This project was created by Carolina Arriaga, Alice Hua, Manpreet Khural and Randy Moran.
Objective: Understand if people's memory is affected after exposed to a controlled tweet post with factors: truth (Fact/Fake) and sentiment (Positive/Negative).
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
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├── notebooks <- .Rmd notebooks.
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├── references <- Data dictionaries, manuals, and all other explanatory materials.
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├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
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└── src <- Source code for use in this project.
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└── data <- Scripts to download or generate data
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent