On the Use of Similarity Search to Detect Fake Scientific Papers

@inproceedings{Williams2015OnTU,
  title={On the Use of Similarity Search to Detect Fake Scientific Papers},
  author={Kyle Williams and C. Lee Giles},
  booktitle={SISAP},
  year={2015}
}
  • Kyle Williams, C. Lee Giles
  • Published in SISAP 2015
  • Computer Science
  • Fake scientific papers have recently become of interest within the academic community as a result of the identification of fake papers in the digital libraries of major academic publishers [8]. Detecting and removing these papers is important for many reasons. We describe an investigation into the use of similarity search for detecting fake scientific papers by comparing several methods for signature construction and similarity scoring and describe a pseudo-relevance feedback technique that can… CONTINUE READING
    Trends in Gaming Indicators: On Failed Attempts at Deception and their Computerised Detection
    • 4
    • Open Access
    Detection of automatically generated texts
    Engineering a Tool to Detect Automatically Generated Papers
    • 10
    Detecting automatically generated sentences with grammatical structure similarity
    • 6
    • Open Access
    HUSO 2017 Proceedings

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 10 REFERENCES
    Near duplicate detection in an academic digital library
    • 27
    • Open Access
    Detecting near-duplicates for web crawling
    • 530
    • Open Access
    Human-competitive tagging using automatic keyphrase extraction
    • 255
    • Open Access
    An Effective Method to Identify Machine Automatically Generated Paper
    • 10
    Overview of the 6th International Competition on Plagiarism Detection
    • 365
    • Open Access
    Syntactic Clustering of the Web
    • 1,449
    • Open Access
    Publishers withdraw more than 120 gibberish papers
    • 97
    • Open Access
    Publish or Perish—An Ailing Enterprise?
    • 42
    • Open Access
    Investigating journals: The dark side of publishing
    • 204
    • Open Access