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The ICWSM-16 technical program will be held in the Maternusaal Room of Maternushaus, May 18-20.
Machine learning has taken over our world, in more ways than we realize. You might get book recommendations, or an efficient route to your destination, or even a winning strategy for a game of Go. But you might also be admitted to college, granted a loan, or hired for a job based on algorithmically enhanced decision-making. We believe machines are neutral arbiters: cold, calculating entities that always make the right decision, that can see patterns that our human minds can't or won't. But are they? Or is decision-making-by-algorithm a way to amplify, extend and make inscrutable the biases and discrimination that is prevalent in society? To answer these questions, we need to go back — all the way to the original ideas of justice and fairness in society. We also need to go forward — towards a mathematical framework for talking about justice and fairness in machine learning. Dr. Venkatasubramanian will talk about the growing landscape of research in algorithmic fairness: how we can reason systematically about biases in algorithms, and how we can make our algorithms fair(er).
Power Imbalance and Rating Systems
Bogdan State, Bruno Abrahao, Karen S. Cook
"Will Check-in for Badges": Understanding Bias and Misbehavior on Location-Based Social Networks
Gang Wang, Sarita Y. Schoenebeck, Haitao Zheng, Ben Y. Zhao
Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias in an Online Fiction Writing Community
Ethan Fast, Tina Vachovsky, Michael S. Bernstein
Twitter's Glass Ceiling: The Effect of Perceived Gender on Online Visibility
Shirin Nilizadeh, Anne Groggel, Peter Lista, Srijita Das, Yong-Yeol Ahn, Apu Kapadia, Fabio Rojas
Identifying Platform Effects in Social Media Data
Momin M. Malik, Jürgen Pfeffer
When a Movement Becomes a Party: Computational Assessment of New Forms of Political Organization in Social Media
Pablo Aragón, Yana Volkovich, David Laniado, Andreas Kaltenbrunner
Changing Names in Online News Comments at the New York Times
Simranjit Singh Sachar, Nicholas Diakopoulos
Lost in Propagation? Unfolding News Cycles from the Source
Chenhao Tan, Adrien Friggeri, Lada A. Adamic
Journalists and Twitter: A Multidimensional Quantitative Description of Usage Patterns
Mossaab Bagdouri
User Migration in Online Social Networks: A Case Study on Reddit during a Period of Community Unrest
Edward Newell, David Jurgens, Haji Mohammad Saleem, Hardik Vala, Jad Sassine, Caitrin Armstrong, Derek Ruths
Cross Social Media Recommendation
Xiaozhong Liu, Tian Xia, Yingying Yu, Chun Guo, Yizhou Sun
Aligning Popularity and Quality in Online Cultural Markets
Pascal Van Hentenryck, Andrés Abeliuk, Franco Berbeglia, Felipe Maldonado, Gerardo Berbeglia
Sequential Voting Promotes Collective Discovery in Social Recommendation Systems
L. Elisa Celis, Peter M. Krafft, Nathan Kobe
Power of Earned Advertising on Social Network Services: A Case Study of Friend Tagging on Facebook
Jaimie Y. Park, Yunkyu Sohn, Sue Moon
"Blissfully Happy" or "Ready to Fight": Varying Interpretations of Emoji
Hannah Miller, Jacob Thebault-Spieker, Shuo Chang, Isaac Johnson, Loren Terveen, Brent Hecht
Measuring the Efficiency of Charitable Giving with Content Analysis and Crowdsourcing
Ceren Budak, Justin M. Rao
Predictability of Popularity: Gaps between Prediction and Understanding
Benjamin Shulman, Amit Sharma, Dan Cosley
(28 minute walk or 19 minute bus ride, 1,4 mile from GESIS and Maternushaus)
Culture is one of the least understood concepts in the social sciences. We all know it exists, but disagree on how to define and measure it. In this talk, I will discuss how the web and online communication open a window into understanding and measuring culture in ways that were unimaginable until recently. In particular, I will focus on language-based algorithms drawn from organizational email communication that measure individual cultural fit, and can predict promotion, dismissal and voluntary turnover. This work improves significantly on existing methods for measuring cultural alignment between individuals and groups, and provides new insights into how culture operates and affects individual and group processes.
Who Did What: Editor Role Identification in Wikipedia - Honorable Mention
Diyi Yang, Aaron Halfaker, Robert Kraut, Eduard Hovy
Understanding Communities via Hashtag Engagement: A Clustering Based Approach
Orianna DeMasi, Douglas Mason, Jeff Ma
Understanding Anti-Vaccination Attitudes in Social Media
Tanushree Mitra, Scott Counts, James W. Pennebaker
Emotions, Demographics and Sociability in Twitter Interactions
Kristina Lerman, Megha Arora, Luciano Gallegos, Ponnurangam Kumaraguru, David Garcia
On Unravelling Opinions of Issue Specific-Silent Users in Social Media
Wei Gong, Ee-Peng Lim, Feida Zhu, Pei Hua Cher
Are You Charlie or Ahmed? Cultural Pluralism in Charlie Hebdo Response on Twitter
Jisun An, Haewoon Kwak, Yelena Mejova, Sonia Alonso Saenz De Oger, Braulio Gomez Fortes
Discovering Response-Eliciting Factors in Social Question-Answering: A Reddit Inspired Study
Danish, Yogesh Dahiya, Partha Talukdar
The Status Gradient of Trends in Social Media
Rahmtin Rotabi, Jon Kleinberg
Your Age Is No Secret: Inferring Microbloggers' Ages via Content and Interaction Analysis
Jinxue Zhang, Xia Hu, Yanchao Zhang, Huan Liu
Analyzing Personality through Social Media Profile Picture Choice
Leqi Liu, Daniel Preotiuc-Pietro, Zahra Riahi Samani, Mohsen E. Moghaddam, Lyle Ungar
Predicting Perceived Brand Personality with Social Media
Anbang Xu, Haibin Liu, Liang Gou, Rama Akkiraju, Jalal Mahmud, Vibha Sinha, Yuheng Hu, Mu Qiao
What the Language You Tweet Says about Your Occupation
Tianran Hu, Haoyuan Xiao, Jiebo Luo, Thuy-vy Thi Nguyen
Tracking Secret-Keeping in Emails
Yla R. Tausczik, Cindy K. Chung, James W. Pennebaker
Distinguishing between Topical and Non-Topical Information Diffusion Mechanisms in Social Media
Przemyslaw A. Grabowicz, Niloy Ganguly, Krishna P. Gummadi
Investigating the Observability of Complex Contagion in Empirical Social Networks
Clay Fink, Aurora Schmidt, Vladimir Barash, John Kelly, Christopher Cameron, Michael Macy
Networks of Gratitude: Structures of Thanks and User Expectations in Workplace Appreciation Systems
Emma S. Spiro, J. Nathan Matias, Andrés Monroy-Hernández
Bad Apples Spoil the Fun: Quantifying Cheating Influence in Online Gaming
Xiang Zuo, Clayton Gandy, John Skovertz, Adriana Iamnitchi
TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics
Ryota Kobayashi, Renaud Lambiotte
On the Behaviour of Deviant Communities in Online Social Networks
Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri
Online data from weblogs and social media provide richly structured socio-behavioral data. However, using noisy and incomplete data from social media often requires inferring unobserved attributes of individuals and their relationships. And doing this correctly requires complex collective reasoning about dependencies among those individuals. In this talk, I will describe some common inference patterns needed for socio-behavioral networks including: collective classification (predicting missing labels for nodes), link prediction (predicting edges), and entity resolution (determining when two nodes refer to the same underlying entity). I will then describe in detail a highly scalable open-source probabilistic programming language being developed within my group to solve these challenges.
Social Media Participation in an Activist Movement for Racial Equality - Best Paper
Munmun De Choudhury, Shagun Jhaver, Benjamin Sugar, Ingmar Weber
Mining Pro-ISIS Radicalisation Signals from Social Media Users
Matthew Rowe, Hassan Saif
Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach
Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari
Pub Crawling at Scale: Tapping Untappd to Explore Social Drinking
Martin J. Chorley, Luca Rossi, Gareth Tyson, Matthew J. Williams
Fetishizing Food in Digital Age: #foodporn around the World
Yelena Mejova, Sofiane Abbar, Hamed Haddadi
#PrayForDad: Learning the Semantics behind Why Social Media Users Disclose Health Information
Zhijun Yin, You Chen, Daniel Fabbri, Jimeng Sun, Bradley Malin
The Dynamics of Emotions in Online Interaction
David Garcia, Arvid Kappas, Dennis Küster and Frank Schweitzer
CrowdLens: Experimenting with Crowd-Powered Recommendation and Explanation
Shuo Chang, F. Maxwell Harper, Lingfei He, Loren G. Terveen
Sentiment-Based Topic Suggestion for Micro-Reviews
Ziyu Lu, Nikos Mamoulis, Evaggelia Pitoura, Panayiotis Tsaparas
Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities
Jack Hessel, Chenhao Tan, Lillian Lee
TweetGrep: Weakly Supervised Joint Retrieval and Sentiment Analysis of Topical Tweets
Satarupa Guha, Tanmoy Chakraborty, Samik Datta, Mohit Kumar, Vasudeva Varma
Theme-Relevant Truth Discovery on Twitter: An Estimation Theoretic Approach
Dong Wang, Jermaine Marshall, Chao Huang
Message Impartiality in Social Media Discussions
Muhammad Bilal Zafar, Krishna P. Gummadi, Cristian Danescu-Niculescu-Mizil
The Emotional and Chromatic Layers of Urban Smells
Daniele Quercia, Luca Maria Aiello, Rossano Schifanella
EigenTransitions with Hypothesis Testing: The Anatomy of Urban Mobility
Ke Zhang, Yu-Ru Lin, Konstantinos Pelechrinis
Space Collapse: Reinforcing, Reconfiguring and Enhancing Chinese Social Practices through WeChat
Yang Wang, Yao Li, Bryan Semaan, Jian Tang