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Data Collection and Visualization of Influencersposts
University West, Department of Engineering Science.
University West, Department of Engineering Science.
2023 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study aims to understand the factors that turn Instagram users into influencers by analyzing data from various influencers, focusing on aspects that attract young people. The findings will be applied to the "Life of A.R.T'' project, which aims to create an artificial influencer to inspire youth interest in technology. This research examines six Instagram influencer profiles with similar follower demographics, using Art-Scraper and Instascrape to collect data on Upload Date, Likes, Comments, Hashtags, and Tagged Users. The results indicate that influencers rarely use hashtags, and when they do, it has minimal impact on likes. Instead, tagging generates more engagement. Posts are primarily uploaded on Sundays and Thursdays, typically between 2 p.m. and 8 p.m. This analysis will inform the development of an AI-based influencer's behavior. 

Place, publisher, year, edition, pages
2023. , p. 28
Keywords [en]
Instagram, influencers, instagram users
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:hv:diva-21158Local ID: EHD500OAI: oai:DiVA.org:hv-21158DiVA, id: diva2:1825313
Subject / course
Computer engineering
Educational program
Datateknik - högskoleingenjör
Supervisors
Examiners
Available from: 2024-02-16 Created: 2024-01-09 Last updated: 2024-02-16Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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