We made available the following output from our annotation system:

tweets.csv: A list of all tweets available for annotation

tweets_annotated.csv: The final corpus with stance annotations after considering the majority of annotators, also indicating the the tweet id and date of the post

For the post_vaccine column, the value 0 indicates that the tweet, even though it contains the keywords used in the search, is not related to Covid-19 Vaccines. 1 indicate that it is related to Covid-19 vaccines

For the positions_vac column, 1 indicates a tweets that is favourable towards Covid-19 vaccines, 2 indicates that it is neutral towards these vaccines and 3 indicates the unfavourable tweets.

Codebook: We also provide the codebook with informations on the dataset building process, classification rules and some additional content.

STIL Presentations Slides: Addittionally, we include the slides of the STIL presentation (October 28th, 2023).

BARBERIA, Lorena Guadalupe; SCHMALZ, Pedro Henrique de Santana; ROMAN, Norton Trevisan. When Tweets Get Viral - A Deep Learning Approach for Stance Analysis of Covid-19 Vaccines Tweets by Brazilian Political Elites. In: SIMPÓSIO BRASILEIRO DE TECNOLOGIA DA INFORMAÇÃO E DA LINGUAGEM HUMANA (STIL), 14. , 2023, Belo Horizonte/MG. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 104-114. DOI: https://doi.org/10.5753/stil.2023.233961.

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