The #HimToo hashtag is a prime example of the Internet's fast-paced and viral nature. Until 2016 it represented a male who was also doing something. Then, until the emergence of #MeToo, it had a political meaning. From #MeToo on it stood for an Internet joke, false rape accusations, and male harassment support. In this paper, #HimToo was broadly analysed from 2010 to 2020 by using sentiment analysis and frequent hashtags and uni- and bigrams. The findings confirmed all aforementioned different meanings of the hashtag, but also suggested that it is a counterpoint to #MeToo, that its users are generally more negative than #MeToo users, and that Trump supporters make up a significant portion of the users of the hashtag.
This repository contains the code of project for the LET-REMA-LCEX06 Text and Multimedia Mining course at Radboud University (2019-2020).
This project has the following file structure:
data/: contains the separated and combined tweets for this project.img/: contains the images generated by the code.src/: contains the following files:analysis.py: contains the code for carrying out the experiments and analysis on the data.create_data.py: contains the code for preprocessing the data retrieved with the GetOldTweets-python repository (see data/README for more information).twitter_preprocessor.py: contains helper functions for the preprocessing increate_data.py.