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Chapter Do user comments belong to journalistic articles? A brief visual history of user interaction on selected German and American news websites 1996–2024

The chapter reconstructs a brief history of online commenting, based on the position comments have to journalistic articles on news websites. Its key assumption is derived from paratext theory: Changes in spatial and temporal proximity of texts in the periphery of a main text––such as comments on th...

Бүрэн тодорхойлолт

-д хадгалсан:
Үндсэн зохиолчид: Paßmann, Johannes, Schories, Martina, Heinicker, Paul
Формат: Online
Хэл сонгох:англи
Хэвлэсэн: Firenze University Press 2025
Нөхцлүүд:
commenting
web archive
paratext
news websites
user comments
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GL Library and information sciences / Museology::GLC Library, archive and information management
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GL Library and information sciences / Museology::GLK Bibliographic and subject control
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GL Library and information sciences / Museology::GLP Archiving, preservation and digitization
Онлайн хандалт:ONIX_20241220_9791221504132_362
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
Тойм:The chapter reconstructs a brief history of online commenting, based on the position comments have to journalistic articles on news websites. Its key assumption is derived from paratext theory: Changes in spatial and temporal proximity of texts in the periphery of a main text––such as comments on the same web page as a journalistic article as compared to posts in a separate forum––indicate controversies over relevance of participants in a public discourse. Studying transformations of online comments is thus considered an access point to studying histories of public spheres. With help of a software the authors and colleagues developed, changes in commenting sections are traced and visualized. These changes are detected in a data sample of archived web pages provided by the Internet Archive.

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