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ORCIDJournal of Data and Information Quality, Volume 11
Volume 11, Number 1, January 2019
- Divesh Srivastava, Monica Scannapieco, Thomas C. Redman:
Ensuring High-Quality Private Data for Responsible Data Science: Vision and Challenges. 1:1-1:9
- Julio César Cortés Ríos
, Norman W. Paton, Alvaro A. A. Fernandes, Edward Abel, John A. Keane:
Crowdsourced Targeted Feedback Collection for Multicriteria Data Source Selection. 2:1-2:27 - Michele Dallachiesa, Charu C. Aggarwal, Themis Palpanas:
Improving Classification Quality in Uncertain Graphs. 3:1-3:20
- K. Michael Casey, Kevin Casey Jr.:
Financial Regulatory and Risk Management Challenges Stemming from Firm-Specific Digital Misinformation. 4:1-4:4
Volume 11, Number 2, May 2019
- Wenfei Fan:
Dependencies for Graphs: Challenges and Opportunities. 5:1-5:12
- Christian Sillaber, Andrea Mussmann, Ruth Breu:
Experience: Data and Information Quality Challenges in Governance, Risk, and Compliance Management. 6:1-6:14
- Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim, Annika Todd:
Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization. 7:1-7:22 - Daniel Müller, Pratiksha Jain, Yieh-Funk Te:
Augmenting Data Quality through High-Precision Gender Categorization. 8:1-8:18
Volume 11, Number 3, July 2019
- Naeemul Hassan, Chengkai Li, Jun Yang, Cong Yu:
Introduction to the Special Issue on Combating Digital Misinformation and Disinformation. 9:1-9:3 - Savvas Zannettou, Michael Sirivianos, Jeremy Blackburn, Nicolas Kourtellis:
The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans. 10:1-10:37 - Hao Xue, Qiaozhi Wang, Bo Luo, Hyunjin Seo, Fengjun Li:
Content-Aware Trust Propagation Toward Online Review Spam Detection. 11:1-11:31 - Pepa Atanasova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami, James R. Glass:
Automatic Fact-Checking Using Context and Discourse Information. 12:1-12:27 - Peng Lin, Qi Song, Yinghui Wu, Jiaxing Pi:
Discovering Patterns for Fact Checking in Knowledge Graphs. 13:1-13:27 - Luís Borges, Bruno Martins, Pável Calado:
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News. 14:1-14:26
- Serge Abiteboul, Julia Stoyanovich:
Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation. 15:1-15:9
Volume 11, Number 4, September 2019
- Elisa Bertino, Ashish Kundu, Zehra Sura:
Data Transparency with Blockchain and AI Ethics. 16:1-16:8 - Amir Ebrahimi Fard, Scott W. Cunningham:
Assessing the Readiness of Academia in the Topic of False and Unverified Information. 17:1-17:27 - Matthew Babcock, David M. Beskow, Kathleen M. Carley:
Different Faces of False: The Spread and Curtailment of False Information in the Black Panther Twitter Discussion. 18:1-18:15 - Michael Franklin Bosu, Stephen G. MacDonell:
Experience: Quality Benchmarking of Datasets Used in Software Effort Estimation. 19:1-19:38 - Junhua Ding, XinChuan Li, Xiaojun Kang, Venkat N. Gudivada:
A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning. 20:1-20:22 - Zahaib Akhtar, Anh Minh Le, Yun Seong Nam, Jessica Chen, Ramesh Govindan, Ethan Katz-Bassett, Sanjay G. Rao, Jibin Zhan:
Improving Adaptive Video Streaming through Session Classification. 21:1-21:29
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