Context

Trump ban on social media following capitol riots made Parler and other fringe platforms gain a favourable right leaning follower base. The free-speech advocates on Parler reportedly perpetuated hatred and inflamed conspiracy theories. Few security researchers on twitter have been paying attention to the so-called "Right wing" network and with great effort, they archived around 3billion of the posts on archive.org over the past few months.

As of 11th Jan 2020, Parler was removed from Google and Apple app stores, and the site was taken down by AWS.

Content

There are several txt files, each containing URL to an individual post. There are image, txt, and links to the video files. It also contains deleted posts and videos. https://web.archive.org/web/20210110202718/https://parler.com/post/d18e8fedcaf147649f160267e57bde41 It's beyond the scope to individually pull all the information for analysis here. It's quite big and slow to do it on one computer :) ~ 100 tb.

Acknowledgements

Twitter : @donk_enby

Inspiration

Sentiment analysis on the text data. Analysis of hate speech and profiling. Deep moji analysis Ideas on how to moderate a platform like this in future.

Dataset Summary

This is a 10K hours subset of English version of the Multilingual LibriSpeech (MLS) dataset. The data archives were restructured from the original ones from OpenSLR to make it easier to stream. MLS dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish. It includes about 44.5K hours of English and… See the full description on the dataset page: https://huggingface.co/datasets/parler-tts/mls_eng_10k.

Dataset Card for English MLS

  Dataset Summary

This is a streamable version of the English version of the Multilingual LibriSpeech (MLS) dataset. The data archives were restructured from the original ones from OpenSLR to make it easier to stream. MLS dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese… See the full description on the dataset page: https://huggingface.co/datasets/parler-tts/mls_eng.