2014
DOI: 10.1093/poq/nft082
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Who Let the (Attack) Dogs Out? New Evidence for Partisan Media Effects

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Cited by 76 publications
(33 citation statements)
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“…Those in the control group saw a tweet from the “CNN Breaking News” handle, intended to be neutral in terms of the source and the content. The neutral tweet, displayed in Figure , was attributed to a CNN program as the network’s coverage is (at least perceived as) much more evenhanded (or was, in the context of early 2015), compared with the Fox News Channel and MSNBC (Coe et al, ; Smith & Searles, ). In this tweet, the transportation policies are not tied to any specific party or ideology.…”
Section: Studymentioning
confidence: 99%
“…Those in the control group saw a tweet from the “CNN Breaking News” handle, intended to be neutral in terms of the source and the content. The neutral tweet, displayed in Figure , was attributed to a CNN program as the network’s coverage is (at least perceived as) much more evenhanded (or was, in the context of early 2015), compared with the Fox News Channel and MSNBC (Coe et al, ; Smith & Searles, ). In this tweet, the transportation policies are not tied to any specific party or ideology.…”
Section: Studymentioning
confidence: 99%
“…Much of this research has focused on the ways in which the media cover political parties and individuals who are either aligned or stand in opposition to their own political agenda. Some of these studies reported that clearly aligned conservative and liberal media were more sympathetic to politicians who shared their political orientations, presenting them as more competent, warm, and agreeable and downplaying their failures (Aday, ; Barrett and Barrington, ; Baum and Groeling, ; Smith and Searles, ). Others, however, found only a weak relationship, or none at all, between the political leaning of a given media outlet and its depiction of ideologically aligned politicians (Niven, ; Soroka, ; Waldman and Devitt, ).…”
Section: Political Leaning and Media Sentiment: Theory And Research Hmentioning
confidence: 99%
“…The result is often "profound" biases in estimated effects, with a greater than 600% difference from the truth (22,23) given common levels of endogeneity, measurement error, and self-selection [see also (24)]. These biases have been addressed in some of social science's most creative observational studies, although these approaches are well suited to answering certain questions (such as those for which instruments are available) but not others [e.g., (25)(26)(27)(28)(29)(30)(31)(32)]. The biases are also addressed via elegant experiments and quasi-experiments, often made possible by studying different quantities of interest, such as individual-level effects or occasionally the effects on aspects of the national conversation (26,(33)(34)(35)(36)(37)(38)(39)(40)(41)(42).…”
mentioning
confidence: 99%