A News Verification Browser for the Detection of Clickbait, Satire, and Falsified News

Authors

Victoria Rubin, Western University, Faculty of Information and Media StudiesFollow
Chris Brogly, Western University, Faculty of Information and Media StudiesFollow
Nadia Conroy, Western University, Faculty of Information and Media StudiesFollow
Yimin Chen, Western University, Faculty of Information and Media StudiesFollow
Sarah E. Cornwell, Western University, Faculty of Information and Media StudiesFollow
Toluwase V. Asubiaro, Western University, Faculty of Information and Media StudiesFollow

Document Type

Article

Publication Date

3-9-2019

Volume

4

Issue

35

Journal

The Journal of Open Source Software

First Page

1

URL with Digital Object Identifier

https://doi.org/10.21105/joss.01208

Last Page

1

Abstract

The LiT.RL News Verification Browser is a research tool for news readers, journalists, editors or information professionals. The tool analyzes the language used in digital news web pages to determine if they are clickbait, satirical news, or falsified news, and visualizes the results by highlighting content in color-coded categories. Although the clickbait, satire, and falsification detectors perform to certain accuracy levels on test data, during real-world internet use accuracy may vary. The browser is not a replacement for digital literacy and is not always correct. All processing is completed on the local machine - results are not sent to or from a remote server. Results may be saved locally to a standard SQLite database for further analysis.

Notes

Authors retain copyright and release the work under a Creative Commons Attribution 4.0 International License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Citation of this paper:

Rubin et al., (2019). A News Verification Browser for the Detection of Clickbait, Satire, and Falsified News. Journal of Open Source Software, 4(35), 1208.