Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

Social media is now the predominant source of information due to the availability of immediate public response. As a result, social media data has become a valuable resource for comprehending public sentiments. Studies have shown that it can amplify ideas and influence public sentiments. This study analyzes the public perception of climate change and the environment over a decade from 2014 to 2023. Using the Pointwise Mutual Information (PMI) algorithm, we identify sentiment and explore prevailing emotions expressed within environmental tweets across various social media platforms, namely Twitter, Reddit, and YouTube. Accuracy on a human-annotated dataset was 0.65, higher than Vader's score but lower than that of an expert rater (0.90). Our findings suggest that negative environmental tweets are far more common than positive or neutral ones. Climate change, air quality, emissions, plastic, and recycling are the most discussed topics on all social media platforms, highlighting its huge global concern. The most common emotions in environmental tweets are fear, trust, and anticipation, demonstrating the wide and complex nature of public reactions. By identifying patterns and trends in opinions related to the environment, we hope to provide insights that can help raise awareness regarding environmental issues, inform the development of interventions, and adapt further actions to meet environmental challenges.

OriginalspracheEnglisch
ZeitschriftIEEE Access
Jahrgang12
Seiten (von - bis)33504-33523
Anzahl der Seiten20
ISSN2169-3536
DOIs
PublikationsstatusErschienen - 07.03.2024

Bibliographische Notiz

Publisher Copyright:
© 2013 IEEE.

DOI

Zuletzt angesehen

Publikationen

  1. Learning pragmatic routines during study abroad
  2. Kafka pfeift auf den Ursprung des Kunstwerkes.
  3. Using LLMs in sensory service research
  4. New incremental methods for springback compensation by stress superposition
  5. Exploring the Use of the Pronoun I in German Academic Texts with Machine Learning
  6. Public Value
  7. European and national law in history and future
  8. Transformation archetypes in global food systems
  9. LiteraturGesellschaft DDR
  10. Emotional reactivity and interoceptive sensitivity
  11. BERT for stock market sentiment analysis
  12. Foraging loads of stingless bees and utilisation of stored nectar for pollen harvesting
  13. Bestimmbare Unbestimmtheiten
  14. Different ways lead to ambidexterity
  15. Approaching bolt load retention behaviour of AS41 through compliance and creep deformation
  16. Web-based occupational stress prevention in German micro- and small-sized enterprises – process evaluation results of an implementation study
  17. A meta-analytic reliability generalization of the Physical Self-Description Questionnaire (PSDQ)
  18. Still some way to go
  19. Quality and time-related indicators in inceptive plans
  20. Student Feedback as a Source for Reflection in Practical Phases of Teacher Education
  21. LC-QuAD 2.0
  22. Der Mensch in Zahlen
  23. Elevator as a mediating technology of organization
  24. Location, Location, Location
  25. Emancipative values and democracy
  26. Indentity 2.0
  27. Fantasy about the future as friend and foe
  28. Reversing a tree regeneration crisis in an endangered ecoregion
  29. The framing of sustainable finance in charitable foundations—findings from a qualitative study
  30. Cultural Globalization between Myth and Reality
  31. Utilization of food waste in continuous flow cultures of the heterotrophic microalga Chlorella pyrenoidosa for saturated and unsaturated fatty acids production
  32. Strain in railroad maintenance workers caused by passing high-speed trains
  33. Are you teaching "distillation" correctly in your chemistry classes?
  34. A Cultural Task Analysis of Implicit Independence