Classifier Instance:

Anchor text: John Lott
Target Entity: John_Lott
Preceding Context: Steve Ansolabehere, Rebecca Lessem and Jim Snyder of the Massachusetts Institute of Technology analyze the political orientation of endorsements by U.S. newspapers. They find an upward trend in the average propensity to endorse a candidate, and in particular an incumbent one. There are also some changes in the average ideological slant of endorsements: while in the 40s and in the 50s there was a clear advantage to Republican candidates, this advantage continuously eroded in subsequent decades, to the extent that in the 90s the authors find a slight Democratic lead in the average endorsement choice.
Succeeding Context: and Kevin Hassett of the American Enterprise Institute study the coverage of economic news by looking at a panel of 389 U.S. newspapers from 1991 to 2004, and from 1985 to 2004 for a subsample comprising the top 10 newspapers and the Associated Press. For each release of official data about a set of economic indicators, the authors analyze how newspapers decide to report on them, as reflected by the tone of the related headlines. The idea is to check whether newspapers display some kind of partisan bias, by giving more positive or negative coverage to the same economic figure, as a function of the political affiliation of the incumbent President. Controlling for the economic data being released, the authors find that there are between 9.6 and 14.7 percent fewer positive stories when the incumbent President is a Republican.
Paragraph Title: null
Source Page: Media bias

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