Browsing by Author "Brewer, Paul"
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Item Delaware Voter Survey 2014: Methodology and topline results(Center for Political Communication, University of Delaware, Newark, DE, 2014-09-22) Brewer, PaulThe National Agenda Opinion Project research was funded by the University of Delaware’s Center for Political Communication (CPC) and the William P. Frank Foundation. The study was supervised by the CPC’s Associate Director, Paul Brewer, a professor in the Departments of Communication and Political Science & International Relations. Results are based on telephone interviews with a representative sample of 902 adults residing in the state of Delaware. Telephone interviews were conducted via landline (n=450) and cell phone (n=452 including 190 without a landline phone). The survey was conducted by Princeton Survey Research Associates International, and the interviews were administered in English by Princeton Data Source. The data were collected from September 10-22, 2014. Statistical results are weighted to correct known demographic discrepancies. The margin of sampling error for the complete set of weighted data is ± 3.9percentage points. Results based on subsamples have larger margins of error. Readers should be aware that in addition to sampling error, question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of public opinion polls.Item Delaware Voter Survey 2016: Methodology and topline results(Center for Political Communication, University of Delaware, Newark, DE, 2016-09-28) Brewer, PaulThe National Agenda Opinion Project research was funded by the University of Delaware’s Center for Political Communication (CPC) and the William P. Frank Foundation. The study was supervised by the CPC’s Research Director, Paul Brewer, a professor in the Departments of Communication and Political Science & International Relations. Results are based on telephone interviews with a representative sample of 900 registered voters. Telephone interviews were conducted by landline (450) and cell phone (450, including 187 without a landline). The survey was conducted from September 16-28, 2016, by Princeton Survey Research Associates International. Statistical results are weighted to correct known demographic discrepancies. The margin of sampling error for the complete set of weighted data is ± 3.8 percentage points. Readers should be aware that in addition to sampling error, question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of public opinion pollsItem Delaware Voter Survey 2018: Methodology and topline results(Center for Political Communication, University of Delaware, Newark, DE, 2018-09-17) Brewer, PaulThe National Agenda Opinion Project research was funded by the University of Delaware's Center for Political Communication (CPC) with support from the College of Arts and Sciences. The study was supervised by the CPC's Research Director, Paul Brewer, a professor in the Departments of Communication and Political Science & International Relations. The study was fielded by Abt Associates and obtained telephone interviews with a representative sample of 995 adults living in Delaware, including 908 registered voters. A total of 348 respondents were interviewed on a landline telephone and 647 were interviewed on a cell phone. Interviewing was conducted from September 11-17, 2018 in English. Samples were drawn from both landline and cell phone random digit dialed (RDD) frames and a list of Delaware registered voters. Both the landline and cell phone RDD samples were provided by Survey Sampling International. Statistical results are weighted to match the population parameters of the adult population in Delaware. The margin of sampling error for the sample of registered voters is ± 3.7 percentage points. Overall, the response rate (AAPOR RR3) was 14.4% for the landline RDD sample, 3.6% for the cell RDD sample, 5.8% for landline numbers from the RV sample and 6.7% for cell numbers from the RV sample.Item Delaware Voter Survey 2020: Methodology and topline results(Center for Political Communication, University of Delaware, Newark, DE, 2020-09-27) Brewer, PaulThe National Agenda Opinion Project research was funded by the University of Delaware's Center for Political Communication (CPC) with support from the College of Arts and Sciences. The study was supervised by the CPC's Research Director, Paul Brewer, a professor in the Departments of Communication and Political Science & International Relations. The study was fielded by Abt Associates and obtained telephone interviews with a representative sample of 976 adults living in Delaware, including 911 registered voters and 847 likely voters. A total of 327 respondents were interviewed on a landline telephone and 649 were interviewed on a cell phone. Interviewing was conducted from September 21-27, 2020, in English. Samples were drawn from both landline and cell phone random digit dialed (RDD) frames and a list of Delaware registered voters. Both the landline and cell phone RDD samples were provided by Dynata. Statistical results are weighted for telephone service, sample frame, age, gender, race/ethnicity, education, and voter registration status by county to match the population parameters of the adult population in Delaware. The margin of sampling error for registered voters is ± 4 percentage points (the margin of sampling error is larger for results from subsamples). Overall, the response rate (AAPOR RR3) was 2% for the landline RDD sample, 3% for the cell RDD sample, 4% for landline numbers from the RV sample, and 2% for cell numbers from the RV sample.Item Media Messages and U.S. Public Opinion about Artificial Intelligence(Department of Communication, University of Delaware, Newark, DE, 2020-08) Brewer, Paul; Wilson, David; Bingaman, James; Paintsil, Ashley; Obozintsev, Lucy; Brewer, Paul; Wilson, DavidA national survey conducted March 17-27, 2020 and supervised by researchers at the University of Delaware finds that the American public holds favorable but wary views on artificial intelligence (AI). Most Americans support the development of AI, a plurality support public funding for it, and few support banning it. A majority also favor regulating the technology. The survey finds widespread support for AI uses involving military drones and diagnosing diseases, but opinions are more divided on self-driving vehicles and facial identification. Americans are similarly divided on whether AI will have mostly positive or mixed effects on society. Only a small percentage believe the technology will do more harm than good. Most Americans are hopeful that AI will create jobs, improve health care, help stop harmful content online, prevent terrorism, catch criminals, and make day-to-day life easier. Yet large majorities are worried that AI will eliminate jobs, invade people’s privacy, help spread harmful content online, and enable cyber-attacks. More than half of Americans also say they worry that AI may eventually pose a threat to the existence of the human race. The public trusts university researchers, technology companies, and the U.S. military to develop and use AI. By contrast, only one in three Americans trusts the government in Washington to do so. Experiences with media and technology are linked to positive views of AI, and messages about the technology shape opinions toward it.Item U.S. Public Opinion about Artificial Intelligence: Declining Support for Development and Divided Views on Facial Recognition(Department of Communication, University of Delaware, Newark, DE, 2020-12) Brewer, Paul; Wilson, David; Bingaman, James; Paintsil, Ashley; Obozintsev, LucyA national survey supervised by researchers at the University of Delaware finds that the American public holds favorable views on artificial intelligence but also worries about its implications. This study, conducted in fall 2020, re-interviewed 1,205 respondents who took part in a March 2020 survey supervised by the same research team. Public opinion about AI was largely stable across the two waves of the study. The new survey found that most Americans favor regulating the technology, a majority support developing it, a plurality favor public funding for it, and few support banning it. However, support for developing AI has declined by 7 percentage points. The new survey also found ongoing support for AI uses involving military drones and diagnosing diseases. Opinions are more divided on self-driving vehicles, and support for facial identification applications has eroded. Americans remain split on whether AI will have mostly positive or mixed effects on society, though only a small percentage believe the technology will do more harm than good. Most Americans continue to say they are hopeful that AI will create jobs, improve health care, help stop harmful content online, prevent terrorism, catch criminals, and make day-to-day life easier. Yet some of these hopes have faded. Moreover, large majorities are still worried that AI will eliminate jobs, invade people’s privacy, help spread harmful content online, and enable cyber-attacks. More than half of Americans say they worry that AI may eventually pose a threat to the existence of the human race. The survey results show that the public trusts university researchers, the U.S. military, and technology companies to develop and use AI. Meanwhile, fewer than one in three Americans trusts the government in Washington to do so. Most Americans support law enforcement agencies using facial recognition technology to identify suspected criminals. However, public opinion is divided on whether law enforcement agencies should use facial recognition technology to monitor public protests.