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Ethical Considerations in QAnon Authorship Attribution Research

7 Dec 2024

This portion adheres to ethical guidelines, protects privacy, and ensures data reproducibility while analyzing QAnon authorship with public materials.

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Rolling Stylometry and Machine Learning Analyzes QAnon Texts Patterns

7 Dec 2024

Using rolling stylometry and machine learning to analyze QAnon texts, identifying stylistic shifts and attributing authorship through linguistic features.

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Analyzing QDrops Texts shows Distinct Linguistic Features than Traditional Ones

7 Dec 2024

This section tackles the challenges of attributing authorship to Q drops, a unique genre with distinct linguistic features that complicate traditional analysis.

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QAnon Text Analysis shows Imbalanced Datasets and Generic differences

7 Dec 2024

This section addresses imbalanced datasets and generic differences in QAnon text analysis, creating large and controlled subcorpora for machine-learning models.

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Addressing Quotations and Copy-Paste in QAnon Authorship Attribution

7 Dec 2024

This section employs algorithms to detect and remove shared quotations in QAnon texts, mitigating biases and ensuring accurate authorship profiling.

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Challenges in Building a QAnon Authorship Corpus

7 Dec 2024

This section highlights the challenges of building a reliable text corpus for QAnon authorship analysis due to deleted accounts and limited archival data.

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Linguistic Analysis Reveals Authorship Changes and Collaboration in QDrop Posts

7 Dec 2024

This sectionhighlights Ron W. and Paul F. as key QDrop authors, explores collaborative patterns, and discusses limitations in identifying contributors to QAnon.

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Machine Learning and Linguistic Profiles Sheds Light on Q's Possible Authors

7 Dec 2024

Machine learning identifies linguistic patterns in QAnon texts, suggesting key authors like Ron W. and Paul F., and uncovering distinct writing styles.

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Stylometry Reveals Clues About the Authorship Behind QAnon

7 Dec 2024

Using stylometric analysis, this part explores the linguistic signatures of QAnon texts, revealing potential multiple authors & new insights into their origins