Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networks
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networks ; volume:13 ; number:1 ; day:4 ; month:4 ; year:2024 ; pages:1-31 ; date:12.2024
EPJ Data Science ; 13, Heft 1 (4.4.2024), 1-31, 12.2024
- Creator
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Zhou, Zhiwei
Elejalde, Erick
- Contributor
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SpringerLink (Online service)
- DOI
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10.1140/epjds/s13688-024-00469-y
- URN
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urn:nbn:de:101:1-2406182107164.390307498510
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:58 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Zhou, Zhiwei
- Elejalde, Erick
- SpringerLink (Online service)
Other Objects (12)
Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networks
StanceVis Prime: visual analysis of sentiment and stance in social media texts
The Silent Majority Has Found Its Voice
Capturing stance dynamics in social media: open challenges and research directions
Characterizing the role of bots’ in polarized stance on social media
Renegotiation of Social Contracts by Majority Rule.
User interest community detection on social media using collaborative filtering
Computer-assisted understanding of stance in social media : formalizations, data creation, and prediction models
Stance.
ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers
Stance Inference in Twitter through Graph Convolutional Collaborative Filtering Networks with Minimal Supervision
RESiSTANCE
Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networks
StanceVis Prime: visual analysis of sentiment and stance in social media texts
The Silent Majority Has Found Its Voice
Capturing stance dynamics in social media: open challenges and research directions
Characterizing the role of bots’ in polarized stance on social media
Renegotiation of Social Contracts by Majority Rule.
User interest community detection on social media using collaborative filtering
Computer-assisted understanding of stance in social media : formalizations, data creation, and prediction models
Stance.
ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers
Stance Inference in Twitter through Graph Convolutional Collaborative Filtering Networks with Minimal Supervision
RESiSTANCE
Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networks
StanceVis Prime: visual analysis of sentiment and stance in social media texts
The Silent Majority Has Found Its Voice
Capturing stance dynamics in social media: open challenges and research directions
Characterizing the role of bots’ in polarized stance on social media
Renegotiation of Social Contracts by Majority Rule.
User interest community detection on social media using collaborative filtering
Computer-assisted understanding of stance in social media : formalizations, data creation, and prediction models
Stance.
ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers
Stance Inference in Twitter through Graph Convolutional Collaborative Filtering Networks with Minimal Supervision