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| title: ViralTweets | |
| app_file: main.py | |
| sdk: gradio | |
| sdk_version: 5.12.0 | |
| # ViralTweets | |
| This repository contains the data for the paper "**Measuring and Detecting Virality on Social Media: The Case of Twitter's Viral Tweets Topic**". | |
| Main files: | |
| ``data/viral.csv``: IDs of tweets scraped from viral topics | |
| ``data/control.csv``: IDs of tweets posted by users who went viral at least once | |
| ``all_metric_stats.csv``: The stats of the metrics tested | |
| ``viral_tweets_html_id_extractor.ipynb``: scraper for viral tweets | |
| Others: | |
| ``classification``: reproduction code for classification | |
| ``metric_analysis``: intermediate results and codes for metric stats | |
| ``othercode``: other code | |
| Please email me tugrulcanelmas at gmail.com to get full access to data if you wish. | |
| Please cite our paper if you use our data. | |
| ### Contributors: | |
| Stephane Selim (EPFL) | |
| Célia Houssiaux (EPFL) | |
| Tuğrulcan Elmas (EPFL / IU Bloomington) | |