Carmine De Cristofaro
Leveraging Wikidata to highlight differences in topics and countries on Instagram Social Network.
Rel. Luca Vassio, Martino Trevisan. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023
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Abstract
In today’s digital era, Online Social Networks (OSNs) have emerged as powerful platforms that shape the way we connect, communicate, and share information. Among these platforms, Instagram stands out as a prominent player, attracting billions of users worldwide and becoming a significant cultural phenomenon. With its visually appealing content and global reach, Instagram has redefined the landscape of social media, transcending geographical boundaries and bridging diverse communities. The objective of this thesis is to analyze and study the effects of Instagram usage on the homogenization or preservation of geographical and cultural identities. The proposed approach involves the analysis of Instagram profiles from five different European countries: Italy, France, Germany, the United Kingdom, and Spain, across three distinct social macro-areas, namely politics, culture (specifically athletes, models, and actors), and academia (university profiles).
The initial phase of the work extensively utilizes the Wikidata database and its semantic query language to construct a profile database containing all the necessary information for categorizing Instagram users
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