What Drives Media Slant? Evidence from U.S. Daily Newspapers
By Matthew Gentzkow, Jesse M. Shapiro. 2006
1,339 citations recorded by the source corpus.
Subfields: Marketing, Media Technology, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/23775ed72f35e3b8d2585597b217c306a7996350
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Marketing
- David Strömberg
- Maria Petrova
- Justine S. Hastings
- Jesse M. Shapiro
- Stefano DellaVigna
- Ali Yurukoglu
- Gregory J Martin
- John Duggan
In Media Technology
- David Strömberg
- Maria Petrova
- Matthew Gentzkow
- John R. Lott
- K. Hassett
- John Duggan
- César Martinelli
- Ali Yurukoglu
In Sociology and Political Science
- David Strömberg
- Maria Petrova
- Matthew Gentzkow
- Stefano DellaVigna
- Jesse M. Shapiro
- Sharad Goel
- Ali Yurukoglu
- David M. J. Lazer
Citations in the corpus
- Text as Data (2017, neutral): “Taddy (2013b) shows how to combine a more sophisticated generative model with a novel algorithm for estimation to estimate the predictive model in a single step 29 As Taddy (2013b) notes, this method (which Gentzkow and Shapiro 2010 derive in an ad hoc fashion) is essentially partial least squares.”
- Is Wikipedia Biased (2012, neutral): “5 For example, Groseclose and Milyo (2005), Mullainathan and Shleifer (2005), Gentzkow and Shapiro (2006), Bernhardt, Krasa, and Polborn (2008), Balan, DeGraba, and Wickelgren (2009) and Gentzkow and Shapiro (2010).”
- Quantifying Political Leaning from Tweets and Retweets (2013, methodology): “Except for (Gentzkow and Shapiro 2010), all studies require some form of manual coding and analysis, which is expensive and time-consuming.”
- Dividends and economic policy uncertainty: International evidence (2021, positive): “12 reliability of the index, they use the media slant index of Gentzkow and Shapiro (2010) to divide newspapers based on whether they exhibit a left or right political slant and they compare the “left” and “right” versions of the index.”
- Media and Politics (2015, positive): “Empirically, Gentzkow and Shapiro (2010) …nd that the bias of U.S. newspapers is signi…cantly correlated with the ideology of their readers.”
- Computer‐Assisted Keyword and Document Set Discovery from Unstructured Text (2017, neutral): “See for example Eshbaugh-Soha (2010), Gentzkow and Shapiro (2010), Hopkins and King (2010), Ho and Quinn (2008), King, Pan and Roberts (2013), Puglisi and Snyder (2011).”
- In Plain Sight: Media Bias Through the Lens of Factual Reporting (2019, positive): “Multiple studies have identified the correlation be-tween the increasing polarization of media and the general population’s political stance (Gentzkow and Shapiro, 2010, 2011; Prior, 2013), underscoring the imperative to understand the nature of news bias and how to accurately detect it.”
- Aggregate and Idiosyncratic Political Risk: Measurement and Effects (2016, neutral): “…have relied on newspaper archives and firm disclosures as source texts (Baker et al. (2016); Koijen et al. (2016); Wiesen and Wysocki (2015); Gentzkow and Shapiro (2010)), we introduce the idea that (transcripts of) conference calls provide a natural context to learn about the risks firms…”