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Public Reaction to Scientific Research via Twitter Sentiment Prediction

arXiv 2209.07333 ↗First posted 11 Sep 2022cs.IR cs.AI cs.LGcited by 0

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Abstract (arXiv)

Social media users share their ideas, thoughts, and emotions with other users. However, it is not clear how online users would respond to new research outcomes. This study aims to predict the nature of the emotions expressed by Twitter users toward scientific publications. Additionally, we investigate what features of the research articles help in such prediction. Identifying the sentiments of research articles on social media will help scientists gauge a new societal impact of their research articles.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 66 references that are in the map. First posted on arXiv 11 Sep 2022.

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6 of 66 references.

References · 6

  1. 2016Sentiment Analysis of Twitter Data: A Survey of Techniquescited by 16
  2. 2018Scholarly Twitter metricscited by 3
  3. 2019Predicting Patent Citations to measure Economic Impact of Scholarly Researchcited by 3
  4. 2015Adapting sentiment analysis for tweets linking to scientific paperscited by 1
  5. 2016Anatomy of Scholarly Information Behavior Patterns in the Wake of Academic Social Media Platformscited by 1
  6. 2017Predicting Research that will be Cited in Policy Documentscited by 1

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