Mapping the Global Election Landscape on Social Media in 2024
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866910482708824064 |
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| author | Pecile, Giulio Di Marco, Niccolò Cinelli, Matteo Quattrociocchi, Walter |
| author_facet | Pecile, Giulio Di Marco, Niccolò Cinelli, Matteo Quattrociocchi, Walter |
| contents | In 2024, half of the global population is expected to participate in elections, offering researchers a unique opportunity to study online information diffusion and user behavior. This study investigates the media landscape on social media by analyzing Facebook posts from national political parties and major news agencies across Europe, Mexico, and India. Our methodology identifies key topics and evaluates public interaction, reflecting broader trends in political engagement. Using Principal Component Analysis, we distil these topics to uncover patterns of correlation and differentiation. This approach reveals dominant themes that engage global audiences, providing critical insights into the interplay between public opinion and digital narratives during a major electoral cycle. Our findings highlight how different topics resonate across political spectrums, shaping political debate and offering a comprehensive view of the interaction between media content, political ideology, and audience engagement. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_04962 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Mapping the Global Election Landscape on Social Media in 2024 Pecile, Giulio Di Marco, Niccolò Cinelli, Matteo Quattrociocchi, Walter Social and Information Networks Physics and Society In 2024, half of the global population is expected to participate in elections, offering researchers a unique opportunity to study online information diffusion and user behavior. This study investigates the media landscape on social media by analyzing Facebook posts from national political parties and major news agencies across Europe, Mexico, and India. Our methodology identifies key topics and evaluates public interaction, reflecting broader trends in political engagement. Using Principal Component Analysis, we distil these topics to uncover patterns of correlation and differentiation. This approach reveals dominant themes that engage global audiences, providing critical insights into the interplay between public opinion and digital narratives during a major electoral cycle. Our findings highlight how different topics resonate across political spectrums, shaping political debate and offering a comprehensive view of the interaction between media content, political ideology, and audience engagement. |
| title | Mapping the Global Election Landscape on Social Media in 2024 |
| topic | Social and Information Networks Physics and Society |
| url | https://arxiv.org/abs/2406.04962 |