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This chapter offers a systematic assessment of DICTION’s ability to address a wide range of media content. Each of the media-related works in this volume reflects a unique mix of communication inputs, and DICTION proves itself able to generate valid and reliable insights on a diverse range of material. In addition, the chapter focuses on a series of challenges (e.g., Message Tailoring, Hypertext, Interactivity) and opportunities (e.g., big data) for DICTION in relation to the study of media content. The program and the researchers who utilize it need to continue to evolve with the changing media landscape in order to generate practical knowledge that is relevant to improving communication.
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Stored only when both papers are in the corpus — 1 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.