Links table
Abstract and 1 Introduction 2. Data
3. Measurement of the media tilted and 3.1. Preparation and excellence
3.2. Classification of texts according to the source of the TV
3.3. Text text between newspapers and television stations and 3.4. Topic form
4. The Standard Economy Framework
4.1. Specifications of automatic variables
4.2. The instrument is the first stage and the validity
5. Results
5.1. The main results
5.2. Dumility examinations
6. Mechanisms and non -homogeneity
6.1. The content of local news versus the national or international
6.2. The Kabbieh news media is tilted by local newspapers
7. Conclusion and references
Online annexes
A. Data supplement
A.1. Newspaper articles
A.2. The alternative boycott of newspapers and A.3. Fetal the article excerpts
A.4. TV programs included peak times and A.5. Glory statistics
for. Approach, B.1. Text before processing and B.2. Bigrams is the most predictable for FNC or CNN/MSNBC
for. Human verification of the NLP model
B.4. Fox News distribution in newspapers and B.5. An example of articles from Fox News is similar
B.6. Topics from the LDA model based on newspapers
C. Approach the results
C.1. The results of the first stage and C.2. Exogeeity instrument
C.3. Faconation: The similarity of content in 1995/96
C.4. Ols results
C.5. Results of the reduced form
C.6. Sub -samples: newspaper headquarters and other provinces and C.7. Durabness: matching an alternative boycott
C.8. Durable: historical circulatory weights and C.9. Durabness: Relative blood circulation weights
C.10. Durable: absolute and relative FNC and C.11 scenes. Duble: dropping notes and assembly
C.12. Mechanisms: Language Features and topics
C.13. Mechanisms: descriptive evidence on the side of the request
C.14. Mechanisms: inclined infection and polarization
C.14. Mechanisms: inclined infection and polarization
Here, we repeat Table 4, but instead of the approvals of the pre -FNC/MSNBC newspapers, we distinguish the notes through the Republican vote at the boycott level (the lowest Tercile in the first column, the second in the middle, and the top Tercile in the last Tercile column). Quantitative, we find the same pattern: the relative FNC exposure coefficient in the first column, in addition to a relatively small plus in the second column (transactions in columns 1 and 2 are not important), before they turn largely, and large in the last column.
