Cross-Continental Dialogues: Analyzing the Dichotomy of Social Media Discourse in Ethiopian Social Movement #Nomore
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2025-01-07
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2437
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Recognizing cross-boundary disparities in discussing topics and emotional responses within social networks is pivotal for enhancing problem-solving strategies and adapting location-specific solutions accordingly. We leveraged machine learning models to analyze 1,036,111 public tweets from the Nomore movement containing #NoMore, #EthiopiaPrevails, or #SayNoMore. Our analysis explored the differences in the content, emotional responses, and user influence in tweets, comparing tweets from Ethiopia to the United States. It aims to examine the perspectives of the local communities and expand the relatively limited body of comparative analyses between users from Ethiopia and the United States, thus enriching the body of knowledge related to Africa. Our in-depth public opinion analysis revealed the divergence in societal viewpoints and sentiments across users from different locations on the same subject. This offers an opportunity to extract unique region-specific perspectives leading to more inclusive and effective solutions for societal issues.
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Culture, Identity, and Inclusion, bert model, ethiopia, natural language processing, x(twitter) sentiment analysis
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10
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Proceedings of the 58th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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