Software Open Access

litrl/litrl_code: Litrl Browser Experimental Public

Rubin, Victoria; Brogly, Chris; Conroy, Nadia; Chen, Yimin; Cornwell, Sarah E.; Asubiaro, Toluwase V.

The Litrl (pronouned "literal") 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. The current online news environment is one that incentivizes speed and spectacle in reporting at the cost of fact-checking and verification, encouraging the proliferation of misinformation and disinformation. The LiT.RL News Verification (NV) Browser is a system that offers a first step counter-measure by automatically detecting and highlighting clickbait (to 94% accuracy on a test set of 5670 texts), satire (to 84% accuracy on a test set of 95 texts), and falsified text (to 71% accuracy on a test set of 28 texts). The browser was built to study the effectiveness of these deception detectors when applied to real-world internet use, where the accuracy of these detectors may vary considerably given the range of text online. Digital literacy is key for everyone to effectively evaluate potential misinformation online, and the Litrl Browser is NOT a replacement for that. All processing is completed on the local machine - clickbait, satirical news, and falsified news results are not sent to or from a remote server. Results may be saved locally to a standard SQLite database for further analysis. Please note that Litrl Browser is not perfect and is not always correct.

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