Literature DB >> 25146296

Political science. Reverse-engineering censorship in China: randomized experimentation and participant observation.

Gary King1, Jennifer Pan2, Margaret E Roberts3.   

Abstract

Existing research on the extensive Chinese censorship organization uses observational methods with well-known limitations. We conducted the first large-scale experimental study of censorship by creating accounts on numerous social media sites, randomly submitting different texts, and observing from a worldwide network of computers which texts were censored and which were not. We also supplemented interviews with confidential sources by creating our own social media site, contracting with Chinese firms to install the same censoring technologies as existing sites, and--with their software, documentation, and even customer support--reverse-engineering how it all works. Our results offer rigorous support for the recent hypothesis that criticisms of the state, its leaders, and their policies are published, whereas posts about real-world events with collective action potential are censored.
Copyright © 2014, American Association for the Advancement of Science.

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Mesh:

Year:  2014        PMID: 25146296     DOI: 10.1126/science.1251722

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  6 in total

1.  Social media as a sensor of air quality and public response in China.

Authors:  Shiliang Wang; Michael J Paul; Mark Dredze
Journal:  J Med Internet Res       Date:  2015-03-26       Impact factor: 5.428

2.  Automated content analysis across six languages.

Authors:  Leah Cathryn Windsor; James Grayson Cupit; Alistair James Windsor
Journal:  PLoS One       Date:  2019-11-20       Impact factor: 3.240

3.  Predictability limit of partially observed systems.

Authors:  Andrés Abeliuk; Zhishen Huang; Emilio Ferrara; Kristina Lerman
Journal:  Sci Rep       Date:  2020-11-24       Impact factor: 4.379

4.  Concerns Discussed on Chinese and French Social Media during the COVID-19 Lockdown: Comparative Infodemiology Study based on Topic Modeling.

Authors:  Stéphane Schück; Pierre Foulquié; Adel Mebarki; Carole Faviez; Mickaïl Khadhar; Nathalie Texier; Sandrine Katsahian; Anita Burgun; Xiaoyi Chen
Journal:  JMIR Form Res       Date:  2021-03-15

5.  Studying information recurrence, gatekeeping, and the role of communities during internet outages in Venezuela.

Authors:  Pamela Bilo Thomas; Emily Saldanha; Svitlana Volkova
Journal:  Sci Rep       Date:  2021-04-14       Impact factor: 4.379

6.  Human Rights Texts: Converting Human Rights Primary Source Documents into Data.

Authors:  Christopher J Fariss; Fridolin J Linder; Zachary M Jones; Charles D Crabtree; Megan A Biek; Ana-Sophia M Ross; Taranamol Kaur; Michael Tsai
Journal:  PLoS One       Date:  2015-09-29       Impact factor: 3.240

  6 in total

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