metadata

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.

Stephane Selim (EPFL)

Célia Houssiaux (EPFL)

Tuğrulcan Elmas (EPFL / IU Bloomington)