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?:about
?:abstract
  • This repository contains an expert-annotated dataset of 1261 tweets and the corresponding annotation framework from the publication "SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse" (https://arxiv.org/abs/2206.07360). The tweets are annotated with three different categories of science-relatedness:
    (1) Scientific knowledge (scientifically verifiable claims): Tweets that include a claim or a question that could be scientifically verified, (2) Reference to scientific knowledge: Tweets that include at least one reference to scientific knowledge (references can either be direct, e.g., DOI, title of a paper or indirect, e.g., a link to an article that includes a direct reference), and (3) Related to scientific research in general: Tweets that mention a scientific research context (e.g., mention a scientist, scientific research efforts, research findings).
    Further, the annotations include the annotators' confidence scores as well as labels for compound claims and ironic tweets.
    (xsd:string)
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?:category
  • Applied Sciences (en)
  • Applied Sciences (de)
  • Other Fields of the Applied Social Sciences (de)
  • Other Fields of the Applied Social Sciences (en)
  • Science and Engineering (en)
  • Science and Engineering (de)
?:citationString
  • Hafid, Salim, Schellhammer, Sebastian, Bringay, Sandra, Todorov, Konstantin, & Dietze, Stefan (2022): SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2434 (en)
  • Hafid, Salim, Schellhammer, Sebastian, Bringay, Sandra, Todorov, Konstantin, & Dietze, Stefan (2022): SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2434 (de)
?:conditionsOfAccess
  • Free access (without registration) (en)
  • Freier Zugang (ohne Registrierung) (de)
?:currentVersion
  • 1.0.0, https://doi.org/10.7802/2434 (xsd:string)
?:dateCreated
  • 2022 (xsd:gyear)
?:dateModified
  • 2022-01-01 (xsd:date)
?:datePublished
  • 2022 (xsd:gyear)
?:doi
  • 10.7802/2434 ()
?:endDate
  • 2013-01-01 (xsd:date)
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?:hasFulltext
  • true (xsd:boolean)
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?:name
  • SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse (xsd:string)
?:principalInvestigator
  • Bringay, Sandra (xsd:string)
  • Dietze, Stefan (xsd:string)
  • Hafid, Salim (xsd:string)
  • Schellhammer, Sebastian (xsd:string)
  • Todorov, Konstantin (xsd:string)
?:provider
?:publicationType
  • SowiDataNet|datorium (en)
?:publisher
?:sourceInfo
  • GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2434 (en)
  • GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2434 (de)
  • GESIS-SowiDataNet|datorium (xsd:string)
?:startDate
  • 2013-01-01 (xsd:date)
?:thematicCollection
  • Digital Behavioral Data (en)
  • Digitale Verhaltensdaten (de)
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