User Archetypes and Information Dynamics on Telegram: COVID-19 and Climate Change Discourse in Singapore
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arXiv
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| Format: | Preprint |
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2024
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| author | Ligo, Val Alvern Cueco Cheung, Lam Yin Lee, Roy Ka-Wei Saha, Koustuv Tandoc Jr., Edson C. Kumar, Navin |
| author_facet | Ligo, Val Alvern Cueco Cheung, Lam Yin Lee, Roy Ka-Wei Saha, Koustuv Tandoc Jr., Edson C. Kumar, Navin |
| contents | Social media platforms, particularly Telegram, play a pivotal role in shaping public perceptions and opinions on global and national issues. Unlike traditional news media, Telegram allows for the proliferation of user-generated content with minimal oversight, making it a significant venue for the spread of controversial and misinformative content. During the COVID-19 pandemic, Telegram's popularity surged in Singapore, a country with one of the highest rates of social media use globally. We leverage Singapore-based Telegram data to analyze information flows within groups focused on COVID-19 and climate change. Using k-means clustering, we identified distinct user archetypes, including Strategic Disruptor, Empirical Enthusiast, Inquisitive Moderate, and Critical Examiner, each contributing uniquely to the discourse. We developed a model to classify users into these clusters (Precision: Climate change: 0.99; COVID-19: 0.95). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_06717 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | User Archetypes and Information Dynamics on Telegram: COVID-19 and Climate Change Discourse in Singapore Ligo, Val Alvern Cueco Cheung, Lam Yin Lee, Roy Ka-Wei Saha, Koustuv Tandoc Jr., Edson C. Kumar, Navin Social and Information Networks Human-Computer Interaction Social media platforms, particularly Telegram, play a pivotal role in shaping public perceptions and opinions on global and national issues. Unlike traditional news media, Telegram allows for the proliferation of user-generated content with minimal oversight, making it a significant venue for the spread of controversial and misinformative content. During the COVID-19 pandemic, Telegram's popularity surged in Singapore, a country with one of the highest rates of social media use globally. We leverage Singapore-based Telegram data to analyze information flows within groups focused on COVID-19 and climate change. Using k-means clustering, we identified distinct user archetypes, including Strategic Disruptor, Empirical Enthusiast, Inquisitive Moderate, and Critical Examiner, each contributing uniquely to the discourse. We developed a model to classify users into these clusters (Precision: Climate change: 0.99; COVID-19: 0.95). |
| title | User Archetypes and Information Dynamics on Telegram: COVID-19 and Climate Change Discourse in Singapore |
| topic | Social and Information Networks Human-Computer Interaction |
| url | https://arxiv.org/abs/2406.06717 |