Multimodal News Analysis across Cultures

· Cambridge University Press
eBook
128
āļŦāļ™āđ‰āļē
āļ„āļ°āđāļ™āļ™āđāļĨāļ°āļĢāļĩāļ§āļīāļ§āđ„āļĄāđˆāđ„āļ”āđ‰āļĢāļąāļšāļāļēāļĢāļ•āļĢāļ§āļˆāļŠāļ­āļšāļĒāļ·āļ™āļĒāļąāļ™ Â āļ”āļđāļ‚āđ‰āļ­āļĄāļđāļĨāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄ

āđ€āļāļĩāđˆāļĒāļ§āļāļąāļš eBook āđ€āļĨāđˆāļĄāļ™āļĩāđ‰

Corpus-based discourse analysts are becoming increasingly interested in the incorporation of non-linguistic data, for example through corpus-assisted multimodal discourse analysis. This Element applies this new approach in relation to how news values are discursively constructed through language and photographs. Using case studies of news from China and Australia, the Element presents a cross-linguistic comparison of news values in national day reporting. Discursive news values analysis (DNVA) has so far been mainly applied to English-language data. This Element offers a new investigation of Chinese DNVA and provides momentum to scholars around the world who are already adopting DNVA to their local contexts. With its focus on national days across two very different cultures, the Element also contributes to research on national identity and cross-linguistic corpus linguistics.

āđƒāļŦāđ‰āļ„āļ°āđāļ™āļ™ eBook āļ™āļĩāđ‰

āđāļŠāļ”āļ‡āļ„āļ§āļēāļĄāđ€āļŦāđ‡āļ™āļ‚āļ­āļ‡āļ„āļļāļ“āđƒāļŦāđ‰āđ€āļĢāļēāļĢāļąāļšāļĢāļđāđ‰

āļ‚āđ‰āļ­āļĄāļđāļĨāđƒāļ™āļāļēāļĢāļ­āđˆāļēāļ™

āļŠāļĄāļēāļĢāđŒāļ—āđ‚āļŸāļ™āđāļĨāļ°āđāļ—āđ‡āļšāđ€āļĨāđ‡āļ•
āļ•āļīāļ”āļ•āļąāđ‰āļ‡āđāļ­āļ› Google Play Books āļŠāļģāļŦāļĢāļąāļš Android āđāļĨāļ° iPad/iPhone āđāļ­āļ›āļˆāļ°āļ‹āļīāļ‡āļ„āđŒāđ‚āļ”āļĒāļ­āļąāļ•āđ‚āļ™āļĄāļąāļ•āļīāļāļąāļšāļšāļąāļāļŠāļĩāļ‚āļ­āļ‡āļ„āļļāļ“ āđāļĨāļ°āļŠāđˆāļ§āļĒāđƒāļŦāđ‰āļ„āļļāļ“āļ­āđˆāļēāļ™āđāļšāļšāļ­āļ­āļ™āđ„āļĨāļ™āđŒāļŦāļĢāļ·āļ­āļ­āļ­āļŸāđ„āļĨāļ™āđŒāđ„āļ”āđ‰āļ—āļļāļāļ—āļĩāđˆ
āđāļĨāđ‡āļ›āļ—āđ‡āļ­āļ›āđāļĨāļ°āļ„āļ­āļĄāļžāļīāļ§āđ€āļ•āļ­āļĢāđŒ
āļ„āļļāļ“āļŸāļąāļ‡āļŦāļ™āļąāļ‡āļŠāļ·āļ­āđ€āļŠāļĩāļĒāļ‡āļ—āļĩāđˆāļ‹āļ·āđ‰āļ­āļˆāļēāļ Google Play āđ‚āļ”āļĒāđƒāļŠāđ‰āđ€āļ§āđ‡āļšāđ€āļšāļĢāļēāļ§āđŒāđ€āļ‹āļ­āļĢāđŒāđƒāļ™āļ„āļ­āļĄāļžāļīāļ§āđ€āļ•āļ­āļĢāđŒāđ„āļ”āđ‰
eReader āđāļĨāļ°āļ­āļļāļ›āļāļĢāļ“āđŒāļ­āļ·āđˆāļ™āđ†
āļŦāļēāļāļ•āđ‰āļ­āļ‡āļāļēāļĢāļ­āđˆāļēāļ™āļšāļ™āļ­āļļāļ›āļāļĢāļ“āđŒ e-ink āđ€āļŠāđˆāļ™ Kobo eReader āļ„āļļāļ“āļˆāļ°āļ•āđ‰āļ­āļ‡āļ”āļēāļ§āļ™āđŒāđ‚āļŦāļĨāļ”āđāļĨāļ°āđ‚āļ­āļ™āđ„āļŸāļĨāđŒāđ„āļ›āļĒāļąāļ‡āļ­āļļāļ›āļāļĢāļ“āđŒāļ‚āļ­āļ‡āļ„āļļāļ“ āđ‚āļ›āļĢāļ”āļ—āļģāļ•āļēāļĄāļ§āļīāļ˜āļĩāļāļēāļĢāļ­āļĒāđˆāļēāļ‡āļĨāļ°āđ€āļ­āļĩāļĒāļ”āđƒāļ™āļĻāļđāļ™āļĒāđŒāļŠāđˆāļ§āļĒāđ€āļŦāļĨāļ·āļ­āđ€āļžāļ·āđˆāļ­āđ‚āļ­āļ™āđ„āļŸāļĨāđŒāđ„āļ›āļĒāļąāļ‡ eReader āļ—āļĩāđˆāļĢāļ­āļ‡āļĢāļąāļš