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This study uses multilingual encoders to measure framing differences across Wikipedia's language editions, finding that religious and political concepts diverge more than scientific ones.
This paper conducts a multi-method computational analysis of Telegram discourse on the Israel-Palestine conflict, revealing that pro-Israel channels use a neutral, report-style tone while pro-Palestine channels exhibit more negative sentiment and framing.
This paper compares RoBERTa-based sentiment analysis with an LLM-based multi-dimensional framing analysis on political news articles, finding that traditional SA suffers from 'neutral collapse' and that LLM-based approaches better capture bias, sensationalism, and framing for social science research.