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Citation

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

Author:
Rubin, Victoria; Brogly, Chris; Conroy, Nadia; Cornwell, Sarah; Asubiaro, Toluwase
Publication:
Journal of Open Source Software
Year:
2019

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.