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Assessing the Impact of COVID-19 on Live Streaming Platforms: The case of Twitch.TV

Bibliographic Details
Main Author: Parente, Inês Filipa Antunes
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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spelling 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
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/10362/174878
TID:203777336
url http://hdl.handle.net/10362/174878
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dc.language.iso.fl_str_mv eng
language eng
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