Objective
How is political accountability and firm performance in an autocracy affected by media? This project will analyse how economic and political outcomes in China are affected by social and traditional media. It will also use media content to measure factors that are otherwise difficult to observe, such as political networks and the trade-off between political and economic goals in Chinese firms. An explosion of social media use in China has produced an information shock to society and its leaders, also supplying a data shock to researchers, which is magnified by the digitization of traditional media content, and coupled with new methods for analysing this type of data, originating from the in big data and machine-learning literatures. As a result, a large set of previously unanswerable questions are now open for research.
In Qin, Strömberg and Wu (2016) we document this information shock, using a data set of over 13 billion social media posts from Sina Weibo (the Chinese equivalent of Twitter). We show that millions of posts concern sensitive topics such as organized protests and explicit accusations of top leaders of corruption. Traditional media is silent on these issues. We argue that the likely reason for the lighter censoring of social media is that the central government finds the information useful for monitoring officials, firms, and citizen unrest.
In this project, I will analyze the effect of this information shock on protests and strikes, the sales of counterfeit and substandard medicines, the promotion of local leaders, and coverage of censored events in traditional media. Together with a set of collaborator, I will study the effects of social media using the staggered introduction of Sina Weibo across geographic regions. I will also study the content, entry and exit of general-interest newspapers that are all controlled by different politicians. This is to investigate the trade-off between political and economic goals and political connections.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-ADG - Advanced Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2016-ADG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
10691 Stockholm
Sweden
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.