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Social Media Sentiment Index for Assessing Public Satisfaction during the Paris 2024 Olympic Games
by Konstantinos Koronios | Lazaros Ntasis | Panagiotis Dimitropoulos | Andreas Papadopoulos
Abstract ID: 12
Event: Conference 2024
Keywords (up to 5): Natural Language Processing (NLP), Olympic Games, Public Sentiment, Social Media Sentiment Index (SMSI)
      • The Paris 2024 Olympic Games present a unique opportunity to examine public sentiment and satisfaction through the lens of social media platforms, such as Twitter (X). This proposal outlines the development of a Social Media Sentiment Index (SMSI) that quantifies public satisfaction based on Twitter posts during the Games. By employing natural language processing (NLP) techniques and sentiment analysis algorithms, this index will aggregate and analyze Twitter data to gauge real-time public sentiment toward various aspects of the Games, including event organization, accessibility, infrastructure, and overall experience (Watt, 2013). The search will include relevant hashtags (e.g., #Paris2024, #Olympics), mentions, and keywords associated with the events. Data collection will begin one month prior to the opening ceremony and continue until one month after the closing ceremony, capturing pre-event excitement, live event experiences, and post-event reflections (Tang & Cooper, 2018).

        Furthermore, a weighting system will be developed to prioritize certain aspects of the Games, such as event organization (40%), accessibility (30%), local engagement (20%), and overall experience (10%). Understanding public perceptions regarding safety, accessibility, and enjoyment can inform tourism forecasts and marketing strategies, allowing stakeholders to adjust plans to maximize tourism revenues (Preuss, 2007). Analysis of the SMSI can guide post-event tourism campaigns. Moreover, the SMSI can serve as an early warning system for potential crises or public dissatisfaction (e.g., transportation issues, safety concerns) (Sigala & Gretzel, 2017). By monitoring sentiment trends, organizers can respond proactively to mitigate negative perceptions and their economic implications. In the event of negative sentiment arising from specific incidents during the Games, the SMSI can help evaluate the effectiveness of recovery strategies and communications aimed at restoring public confidence and maintaining economic stability (Bollen et al., 2011).

        Post-Games, the SMSI can be utilized to assess public sentiment about the legacy of the Olympics, including the perceived benefits of infrastructure and community programs (Chalkley & Essex, 1999). This information can guide future investments and policies aimed at maximizing the economic legacy of hosting the Olympics. The SMSI can serve as a benchmark for evaluating public sentiment and economic impact in future Olympic Games or similar mega-events, contributing to a body of knowledge that enhances planning and execution.

        The proposed Social Media Sentiment Index (SMSI) will provide a novel approach to assessing public satisfaction during the Paris 2024 Olympic Games. By leveraging X data and advanced sentiment analysis techniques, the SMSI will offer valuable insights for stakeholders to enhance the Olympic experience and address public concerns. This research aims to provide stakeholders with actionable insights by visualizing the SMSI over time, highlighting trends and fluctuations in public sentiment. By leveraging social media data, the SMSI will facilitate continuous monitoring of public opinion, enabling organizers to address issues promptly and enhance the overall Olympic experience.

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HELLENIC 
OPEN
UNIVERSITY
The International Conference on Business & Economics of the Hellenic Open University (ICBE - HOU) aims to bring together leading scientists and researchers, affiliated with the HOU, to present, discuss and challenge their ideas opinions and research findings about all disciplines of Business Administration and Economics.
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