Exploring Collective Identity, Efficacy Beliefs, Sentiment and Emotions in German Environmental Movements: A Natural Language Processing Approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3ATVXQ4LH3" target="_blank" >RIV/00216208:11320/25:TVXQ4LH3 - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205830395&partnerID=40&md5=b76188c6b02e140abc505eaf5e3ca398" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205830395&partnerID=40&md5=b76188c6b02e140abc505eaf5e3ca398</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Exploring Collective Identity, Efficacy Beliefs, Sentiment and Emotions in German Environmental Movements: A Natural Language Processing Approach

Original language description

Lexicon-based approaches rooted in Natural Language Processing (NLP) were tested to explore collective identity, collective efficacy beliefs, group sentiment, and group emotions within the framework of the German environmental movement. A dataset comprising 5607 social media posts from six prominent environmental groups in Germany spanning the period from 2022 to 2024 was gathered and analyzed using both Valence Aware Dictionary and sEntiment Reasoner (VADER) and Text-Based Emotion Detection (TBED) with the ed8 dictionary. Additionally, collective identity and collective efficacy beliefs were assessed based on the prevalence of specific representative terms within the texts. To validate the sentiment and emotion scores obtained, a random subset of documents was manually reviewed for comparison. The validation revealed limitations in the reliability of sentiment analysis and TBED methodologies with lexicon-based approaches, potentially stemming from the utilization of German language and climate change-specific content, which may not align optimally with existing lexicons. To enhance the applicability of lexicon-based approaches in such contexts, the development and application of climate change domain-specific lexicons tailored for the German language are recommended for future research endeavors. © 2024 Copyright for this paper by its authors.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

CEUR Workshop Proc.

ISBN

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ISSN

1613-0073

e-ISSN

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Number of pages

13

Pages from-to

1-13

Publisher name

CEUR-WS

Place of publication

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Event location

Hybrid, Liverpool

Event date

Jan 1, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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