Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory

Bibliographic Details
Main Author: Custódio, Naomi Ferreras
Publication Date: 2024
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/166565
Summary: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations TheoryMoral Foundations TheoryTwitterMoralitySocial MediaPolitical AnnotationTopicSDG 16 - Peace, justice and strong institutionsSDG 17 - Partnerships for the goalsDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceIn the last decade, social media platforms, particularly Twitter, have played a major role in shaping public discourse and influencing real-world events, ranging from political debates to social movements. The insights of the data generated on these platforms provides a unique lens through which we can analyze and understand society’s trends, making it crucial to process this information effectively. Twitter has not only enhanced people’s voices, thoughts, and sentiments but has also facilitated public discussions and information dissemination through features like tweeting, replying, and retweeting. This research aims to leverage social media data, specifically Twitter data, to uncover the underlying morality embedded in these discussions. The Moral Foundations Theory serves as an explanatory factor for variations in moral behavior, shedding light on how individuals express opinions and categorize thoughts using both individualizing and binding foundations. Understanding the interplay between morality, viral topics and user groups is of extreme importance, especially in explaining political ideologies and cross-cultural differences in moral behavior. By employing advanced natural language processing for extracting moral insights from Tweets related to viral topics, this study seeks to unravel the intricate dynamics that shape topics' lifetimes and uncover the role of morality in justifying various perspectives. The investigation draws on data obtained from the Twitter Search API, specifically focusing on the year 2020, a year in which humanity faced many challenges. Anticipated outcomes of this study include the development of a robust approach/methodology capable of providing insights and predictions on diverse challenges, such as discerning the presence of morality in specific topics. This research contributes to the evolving landscape of social science studies by addressing ambiguous questions arising from the intersection of social media, morality, and topic virality.Pinheiro, Flávio Luís PortasRUNCustódio, Naomi Ferreras2024-04-24T09:40:52Z2024-04-192024-04-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/166565TID:203591658enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:20:41Zoai:run.unl.pt:10362/166565Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:51:18.101690Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory
title Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory
spellingShingle Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory
Custódio, Naomi Ferreras
Moral Foundations Theory
Twitter
Morality
Social Media
Political Annotation
Topic
SDG 16 - Peace, justice and strong institutions
SDG 17 - Partnerships for the goals
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory
title_full Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory
title_fullStr Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory
title_full_unstemmed Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory
title_sort Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory
author Custódio, Naomi Ferreras
author_facet Custódio, Naomi Ferreras
author_role author
dc.contributor.none.fl_str_mv Pinheiro, Flávio Luís Portas
RUN
dc.contributor.author.fl_str_mv Custódio, Naomi Ferreras
dc.subject.por.fl_str_mv Moral Foundations Theory
Twitter
Morality
Social Media
Political Annotation
Topic
SDG 16 - Peace, justice and strong institutions
SDG 17 - Partnerships for the goals
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Moral Foundations Theory
Twitter
Morality
Social Media
Political Annotation
Topic
SDG 16 - Peace, justice and strong institutions
SDG 17 - Partnerships for the goals
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
publishDate 2024
dc.date.none.fl_str_mv 2024-04-24T09:40:52Z
2024-04-19
2024-04-19T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/166565
TID:203591658
url http://hdl.handle.net/10362/166565
identifier_str_mv TID:203591658
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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