Julian Gierenz
@juliangie.bsky.social
Political Science PhD Candidate | Researching LLMs & NLP in Politics: Applications for Deliberation | @bagss-bamberg.bsky.social
Reposted by Julian Gierenz
I was curious to see how academic articles in (Political) Communication and Political Science are being shared on X vs. Bluesky.
I find: In 2024, academic articles in our field seem to be clearly more shared on X. But by 2025, Bluesky is catching up fast.
Short 🧵 1/n
I find: In 2024, academic articles in our field seem to be clearly more shared on X. But by 2025, Bluesky is catching up fast.
Short 🧵 1/n
March 27, 2025 at 9:59 AM
I was curious to see how academic articles in (Political) Communication and Political Science are being shared on X vs. Bluesky.
I find: In 2024, academic articles in our field seem to be clearly more shared on X. But by 2025, Bluesky is catching up fast.
Short 🧵 1/n
I find: In 2024, academic articles in our field seem to be clearly more shared on X. But by 2025, Bluesky is catching up fast.
Short 🧵 1/n
Reposted by Julian Gierenz
Podcasts are a popular medium, but data for computational research is limited! We introduce the Structured Podcast Research Corpus (SPoRC - huggingface.co/datasets/bli...), a large, multimodal dataset of English podcasts 🧵
arxiv.org/abs/2411.07892
arxiv.org/abs/2411.07892
Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus
Podcasts provide highly diverse content to a massive listener base through a unique on-demand modality. However, limited data has prevented large-scale computational analysis of the podcast ecosystem....
arxiv.org
November 14, 2024 at 10:36 PM
Podcasts are a popular medium, but data for computational research is limited! We introduce the Structured Podcast Research Corpus (SPoRC - huggingface.co/datasets/bli...), a large, multimodal dataset of English podcasts 🧵
arxiv.org/abs/2411.07892
arxiv.org/abs/2411.07892
Reposted by Julian Gierenz
“They said it could not be done”. We’re releasing Pleias 1.0, the first suite of models trained on open data (either permissibly licensed or uncopyrighted): Pleias-3b, Pleias-1b and Pleias-350m, all based on the two trillion tokens set from Common Corpus.
December 5, 2024 at 4:39 PM
“They said it could not be done”. We’re releasing Pleias 1.0, the first suite of models trained on open data (either permissibly licensed or uncopyrighted): Pleias-3b, Pleias-1b and Pleias-350m, all based on the two trillion tokens set from Common Corpus.