Program - ACM Hypertext 2017

Timetable

Tuesday July 4th Day Workshops and Community retreat
Evening
Wednesday July 5th Day Sessions (9:15 - 17:40)
Evening Welcome reception, poster and demo session
Thursday July 6th Day Sessions (9:30 - 17:30)
Evening Conference Dinner
Friday July 7th Day Sessions (9:00 - 15:30)
Evening

Detailed Schedule

Tuesday July 4th
Workshops and Community retreat - to be specified later
Wednesday July 5th
9:15-9:30 Opening Session
9:30-10:30
Keynote
Kristina Lerman: A meme is not a virus: the role of cognitive heuristics in information diffusion
11:00-12:30
Online Communities

Wern Han Lim, Mark Carman and Sze-Meng Wong: Estimating Relative User Expertise for Content Quality Prediction on Reddit

Lorena Recalde, David F. Nettleton, Ricardo Baeza-Yates and Ludovico Boratto: Detection of Trending Topic Communities: Bridging Content Creators and Consumers

Claudia Lopez, Rosta Farzan and Yu-Ru Lin: Connecting neighbors: the double-edged sword of mobilization messaging in hyper-local online forums

Tanmoy Chakraborty, Sanghyun Hong, Sungjin Ahn, Ghaith Husari and Noseong Park: SENA: Preserving Social Structure for Network Embedding

14:00-15:30
Ted Nelson Award Nominees - newcomer nominee

Andreas Thalhammer, Steffen Thoma, Andreas Harth and Rudi Studer: Entity-Centric Data Fusion on the Web

Mainack Mondal, Leandro Augusto de Araújo Silva and Fabrício Benevenuto de Souza: A Measurement Study of Hate Speech in Social Media

Erick Elejalde, Leo Ferres and Eelco Herder: The Nature of Real and Perceived Bias in Chilean Media

16:00-17:40
Social Media

Mert Ozer, Mehmet Yigit Yildirim and Hasan Davulcu: Negative Link Prediction and Its Applications in Online Political Networks

Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini and Athena Vakali: Hate is not binary: Studying abusive behavior of #GamerGate on Twitter

Huyen Le, Bob Boynton, Yelena Mejova, Zubair Shafiq and Padmini Srinivasan: Bumps and Bruises: Mining Presidential Campaign Announcements on Twitter

Pantelis Vikatos, Johnnatan Messias, Manoel Miranda and Fabricio Benevenuto: Linguistic Diversities of Demographic Groups in Twitter

17:40 - Welcome reception, poster and demo session
Thursday July 6th
9:30-10:30
Keynote
Peter Mika: What happened to the Semantic Web?
11:00-12:30
Querying and Linking Content

Jorge Baier, Dietrich Daroch, Juan L. Reutter and Domagoj Vrgoc: Evaluating navigational RDF queries over the Web

Yijun Duan, Adam Jatowt and Katsumi Tanaka: Discovering Typical Histories of Entities

Ladislav Peska: Linking Content Information with Bayesian Personalized Ranking via Multiple Content Alignments

14:00-15:30
Douglas Engelbart Award Nominees - best paper nominee

Ujwal Gadiraju, Jie Yang and Alessandro Bozzon: Clarity is a Worthwhile Quality - On the Role of Task Clarity in Microtask Crowdsourcing

David Millard and Charlie Hargood: Tiree Tales: A Co-operative Inquiry into the Poetics of Location-Based Narratives

Claus Atzenbeck, Thomas Schedel, Manolis Tzagarakis, Daniel Roßner and Lucas Mages: Revisiting Hypertext Infrastructure

16:00-17:30
News and Storytelling

Mark Anderson, Leslie Car and David Millard: There and Here: Patterns of Content Transclusion in Wikipedia

Julio Reis, Haewoon Kwak, Jisun An, Johnnatan Messias and Fabricio Benevenuto: Demographics of News Sharing in Twitter

Antonio Busson, André Damasceno, Roberto Azevedo, Carlos Soares Neto, Thacyla Lima and Sérgio Colcher: A Hypervideo Model for Learning Objects

Raffaele Cipriano: Interactive Concert Program for live performances - A presentation software integrating Slideshow and Hypertext concepts

19:00 - Conference Dinner
Friday July 7th
9:00-10:30
Location-based Social Networks

Mohammed Hasanuzzaman and Asif Ekbal: Place-Type Detection in Location-Based Social Networks

Adam Poulston, Mark Stevenson and Kalina Bontcheva: Hyperlocal Home Location Identification of Twitter profiles

Jun Pang and Yang Zhang: Quantifying Location Sociality

11:00-12:30
User Modeling

David Maia, Flávio Figueiredo, Nazareno Andrade and Daniele Quercia: Multiple Images of the City: Unveiling Group-Specific Urban Perceptions through a Crowdsourcing Game

Guangyuan Piao and John G. Breslin: Leveraging Followee ListMemberships for Inferring User Interests for Passive Users on Twitter

Zhe Liu, Anbang Xu, Yi Wang, Jalal Mahmud, Jerald Schoudt and Rama Akkiraju: Does Personality Matter? A Study of Personality and Situational Effects on Consumer Behavior

14:00-15:20
Ratings, Reviews and Visualization

Rrubaa Panchendrarajan, Nazick Ahamed, Prakhash Sivakumar, Brunthavan Murugaiah, Surangika Ranathunga and Akila Pemasiri: Eatery – A Multi-Aspect Restaurant Rating System

Belgin Mutlu, Eduardo Veas and Christoph Trattner: Tags, Titles or Q&As? Choosing Content Descriptors for Visual Recommender Systems

Thiago Prado and Mirella M. Moro: Review Recommendation for Points of Interest’ Owners

Ganesh Jawahar, Himanshu Bhatt, Manjira Sinha and Shourya Roy: Multi-part Representation Learning For Cross-domain Web Content Classification using Neural Networks

15:20-15:35 Closing Session

Keynote Speakers

Kristina Lerman

Kristina Lerman is Research Team Lead at the University of Southern California Information Sciences Institute and holds a joint appointment as a Research Associate Professor in the USC Computer Science Department. Trained as a physicist, she now applies network- and machine learning-based methods to problems in social computing and social media analysis.

A meme is not a virus: the role of cognitive heuristics in information diffusion

The many decisions people make about what information to consume affect emerging trends, their popularity, and the diffusion of information through online social networks. Due to constraints of available time and cognitive resources, the ease of discovery strongly affects how people allocate their attention. Through empirical analysis and online experiments, I measure the impact of cognitive biases on collective attention. I show that position of information in the user interface strongly determines whether it is seen, while explicit signals about its popularity increases the likelihood of response. Accounting for these factors simplifies dynamics of information diffusion, allows for more accurate prediction of social behavior, and explains why most memes fail to spread widely online.

Peter Mika

Peter Mika is a Senior Director of Engineering at Schibsted, working on user profiling, personalised search and recommendations for marketplace and media sites across 30 markets around the world. Previously, he was Director of Research at Yahoo Labs, based in London, UK, where he was working on the applications of semantic technology to Web search. He received his MSc and PhD in computer science (summa cum laude) from Vrije Universiteit Amsterdam. He is the author of numerous publications, as well as the book 'Social Networks and the Semantic Web' (Springer, 2007). In 2008 he has been selected as one of "AI's Ten to Watch" by the editorial board of the IEEE Intelligent Systems journal. In 2015, he received a 10 year best paper award for “Ontologies are us: A unified model of social networks and semantics”, originally published at ISWC 2005. He is a member of the editorial board of the Journal of Web Semantics (Elsevier). Peter is a regular speaker at both academic and technology conferences and serves on the advisory board of a number of public and private initiatives.

What happened to the Semantic Web?

The idea of the Semantic Web has surfaced in the literature over 20 years ago, and this area has been a major focus of academic research and standardisation for almost as long. In this talk, we look back at the history of the Semantic Web. We discuss what the original aspirations of its creators were, and what has been achieved in practice in these two decades. We also seek to find where the Semantic Web has failed and succeeded, illustrated by usage in web search, e-commerce and online media. Further, we will attempt to understand whether it makes sense to pursue at least some of these ideas in a different age, with new opportunities brought about by recent developments in Big Data, cloud computing, and Deep Learning.