research-article

Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality

Authors:

Jacopo StaianoAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 299 - 305

https://doi.org/10.1145/2740908.2743058

Published: 18 May 2015 Publication History

Abstract

This article provides a comprehensive investigation on the relations between virality of news articles and the emotions they are found to evoke. Virality, in our view, is a phenomenon with many facets, i.e. under this generic term several different effects of persuasive communication are comprised. By exploiting a high-coverage and bilingual corpus of documents containing metrics of their spread on social networks as well as a massive affective annotation provided by readers, we present a thorough analysis of the interplay between evoked emotions and viral facets. We highlight and discuss our findings in light of a cross-lingual approach: while we discover differences in evoked emotions and corresponding viral effects, we provide preliminary evidence of a generalized explanatory model rooted in the deep structure of emotions: the Valence-Arousal-Dominance (VAD) circumplex. We find that viral facets appear to be consistently affected by particular VAD configurations, and these configurations indicate a clear connection with distinct phenomena underlying persuasive communication.

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Cited By

Srimanoi WBoonmoh A(2025)English Clickbait Language Features Which Attract Thai Tertiary EFL LearnersrEFLections10.61508/refl.v32i1.27887032:1(104-125)Online publication date: 17-Feb-2025
https://doi.org/10.61508/refl.v32i1.278870
Zhao CWu MYang XZhang WZhang SWang SLi D(2024)A Systematic Review of Cross-Lingual Sentiment Analysis: Tasks, Strategies, and ProspectsACM Computing Surveys10.1145/364510656:7(1-37)Online publication date: 9-Apr-2024
https://dl.acm.org/doi/10.1145/3645106
Gunasekara TThihan DKodithuwakku SDissanayake DFernando HVidhanaarachchi SSindhujan A(2024)Improving Fake News Detection with a Mixture of Experts: Leveraging Sentiment Analysis and Sarcasm Detection as Core Expert Models2024 6th International Conference on Advancements in Computing (ICAC)10.1109/ICAC64487.2024.10851056(1-6)Online publication date: 12-Dec-2024
https://doi.org/10.1109/ICAC64487.2024.10851056
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Index Terms

Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality
1. Human-centered computing

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cover image ACM Other conferences

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

Copyright © 2015 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

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IW3C2: International World Wide Web Conference Committee

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

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Trento Rise
French National Agency for Research (ANR)
German Federal Ministry of Research and Education

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WWW '15

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IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Srimanoi WBoonmoh A(2025)English Clickbait Language Features Which Attract Thai Tertiary EFL LearnersrEFLections10.61508/refl.v32i1.27887032:1(104-125)Online publication date: 17-Feb-2025
https://doi.org/10.61508/refl.v32i1.278870
Zhao CWu MYang XZhang WZhang SWang SLi D(2024)A Systematic Review of Cross-Lingual Sentiment Analysis: Tasks, Strategies, and ProspectsACM Computing Surveys10.1145/364510656:7(1-37)Online publication date: 9-Apr-2024
https://dl.acm.org/doi/10.1145/3645106
Gunasekara TThihan DKodithuwakku SDissanayake DFernando HVidhanaarachchi SSindhujan A(2024)Improving Fake News Detection with a Mixture of Experts: Leveraging Sentiment Analysis and Sarcasm Detection as Core Expert Models2024 6th International Conference on Advancements in Computing (ICAC)10.1109/ICAC64487.2024.10851056(1-6)Online publication date: 12-Dec-2024
https://doi.org/10.1109/ICAC64487.2024.10851056
Kadan ADeepak PGangan MAbraham SLajish V(2024)REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detectionKnowledge and Information Systems10.1007/s10115-024-02194-466:12(7495-7525)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s10115-024-02194-4
Nowakowska Głuszak A(2023)Klikać czy czytać? Pragmatyczna funkcja clickbaitówPółrocznik Językoznawczy Tertium10.7592/Tertium.2022.7.2.2227:2(170-183)Online publication date: 6-Feb-2023
https://doi.org/10.7592/Tertium.2022.7.2.222
Bunevitch A(2023)Развитие языка позитивных эмоций в русскоязычном интернет-пространстве (на основе исследования выбранного контента Instagram, VK и YouTube)Acta Universitatis Lodziensis. Folia Linguistica Rossica10.18778/1731-8025.22.11(151-161)Online publication date: 30-Dec-2023
https://doi.org/10.18778/1731-8025.22.11
Jung HDai WAlbarracín D(2023)How Social Media Algorithms Shape Offline Civic Participation: A Framework of Social-Psychological ProcessesPerspectives on Psychological Science10.1177/17456916231198471Online publication date: 7-Dec-2023
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Bagić Babac MPodobnik V(2023)World-class sporting events as arenas of emotional eruptions on social mediaSoccer & Society10.1080/14660970.2023.222974325:1(92-110)Online publication date: Aug-2023
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K. AP. DSam Abraham SV. L. LP. Gangan M(2022)Readers’ affect: predicting and understanding readers’ emotions with deep learningJournal of Big Data10.1186/s40537-022-00614-29:1Online publication date: 20-Jun-2022
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Aldous KAn JJansen B(2022)Measuring 9 Emotions of News Posts from 8 News Organizations across 4 Social Media Platforms for 8 MonthsACM Transactions on Social Computing10.1145/35164914:4(1-31)Online publication date: 23-Mar-2022
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