2020 Volume 57 Issue 2
- Anthology ID:
- 2020.ipm_journal-ir0anthology0volumeA57A2
- Year:
- 2020
Detecting breaking news rumors of emerging topics in social media
Sarah A. Alkhodair
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Steven H. H. Ding
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Benjamin C. M. Fung
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Junqiang Liu
An overview of online fake news: Characterization, detection, and discussion
Xichen Zhang
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Ali A. Ghorbani
Neural opinion dynamics model for the prediction of user-level stance dynamics
Lixing Zhu
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Yulan He
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Deyu Zhou
An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit
Stephen A. Curiskis
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Barry Drake
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Thomas R. Osborn
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Paul J. Kennedy
The rise and fall of network stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time
Michael Fire
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Carlos Guestrin
Churn modeling with probabilistic meta paths-based representation learning
Sandra Mitrovic
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Jochen De Weerdt
Boosted seed oversampling for local community ranking
Emmanouil Krasanakis
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Emmanouil Schinas
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Symeon Papadopoulos
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Yiannis Kompatsiaris
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Andreas L. Symeonidis
Compact group discovery in attributed graphs and social networks
Abeer Khan
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Lukasz Golab
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Mehdi Kargar
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Jaroslaw Szlichta
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Morteza Zihayat
User community detection via embedding of social network structure and temporal content
Hossein Fani
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Eric Jiang
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Ebrahim Bagheri
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Feras N. Al-Obeidat
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Weichang Du
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Mehdi Kargar
Fine-grained tourism prediction: Impact of social and environmental features
Amir Khatibi
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Fabiano Belém
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Ana Paula Couto da Silva
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Jussara M. Almeida
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Marcos André Gonçalves
On the negative impact of social influence in recommender systems: A study of bribery in collaborative hybrid algorithms
Guilherme Ramos
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Ludovico Boratto
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Carlos Caleiro
A two phase investment game for competitive opinion dynamics in social networks
Swapnil Dhamal
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Walid Ben-Ameur
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Tijani Chahed
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Eitan Altman
Vertical and horizontal relationships amongst task-based information needs
Katriina Byström
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Sanna Kumpulainen
Class-aware tensor factorization for multi-relational classification
Georgios Katsimpras
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Georgios Paliouras
Implicit information need as explicit problems, help, and behavioral signals
Shawon Sarkar
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Matthew Mitsui
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Jiqun Liu
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Chirag Shah
Consumer health information needs: A systematic review of measures
Wenjing Pian
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Shijie Song
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Yan Zhang
Information needs of drug users on a local dark Web marketplace
Ari Haasio
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J. Tuomas Harviainen
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Reijo Savolainen
"Nothing's available": Young fathers' experiences with unmet information needs and barriers to resolving them
Caroline Mniszak
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Heather L. O'Brien
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Devon L. Greyson
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Cathy Chabot
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Jean Shoveller
Using weighted k-means to identify Chinese leading venture capital firms incorporating with centrality measures
Hu Yang
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Jar-Der Luo
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Ying Fan
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Li Zhu
Changing views: Persuasion modeling and argument extraction from online discussions
Subhabrata Dutta
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Dipankar Das
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Tanmoy Chakraborty
Taylor's Q1 "Visceral" level of information need: What is it?
Charles Cole
Information need: Introduction to the special issue
Pia Borlund
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Ian Ruthven
Information Technology (IT) enabled crowdsourcing: A conceptual framework
Minoo Modaresnezhad
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Lakshmi S. Iyer
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Prashant Palvia
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Vasyl Taras
Graph neural news recommendation with long-term and short-term interest modeling
Linmei Hu
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Chen Li
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Chuan Shi
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Cheng Yang
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Chao Shao
Identifying crisis-related informative tweets using learning on distributions
Seyed Hossein Ghafarian
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Hadi Sadoghi Yazdi
Pachinko Prediction: A Bayesian method for event prediction from social media data
Jonathan Tuke
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Andrew Nguyen
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Mehwish Nasim
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Drew Mellor
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Asanga Wickramasinghe
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Nigel G. Bean
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Lewis Mitchell
Effectiveness evaluation without human relevance judgments: A systematic analysis of existing methods and of their combinations
Kevin Roitero
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Andrea Brunello
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Giuseppe Serra
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Stefano Mizzaro
An effective approach to candidate retrieval for cross-language plagiarism detection: A fusion of conceptual and keyword-based schemes
Meysam Roostaee
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Mohammad Hadi Sadreddini
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Seyed Mostafa Fakhrahmad
Heterogeneous graph-based joint representation learning for users and POIs in location-based social network
Yaqiong Qiao
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Xiangyang Luo
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Chenliang Li
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Hechan Tian
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Jiangtao Ma
A social-semantic recommender system for advertisements
Francisco García-Sánchez
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Ricardo Colomo Palacios
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Rafael Valencia-García
Towards a model for spoken conversational search
Johanne R. Trippas
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Damiano Spina
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Paul Thomas
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Mark Sanderson
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Hideo Joho
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Lawrence Cavedon
Explore instance similarity: An instance correlation based hashing method for multi-label cross-model retrieval
Chengkai Huang
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Xuan Luo
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Jiajia Zhang
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Qing Liao
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Xuan Wang
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Zoe Lin Jiang
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Shuhan Qi
What motivates physicians to share free health information on online health platforms?
Xiaofei Zhang
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Feng Guo
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Tianxue Xu
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Yongli Li
Unwanted advances in higher education: Uncovering sexual harassment experiences in academia with text mining
Amir Karami
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Cynthia Nicole White
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Kayla Ford
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Suzanne C. Swan
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Melek Yildiz Spinel
Identifying breakthrough scientific papers
Pavel Savov
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Adam Jatowt
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Radoslaw Nielek
Investigating the lack of diversity in user behavior: The case of musical content on online platforms
Rémy Poulain
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Fabien Tarissan
The evolution of political memes: Detecting and characterizing internet memes with multi-modal deep learning
David M. Beskow
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Sumeet Kumar
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Kathleen M. Carley
Foreword to the special issue on mining actionable insights from social networks
Marcelo Gabriel Armentano
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Ebrahim Bagheri
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Frank W. Takes
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Virginia Yannibelli
Revealing the political affinity of online entities through their Twitter followers
Giorgos Stamatelatos
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Sotirios Gyftopoulos
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George Drosatos
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Pavlos S. Efraimidis
Temporal and spatial evolution of online public sentiment on emergencies
Shiyue Li
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Zixuan Liu
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Yanling Li
Image caption generation with dual attention mechanism
Maofu Liu
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Lingjun Li
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Huijun Hu
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Weili Guan
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Jing Tian
Does the review deserve more helpfulness when its title resembles the content? Locating helpful reviews by text mining
Yusheng Zhou
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Shuiqing Yang
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Yixiao Li
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Yuangao Chen
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Jianrong Yao
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Atika Qazi
Search task success evaluation by exploiting multi-view active semi-supervised learning
Ling Chen
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Alin Fan
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Hongyu Shi
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Gencai Chen
An end-to-end pseudo relevance feedback framework for neural document retrieval
Le Wang
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Ze Luo
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Canjia Li
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Ben He
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Le Sun
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Hao Yu
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Yingfei Sun
Answering recreational web searches with relevant things to do results
Omar Alonso
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Vasileios Kandylas
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Serge-Eric Tremblay
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Stewart Whiting