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<p>Political discourse operates through the complex interplay of semantic, affective, and pragmatic dimensions. This study proposes Integrated Discourse Analysis (IDA), a systematic methodology that brings together Keymorph Analysis (KMA), agentivity analysis of verb semantics and thematic roles, and sentiment analysis. KMA, a quantitative methodology that measures morpheme frequencies, provides a foundation for analyzing case meanings. In Russian, genitive case markers can signal either agent or patient roles when used with deverbal nouns, requiring verbal semantics to determine agentivity. Verb semantics addresses this limitation by clarifying agentivity in argument structures. Sentiment analysis furnishes quantitative evidence for the speaker’s affective stance toward referents. Applying IDA to Russian Foreign Minister Sergey Lavrov’s speeches on the Russia-Ukraine war, this study reveals how Lavrov systematically constructs Russia as a positively evaluated agentive subject while portraying Ukraine and NATO as non-agentive entities subject to negative evaluative framing. Statistical validation reveals significant differences in agentivity distribution among these nouns. IDA offers an empirically grounded, multidimensional framework, providing new insights into rhetorical strategies in contemporary political narratives.</p>

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Beyond case: an integrated discourse analysis for Lavrov’s speeches

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月1日

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  • Saebom Ma,
  • Hyug Ahn

摘要

Political discourse operates through the complex interplay of semantic, affective, and pragmatic dimensions. This study proposes Integrated Discourse Analysis (IDA), a systematic methodology that brings together Keymorph Analysis (KMA), agentivity analysis of verb semantics and thematic roles, and sentiment analysis. KMA, a quantitative methodology that measures morpheme frequencies, provides a foundation for analyzing case meanings. In Russian, genitive case markers can signal either agent or patient roles when used with deverbal nouns, requiring verbal semantics to determine agentivity. Verb semantics addresses this limitation by clarifying agentivity in argument structures. Sentiment analysis furnishes quantitative evidence for the speaker’s affective stance toward referents. Applying IDA to Russian Foreign Minister Sergey Lavrov’s speeches on the Russia-Ukraine war, this study reveals how Lavrov systematically constructs Russia as a positively evaluated agentive subject while portraying Ukraine and NATO as non-agentive entities subject to negative evaluative framing. Statistical validation reveals significant differences in agentivity distribution among these nouns. IDA offers an empirically grounded, multidimensional framework, providing new insights into rhetorical strategies in contemporary political narratives.