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Aleksandra Urman on Muck Rack

Aleksandra Urman

Beijing, Bern
As seen in: Nature, arXiv, PLOS ONE, SAGE Publishing, Taylor & Francis Online, Emerald Publishing, First Monday, The Defense Post, The Globe Post
Postdoc at Social Computing Group @UZH_en @uzh_ifi Computational social science, PolComm on social media, all things web search

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Aleksandra Urman’s Biography

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Freelance journalist from Russia, currently based in Beijing. I cover East Asia, Eastern and Central Europe, as well as tech and education.
I speak Russian, English, Korean and some Spanish and Chinese.
Contact: a.e.urman@gmail.com

Aleksandra Urman’s Journalist Portfolio

Andrej Babis, Euroscepticism and the Future of the EU

Andrej Babis, Euroscepticism and the Future of the EU

On October 21, billionaire Andrej Babis and his ANO party won the Czech Republic's general elections by a wid…

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China's 'War on Terror' Might Bring About a Real Terror Threat

China's 'War on Terror' Might Bring About a Real Terror Threat

BEIJING, China - In the beginning of the fall, the Chinese government resorted to repressive measures against…

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Высшее образование за границей: все, что нужно знать при поступлении

Высшее образование за границей: все, что нужно знать при поступлении

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Оскал социализма: Как Китай заболел совместным потре...

Оскал социализма: Как Китай заболел совместным потре...

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Нейросеть вместо препода, игра вместо зубрежки

Нейросеть вместо препода, игра вместо зубрежки

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Articles

Googling the Big Lie: Search Engines, News Media, and the US 2020 Election Conspiracy

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By de Leon, Mykola Makhortykh, Aleksandra Urman, Roberto Ulloa
| arXiv
[Submitted on 30 Aug 2024] Title:Googling the Big Lie: Search Engines, News Media, and the US 2020 Election Conspiracy View a PDF of the paper titled Googling the Big Lie: Search Engines, News Media, and the US 2020 Election Conspiracy, by Ernesto de Le\'on and 3 other authors View PDF Abstract:The conspiracy theory that the US 2020 presidential election was fraudulent - the Big Lie - remained a prominent part of the media agenda months after the election.
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Opportunity structures for user acceptance of news recommender systems (NRS): A multi-country survey study of relationships between individual-level factors and evaluations of NRS - Edina Strikovic, Sina Blassnig, Eliza Mitova, Aleksandra Urman, Frank Ess

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By Edina Strikovic, Sina Blassnig, Eliza Mitova, Aleksandra Urman
| SAGE Publishing
Studies on the effects of the digitalization of the media environment are a fundamental aspect of recent communication research. Personalization of media, for example, has received much attention, with both benefits and concerns about algorithmic personalization discussed at length (Bozdag, 2013; Möller et al., 2018). Often, these developments are discussed in terms of effects, that is, what positive or negative effects new technologies can have on either the media users (or providers).
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A Balancing Act: How Media Professionals Perceive the Implementation of News Recommender Systems

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By Sina Blassnig, Edina Strikovic, Eliza Mitova, Aleksandra Urman
| Taylor & Francis Online
Abstract News recommender systems (NRS), the algorithmic automation and personalization of news recommendations, may benefit both media producers and users. Yet, they raise concerns about the quality, diversity, and responsibility of journalism. Despite growing research, empirical investigations on news media’s employment of NRS have remained scarce, particularly in small media markets and across different organizational types.
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See all 19 licensed articles (20 Total)

Interview

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Office, Infogram, Wordpress, R Studio

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Twitter

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