ACM International Conference on Information and Knowledge Management (2020)
Content
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Galway, Ireland, October 19-23, 2020
#DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19
Lin Tian
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Xiuzhen Zhang
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Jey Han Lau
An Adaptive Semantic Stream Reasoning Framework for Deep Neural Networks
Danh Le Phuoc
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Thomas Eiter
An Anonymiser Tool for Sensitive Graph Data
Charini Nanayakkara
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Peter Christen
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Thilina Ranbaduge
Assessing the Impact of an Online Inquiry Teaching Intervention on Sixth Graders' Search Performance
Roberto I. González-Ibáñez
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Daniel Gacitúa
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Gonzalo Martínez-Ramírez
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Jacqueline Köhler
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Eero Sormunen
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Carita Kiili
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Mirjamaija Mikkilä-Erdmann
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Norbert Erdmann
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Marja Vauras
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Paavo H. T. Leppänen
CNN based Parkinson's Disease Assessment using Empirical Mode Decomposition
Ayush Tripathi
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Sunil Kumar Kopparapu
Challenges and Opportunities for Journalistic Knowledge Platforms
Marc Gallofré Ocaña
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Andreas L. Opdahl
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics
Kaize Ding
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Kai Shu
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Yichuan Li
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Amrita Bhattacharjee
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Huan Liu
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
Shahan Ali Memon
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Kathleen M. Carley
Classification of Important Segments in Educational Videos using Multimodal Features
Junaid Ahmed Ghauri
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Sherzod Hakimov
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Ralph Ewerth
Conversational Interfaces for Search As Learning
Sihang Qiu
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Alessandro Bozzon
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Ujwal Gadiraju
Creative Storytelling with Language Models and Knowledge Graphs
Xinran Yang
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Ilaria Tiddi
Data Privacy in Journalistic Knowledge Platforms
Marc Gallofré Ocaña
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Tareq Al-Moslmi
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Andreas L. Opdahl
ESSTER at the EYRE 2020 Entity Summarization Task
Qingxia Liu
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Gong Cheng
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Yuzhong Qu
Embedding Partial Propagation Network for Fake News Early Detection
Amila Silva
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Yi Han
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Ling Luo
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Shanika Karunasekera
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Christopher Leckie
Epidemiology Inspired Framework for Fake News Mitigationin Social Networks
Bhavtosh Rath
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Jaideep Srivastava
Evaluation Framework for Context-aware Speaker Recognition in Noisy Smart Living Environments
Gianni Fenu
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Roberta Galici
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Mirko Marras
Extracting Complex Information from Natural Language Text: A Survey
Mechket Emna Mahouachi
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Fabian M. Suchanek
False News Classification and Dissemination: The case of the 2019 Indonesian Presidential Election
Rayan Suryadikara
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Suzan Verberne
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Frank W. Takes
Frailty Detection using Presence in a Room
Ramesh Balaji
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Sio Keow Evelyn Tan
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Srinivasa Raghavan Venkatachari
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Hwee Pink Tan
Graph Analytics on Proximity Data to Fight Contagion
Snehasis Banerjee
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Vivek Chandel
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Avik Ghose
Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models
Amit Sangroya
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Mouli Rastogi
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C. Anantaram
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Lovekesh Vig
How to Support Search Activity of Users Without Prior Domain Knowledge When They are Solving Learning Tasks?
Cheyenne Dosso
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Aline Chevalier
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Lynda Tamine
Improving Spare Part Search for Maintenance Services using Topic Modelling
Anastasiia Grishina
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Milosh Stolikj
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Qi Gao
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Milan Petkovic
Information Retrieval from Hypermedia, with a Navigable Overview, at the End of Primary School
Sandrine Moschetti-Rome
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Franck Amadieu
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Cécile van de Leemput
Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube
Sultan Alshamrani
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Mohammed Abuhamad
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Ahmed Abusnaina
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David Mohaisen
LatentVis: Investigating and Comparing Variational Auto-Encoders via Their Latent Space
Xiao Liu
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Junpeng Wang
Learning with Temporal Knowledge Graphs
Yunpu Ma
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Zhen Han
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Volker Tresp
Leveraging a Domain Ontology in (Neural) Learning from Heterogeneous Data
Tomas Martin
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Petko Valtchev
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Abdoulaye Baniré Diallo
Lifting News into a Journalistic Knowledge Platform
Tareq Al-Moslmi
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Marc Gallofré Ocaña
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels
Valentyn Melnychuk
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Evgeniy Faerman
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Ilja Manakov
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Thomas Seidl
Modeling Knowledge Change Behaviors in Learning-related Tasks
Chang Liu
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Xiaoxuan Song
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Hanrui Liu
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Nicholas J. Belkin
More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings
Andreea Iana
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Heiko Paulheim
NLP for Student and Teacher: Concept for an AI based Information Literacy Tutoring System
Paul Libbrecht
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Thierry Declerck
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Tim Schlippe
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Thomas Mandl
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Daniel Schiffner
Neuro-symbolic Visual Reasoning for Multimedia Event Processing: Overview, Prospects and Challenges
Muhammad Jaleed Khan
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Edward Curry
Now You See Me (CME): Concept-based Model Extraction
Dmitry Kazhdan
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Botty Dimanov
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Mateja Jamnik
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Pietro Liò
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Adrian Weller
On Analyzing the Household Energy Consumption Detection for Citizen Behavioral Analysis Carbon Footprint Awareness by Deep Residual Networks
Arijit Ukil
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Antonio J. Jara
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Leandro Marín
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms
Giorgio Visani
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Enrico Bagli
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Federico Chesani
Performance Prediction of Elementary School Students in Search Tasks
Roberto I. González-Ibáñez
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Luz Chourio-Acevedo
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María Escobar-Macaya
Simplifying Architecture Search for Graph Neural Network
Huan Zhao
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Lanning Wei
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Quanming Yao
Symbolic Vs Sub-symbolic AI Methods: Friends or Enemies?
Eleni Ilkou
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Maria Koutraki
The Ebb and Flow of the COVID-19 Misinformation Themes
Thomas Marcoux
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Esther Mead
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Nitin Agarwal
The Other Side of the Same Coin: From Learning-centric Search Systems to Search-centric Learning Systems
Catherine L. Smith
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Soo Young Rieh
Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness
Yavuz Selim Kartal
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Mücahid Kutlu
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Busra Guvenen
Visualizing and Quantifying Vocabulary Learning During Search
Nilavra Bhattacharya
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Jacek Gwizdka
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows
David Bayani
Working Towards the Ideal Search History Interface
Tetiana Tolmachova
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Eleni Ilkou
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Luyan Xu