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This study aims to explore the patterns and trends of Internet news use in a Chinese metropolis, Shanghai. By analyzing news webpage browsing data from three selected months in 2009, 2010, and 2011, we seek to present some evidence other than self-report data, which were widely used in past research but subject to the influence of memory limitation and social desirability. Our findings are: First, Internet users in Shanghai paid more attention to soft news, and finance and economy news, than to social and political news both in terms of visit times and visit duration. Second, news page visits and the amount of time people spent on reading news online suggest clear monotonic growth across all categories of news content over a three-year period. Third, despite the growing amount of visits and time used for online news, the proportion of visits and time devoted to news viewing to total webpage visits and time spent online decreased significantly. However, “social and political news” and “finance and economy news” did not experience any decline. Finally, existing gaps were identified between different demographic groups in terms of news reading frequency online, but no clear trends were identified concerning how the gaps developed over time.
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Stored only when both papers are in the corpus — 8 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.