- Feb 2021
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papers.ssrn.com papers.ssrn.com
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Krupenkin, Masha, Kai Zhu, Dylan Walker, and David M. Rothschild. ‘If a Tree Falls in the Forest: COVID-19, Media Choices, and Presidential Agenda Setting’. SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, 22 September 2020. https://doi.org/10.2139/ssrn.3697069.
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www.tandfonline.com www.tandfonline.com
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Xu, Z., & Guo, H. (2018). Using Text Mining to Compare Online Pro- and Anti-Vaccine Headlines: Word Usage, Sentiments, and Online Popularity. Communication Studies, 69(1), 103–122. https://doi.org/10.1080/10510974.2017.1414068
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- Aug 2020
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www.tandfonline.com www.tandfonline.com
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Arqoub, O. A., Elega, A. A., Özad, B. E., Dwikat, H., & Oloyede, F. A. (2020). Mapping the Scholarship of Fake News Research: A Systematic Review. Journalism Practice, 0(0), 1–31. https://doi.org/10.1080/17512786.2020.1805791
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- Jun 2020
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textnets.readthedocs.io textnets.readthedocs.io
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Bail, C. A. (2016). Combining natural language processing and network analysis to examine how advocacy organizations stimulate conversation on social media. Proceedings of the National Academy of Sciences, 113(42), 11823–11828. https://doi.org/10.1073/pnas.1607151113
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- May 2020
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www.preprints.org www.preprints.org
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Samuel, J.; Ali, G.G.M.N.; Rahman, M.M.; Esawi, E.; Samuel, Y. COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification. Preprints 2020, 2020050015 (doi: 10.20944/preprints202005.0015.v1)
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psyarxiv.com psyarxiv.com
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Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (2020, April 14). Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections. https://doi.org/10.31234/osf.io/tfs7c
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Kennedy, B., Atari, M., Davani, A. M., Hoover, J., Omrani, A., Graham, J., & Dehghani, M. (2020, May 7). Moral Concerns are Differentially Observable in Language. https://doi.org/10.31234/osf.io/uqmty
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- Aug 2018
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www.youtube.com www.youtube.com
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This text analysis that it contains words written in hebrew and deciphering of the first sentence of the text using hebrew translation seems to align with what this author is saying about the text being passed down through the family.
She made recommendations to the priest, man of the house and me and people.
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www.independent.co.uk www.independent.co.uk
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She made recommendations to the priest, man of the house and me and people.
This seems to align with the analysis of Sukhwant Singh
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www.voynich.nu www.voynich.nu
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Comments, questions, suggestions? Your feedback is welcome.
Sukhwant Singh's analysis here seems to fit with a lot of other's partial analysis/observations such as multiple characters representing the same character, certain characters only appearing at the end of words etc. It seems quite compelling. The dates however, are a century too early although that does not necessarily dispel his theory that it is written in Landa Khojki.
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Many "words" differ by only one character and are found in each other's vicinity
This might suggest the same thing as Tiltman's analysis in that a single character may take several forms.
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Tiltman treats f as a variant form of k and p as a variant form of t
When learning that there were over 100 characters used in the manuscript my first thought was that perhaps variations of a character were used to represent the same character.
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Speaking generally, each character behaves as if it has its own place in an 'order of precedence' within words; some symbols such as o and y seem to be able to occupy two functionally different places.
This is very interesting. It seems to suggest that each word may be scrambled based on the characters used.
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archive.org archive.org
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Here is a documentary on the Voynich Manuscript published in 2014.
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