Part of PIPP project, Using social media data to show the indicating power of psychological transformation on real-world events
Austin data preparation, description, and multidimensional scaling. Using social media data to show the indicating power of psychological transformation on real-world events.
We get COVID-related Twitter posts in Austin. Because we have 2TB of data, we process it in Google Drive.
The process of getting Covid-related Twitter posts in Austin, from 01/2020 to 11/2022.
Summary words: See UNDERSTANDING THE LIWC SUMMARY MEASURES for details: https://www.liwc.app/help/liwc#Summary-Measures
analytical thinking: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0115844 These indicators are obtained by weighting, PCA. CDI = 30 + article + preposition - personal pronoun - impersonal pronoun – auxiliary verb – conjunction – adverb – negation the degree to which people use words that suggest formal, logical, and hierarchical thinking patterns.
Clout: https://journals.sagepub.com/doi/10.1177/0261927X13502654> Clout refers to the relative social status, confidence, or leadership that people display through their writing or talking. Computerized text analyses across the five studies found that people with higher status consistently used fewer first-person singular, and more first-person plural and second-person singular pronouns.
authenticity: https://journals.sagepub.com/doi/10.1177/0146167203029005010 Compared to truth-tellers, liars showed lower cognitive complexity, used fewer self-references and other references, and used more negative emotion words.
emotional tone the higher the number, the more positive the tone. Numbers below 50 suggest a more negative emotional tone. https://journals.sagepub.com/doi/10.1111/j.0956-7976.2004.00741.x
MDS can help us visualize the liwc category. I am working on a better visualization.