Detecting Plagiarism in News
summary
A presentation about detecting plagiarism in news articles using Big Data techniques. It covers tools and methods from data science and machine learning to identify copied or duplicated news content at scale, suitable for high-load environments.
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chapters (17)
- 0:00Introduction
- 3:02TASS news role
- 4:46Plagiarism impact
- 7:37News citations sources
- 13:01Plagiarism pipeline
- 15:36Text comparison Levenshtein
- 21:24Algorithm optimization big data
- 23:30Results analysis
- 26:20Visualization expert review
- 29:54False positives negatives
- 31:41Improvements quotes long texts
- 33:06Headline comparison
- 35:34Current limits
- 36:19Q&A
- 41:49Load distribution incremental
- 43:35Threshold text length
- 44:18Infrastructure questions
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