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Calendar denotes when presenters are available for Q&A. All talks are available now. We recommend that you watch prior to live events.
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Tuesday

How Does it Feel to be a Problem?: Race, Blackness & Our Technological Past, Present, Future

Charlton McIlwain / NYU
A century ago, Sociologist W.E.B. DuBois posed the question, "How does it feel to be a problem?" speaking then of the Negro's place in the world. But what does it mean to be a problem in the context of computing technology? I argue that the relationship between African Americans and other people of color to computing technology has been mediated by "the problem." In this talk I tell the story of how Black people became the nation's (U.S.) first problem for computers to solve, the consequences of that relationship, and the lessons it provides about how we frame today's technological solutions for the future.

Spotlights: S1

Gravity of Location-Based Service: Analyzing the Effects for Mobility Pattern and Location Prediction
Keiichi Ochiai, Yusuke Fukazawa, Wataru Yamada, Hiroyuki Manabe, Yutaka Matsuo,
Behind the Mask: A Computational Study of Anonymous' Presence on Twitter
Keenan Jones, Jason R. C. Nurse, Shujun Li,
A Quantitative Approach to Understanding Online Antisemitism
Savvas Zannettou, Joel Finkelstein, Barry Bradlyn, Jeremy Blackburn,
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Poster Sessions

Session P1 (14:00-15:00 GMT)

Session P2 (15:00-16:00 GMT)

Session P3 (22:00-23:00 GMT)

Session P4 (23:00-00:00 GMT)

Wednesday

Should you believe Wikipedia? How social epistemology can help us be better internet researchers

Amy Bruckman / Georgia Tech
Social computing researchers increasingly need to question the nature of "truth" in our day-to-day work. In this talk, I’ll review ideas from philosophy, especially social epistemology, to give us practical, working definitions of "truth" and "knowledge." I'll apply these ideas to explain why a popular Wikipedia page is arguably the most reliable form of information ever created. Finally, I’ll explain how these ideas help us to be better social computing researchers, and more thoughtfully address controversies about what kind of content is appropriate.

Spotlights: S2

An Experimental Study of Structural Diversity in Social Networks
Jessica Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel,
Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification
Caleb Ziems, Ymir Vigfusson, Fred Morstatter,
Quasi-Experimental Designs for Assessing Response on Social Media to Policy Changes
Yijun Tian, Rumi Chunara,
Previous Next

Poster Sessions

Session P5 (14:00-15:00 GMT)

Session P6 (15:00-16:00 GMT)

Session P7 (21:00-22:00 GMT)

Session P8 (22:00-23:00 GMT)

Thursday

Spotlights: S3

Minimizing Interference and Selection Bias in Network Experiment Design
Zahra Fatemi, Elena Zheleva,
Influence Maximization Using Influence and Susceptibility Embeddings
George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis,
Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children
Kostantinos Papadamou, Antonis Papasavva, Savvas Zannettou, Jeremy Blackburn, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Michael Sirivianos,
Previous Next

Poster Sessions

Session P9 (14:00-15:00 GMT)

Session P10 (15:00-16:00 GMT)

Session P11 (21:00-22:00 GMT)

Session P12 (22:00-23:00 GMT)

Expos

Code of Conduct

Participants are encouraged to read and follow AAAI's Code of Conduct for Conferences and Events. Additionally, participants are encouraged to be courteous when sharing screen captures and photographs of conference events. Seek permission when possible and respect requests to take down images if those featured ask.
Concerns around code of conduct or inclusion may be sent to icwsm20@aaai.org.

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