnurangam Kumaraguru, Ihsan Ayyub Qazi, David R. Choffnes, Krishna P. Gummadi.
SIGMETRICS (Abstracts) 2017.

RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks.

Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez.
WSDM 2017.

Uncovering the Dynamics of Crowdlearning and the Value of Knowledge.

Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez.
WSDM 2017.

Distilling Information Reliability and Source Trustworthiness from Digital Traces.

Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez.
WWW 2017.

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment.

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi.
WWW 2017.

Fairness Beyond Disparate Treatment and Disparate Impact: Learning Classification without Disparate Mistreatment

Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna Gummadi.
WWW 2017.

Modeling the Dynamics of Learning Activity on the Web.

Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez.
WWW 2017.

Modeling the Dynamics of Online Learning Activity

Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez.
WWW 2017.

Optimizing the Recency-Relevancy Trade-off in Online News Recommendations

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi.
WWW 2017.

Doctoral Thesis: Towards Trustworthy Social Computing Systems

Bimal Viswanath.
Technical Report MPI-SWS-2016-004 2016.

Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization.

Adish Singla, Sebastian Tschiatschek, Andreas Krause.
AAAI 2016.

Limiting the Influence of Low Quality Information in Community Sensing.

Goran Radanovic, Boi Faltings.
AAMAS 2016.

Incentives for Effort in Crowdsourcing Using the Peer Truth Serum.

Goran Radanovic, Boi Faltings, Radu Jurca.
ACM TIST 2016.

Influence Estimation and Maximization in Continuous-Time Diffusion Networks.

Manuel Gomez-Rodriguez, Le Song, Nan Du, Hongyuan Zha, Bernhard Schölkopf.
ACM Trans. Inf. Syst. 2016.

On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs.

Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi.
CSCW 2016.

Evaluating Task-Dependent Taxonomies for Navigation.

Yuyin Sun, Adish Singla, Tori Qiao Yan, Andreas Krause, Dieter Fox.
HCOMP 2016.

Learning and Feature Selection under Budget Constraints in Crowdsourcing.

Besmira Nushi, Adish Singla, Andreas Krause, Donald Kossmann.
HCOMP 2016.

Learning to Scale Payments in Crowdsourcing with PropeRBoost.

Goran Radanovic, Boi Faltings.
HCOMP 2016.

Actively Learning Hemimetrics with Applications to Eliciting User Preferences.

Adish Singla, Sebastian Tschiatschek, Andreas Krause.
ICML 2016.

Dissemination Biases of Social Media Channels: On the Topical Coverage of Socially Shared News.

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi.
ICWSM 2016.

Distinguishing between Topical and Non-Topical Information Diffusion Mechanisms in Social Media.

Przemyslaw A. Grabowicz, Niloy Ganguly, Krishna P. Gummadi.
ICWSM 2016.

Message Impartiality in Social Media Discussions.

Muhammad Bilal Zafar, Krishna P. Gummadi, Cristian Danescu-Niculescu-Mizil.
ICWSM 2016.

Scalable Urban Data Collection from the Web.

Rijurekha Sen, Daniele Quercia, Carmen Karina Vaca Ruiz, Krishna P. Gummadi.
ICWSM 2016.

On the Free Bridge Across the Digital Divide: Assessing the Quality of Facebook's Free Basics Service.

Rijurekha Sen, Hasnain Ali Pirzada, Amreesh Phokeer, Zaid Ahmed Farooq, Satadal Sengupta, David R. Choffnes, Krishna P. Gummadi.
IMC 2016.

Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm.

Manuel Gomez-Rodriguez, Le Song, Hadi Daneshmand, Bernhard Schölkopf.
J. Mach. Learn. Res. 2016.

Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm.

Manuel Gomez-Rodriguez, Le Song, Hadi Daneshmand, Bernhard Schölkopf.
Journal of Machine Learning Research 2016.

Recurrent Marked Temporal Point Processes: Embedding Event History to Vector.

Nan Du, Hanjun Dai, Rakshit Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song.
KDD 2016.

Smart Broadcasting: Do You Want to be Seen?

Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez.
KDD 2016.

Learning and Forecasting Opinion Dynamics in Social Networks.

Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez.
NIPS 2016.

R-Susceptibility: An IR-Centric Approach to Assessing Privacy Risks for Users in Online Communities

Joanna Asia Biega, Krishna P. Gummadi, Ida Mele, Dragan Milchevski, Christos Tryfonopoulos, Gerhard Weikum.
SIGIR 2016.

Forgetting in Social Media: Understanding and Controlling Longitudinal Exposure of Socially Shared Data

Mainack Mondal, Johnnatan Messias, Saptarshi Ghosh, Krishna P. Gummadi, Aniket Kate.
SOUPS 2016.

On Profile Linkability despite Anonymity in Social Media Systems.

Michael Backes, Pascal Berrang, Oana Goga, Krishna P. Gummadi, Praveen Manoharan.
WPES@CCS 2016.

On the Efficiency of the Information Networks in Social Media.

Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez.
WSDM 2016.

Strengthening Weak Identities Through Inter-Domain Trust Transfer

Giridhari Venkatadri, Oana Goga, Changtao Zhong, Bimal Viswanath, Krishna P. Gummadi, Nishanth R. Sastry.
WWW 2016.

Incentives for Subjective Evaluations with Private Beliefs.

Goran Radanovic, Boi Faltings.
AAAI 2015.

Incentivizing Users for Balancing Bike Sharing Systems.

Adish Singla, Marco Santoni, Gábor Bartók, Pratik Mukerji, Moritz Meenen, Andreas Krause.
AAAI 2015.

Incentive Schemes for Participatory Sensing.

Goran Radanovic, Boi Faltings.
AAMAS 2015.

Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song.
AISTATS 2015.

Strength in Numbers: Robust Tamper Detection in Crowd Computations

Bimal Viswanath, Muhammad Ahmad Bashir, Muhammad Bilal Zafar, Simon Bouget, Saikat Guha, Krishna P. Gummadi, Aniket Kate, Alan Mislove.
COSN 2015.

Fairness Constraints: A Mechanism for Fair Classification.

Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna Gummadi.
FATML 2015.

Crowd Access Path Optimization: Diversity Matters.

Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann.
HCOMP 2015.

Learning to Hire Teams.

Adish Singla, Eric Horvitz, Pushmeet Kohli, Andreas Krause.
HCOMP 2015.

Modeling Adoption and Usage of Competing Products.

Isabel Valera, Manuel Gomez-Rodriguez.
ICDM 2015.

Characterizing Information Diets of Social Media Users.

Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espin Noboa, Krishna P. Gummadi, Saptarshi Ghosh.
ICWSM 2015.

On the Users' Efficiency in the Twitter Information Network.

Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Manuel Gomez-Rodriguez.
ICWSM 2015.

The Many Shades of Anonymity: Characterizing Anonymous Social Media Content

Denzil Correa, Leandro Araujo Silva, Mainack Mondal, Fabricio Benevenuto, Krishna P. Gummadi.
ICWSM 2015.

Building Hierarchies of Concepts via Crowdsourcing.

Yuyin Sun, Adish Singla, Dieter Fox, Andreas Krause.
IJCAI 2015.

Information Gathering in Networks via Active Exploration.

Adish Singla, Eric Horvitz, Pushmeet Kohli, Ryen White, Andreas Krause.
IJCAI 2015.

The Doppelgänger Bot Attack: Exploring Identity Impersonation in Online Social Networks

Oana Goga, Giridhari Venkatadri, Krishna P. Gummadi.
IMC 2015.

On the Reliability of Profile Matching Across Large Online Social Networks

Oana Goga, Patrick Loiseau, Robin Sommer, Renata Teixeira, Krishna P. Gummadi.
KDD 2015.

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.

Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song.
NIPS 2015.

Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream.

Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi, Saptarshi Ghosh.
TWEB 2015.

Incentivizing truthful responses with the logarithmic peer truth serum.

Goran Radanovic, Boi Faltings.
UbiComp/ISWC Adjunct 2015.

Co-evolutionary Dynamics of Information Diffusion and Network Structure.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song.
WWW 2015.

Microscopic Description and Prediction of Information Diffusion in Social Media: Quantifying the Impact of Topical Interests.

Przemyslaw A. Grabowicz, Niloy Ganguly, Krishna P. Gummadi.
WWW 2015.

Incentives for Truthful Information Elicitation of Continuous Signals.

Goran Radanovic, Boi Faltings.
AAAI 2014.

Stochastic Privacy.

Adish Singla, Eric Horvitz, Ece Kamar, Ryen White.
AAAI 2014.

Quantifying Web-Search Privacy.

Arthur Gervais, Reza Shokri, Adish Singla, Srdjan Capkun, Vincent Lenders.
CCS 2014.

Does content determine information popularity in social media?: a case study of youtube videos' content and their popularity.

Flavio Figueiredo, Jussara M. Almeida, Fabrício Benevenuto, Krishna P. Gummadi.
CHI 2014.