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Live Text Coverage of Political Events : Combining Content and Corpus-based Discourse Analysis
Werner, Valentin; Michael, Hendrik. - : Otto-Friedrich-Universität, 2022. : Bamberg, 2022
Abstract: Live text (LT) has emerged as a web-native CMC alternative to traditional forms of live broadcasting. Through a combined content and corpus-based discourse analysis of the LT coverage of a major political event (the 2020 US presidential debates), the present study tests (i) how current LTs emphasize transparency and accountability, and (ii) how they are a form of journalistic communication that normalizes professional norms of objectivity in hybrid media settings. Political LT emerges as multi-layered and multi-authored discourse that places strong emphasis on accountability and disclosure transparency by updating and linking information, while maintaining the journalistic gatekeeping/gatewatching function. Linguistically, it is characterized by an informal tone but also by a continuation of traditional news media practices as regards objectivity, as instantiated by the salience of debate topics and political terms and – unlike the more widely studied sports LT – by a clear delineation of information from opinion and contextualization.
Keyword: 070; digital journalism; live blogging; live text; media linguistics; media studies; online news; political journalism
URL: https://fis.uni-bamberg.de/handle/uniba/51860
https://surfdrive.surf.nl/files/index.php/s/XA98WYsEdGYc0kY/download
https://nbn-resolving.org/urn:nbn:de:bvb:473-irb-518605
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