Assessing the Impact of COVID-19 on Live Streaming Platforms: The case of Twitch.TV
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Publication Date: | 2024 |
Format: | Master thesis |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10362/174878 |
Summary: | Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence |
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Assessing the Impact of COVID-19 on Live Streaming Platforms: The case of Twitch.TVTwitch.TVLive streamingCOVID-19Sentiment analysisTopic modelingDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceIn recent years, the digital landscape has undergone significant transformations, with social media platforms emerging as crucial channels for communication, entertainment, and community engagement. The COVID-19 pandemic further accelerated this trend, prompting a surge in online activity as individuals sought connection and entertainment lost in its traditional in-person form in virtual spaces. Twitch, a prominent live streaming platform with a primary focus on video gaming content, experienced remarkable growth during this period. This thesis aims to enhance the understanding of digital consumer behavior through adverse conditions caused by a pandemic crisis by analyzing three distinct periods within the virus timeline. Topic modeling and sentiment analysis techniques are employed to explore the focus of audience attention and seek to comprehend the emotional dynamics of the audience. The findings reveal nuances and insights that diverge from trends observed on other platforms, therefore contributing to a deeper understanding of the pandemic’s impact on digital communication.Pinheiro, Flávio Luís PortasRUNParente, Inês Filipa Antunes2024-11-08T18:23:10Z2024-10-302024-10-30T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/174878TID:203777336enginfo: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:RCAAP2025-01-13T01:42:26Zoai:run.unl.pt:10362/174878Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:13:04.532951Repositórios 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 |
Assessing the Impact of COVID-19 on Live Streaming Platforms: The case of Twitch.TV |
title |
Assessing the Impact of COVID-19 on Live Streaming Platforms: The case of Twitch.TV |
spellingShingle |
Assessing the Impact of COVID-19 on Live Streaming Platforms: The case of Twitch.TV Parente, Inês Filipa Antunes Twitch.TV Live streaming COVID-19 Sentiment analysis Topic modeling Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
title_short |
Assessing the Impact of COVID-19 on Live Streaming Platforms: The case of Twitch.TV |
title_full |
Assessing the Impact of COVID-19 on Live Streaming Platforms: The case of Twitch.TV |
title_fullStr |
Assessing the Impact of COVID-19 on Live Streaming Platforms: The case of Twitch.TV |
title_full_unstemmed |
Assessing the Impact of COVID-19 on Live Streaming Platforms: The case of Twitch.TV |
title_sort |
Assessing the Impact of COVID-19 on Live Streaming Platforms: The case of Twitch.TV |
author |
Parente, Inês Filipa Antunes |
author_facet |
Parente, Inês Filipa Antunes |
author_role |
author |
dc.contributor.none.fl_str_mv |
Pinheiro, Flávio Luís Portas RUN |
dc.contributor.author.fl_str_mv |
Parente, Inês Filipa Antunes |
dc.subject.por.fl_str_mv |
Twitch.TV Live streaming COVID-19 Sentiment analysis Topic modeling Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
topic |
Twitch.TV Live streaming COVID-19 Sentiment analysis Topic modeling 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 Information Management, specialization in Knowledge Management and Business Intelligence |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-11-08T18:23:10Z 2024-10-30 2024-10-30T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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http://hdl.handle.net/10362/174878 TID:203777336 |
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http://hdl.handle.net/10362/174878 |
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eng |
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