COVID-19 Vaccine Discussions on Reddit with Sentiment, Stance, Topics, and Timing
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
COVID-19 Vaccine Discussions on Reddit with Sentiment, Stance, Topics, and Timing
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Identifier |
https://doi.org/10.7910/DVN/XJTBQM
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Creator |
Brambilla, Marco
Kharmale, Kalyani |
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Publisher |
Harvard Dataverse
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Description |
This dataset comprises a list of 1,727 Reddit posts and the respective 12,578 comments posted in the CovidVaccine subreddit from April 2020 to May 2021. Each post and comment is enriched with the following aspects: 1) SENTIMENT: subjectivity score (numerical, range [0..1] ), polarity score (numerical, range [-1..1]), and overall sentiment tag (negative, positive, neutral). 2) TOPIC: a set of subtopics is assigned to posts and comments. 3) STANCE: each post and comment is tagged as "in favor", "neutral", or "against" vaccination. 4) ORDERING: each comment is assigned a position and a categorical temporal distance from the original post. Each dataset is stored as CSV file. Files include raw data, training and test samples, and results of the predictions according to a specific implementation. |
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Subject |
Computer and Information Science
Social Sciences COVID-19 Vaccine Discourse Social media Sentiment Analysis |
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Contributor |
Brambilla, Marco
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