This repository contains assets that were used on research about personalization on Twitter Search.
Our article Is There Personalization in Twitter Search? A Study on polarized opinions about the Brazilian Welfare Reform on WebSci2020 was accepted. https://dl.acm.org/doi/abs/10.1145/3394231.3397917
Structure:
datasets/daytrends
: dataset of daily Brazilian Twitter trending topics from2019-02-01
to2019-08-30
datasets/training-data
: dataset of tweets for hashtags: #EuApoioANovaPrevidencia and #LutePelaSuaAposentadoria. From each, we extracted the top 100 profiles for #EuApoioANovaPrevidencia (reforma_top_100_profiles_a_favor.json
) and #LutePelaSuaAposentadoria (reforma_top_100_profiles_contra.json
)datasets/twitter-search-results
: dataset of the captures search results. Method for capturing were described on coming article and we use our tool (multiquerier-tool) based on Puppetter to capture these data._dataset_1__en_pt-merged.json
contains the raw captured dataexported_dataset_metrics.csv
contains the processed results we calculated metrics.
multiquerier-tool
: tool that we developed instantiating Twitter agents that run queries and capture the results.
Contacts: jonatas.santos@uniriotec.br