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Organized Labor as the New Undeserving Rich?: Mass Media, Class-Based Anti-Union Rhetoric and Public Support for Unions in the United States

Published online by Cambridge University Press:  14 August 2017

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Abstract

Labor unions play a prominent role in the economy and in politics, and have long been depicted by opponents as an overly powerful, corrupt and economically harmful institution. In labor-related news in recent years, anti-union rhetoric has regularly focused on union workers themselves, frequently portraying them as overpaid, greedy and undeserving of their wealth, while also drawing a contrast between the compensation of union vs. non-union workers. This type of rhetoric is referred to here as class-based anti-union rhetoric (CAR). Despite its prevalence, it remains unknown whether CAR affects public opinion toward unions. This study uses a series of national survey experiments to demonstrate that exposure to CAR reduces the perceived similarity of targeted union workers, unions’ perceived deservingness of public support and support for pro-union legislation. Moreover, CAR repeatedly nullified or reversed the otherwise positive relationship between the strength of worker identity and solidarity with union workers.

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© Cambridge University Press 2017 
Figure 0

Table 1 Sample Comparisons by Key Demographic and Political Variables

Figure 1

Table 2 Sample Content From Different Experimental Conditions by Survey Experiment – MTurk Survey Experiments

Figure 2

Fig. 1 Plotted effects of experimental treatments on solidarity with union workers – MTurk survey experiments Notes: plotted values are unstandardized coefficient estimates from ordered logistic regression models. Topp is the estimated marginal effect of going from the control to the ‘opposition’ condition, TCAR is the estimated marginal effect of going from the control to the ‘class-based anti-union rhetoric’ (CAR) condition, and TCAR/Topp is the estimated marginal effect of going from the ‘opposition’ to the CAR condition. Vertical bars around point estimates represent 50 per cent (thick bars) and 95 per cent (thin bars) confidence intervals. N=496 (LIRR Experiment), N=455 (UAW Experiment), N=504 (Teachers Experiment). ‘dy/dx’ is the first difference in the predicted probability of perceiving the targeted workers as similar/deserving associated with each respective movement between experimental groups. All models control for education, income, age, gender, race, party ID and union membership.

Figure 3

Fig. 2 Indirect effects of CAR on support for pro-union policies Notes: entries along solid line paths are logistic regression coefficients, while those along dotted line paths represent the average causal mediation effects (ACMEs) – that is, the indirect effects – of exposure to CAR on the probability of agreeing with each policy outcome via perceived similarity and deservingness. *p<0.05, **p<0.01, ***p<0.001 (two tailed tests).

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Fig. 3 The effect of worker identity strength on solidarity with union workers by experimental condition – MTurk survey experiments Note: figures plot coefficient estimates with 90 per cent confidence intervals from ordered logistic regression models estimated by treatment condition.

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Fig. 4 Results from Replication of LIRR Experiment – Qualtrics Sample Note: entries in Panels A and C are coefficient estimates from ordered logistic regression models (estimated by treatment condition for Panel C) and the bars around the point estimates represent 95 per cent confidence intervals. For Panel A, ‘dy/dx’ is the first difference in the predicted probability of perceiving the targeted workers as similar/deserving associated with each respective movement between experimental groups. Panel B displays logistic regression coefficients along the solid line paths, while entries along the dotted line paths represent the average causal mediation effects (ACMEs) – i.e., indirect effects – of exposure to CAR on the probability of agreeing with each policy outcome via perceived similarity and deservingness. All models control for education, income, age, gender, race, party ID, and union membership.

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