Semantic Fingerprint

WHAT... if you could stop plagiarism with a simple semantic text analysis?

Problem

Cribbers are still a serious problem in the news business. Instead of investing time and money in tedious research and time-consuming content creation, some platforms and journalists simply use the content of others. Protecting oneself from it and finding illegal duplicates is a difficult task. So how can valuable originals be protected and plagiarists found as easily as possible?

Solution

Each text has a unique semantic fingerprint. This can be easily evaluated and visualized for individual articles. Instead of having to search for possible duplicates or plagiarisms, similar texts could simply be determined by comparing semantic patterns. Results that come too close to the semantic fingerprint of the original text are then presented to the initial creator. The author can then check the results and, if necessary, take further steps to protect his or her journalistic content.

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