2026-10-15T10:12:48Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

9007122a28146bf536440cb7280dbfd9db51c214609f4a3b309319063fee7fb2 2026-06-02T13:49:44Z language:enopenaire_data

10.7802/2437 https://search.gesis.org/research_data/SDN-10.7802-2437?lang=enhttps://search.gesis.org/research_data/SDN-10.7802-2437?lang=de SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse Hafid, SalimHafid, SalimSchellhammer, SebastianSchellhammer, SebastianBringay, SandraBringay, SandraTodorov, KonstantinTodorov, KonstantinDietze, StefanDietze, Stefan 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.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. discoursefalse reporttwittersciencediscoursefalse reporttwitterscience en 2022 Dataset http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2437 2023-03-11 ddi:codebook:2_5