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From Track to Digital Platforms: Analyzing Fan Sentiment and Engagement in Formula 1 Teams

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Resumo(s)

Formula 1 has been focused on increasing fan engagement, recognizing the crucial role that fans play in the success of teams and the sport as a whole. Understanding fans' opinions, what they appreciate and criticize, through their mentions on social media, offers important insights into their feelings and perceptions, specifically about the different teams, revealing how fan sentiment varies across the Formula 1 grid. This research follows a Design Science Research methodology to develop an artifact capable of identifying and analyzing high engagement moments within social media mentions. The artifact (process) is based on a mixed-methods strategy. Quantitative data from social media metrics were used to measure sentiment levels, while qualitative analysis helped interpret the contextual factors behind the peak moments of fan interaction. The research reveals distinct patterns of fan interaction tied to moments related to Home Races Successes, Teams Joins Announcements, Notable Victories, and Controversial Moments. As a key outcome, a Design Science-based artifact was developed, offering a structured way to analyze and respond to fan engagement data. This represents a contribution by combining data-driven insights with a practical and adaptable in future similar research.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Digital Marketing and Analytics

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Sport Fan Engagement Formula 1 Sports Fans Sentiment Analysis Social Media Listening SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure

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