In
the summer of 2014, several police shootings of unarmed black men sparked a
wave of protests throughout the United States. Several of the demonstrations
were organized by the group Black Lives Matter (BLM), which had formed only two
years earlier in response to the acquittal of George Zimmerman for the murder
of a black teen named Trevon Martin.[1]
Many of the police shootings in 2014 had been caught on camera and circulated
quickly on social media, igniting a contentious political debate in American
society. Supporters of BLM have claimed that the political system—including the
police and the judiciary—are biased against African Americans. These claims are
not without merit. Numerous academic studies indicate the existence of
prejudice against blacks in the judicial system, the market place, and many
other areas of political life (Bobo, Kluegel, and Smith, 1997). However,
opponents of BLM have claimed that African Americans are involved with more
altercations with police because of the culture of the black community itself,
which they claim is conducive towards more criminality and anti-police
attitudes. Given the importance of BLM in American political life and the
intense opposition to it, it is critical that we gain a better understanding of
who supports and opposes the group, and the reasons why they do so.
There are two theories that can
potentially explain support and opposition to BLM within the American
population. First, attitudes towards policing is one explanatory variable. Based
on this theory, conservative Republicans are more inclined to oppose BLM
because of their support for aggressive policing, the war on drugs, and long prison
sentences whereas liberal Democrats are more likely to support the group
because of their opposition to the criminalization of narcotics, the
militarization of police departments, and the rapid expansion of America’s
prison system. While conservatives may view recent police shootings as officers
defending themselves in a violent environment riddled with crime, liberals may see
it as the police abusing their power and using excessive force where it is
unwarranted. In other words, the political divide over BLM might be an
ideological one—specifically, over law enforcement policies in America.
Secondly, attitudes towards BLM
might be based on the politics of race, which are heavily influenced in America
by a phenomena known in academia as symbolic racism. This form of racism is
very different from the kind of prejudice that existed towards African
Americans during the Jim Crow era over a half century ago. Previously in
American history, racism was biological in nature, and the majority of white
Americans viewed blacks as being naturally inferior (Tarman and Sears, 2005). These
beliefs were used to first justify a system of segregation in the South.
However, following the migration of hundreds of thousands of African Americans
to urban areas in the early twentieth century and the rise of the Civil Rights
movement, the Jim Crow system collapsed as did the theory of biological racism that
legitimized the system. In 1964, Lyndon Johnson signed the Civil Rights Act
into law, and formal segregation came to an end. Nevertheless, sharp
socioeconomic and political divides remained between America’s white and black
communities. To bridge the racial gap, the majority of African Americans and
liberal whites have supported policies favoring the redistribution of wealth to
the black community and affirmative action as a redress for several centuries
of slavery, segregation, and political oppression. In contrast, conservative
whites have viewed slavery and segregation as part of a distant past and problems
in the African American community as being a result of cultural deficiencies.
From this perspective, individual blacks should embrace the Protestant ethic,
pull themselves up by their own bootstraps, and work harder. By the 1980’s, the
biological racism that once predominated in the white community had been
replaced by a cultural form of prejudice scholars now known as symbolic racism.
Conservative whites have used this ideology to justify their opposition to
policies that would redistribute wealth to disadvantaged black communities in
order to protect their own economic interests and privileged position in
society. Several scholars also argue that white liberals, conscious of this
history of inequality and inflicted with guilt, overcompensate for their own
innate prejudices and show bias towards African Americans (Nail, Harton, and
Decker, 2003). This form of prejudice is known as adverse racism. Consequently,
white conservatives might oppose BLM because they view the black community as
being responsible for their own problems; meanwhile, blacks and liberal whites might
support BLM because they believe that the political and economic system is
rigged against the African American community, so problems within that
community are a consequence of political and economic structures created by
whites and not the responsibility of individual blacks. This may explain why
conservatives and liberals have been so sharply divided over every salient
incident involving a police shooting of an unarmed black man regardless of the
particular nature of each individual shooting.
To
determine which of these theories explains the variance in support for BLM, I
will conduct a multi-regression analysis using data from the 2016 American
National Election Survey (ANES), which contains a stratified sample of the
American population. After eliminating missing responses, the data contains
2,045 respondents. The dependent variable is level of support for BLM, and this
will be measured with the ANES feeling thermometer that measures support of BLM
on a scale of 0 to 100. Below is a histogram showing the variation on the
dependent variable:
With
a mean of 48.4 and a standard deviation of 32.1, there is a significant degree
of variation in terms of the level of support for the movement.
The independent variables are attitudes
towards policing in America and symbolic racism. To operationalize the first
independent variable, I will use the ANES feeling thermometer for the police,
which askes respondents to state their level of support for the police on a
scale of 0 to 100. A negative coefficient will indicate support for the theory
that ideological stances on policing affect one’s position on BLM. In addition,
dummy variables for political ideology (conservative and liberal) and party
identification (Democrat, Republican, and Independent) were also added. The correlation of these variables with
opinions on BLM will strengthen the case for the first theory.
The second independent variable,
symbolic racism, will be measured using five 2016 ANES survey questions, which
have been frequently used by other academics to measure the concept (Tarman and
Sears, 2005). The questions are as follows:
1.
‘Generations of
slavery and discrimination have created conditions that make it difficult for
blacks to work their way out of the lower class.’
2.
Are you for or
against preferential hiring and promotion of blacks?
3.
On a scale of one
to seven, how much should the government help blacks?
4.
Do you favor,
oppose, or neither favor nor oppose allowing universities to increase the
number of black students studying at their schools by considering race along
with other factors when choosing students?
5.
‘It’s really a
matter of some people not trying hard enough, if blacks would only try harder
they could be just as well off as whites.’ Agree/disagree.[2]
Some
of these questions ask respondents to either agree or disagree while others ask
respondents to give their opinions on an ordinal scale of either one to five or
one to seven. With the exception of question three, negative coefficients for
these variables would support the symbolic racism theory. In addition, I tested
for Jim Crow racism or old fashioned racism by using the ANES feeling thermometer
for blacks. It should be noted that only a small minority of citizens hold
strong anti-black feelings towards African Americans so this variable is less
consequential in this analysis. This is indicated in the histogram below:
Symbolic
racism—not old fashioned racism—is the main independent variable of interest. The
feeling thermometer for whites was added as a placebo as it is not expected for
attitudes towards whites to be correlated with support or opposition to BLM.
Finally, a dummy variable on race was also added with black being coded as one
and white being coded as zero. It is expected that racial identity will be
correlated with attitudes towards BLM.
Numerous control variables were also
added to ensure that other factors are not explaining the variation on the
dependent variable. Demographic variables such as age, education (labeled as
BA, which indicates whether or not the respondent has a college education or
not) and gender (female is coded as one and male as zero) will be included in
the multivariate analysis. In addition, I controlled for the variable
authoritarianism by using the following question from the 2016 ANES survey:
When protestors get ‘roughed up’ for disrupting
political events, how much do they generally deserve what happens to them?
It is
possible that attitudes towards BLM might be affected by attitudes towards
democracy and specifically people’s right to protest. A negative coefficient
would indicate support for this alternative theory. Finally, a variable testing
the interaction between gender and party identification was also added on the
assumption that male Republicans would have a more negative attitude towards
BLM than female Republicans, and female Democrats would have a more positive
attitude towards BLM than male Democrats.
The multivariate analysis is
shown below and standardized variable coefficients are on the right side of the
chart. It is my hypothesis that the independent variables measuring symbolic
racism will explain a greater degree of the variation in support for BLM than
the variable measuring attitudes towards the police. The results of the
multivariate analysis are as follows:
Regression Model for Black Lives
Matter
|
||||
Coefficients
|
Standard Error
|
T Scores
|
||
Republican
|
-2.56
|
(1.88)
|
-1.36
|
|
Democrat
|
8.94
|
(2.14)
|
4.19
|
***
|
Ideology
|
-2.24
|
(0.47)
|
-4.75
|
***
|
Income
|
-0.10
|
(0.07)
|
-1.45
|
|
Female
|
6.93
|
(1.28)
|
5.40
|
***
|
Female*Democrat
|
-1.30
|
(1.93)
|
-0.67
|
|
Age
|
0.04
|
(0.03)
|
1.31
|
|
Education
|
-0.84
|
(1.05)
|
-0.81
|
|
Race
|
9.34
|
(2.02)
|
4.63
|
***
|
Slavery Question
|
-2.75
|
(0.45)
|
-6.17
|
***
|
Black Work Ethic Question
|
1.62
|
(0.49)
|
3.34
|
***
|
Police Thermometer
|
-0.05
|
(0.03)
|
-1.84
|
|
Authoritarianism
|
-1.93
|
(0.43)
|
-4.49
|
***
|
Affirmative Action at Uni
|
-1.96
|
(0.33)
|
-6.00
|
***
|
Black Welfare Question
|
-2.36
|
(0.38)
|
-6.27
|
***
|
Affirmative Action
|
-4.61
|
(1.50)
|
-3.08
|
***
|
White Thermometer
|
-0.05
|
(0.03)
|
-1.56
|
|
Black Thermometer
|
0.23
|
(0.03)
|
7.52
|
***
|
_cons
|
70.99
|
(4.56)
|
15.57
|
|
Observations
|
1999.00
|
|||
R-Squared
|
0.58
|
|||
*p<.05
|
||||
**P<.01
|
||||
***p<.001
|
Overall,
these variables explain approximately 58 percent of the variation in attitudes
towards BLM according to the adjusted r-squared value. The results also
indicate strong support for the symbolic racism thesis. All five questions are
statistically significant (P<.001) and indicate that respondents who hold a
symbolically racist ideology also tend to oppose BLM. Furthermore, racial
identity is also heavily correlated with support for BLM as blacks are far more
likely than whites to support BLM. Not surprisingly, old fashioned racism is
also correlated with opposition to BLM. As predicted, the variable measuring attitudes
towards police provided very weak evidence to support the first theory. The
coefficient for the police thermometer is correlated in the right direction but
barely missed statistical significance with a p-value of .066. Furthermore, while
being a democrat is correlated with support for BLM with statistical
significance, being a Republican is surprisingly not strongly correlated with
opposition to BLM and was not statistically significant. However, being both
conservative and liberal were strongly correlated with the dependent variable. This
indicates that conservative and liberal differences over race and not policing
had the largest effect on the dependent variable. As for the control variables,
age and education also have no effect on the dependent variable, although
females are far more likely than males to support BLM. The interaction variable
for gender and political party identification was also statistically
insignificant. Finally, attitudes towards authoritarianism are correlated with
opposition to BLM, and this has some potential implications that are outside
the bounds of this study.
Robustness checks were also
conducted for heteroscedasticity and multicollinearity. To check for
heteroscedasticity, the Breuch-Pagan Test was conducted. The test resulted in a
p-value of .0057, so the regression analyses was conducted again using the
Huber Sandwich estimator to ensure statistical robustness. The results did not
differ with statistical significance from the original regression model. To
check for multicollinearity, the variance inflation factor was analyzed, but
none of the coefficients were above 10.
Overall, the results show that
blacks, liberals, and women are statistically more likely to support BLM
whereas whites, conservatives, and men are more likely to oppose BLM. The
reasons why have less to do with the current political debates over policing in
America and have far more to do with attitudes towards race.
Nevertheless, there are several
problems with the internal validity of this study that might have created
biased results. Previous studies have indicated that feeling thermometers on
police may not measure how respondents feel about “local” policing but the
“global” idea of police (Scaglion and Condon, 1980). While respondents may
support liberal criminal justice reforms, they may not have an overall negative
feeling on the police as an institution. This may have created biased results.
More specific questions on attitudes towards policing and criminal justice are
needed to improve upon this study. Furthermore, other control variables should
have been used as well. It is possible that conservatives oppose affirmative
action and the redistribution of wealth to the black community due to their
stance on the welfare state. However, based
on the results of previous studies, I have reason to doubt that including these
variables will affect the results (DeSante, 2013), but they should have been
included anyway as a robustness check. Overall, based on the strong correlation
between all five symbolic racism questions and the dependent variable, I can confidently
conclude that attitudes towards race had a very real effect on support and
opposition to BLM.
Work Cited
Christopher D. DeSante. 2013. “Working Twice as Hard to Get
Half as Far: Race, Work Ethic, and America's Deserving Poor.” American Journal of Political Science,
57(2): 342-356.
Kinder, Donald and David Sears. 1981. “Prejudice and
Politics: Symbolic Racism versus Racial Threats to the Good Life," Journal of Personality and Social Psychology,
40(3): 414-431.
Lowery, Wesley. January 17, 2017. “Black Lives Matter: Birth
of a Movement,” https://www.theguardian.com/us-news/2017/jan/17/black-lives-matter-birth-of-a-movement.
Nail, Paul R., Helen C. Harton, and Brian P. Decker. 2003. "Political
Orientation and Modern versus Aversive Racism: Tests of Dovidio and Gaertner's
(1998) Integrated Model." Journal of
Personality and Social Psychology, 84(4): 754.
Scaglion, Richard and Richard Condon. 1980. “The Structure of
Black and White Attitudes towards Police,” Human
Organization, 39(3): 280-283.
Sniderman, Paul M., Thomas Piazza, Philip E. Tetlock, and Ann
Kendrick. 1991. “The New Racism.” American
Journal of Political Science, 35(2): 423-447.
Tarman, Christopher and David Sears. 2005. “The
Conceptualization and Measurement of Symbolic Racism.” The Journal of Politics, 67(3): 731–761.
Terkildsen, Nayda. 1993. “When White Voters Evaluate Black
Candidates: The Processing Implications of Candidate Skin Color, Prejudice, and
Self-Monitoring.” American Journal of
Political Science, 37(4): 1032-1053.
“User’s Guide and Codebook for the ANES 2016 Time Series Study,”
http://www.electionstudies.org/studypages/anes_timeseries_2016/anes_timeseries_2016_userguidecodebook.pdf, 2016.
Weizer, Ronald. 2004. “Race and Perceptions of Police
Misconduct,” Social Problems, 51(3):
305-25.
[1] Lowery, Wesley. January 17, 2017. “Black Lives Matter:
Birth of a Movement,” https://www.theguardian.com/us-news/2017/jan/17/black-lives-matter-birth-of-a-movement.
[2] “User’s Guide and Codebook for the ANES 2016 Time
Series Study,” http://www.electionstudies.org/studypages/anes_timeseries_2016/anes_timeseries_2016_userguidecodebook.pdf, 2016.
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