Tag: Social media

Telegram users generally align toxicity with local chat norms
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in Social Sciences
What the study found Most users tend to conform to local normative environments, meaning they align their toxicity with the toxicity levels of the chats where they participate. Why the authors say this matters The authors conclude that these findings deepen understanding of toxic online behavior and highlight the importance of contextualized approaches to content…
Event-aware model predicts cross-city visitor flows
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in Data science
What the study found An event-aware machine learning model using large language models (LLMs, systems that analyze text) and social media data was able to predict cross-city visitor flows. In the Hong Kong case study, the model achieved a testing R-squared of over 85% for daily flows of Chinese Mainland visitors. Why the authors say…
CSR post credibility shapes consumer interaction patterns
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in Business, Management and Accounting
Study identifies four CSR communication patterns on social media and finds validation elements paradoxically decrease consumer interactions compared to detailed information alone.
People’s Daily and CCTV News used different sentiment strategies on Douyin
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in Media studies
Study analyzing how Chinese state media (People’s Daily and CCTV News) adapt rural revitalization content on Douyin using topic modeling and sentiment analysis to reveal institutional.
Brexit sentiment was linked to weaker UK markets
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in Economics, Econometrics and Finance
Analysis of social media sentiment regarding Brexit and its significant negative impacts on GBP exchange rates and FTSE-100 performance using time-series sentiment analysis methods.
Facebook news card design shaped trust and interpretation
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in Media studies
Study examines how Facebook news card design features influence audience interpretation of the India-Bangladesh border dispute through visual framing, emotional priming, and credibility markers.
TikTok refugees and RedNote users formed a cosmopolitan community
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in Social Sciences
Explores how TikTok users and RedNote natives built digital solidarity during the US TikTok ban, forming cosmopolitan communities through cultural exchange and everyday communication practices.
Social media supports climate adaptation and disaster risk reduction
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in Social Sciences
Systematic review examining how social media data and models support climate change adaptation and disaster risk reduction, identifying current applications and research gaps.
Weibo opinion shifted with precipitation during Typhoon Muifa
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in Social Sciences
Study analyzing Sina Weibo discourse during Typhoon Muifa 2022, examining public sentiment and attention patterns across 19,417 posts using topic modeling and sentiment analysis to correlate.
Social media mining can support disaster response
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in Data science
Research methodology integrating NLP, machine learning, and visual analytics to extract actionable information from social media during environmental disasters.