Social Media Influence Mainstream Media: Evidence from Two Billion Tweets
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Abstract
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Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-03877907
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Other versions of this item:
- Julia Cagé & Nicolas Hervé & Béatrice Mazoyer, 2022. "Social Media Influence Mainstream Media: Evidence from Two Billion Tweets," SciencePo Working papers Main hal-03877907, HAL.
- Cage, Julia & Hervé, Nicolas & Mazoyer, Béatrice, 2022. "Social Media Influence Mainstream Media: Evidence from Two Billion Tweets," CEPR Discussion Papers 17358, C.E.P.R. Discussion Papers.
More about this item
Keywords
Internet; Information spreading; News editors; Network analysis; Social media; Twitter; Text analysis;All these keywords.
JEL classification:
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
- L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
- L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
- L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
- L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2023-01-09 (Big Data)
- NEP-ICT-2023-01-09 (Information and Communication Technologies)
- NEP-NET-2023-01-09 (Network Economics)
- NEP-PAY-2023-01-09 (Payment Systems and Financial Technology)
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