Publicação
Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory
| Resumo: | In 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. |
|---|---|
| Autores principais: | Custódio, Naomi Ferreras |
| Assunto: | Moral Foundations Theory Twitter Morality Social Media Political Annotation Topic SDG 16 - Peace, justice and strong institutions SDG 17 - Partnerships for the goals |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1868415068249522176 |
|---|---|
| author | Custódio, Naomi Ferreras |
| author_facet | Custódio, Naomi Ferreras |
| author_role | author |
| contributor_name_str_mv | Pinheiro, Flávio Luís Portas RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Custódio, Naomi Ferreras\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Pinheiro, Flávio Luís Portas RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Custódio, Naomi Ferreras |
| datacite.date.Accepted.fl_str_mv | 2024-04-19T00:00:00Z |
| datacite.date.available.fl_str_mv | 2024-04-24T09:40:52Z |
| datacite.date.embargoed.fl_str_mv | 2024-04-24T09:40:52Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Moral Foundations Theory Morality Social Media Political Annotation Topic SDG 16 - Peace, justice and strong institutions SDG 17 - Partnerships for the goals |
| datacite.titles.title.fl_str_mv | Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory |
| dc.contributor.none.fl_str_mv | Pinheiro, Flávio Luís Portas RUN |
| dc.creator.none.fl_str_mv | Custódio, Naomi Ferreras |
| dc.date.Accepted.fl_str_mv | 2024-04-19T00:00:00Z |
| dc.date.available.fl_str_mv | 2024-04-24T09:40:52Z |
| dc.date.embargoed.fl_str_mv | 2024-04-24T09:40:52Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/166565 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Moral Foundations Theory Morality Social Media Political Annotation Topic SDG 16 - Peace, justice and strong institutions SDG 17 - Partnerships for the goals |
| dc.title.fl_str_mv | Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_bdcc |
| description | In 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/60af72be-a666-4fad-9d8d-e6e36dbe4a09/download |
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| identifier.url.fl_str_mv | http://hdl.handle.net/10362/166565 |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
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| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/166565 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Custódio, Naomi Ferreras |
| publishDate | 2024 |
| reponame_str | Repositório Institucional da UNL |
| repository_id_str | urn:repositoryAcronym:run |
| service_str_mv | urn:repositoryAcronym:run |
| spelling | engpt_PTIn 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.application/pdfpt_PTExtraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations TheoryCustódio, Naomi FerrerasPinheiro, Flávio Luís PortasHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNurn:tid:2035916582024-04-24T09:40:52Z2024-04-192024-04-19T00:00:00ZHandlehttp://hdl.handle.net/10362/166565http://purl.org/coar/access_right/c_abf2open accessMoral Foundations TheoryTwitterMoralitySocial MediaPolitical AnnotationTopicSDG 16 - Peace, justice and strong institutionsSDG 17 - Partnerships for the goals1749705 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesis2024-04-19http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/60af72be-a666-4fad-9d8d-e6e36dbe4a09/download |
| spellingShingle | Extraction and Exploration of Morality on Social Networks: Analyzing Twitter discussions with the Moral Foundations Theory Custódio, Naomi Ferreras Moral Foundations Theory Morality Social Media Political Annotation Topic SDG 16 - Peace, justice and strong institutions SDG 17 - Partnerships for the goals |
| status | SINGLETON |
| subject.fl_str_mv | Moral Foundations Theory Morality Social Media Political Annotation Topic SDG 16 - Peace, justice and strong institutions SDG 17 - Partnerships for the goals |
| title | 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_short | 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 |
| topic | Moral Foundations Theory Morality Social Media Political Annotation Topic SDG 16 - Peace, justice and strong institutions SDG 17 - Partnerships for the goals |
| topic_facet | Moral Foundations Theory Morality Social Media Political Annotation Topic SDG 16 - Peace, justice and strong institutions SDG 17 - Partnerships for the goals |
| url | http://hdl.handle.net/10362/166565 |
| visible | 1 |