Veracity assessment of online data
| Autor: | Joel Brynielsson, Edward Tjörnhammar, Marianela Garcia Lozano, Ulrik Franke, Stefan Varga, Magnus Rosell, Vladimir Vlassov |
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| Rok vydání: | 2020 |
| Předmět: |
Information Systems and Management
Computer science Credibility Online data 02 engineering and technology Management Information Systems Task (project management) Domain (software engineering) Social media Arts and Humanities (miscellaneous) 020204 information systems Veracity assessment 0202 electrical engineering electronic engineering information engineering Developmental and Educational Psychology Set (psychology) Scope (project management) business.industry Deep learning Supervised learning Data quality Data science Fake news 020201 artificial intelligence & image processing Artificial intelligence business Information Systems |
| Zdroj: | Decision Support Systems |
| ISSN: | 0167-9236 |
| DOI: | 10.1016/j.dss.2019.113132 |
| Popis: | Fake news, malicious rumors, fabricated reviews, generated images and videos, are today spread at an unprecedented rate, making the task of manually assessing data veracity for decision-making purposes a daunting task. Hence, it is urgent to explore possibilities to perform automatic veracity assessment. In this work we review the literature in search for methods and techniques representing state of the art with regard to computerized veracity assessment. We study what others have done within the area of veracity assessment, especially targeted towards social media and open source data, to understand research trends and determine needs for future research. The most common veracity assessment method among the studied set of papers is to perform text analysis using supervised learning. Regarding methods for machine learning much has happened in the last couple of years related to the advancements made in deep learning. However, very few papers make use of these advancements. Also, the papers in general tend to have a narrow scope, as they focus on solving a small task with only one type of data from one main source. The overall veracity assessment problem is complex, requiring a combination of data sources, data types, indicators, and methods. Only a few papers take on such a broad scope, thus, demonstrating the relative immaturity of the veracity assessment domain. |
| Databáze: | OpenAIRE |
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