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Subject
News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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Advertising types cross-network effects on two sided platforms

Russian Journal of Economics. 2025. Vol. 11. No. 3. P. 331–348.
Veronika A. Khlyupina, Svetlana V. Golovanova, Pontual Ribeiro E.

Broadcast TV is a well-known example of a two-sided platform where cross network effects on the viewer and advertising sides interact. Like many platforms, it is advertiser-financed. While the literature shows that viewers dislike advertising, we explore a unique data set and distinguish between paid and non-paid (informative) ads. Cross-network effects’ estimates show that the latter carries a positive network effect on viewership. We also explore a significant change in public interest for more information in TV content in Russia in 2022 to estimate structural changes to cross-network effects. The results indicate that negative paid ads’ cross-network effects on viewership demand become stronger while positive non-paid (information) ads cross-network effectsbecome weaker, even conditional on TV programing changes. Symmetrically, on the other side of the platform, advertisers value viewership less after the preference change.

Research target: Economics and Management
Language: English
Full text
DOI
Keywords: рекламателевидениеadvertisingоценка спросаdemand estimationперекрестные сетевые эффектыдвусторонние платформыbroadcast TVcross-network effectstwo-sided platforms
Publication based on the results of:
Restructuring of the Russian Companies, Industries and Markets in Response to New Global Challenges (2025)
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