Table of Contents

• PhD Symposium Chairs' Welcome1 [doi]
• Incorporating System-Level Objectives into Recommender SystemsHiman Abdollahpouri. 2-6 [doi]
• Identification of the Source(s) of Misinformation Propagation Utilizing Identifying CodesKaustav Basu. 7-11 [doi]
• Representation Learning for Recommender Systems with Application to the Scientific LiteratureRobin Brochier. 12-16 [doi]
• PhD Symposium Chairs' Welcome17-21 [doi]
• Cores and Other Dense Structures in Complex NetworksEdoardo Galimberti. 22-26 [doi]
• Extracting actionable information from Security ForumsJoobin Gharibshah, Michalis Faloutsos. 27-32 [doi]
• Dynamics of Misinformation CascadesJasser Jasser. 33-36 [doi]
• ClickGraph: Web Page Embedding using Clickstream Data for Multitask LearningPorter Jenkins. 37-41 [doi]
• Finding Themselves between Home and Host CulturesLin Malone. 42-45 [doi]
• Data-Driven Edu ChatbotsDonya Rooein. 46-49 [doi]
• Towards Better Entity Linking EvaluationHenry Rosales-Méndez. 50-55 [doi]
• Velocity on the Web - a PhD SymposiumRiccardo Tommasini 0001. 56-60 [doi]
• Robust Detection of Cyberbullying in Social MediaMengfan Yao. 61-66 [doi]
• Attention - from Neuroscience to the Web and Wellbeing67-68 [doi]
• Scalable Eye Tracking for Mobile DevicesMichael Xuelin Huang. 69 [doi]
• Lessons from neuroscienceLaurent Itti. 70 [doi]
• 5th AW4City 2019 Chairs' Welcome71-72 [doi]
• Persuasive Technologies for Sustainable Smart Cities: The Case of Urban MobilityEvangelia Anagnostopoulou, Babis Magoutas, Efthimios Bothos, Gregoris Mentzas. 73-82 [doi]
• Mobility as a ServiceRob Christiaanse. 83-92 [doi]
• Supporting Urban Air Mobility with Citizen Participatory Noise Sensing: A ConceptHinnerk Eißfeldt. 93-95 [doi]
• Integrating Route Attractiveness Attributes into Tourist Trip RecommendationsDaniel Herzog, Sherjeel Sikander, Wolfgang Wörndl. 96-101 [doi]
• Hybrid Human Machine workflows for mobility managementEddy Maddalena, Luis Daniel Ibáñez, Elena Simperl, Richard Gomer, Mattia Zeni, Donglei Song, Fausto Giunchiglia. 102-109 [doi]
• Intelligent Traffic Congestion Classification System using Artificial Neural NetworkMd Ashifuddin Mondal, Zeenat Rehena. 110-116 [doi]
• Leveraging AI and Sensor Fabrics to Evolve Smart City Solution DesignsWilliam H. Money, Stephen J. Cohen. 117-122 [doi]
• TOMI: A Framework for Smart Tourism on the Move InnovationVaia Moustaka, Athena Vakali, Nikos Zikos, Theoklis Tsirakidis, Leonidas G. Anthopoulos. 123-129 [doi]
• Travel Time Estimation Accuracy in Developing Regions: An Empirical Case Study with Uber Data in Delhi-NCR✱Daksh Shah, Aravinda Kumaran, Rijurekha Sen, Ponnurangam Kumaraguru. 130-136 [doi]
• Data4UrbanMobility: Towards Holistic Data Analytics for Mobility Applications in Urban RegionsNicolas Tempelmeier, Yannick Rietz, Iryna Lishchuk, Tina Kruegel, Olaf Mumm, Vanessa Miriam Carlow, Stefan Dietze, Elena Demidova. 137-145 [doi]
• Cybersafety 2019: The 4th Workshop on Computational Methods in Online MisbehaviorRichard Han, Neil Shah. 146-147 [doi]
• Detect Me If You Can: Spam Bot Detection Using Inductive Representation LearningSeyed Ali Alhosseini, Raad Bin Tareaf, Pejman Najafi, Christoph Meinel. 148-153 [doi]
• Less is More: Semi-Supervised Causal Inference for Detecting Pathogenic Users in Social MediaHamidreza Alvari, Elham Shaabani, Soumajyoti Sarkar, Ghazaleh Beigi, Paulo Shakarian. 154-161 [doi]
• Who Falls for Online Political Manipulation?Adam Badawy, Kristina Lerman, Emilio Ferrara. 162-168 [doi]
• Robust Cyberbullying Detection with Causal InterpretationLu Cheng, Ruocheng Guo, Huan Liu 0001. 169-175 [doi]
• An Empirical Study of Malicious Threads in Security ForumsJoobin Gharibshah, Zhabiz Gharibshah, Evangelos E. Papalexakis, Michalis Faloutsos. 176-182 [doi]
• Understanding Cyberbullying on Instagram and Ask.fm via Social Role DetectionHsien-Te Kao, Shen Yan, Di Huang, Nathan Bartley, Homa Hosseinmardi, Emilio Ferrara. 183-188 [doi]
• Domain Generation Algorithms detection through deep neural network and ensembleShuaiji Li, Tao Huang, Zhiwei Qin, Fanfang Zhang, Yinhong Chang. 189-196 [doi]
• Hi Doppelgänger : Towards Detecting Manipulation in News CommentsJan Pennekamp, Martin Henze, Oliver Hohlfeld, Andriy Panchenko 0001. 197-205 [doi]
• Characterizing Activity on the Deep and Dark WebNazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman. 206-213 [doi]
• Bot Electioneering Volume: Visualizing Social Bot Activity During ElectionsKai-Cheng Yang, Pik-Mai Hui, Filippo Menczer. 214-217 [doi]
• Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and Their Influence on the WebSavvas Zannettou, Tristan Caulfield, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, Jeremy Blackburn. 218-226 [doi]
• Data Science for Social Good Chairs' Welcome227-228 [doi]
• Problems and Opportunities of Working with a Telco's Large Data Sets of Mobile DataLeo Ferres, Universidad del Desarrollo, Santiago. 229 [doi]
• AI for Good at Scale: Challenges in Real Time Emergency ResponseAlex Jaimes. 230 [doi]
• Creating Public Value by Democratizing the Ecosystem of Human Service ProvidersCharalampos Chelmis, Mengfan Yao. 231-236 [doi]
• Perils and Challenges of Social Media and Election Manipulation Analysis: The 2018 US MidtermsAshok Deb, Luca Luceri, Adam Badawy, Emilio Ferrara. 237-247 [doi]
• Human Values and Attitudes towards Vaccination in Social MediaKyriaki Kalimeri, Mariano G. Beiró, Alessandra Urbinati, Andrea Bonanomi, Alessandro Rosina, Ciro Cattuto. 248-254 [doi]
• Cross-lingual Perspectives about Crisis-Related Conversations on TwitterJohnny Torres, Carmen Vaca. 255-261 [doi]
• Detecting Areas of Potential High Prevalence of Chagas in ArgentinaAntonio Vazquez Brust, Tomás Olego, Germán Rosati, Carolina Lang, Guillermo Bozzoli, Diego Weinberg, Roberto Chuit, Martin Minnoni, Carlos Sarraute. 262-271 [doi]
• DL4G-SDE 2019 Chairs' Welcome272-273 [doi]
• Using structured knowledge and traditional word embeddings to generate concept representations in the educational domainOghenemaro Anuyah, Ion Madrazo Azpiazu, Maria Soledad Pera. 274-282 [doi]
• Link Prediction with Mutual Attention for Text-Attributed NetworksRobin Brochier, Adrien Guille, Julien Velcin. 283-284 [doi]
• Real-Time Streaming Graph Embedding Through Local ActionsXi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen. 285-293 [doi]
• Integrating Bayesian and Neural Networks for Discourse CoherenceJinhua Peng, Zongyang Ma, Di Jiang, Hua Wu. 294-300 [doi]
• Learning to Represent the Evolution of Dynamic Graphs with Recurrent ModelsAynaz Taheri, Kevin Gimpel, Tanya Y. Berger-Wolf. 301-307 [doi]
• Spectral Graph ComplexityAnton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller. 308-309 [doi]
• FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review SystemJianyu Wang, Rui Wen, Chunming Wu, Yu Huang, Jian Xion. 310-316 [doi]
• Contextual Compositionality Detection with External Knowledge Bases and Word EmbeddingsDongsheng Wang, Qiuchi Li, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma. 317-323 [doi]
• First International Workshop on e-Commerce and NLP (ECNLP) Chairs' Welcome324-325 [doi]
• On the Relation Between Products' Relevance and Customers' Satisfaction in Voice ShoppingDavid Carmel. 326 [doi]
• Shop your Right Size: A System for Recommending Sizes for Fashion productsG. Mohammed Abdulla, Shreya Singh, Sumit Borar. 327-334 [doi]
• From Free-text User Reviews to Product Recommendation using Paragraph Vectors and Matrix FactorizationGeorgios Alexandridis, Thanos Tagaris, Giorgos Siolas, Andreas Stafylopatis. 335-343 [doi]
• Exploration of Product Search Intents via Clustering of Query ClustersOmar Alonso, Vasileios Kandylas, Serge-Eric Tremblay. 344-347 [doi]
• Quantifying and Visualizing the Demand and Supply Gap from E-commerce Search Data using Topic ModelsAnjan Goswami, Prasant Mohapatra, ChengXiang Zhai. 348-353 [doi]
• ProductQnA: Answering User Questions on E-Commerce Product PagesAshish Kulkarni, Kartik Mehta, Shweta Garg, Vidit Bansal, Nikhil Rasiwasia, Srinivasan H. Sengamedu. 354-360 [doi]
• Behavior Matching between Different Domains based on Canonical Correlation AnalysisYuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa. 361-366 [doi]
• Neural Product Retrieval at Walmart.comAlessandro Magnani, Feng Liu, Min Xie, Somnath Banerjee. 367-372 [doi]
• An Anatomy of a LieDina Pisarevskaya, Boris Galitsky, Jay Taylor, Andrey Ozerov. 373-380 [doi]
• The WDC Training Dataset and Gold Standard for Large-Scale Product MatchingAnna Primpeli, Ralph Peeters, Christian Bizer. 381-386 [doi]
• Towards language-agnostic alignment of product titles and descriptions: a neural approachDaniel Stein, Dimitar Shterionov, Andy Way. 387-392 [doi]
• Product Phrase Extraction from e-Commerce PagesArtem Vovk, Dmitrii Tochilkin, Pradyumna Narayana, Kazoo Sone, Sugato Basu. 393-397 [doi]
• Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender SystemHanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa. 398-403 [doi]
• Reference Product SearchChu Wang, Lei Tang, Shujun Bian, Da Zhang, Zuohua Zhang, Yongning Wu. 404-410 [doi]
• ProductNet: a Collection of High-Quality Datasets for Product Representation LearningChu Wang, Lei Tang, Yang Lu, Shujun Bian, Hirohisa Fujita, Da Zhang, Zuohua Zhang, Yongning Wu. 411-414 [doi]
• Emoji2019 Workshop Chairs' Welcome415-416 [doi]
• Decoding the New World Language: Analyzing the Popularity, Roles, and Utility of EmojisQiaozhu Mei. 417-418 [doi]
• Assessing the Meaning of Emojis for Emotional Awareness - A Pilot StudyWesley Brants, Bonita Sharif, Alexander Serebrenik. 419-423 [doi]
• When a Merperson is a MermanJennifer Daniel. 424-425 [doi]
• Emoji Sequence Use in Enacting Personal IdentityJing Ge. 426-438 [doi]
• Multimodal Emotion ClassificationAnurag Illendula, Amit P. Sheth. 439-449 [doi]
• Opico: A Study of Emoji-first Communication in a Mobile Social AppSujay Khandekar, Joseph Higg, Yuanzhe Bian, Chae Won Ryu, Jerry O. Talton, Ranjitha Kumar. 450-458 [doi]
• Hanmoji: What Chinese Characters and Emoji Reveal About Each OtherJennifer Lee, Jason Li, An Xiao Mina. 459-460 [doi]
• Exploring (Dis-)Similarities in Emoji-Emotion Association on Twitter and WeiboMingyang Li, Sharath Chandra Guntuku, Vinit Jakhetiya, Lyle Ungar. 461-467 [doi]
• Emoji Prediction for Hebrew Political DomainChaya Liebeskind, Shmuel Liebeskind. 468-477 [doi]
• Emojis in Sentence Processing: An Electrophysiological ApproachBenjamin Weissman. 478-479 [doi]
• FATES on the WEB Chairs' Welcome480-482 [doi]
• The Social Science of Privacy - Effects on Industry and Government Data UseFrauke Kreuter. 483 [doi]
• Algorithms for Fair Team Formation in Online Labour Marketplaces✱Giorgio Barnabò, Adriano Fazzone, Stefano Leonardi, Chris Schwiegelshohn. 484-490 [doi]
• Nuanced Metrics for Measuring Unintended Bias with Real Data for Text ClassificationDaniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman. 491-500 [doi]
• Collaborative Explanation of Deep Models with Limited Interaction for Trade Secret and Privacy PreservationJosep Domingo-Ferrer, Cristina Pérez-Solà, Alberto Blanco-Justicia. 501-507 [doi]
• Privacy-aware Linked WidgetsJavier D. Fernández, Fajar J. Ekaputra, Peb Ruswono Aryan, Amr Azzam, Elmar Kiesling. 508-514 [doi]
• On Preserving Sensitive Information of Multiple Aspect Trajectories In-HouseSpyros Giotakis, Nikos Pelekis. 515-522 [doi]
• Black Hat Trolling, White Hat Trolling, and Hacking the Attention LandscapeJeanna Matthews, Matt Goerzen. 523-528 [doi]
• Trust and Trustworthiness in Social Recommender SystemsTaha Hassan. 529-532 [doi]
• Empirical Analysis of Bias in Voice-based Personal AssistantsLanna Lima, Vasco Furtado, Elizabeth Furtado, Virgilio Almeida. 533-538 [doi]
• Managing Bias in AIDrew S. Roselli, Jeanna Matthews, Nisha Talagala. 539-544 [doi]
• Uncovering Social Media Bots: a Transparency-focused ApproachEric Ferreira Dos Santos, Danilo Carvalho, Lívia Ruback, Jonice Oliveira. 545-552 [doi]
• Quantifying the Impact of User Attentionon Fair Group Representation in Ranked ListsPiotr Sapiezynski, Wesley Zeng, Ronald E. Robertson, Alan Mislove, Christo Wilson. 553-562 [doi]
• Unsupervised Topic Extraction from Privacy PoliciesDavid Sarne, Jonathan Schler, Alon Singer, Ayelet Sela, Ittai Bar Siman Tov. 563-568 [doi]
• Fairness in Social Influence MaximizationAna-Andreea Stoica, Augustin Chaintreau. 569-574 [doi]
• Hegemony in Social Media and the effect of recommendationsAna-Andreea Stoica, Augustin Chaintreau. 575-580 [doi]
• Privacy and Transparency within the 4IR: Two faces of the same coinBianca Rodrigues Teixeira, Daniel Schwabe, Flávia Maria Santoro, Fernanda Araújo Baião, Maria Luiza Machado Campos, Letícia Dias Verona, Carlos Laufer, Simone D. J. Barbosa, Sérgio Lifschitz, Rosa Costa. 581-593 [doi]
• Achieving Differential Privacy and Fairness in Logistic RegressionDepeng Xu, Shuhan Yuan, Xintao Wu. 594-599 [doi]
• Augmenting Intelligence with Bias-aware Humans-in-the-loop (HumBL2019)600-602 [doi]
• Are Two Heads Better Than One? An Exploration of Ambiguity in Crowd-Collected Language Decisions from the Phrase Detectives GameJon Chamberlain. 603 [doi]
• Identifying High Value Opportunities for Human in the Loop Lexicon ExpansionAlfredo Alba, Chad DeLuca, Anna Lisa Gentile, Daniel Gruhl, Linda Kato, Chris Kau, Petar Ristoski, Steve Welch. 604-609 [doi]
• Task Oriented Data Exploration with Human-in-the-Loop. A Data Center Migration Use CaseAlfredo Alba, Chad DeLuca, Anna Lisa Gentile, Daniel Gruhl, Linda Kato, Chris Kau, Petar Ristoski, Steve Welch. 610-613 [doi]
• Uncovering Bias in Ad Feedback Data Analyses & Applications✱Marc Bron, Ke Zhou, Andy Haines, Mounia Lalmas. 614-623 [doi]
• Implicit Bias in Crowdsourced Knowledge GraphsGianluca Demartini. 624-630 [doi]
• I'm Lonely. Who should I talk to?Lauren Fratamico, Deb Roy. 631-634 [doi]
• Putting the Human in the Time Series Analytics LoopShima Imani, Sara Alaee, Eamonn J. Keogh. 635-644 [doi]
• Debiasing the Human-Recommender System Feedback Loop in Collaborative FilteringWenlong Sun, Sami Khenissi, Olfa Nasraoui, Patrick Shafto. 645-651 [doi]
• First Workshop on Hypermedia Multi-Agent Systems (HyperAgents 2019) Workshop Chairs' Welcome & Organization Listing652-654 [doi]
• MAMS: Multi-Agent MicroServices✱Rem W. Collier, Eoin O'Neill, David Lillis, Gregory M. P. O'Hare. 655-662 [doi]
• Digital Companion for IndustryMareike Kritzler, Jack Hodges, Dan Yu, Kimberly García, Hemant Shukla, Florian Michahelles. 663-667 [doi]
• Towards Enabling Internet-Scale Context-as-a-Service: A Position PaperAlexandru Sorici, Andrei Olaru, Adina Magda Florea. 668-671 [doi]
• The First International Workshop on Knowledge Graph Technology and Applications Chairs' Welcome672-673 [doi]
• The First International Workshop on Knowledge Graph Technology and ApplicationsDenny Vrandecic, Jure Leskovec. 674 [doi]
• The First International Workshop on Knowledge Graph Technology and ApplicationsYuqing Gao. 675 [doi]
• Panel: Knowledge Graph Industry ApplicationsJoshua Shinavier, Kim Branson, Wei Zhang, Shima Dastgheib, Yuqing Gao, Bogdan Arsintescu, Fatma Özcan, Edgar Meij. 676 [doi]
• Panel: Computational Methods about Knowledge GraphJie Tang 0001, Jure Leskovec, Kuansan Wang, Deborah L. McGuinness, Hassan Sawaf. 677 [doi]
• Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional NetworkShumin Deng, Ningyu Zhang, Wen Zhang, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen. 678-685 [doi]
• WebProtégé: A Cloud-Based Ontology EditorMatthew Horridge, Rafael S. Gonçalves, Csongor I. Nyulas, Tania Tudorache, Mark A. Musen. 686-689 [doi]
• Content based News Recommendation via Shortest Entity Distance over Knowledge GraphsKevin Joseph, Hui Jiang. 690-699 [doi]
• Building a Knowledge Graph for the Air Traffic Management CommunityRichard M. Keller. 700-704 [doi]
• Scalable Knowledge Graph Construction over Text using Deep Learning based Predicate MappingAman Mehta, Aashay Singhal, Kamalakar Karlapalem. 705-713 [doi]
• How New is the (RDF) News?Tomer Sagi, Yael Wolf, Katja Hose. 714-721 [doi]
• Trust and Privacy in Knowledge GraphsDaniel Schwabe. 722-728 [doi]
• An Attention-based Model for Joint Extraction of Entities and Relations with Implicit Entity FeaturesYan Zhou, Longtao Huang, Tao Guo, Songlin Hu, Jizhong Han. 729-737 [doi]
• LA-Web 2019 Chairs' Welcome738-739 [doi]
• Misinformation Dissemination on the WebJussara Almeida. 740 [doi]
• Algorithmic Bias in RankingsCarlos Castillo. 741 [doi]
• A Link-based Approach to Detect Media Bias in News WebsitesVictória Patrícia Aires, Fabíola G. Nakamura, Eduardo Freire Nakamura. 742-745 [doi]
• Workload Characterization of a Software-as-a-Service Web Application Implemented with a Microservices ArchitectureHarold Aragon, Samuel Braganza, Edwin F. Boza, Jonathan Parrales, Cristina Abad. 746-750 [doi]
• A Constellation of Horrors: Analysis and Visualization of the #Cuéntalo MovementMaria Soledad Bucalo, Luz Calvo, Fernando M. Cucchietti, David Garcia Povedano, Artur García-Sáez, Juan Felipe Gómez, Camilo Arcadio González, Guillermo Marin, Irene Meta, Patricio Reyes, Feliu Serra, Diana Fernanda Vélez. 751-754 [doi]
• Bitcoin Price Prediction Through Opinion MiningGermán Cheuque Cerda, Juan L. Reutter. 755-762 [doi]
• Recommender Systems for Online Video Game Platforms: the Case of STEAMGermán Cheuque, José Guzmán, Denis Parra. 763-771 [doi]
• The Importance of Canonical Product Attributes on User Opinions: an Empirical InvestigationTiago de Melo, Altigran Soares da Silva, Edleno Silva de Moura, Pável Calado. 772-778 [doi]
• Car Theft Reports: a Temporal Analysis from a Social Media PerspectiveJuglar Diaz, Barbara Poblete. 779-782 [doi]
• Characterization of Local Attitudes Toward Immigration Using Social MediaYerka Freire-Vidal, Eduardo Graells-Garrido. 783-790 [doi]
• #Default #Interactiveart #AudiencexperienceManuela Garretón, Andrea Rihm, Denis Parra. 791-798 [doi]
• Global Reactions to the Cambridge Analytica Scandal: A Cross-Language Social Media StudyFelipe González, Yihan Yu, Andrea Figueroa, Claudia López, Cecilia R. Aragon. 799-806 [doi]
• Implementation of the Best Practices for Data on the Web in Brazil and Costa RicaBernadette Farias Lóscio, Caroline Burle, Newton Calegari. 807-810 [doi]
• Mining the Relationship BetweenCar Theft and Places of Social Interest in Santiago ChileKaren Oróstica, Barbara Poblete. 811-814 [doi]
• NIFify: Towards Better Quality Entity Linking DatasetsHenry Rosales-Méndez, Aidan Hogan, Barbara Poblete. 815-818 [doi]
• After Brazil's General Data Protection Law: Authorization in Decentralized Web ApplicationsJefferson Silva, Newton Calegari, Eduardo Gomes. 819-822 [doi]
• The FAIR TRADE Framework for Assessing Decentralised Data SolutionsMaribel Acosta, Tim Berners-Lee, Anastasia Dimou, John Domingue, Luis-Daniel Ibá, Krzysztof Janowicz, Maria-Esther Vidal, Amrapali Zaveri. 823-839 [doi]
• Towards a Decentralized, Trusted, Intelligent and Linked Public Sector: A Report from the Greek TrenchesThemis Beris, Iosif Angelidis, Ilias Chalkidis, Charalampos Nikolaou, Christos Papaloukas, Panagiotis Soursos, Manolis Koubarakis. 840-849 [doi]
• Is the LOD cloud at risk of becoming a museum for datasets? Looking ahead towards a fully collaborative and sustainable LOD cloudJeremy Debattista, Judie Attard, Rob Brennan, Declan O'Sullivan. 850-858 [doi]
• Linking and Negotiating Uncertainty Theories Over Linked DataAhmed El Amine Djebri, Andrea G. B. Tettamanzi, Fabien Gandon. 859-865 [doi]
• The FAIR TRADE Framework for Assessing Decentralised Data SolutionsJohn Domingue, Allan Third, Manoharan Ramachandran. 866-882 [doi]
• Enabling Automatic Discovery and Querying of Web APIs at Web Scale using Linked Data StandardsFranck Michel, Catherine Faron-Zucker, Olivier Corby, Fabien Gandon. 883-892 [doi]
• LocWeb2019 Chairs' Welcome893-894 [doi]
• Indoor Towers, DPIs, and More People in Parks at Night: New Trends in Mobile Phone Location ResearchLeo Ferres. 895 [doi]
• Location Embeddings for Next Trip RecommendationAmine Dadoun, Raphaël Troncy, Olivier Ratier, Riccardo Petitti. 896-903 [doi]
• GViz - An Interactive WebApp to Support GeoSPARQL over Integrated Building InformationKris McGlinn, Darragh Blake, Declan O'Sullivan. 904-912 [doi]
• Geolocation in the BrowserThomas Steiner, Anssi Kostiainen, Marijn Kruisselbrink. 913-918 [doi]
• Hashtag Usage in a Geographically-Local Microblogging AppHelge Reelfs, Timon Mohaupt, Oliver Hohlfeld, Niklas Henckell. 919-927 [doi]
• MDML'2019 Chairs' Welcome928-929 [doi]
• Smarter Markets: Bringing Intelligence into the ExchangeDavid M. Pennock. 930 [doi]
• Auction Theory from the Bidder StandpointSuju Rajan, Noureddine El Karoui. 931 [doi]
• Incentive-Compatible Learning of Reserve Prices for Repeated AuctionsYash Kanoria, Hamid Nazerzadeh. 932-933 [doi]
• Learning to Bid in Revenue Maximizing AuctionThomas Nedelec, Noureddine El Karoui, Vianney Perchet. 934-935 [doi]
• MEPDaW Chairs' Welcome936-937 [doi]
• ML-Based Knowledge Graph Curation: Current Solutions and ChallengesLaure Berti-Équille. 938-939 [doi]
• RDF Graph Stores as Convergent DatatypesJames Anderson. 940-942 [doi]
• Conflict Detection, Avoidance, and Resolution in a Non-Linear RDF Version Control SystemNatanael Arndt, Norman Radtke. 943-951 [doi]
• Decentralized Collaborative Knowledge Management using GitNatanael Arndt, Michael Martin 0001. 952-953 [doi]
• Modelling the Provenance of Linked Data Interlinks for the Library DomainLucy McKenna, Christophe Debruyne, Declan O'Sullivan. 954-958 [doi]
• TISCO: Temporal Scoping of FactsAnisa Rula, Matteo Palmonari, Simone Rubinacci, Axel-Cyrille Ngonga Ngomo, Jens Lehmann 0001, Andrea Maurino, Diego Esteves. 959-960 [doi]
• Summarizing Entity Temporal Evolution in Knowledge GraphsMayesha Tasnim, Diego Collarana, Damien Graux, Fabrizio Orlandi, Maria-Esther Vidal. 961-965 [doi]
• Open traffic lights: a strategy for publishing and preserving traffic lights dataBrecht Van de Vyvere, Pieter Colpaert, Erik Mannens, Ruben Verborgh. 966-971 [doi]
• MisInfo '19 Chairs' Welcome972-973 [doi]
• Looking Backward to See a Way ForwardMiriam Metzger, U. C. Santa Barbara. 974 [doi]
• A Topic-Agnostic Approach for Identifying Fake News PagesSonia Castelo, Thais G. Almeida, Anas Elghafari, Aécio S. R. Santos, Kien Pham, Eduardo Freire Nakamura, Juliana Freire. 975-980 [doi]
• Differences in Health News from Reliable and Unreliable MediaSameer Dhoju, Md Main Uddin Rony, Muhammad Ashad Kabir, Naeemul Hassan. 981-987 [doi]
• A Linked Data Model for Facts, Statements and BeliefsLudivine Duroyon, François Goasdoué, Ioana Manolescu, François Goasdoué, Ioana Manolescu. 988-993 [doi]
• Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-CheckingCasper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma. 994-1000 [doi]
• Examining the Roles of Automation, Crowds and Professionals Towards Sustainable Fact-checkingNaeemul Hassan, Mohammad Yousuf, Md Mahfuzul Haque, Javier A. Suarez Rivas, Md Khadimul Islam. 1001-1006 [doi]
• Red Bots Do It Better: Comparative Analysis of Social Bot Partisan BehaviorLuca Luceri, Ashok Deb, Adam Badawy, Emilio Ferrara. 1007-1012 [doi]
• A Study of Misinformation in WhatsApp groups with a focus on the Brazilian Presidential ElectionsCaio Machado, Beatriz Kira, Vidya Narayanan, Bence Kollanyi, Philip N. Howard. 1013-1019 [doi]
• Institutional Counter-disinformation Strategies in a Networked DemocracyJonathan Stray. 1020-1025 [doi]
• MisinfosecChristopher R. Walker, Sara-Jayne Terp, Pablo C. Breuer, Courtney L. Crooks. 1026-1032 [doi]
• International Workshop on Modeling Social Media (MSM'2019) Chairs' Welcome1033-1034 [doi]
• Characterizing the Behavioral Evolution of Twitter Users and The Truth Behind the 90-9-1 RuleAlessia Antelmi, Delfina Malandrino, Vittorio Scarano. 1035-1038 [doi]
• Personalized Degrees: Effects on Link Formation in Dynamic Networks from an Egocentric PerspectiveMakan Arastuie, Kevin S. Xu 0001. 1039-1046 [doi]
• Onto Model-based Anomalous Link Pattern Mining on Feature-Rich Social Interaction NetworksMartin Atzmueller. 1047-1050 [doi]
• Sensing Social Media Signals for Cryptocurrency NewsJohannes Beck, Roberta Huang, David Lindner, Tian Guo, Zhang Ce, Dirk Helbing, Nino Antulov-Fantulin. 1051-1054 [doi]
• User Donations in a User Generated Video SystemAdele Lu Jia, Xiaoxue Shen, Siqi Shen, Yongquan Fu, Liwen Peng. 1055-1062 [doi]
• CrowdGuard: Characterization and Early Detection of Collective Content Polluters in Online Social NetworksKe Li, Bin Guo, Qiuyun Zhang, Jianping Yuan, Zhiwen Yu 0001. 1063-1070 [doi]
• Supervised Lexicon Extraction for Emotion ClassificationAlberto Purpura, Chiara Masiero, Gianmaria Silvello, Gian Antonio Susto. 1071-1078 [doi]
• Leveraging Motifs to Model the Temporal Dynamics of Diffusion NetworksSoumajyoti Sarkar, Hamidreza Alvari, Paulo Shakarian. 1079-1086 [doi]
• Learning Influence Probabilities and Modelling Influence Diffusion in TwitterZizhu Zhang, Weiliang Zhao, Jian Yang, Cécile Paris, Surya Nepal. 1087-1094 [doi]
• Workshop on Subjectivity, Ambiguity and Disagreement on the Web (SAD2019)1095-1097 [doi]
• Humans, Machines and DisagreementBrad Klingenberg. 1098 [doi]
• What we talk about when we talk about crowdsourcingMaria Stone. 1099 [doi]
• Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online DiscussionsLora Aroyo, Lucas Dixon, Nithum Thain, Olivia Redfield, Rachel Rosen. 1100-1105 [doi]
• Discovering User Bias in Ordinal Voting SystemsAlyssa Lees, Chris Welty. 1106-1110 [doi]
• Learning to Predict Population-Level Label DistributionsTong Liu, Akash Venkatachalam, Pratik Sanjay Bongale, Christopher Homan. 1111-1120 [doi]
• TaskMate: A Mechanism to Improve the Quality of Instructions in CrowdsourcingV. K. Chaithanya Manam, Dwarakanath Jampani, Mariam Zaim, Meng-Han Wu, Alexander J. Quinn. 1121-1130 [doi]
• Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable FormatMike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, Edith Law. 1131-1137 [doi]
• Intra- and Inter-rater Agreement in a Subjective Speech Quality Assessment Task in CrowdsourcingRafael Zequeira Jiménez, Anna Llagostera, Babak Naderi, Sebastian Möller 0001, Jens Berger. 1138-1143 [doi]
• TempWeb 2019 Chairs' Welcome1144-1145 [doi]
• Large Scale Human Sensing Over Time. Challenges and Lessons LearnedOmar Alonso. 1146-1147 [doi]
• Fast Interval Joins for Temporal SPARQL QueriesMelisachew Wudage Chekol, Giuseppe Pirrò, Heiner Stuckenschmidt. 1148-1154 [doi]
• Epitaph or Breaking News? Analyzing and Predicting the Stability of Knowledge Base PropertiesIoannis Dikeoulias, Jannik Strötgen, Simon Razniewski. 1155-1158 [doi]
• The Power of Temporal Features for Classifying News ArticlesLukas Lange, Omar Alonso, Jannik Strötgen. 1159-1160 [doi]
• Exploring Video Game Searches on the WebBehrooz Mansouri, Mohammad Sadegh Zahedi, Ricardo Campos 0001, Mojgan Farhoodi. 1161-1170 [doi]
• Wiki Workshop Chairs' Welcome1171-1172 [doi]
• Open Personalized Navigation on the Sandbox of Wiki PagesChuankai An, Daniel N. Rockmore. 1173-1179 [doi]
• Understanding the Signature of Controversial Wikipedia Articles through Motifs in Editor Revision NetworksJames R. Ashford, Liam D. Turner, Roger M. Whitaker, Alun Preece, Diane Felmlee, Don Towsley. 1180-1187 [doi]
• A Graph-Structured Dataset for Wikipedia ResearchNicolas Aspert, Volodymyr Miz, Benjamin Ricaud, Pierre Vandergheynst. 1188-1193 [doi]
• Learning to Map Wikidata Entities To Predefined TopicsPreeti Bhargava, Nemanja Spasojevic, Sarah Ellinger, Adithya Rao, Abhinand Menon, Saul Fuhrmann, Guoning Hu. 1194-1202 [doi]
• Characterizing and comparing Portuguese and English Wikipedia medicine-related articlesGil Domingues, Carla Teixeira Lopes. 1203-1207 [doi]
• Thanks for Stopping By: A Study of "Thanks" Usage on WikimediaSwati Goel, Ashton Anderson, Leila Zia. 1208-1211 [doi]
• Understanding Travel from Web Queries using Domain Knowledge from WikipediaChander J. Iyer, Srinath Ravindran. 1212-1214 [doi]
• What's in the Content of Wikipedia's Article for Deletion Discussions?Ali Javanmardi, Lu Xiao. 1215-1223 [doi]
• Inferring Advertiser Sentiment in Online Articles using Wikipedia FootnotesShaunak Mishra, Aasish Pappu, Narayan Bhamidipati. 1224-1231 [doi]
• Searching News Articles Using an Event Knowledge Graph Leveraged by WikidataCharlotte Rudnik, Thibault Ehrhart, Olivier Ferret, Denis Teyssou, Raphaël Troncy, Xavier Tannier. 1232-1239 [doi]
• Finding Prerequisite Relations using the Wikipedia ClickstreamMohsen Sayyadiharikandeh, Jonathan Gordon 0001, José Luis Ambite, Kristina Lerman. 1240-1247 [doi]
• How Partisanship and Perceived Political Bias Affect Wikipedia Entries of News SourcesKhonzodakhon Umarova, Eni Mustafaraj. 1248-1253 [doi]
• Detecting and Gauging Impact on Wikipedia Page ViewsXiaoxi Chelsy Xie, Isaac Johnson, Anne Gomez. 1254-1261 [doi]
• The Third Workshop on Women in Web Data Science (WinDS '19) Chairs' Welcome & Organization Listing1262-1263 [doi]
• Information Extraction with Humans in the LoopAnna Lisa Gentile. 1264 [doi]
• Responsible Data ScienceLise Getoor. 1265 [doi]
• Lightning Talk - Looking for the Movie Seven or Sven from the Movie Frozen?Oghenemaro Anuyah, Ion Madrazo Azpiazu, Nevena Dragovic, Maria Soledad Pera. 1266-1267 [doi]
• Lightning Talk - Humor Recognition in Russian LanguageValeriya Baranova-Bolotova, Vladislav Blinov, Pavel Braslavski. 1268-1269 [doi]
• Signed Link Prediction with Sparse Data: The Role of Personality InformationGhazaleh Beigi, Suhas Ranganath, Huan Liu 0001. 1270-1278 [doi]
• Extracting Meaningful Insights on City and Zone Levels Utilizing US Open Government DataSamaa Gazzaz, Praveen Rao. 1279-1285 [doi]
• Lightning Talk - Ruuh: A Conversational Social AgentMeghana Joshi, Sonam Damani, Khyatti Gupta, Nitya Raviprakash. 1286-1287 [doi]
• Lightning Talk - Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset AnalysisShirin Nilizadeh, Hojjat Aghakhani, Eric Gustafson, Christopher Kruegel, Giovanni Vigna. 1288-1289 [doi]
• Lightning Talk-Towards Robust Detection of Cyberbullying in Social MediaMengfan Yao, Charalampos Chelmis, Daphney-Stavroula Zois. 1290-1291 [doi]
• Fake News Detection: An Interdisciplinary ResearchXinyi Zhou, Reza Zafarani. 1292 [doi]
• The Practice of Labeling: Everything You Always Wanted to Know About Labeling (But Were Afraid to Ask)Omar Alonso. 1293 [doi]
• Crowdsourcing Inclusivity: Dealing with Diversity of Opinions, Perspectives and Ambiguity in Annotated DataLora Aroyo, Anca Dumitrache, Oana Inel, Zoltán Szlávik, Benjamin Timmermans, Chris Welty. 1294-1295 [doi]
• Designing Equitable Algorithms for the WebRicardo A. Baeza-Yates, Sharad Goel. 1296 [doi]
• Fairness-Aware Machine Learning: Practical Challenges and Lessons LearnedSarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell. 1297-1298 [doi]
• A/B Testing at Scale: Accelerating Software InnovationSomit Gupta, Ronny Kohavi, Alex Deng, Jeff Omhover, Pawel Janowski. 1299-1300 [doi]
• Economic Theories of Distributive Justice for Fair Machine LearningKrishna P. Gummadi, Hoda Heidari. 1301-1302 [doi]
• Tutorial on Online User Engagement: Metrics and OptimizationLiangjie Hong, Mounia Lalmas. 1303-1305 [doi]
• Modeling and Mining Feature-Rich NetworksRushed Kanawati, Martin Atzmueller. 1306-1307 [doi]
• Privacy-preserving Data Mining in IndustryKrishnaram Kenthapadi, Ilya Mironov, Abhradeep Thakurta. 1308-1310 [doi]
• Human Mobility from theory to practice: Data, Models and ApplicationsLuca Pappalardo, Gianni Barlacchi, Roberto Pellungrini, Filippo Simini. 1311-1312 [doi]
• From Research Articles to Knowledge GraphsVayianos Pertsas, Panos Constantopoulos. 1313-1315 [doi]
• Tutorial: Sequence-Aware Recommender SystemsMassimo Quadrana, Dietmar Jannach, Paolo Cremonesi. 1316 [doi]
• Scalable Subgraph Counting: The Methods Behind The MadnessComandur Seshadhri, Srikanta Tirthapura. 1317-1318 [doi]
• Concept to Code: Deep Learning for Fashion RecommendationOmprakash Sonie, Muthusamy Chelliah, Shamik Sural. 1319-1320 [doi]
• Representation Learning on Networks: Theories, Algorithms, and ApplicationsJie Tang 0001, Yuxiao Dong. 1321-1322 [doi]
• Continuous Analytics of Web StreamsRiccardo Tommasini 0001, Robin Keskisärkkä, Jean-Paul Calbimonte, Eva Blomqvist, Emanuele Della Valle, Albert Bifet. 1323-1325 [doi]
• Socially Responsible Natural Language ProcessingYulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt. 1326 [doi]
• The Challenge of API Management: API Strategies for Decentralized API LandscapesErik Wilde, Mike Amundsen. 1327-1328 [doi]
• Deep Chit-Chat: Deep Learning for ChatbotsWei Wu, Rui Yan. 1329 [doi]
• WWW'19 Tutorial on Explainable Recommendation and SearchYongfeng Zhang, Jiaxin Mao, Qingyao Ai. 1330-1331 [doi]