A Machine-Learning-Based Pipeline Approach to Automated Fact-Checking

A Machine-Learning-Based Pipeline Approach to Automated Fact-Checking

In the past couple of years, there has been a significant increase of the amount of false information on the web. The falsehoods quickly spread through social networks reaching a wider audience than ever before. This poses new challenges to our society as we have to reevaluate which information sour...

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Bibliographic Details
Main Author: Hanselowski, Andreas
Format: Others
Language:en
Published: 2020
Online Access:https://tuprints.ulb.tu-darmstadt.de/14136/1/Thesis%20%2814%29.pdf
Hanselowski, Andreas <http://tuprints.ulb.tu-darmstadt.de/view/person/Hanselowski=3AAndreas=3A=3A.html> (2020): A Machine-Learning-Based Pipeline Approach to Automated Fact-Checking. (Publisher's Version)Darmstadt, Technische Universität, DOI: 10.25534/tuprints-00014136 <https://doi.org/10.25534/tuprints-00014136>, [Ph.D. Thesis]

Internet

https://tuprints.ulb.tu-darmstadt.de/14136/1/Thesis%20%2814%29.pdf
Hanselowski, Andreas <http://tuprints.ulb.tu-darmstadt.de/view/person/Hanselowski=3AAndreas=3A=3A.html> (2020): A Machine-Learning-Based Pipeline Approach to Automated Fact-Checking. (Publisher's Version)Darmstadt, Technische Universität, DOI: 10.25534/tuprints-00014136 <https://doi.org/10.25534/tuprints-00014136>, [Ph.D. Thesis]

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