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BREAKING MRC POLL: Majority of Voters Believe Media Hope Shutdown Hurts Trump Reelection

Posted on 09 June 2020

RESTON, VA -- The Media Research Center (MRC) in coordination with McLaughlin & Associates on Tuesday released the findings of a new poll examining likely voters’ attitudes toward media coverage of the coronavirus shutdown and President Trump. The poll found that 60% of likely voters, both liberal and conservative, believed some members of the media would like to see the shutdown drag on so that it hurts President Trump's chances of reelection in November. Of those polled, 85% of self-identified conservatives and 41% of self-identified liberals agreed with the above statement. “This is just more evidence of how at odds the American liberal media are with the American public,” said MRC President Brent Bozell. “Honest journalism has been replaced with leftist advocacy. Even in these divisive times, both conservatives and liberals can agree on one thing: the media have it out for President Trump.” Here are some of the poll’s findings: QUESTION [OF LIKELY VOTERS]: DO YOU BELIEVE THERE ARE SOME MEMBERS OF THE MEDIA THAT WOULD LIKE TO SEE THIS SHUTDOWN DRAGON AS LONG AS POSSIBLE SO THAT IT HURTS PRESIDENT TRUMP'S CHANCES IN NOVEMBER? [TOTAL] Total  1000 YES  59.8% NO  30.6% DK/REFUSE  9.6% NetDiff. 29.2%   [LIBERAL] Total  292 YES  41.3% NO  48.6% DK/REFUSE  10.0% Net Diff.  -7.3%   [CONSERVATIVE] Total  352 YES  84.9% NO  11.7% DK/REFUSE  3.4% Net Diff.  73.2% Go here for the full results.   Methodology:  This survey of 1,000 likely general election voters nationwide was conducted on May 21-26, 2020. All interviews were conducted online; survey invitations were distributed randomly within predetermined geographic units. These units were structured to correlate with actual voter turnout in a nationwide general election. This poll of 1,000 likely general election voters has an accuracy of +/- 3.1% at a 95% confidence interval. The accuracy of the responses from the 352 self-described conservatives is +/- 5.2% at a 95% confidence interval.