This contribution demonstrates the integration of content analysis (CA) in examining digital texts on sports, utilizing digital methods such as automated extraction of text data from platforms like Twitter. The focus is on organizing this data into structured datasets and leveraging metadata as methodological resources. Using a case study involving the Gary Lineker and BBC controversy, the operations are showcased. CA employs non-invasive observation techniques to explore socio-cultural meanings in textual data that are not directly observable, allowing for the swift collection of large or small data sets
Content Analysis Of Digital Texts About Sport: The Case Of #IStandWithGary On Twitter
Paolo Diana
Methodology
;Giovannipaolo FerrariData Curation
2024
Abstract
This contribution demonstrates the integration of content analysis (CA) in examining digital texts on sports, utilizing digital methods such as automated extraction of text data from platforms like Twitter. The focus is on organizing this data into structured datasets and leveraging metadata as methodological resources. Using a case study involving the Gary Lineker and BBC controversy, the operations are showcased. CA employs non-invasive observation techniques to explore socio-cultural meanings in textual data that are not directly observable, allowing for the swift collection of large or small data setsFile in questo prodotto:
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