YouTube comments on astrobiology topics: sentiment and emotion analysis dataset

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

Read full text
Authors: Abdullah Almalki, Anamaria Berea, Andreas Schwarz
DOI: 10.5281/zenodo.18738199
Cited by: 0

Abstract

English-language YouTube comments (n=152,501) from videos on five astrobiology topics (K2-18b, Venus phosphine, Tabby's Star, ʻOumuamua, 3I/ATLAS), collected via YouTube Data API v3 (September 15–19, 2025). Comments in the dataset were published between October 20, 2015 and September 18, 2025. Includes comment text, like count, reply count, publish date, sentiment labels (TextBlob, VADER, DistilBERT), and emotion classifications (GoEmotions). User identifiers are anonymized. Used in: "Sentiment and emotion are weak predictors of engagement: A multi-method analysis of astrobiology topics on YouTube" (PLOS Complex Systems, to appear).

Fields of Study & Subjects

Sentiment Analysis and Opinion Mining Computational and Text Analysis Methods Misinformation and Its Impacts

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
23 February 2026
Language
EN
Document type
Dataset