1、Morning Consult National Tracking Poll #170517 May 30-31, 2017 Crosstabulation Results Methodology: This poll was conducted from May 30-31, 2017, among a national sample of 2201 Adults. The interviews were con- ducted online and the data were weighted to approximate a target sample of Adults based o

2、n age, race/ethnicity, gender, educational attainment, and region. Results from the full survey have a margin of error of plus or minus 2 percentage points. 1 Table Index 1Table P1: Now, generally speaking, would you say that things in the country are going in the right direction, or have they prett

3、y seriously gotten off on the wrong track?. . . . . . . . . . . . . . . . . .5 2Table Q172: Do you approve or disapprove of the job Donald Trump is doing as President?. . . . . .8 3TableP3: Now,thinkingaboutyourvote,whatwouldyousayisthetopsetofissuesonyourmindwhen you cast your vote for federal offi

4、 ces such as U.S. Senate or Congress?. . . . . . . . . . . . . . . . . .11 4Table BRD1_1: How credible are each of the following? CNN . . . . . . . . . . . . . . . . . . . . . .14 5Table BRD1_2: How credible are each of the following? Fox News . . . . . . . . . . . . . . . . . . . .17 6Table BRD1_3:

5、 How credible are each of the following? MSNBC . . . . . . . . . . . . . . . . . . . .20 7Table BRD1_4: How credible are each of the following? ABC . . . . . . . . . . . . . . . . . . . . . .23 8Table BRD1_5: How credible are each of the following? CBS. . . . . . . . . . . . . . . . . . . . . .26 9T

6、able BRD1_6: How credible are each of the following? NBC . . . . . . . . . . . . . . . . . . . . . .29 10Table BRD1_7: How credible are each of the following? The New York Times . . . . . . . . . . . . . .32 11Table BRD1_8: How credible are each of the following? The Wall Street Journal. . . . . . .

7、 . . . . .35 12Table BRD1_9: How credible are each of the following? National Public Radio (NPR) . . . . . . . . .38 13 Table BRD1_10: How credible are each of the following? Huffi ngton Post . . . . . . . . . . . . . . . .41 14Table BRD1_11: How credible are each of the following? Breitbart . . . .

8、 . . . . . . . . . . . . . . .44 15Table BRD2_1: How much do you trust each of the following? CNN . . . . . . . . . . . . . . . . . .47 16Table BRD2_2: How much do you trust each of the following? Fox News . . . . . . . . . . . . . . . .50 17Table BRD2_3: How much do you trust each of the following?

9、 MSNBC . . . . . . . . . . . . . . . . .53 18Table BRD2_4: How much do you trust each of the following? ABC. . . . . . . . . . . . . . . . . .56 19Table BRD2_5: How much do you trust each of the following? CBS . . . . . . . . . . . . . . . . . . .59 20Table BRD2_6: How much do you trust each of the

10、following? NBC. . . . . . . . . . . . . . . . . .62 21Table BRD2_7: How much do you trust each of the following? The New York Times . . . . . . . . . .65 22Table BRD2_8: How much do you trust each of the following? The Wall Street Journal . . . . . . . . .68 23Table BRD2_9: How much do you trust eac

11、h of the following? National Public Radio (NPR). . . . .71 24 Table BRD2_10: How much do you trust each of the following? Huffi ngton Post . . . . . . . . . . . .74 25Table BRD2_11: How much do you trust each of the following? Breitbart. . . . . . . . . . . . . . .77 26Table BRD3_1: How often do you

12、 use each of the following? Facebook . . . . . . . . . . . . . . . . .80 27Table BRD3_2: How often do you use each of the following? Twitter . . . . . . . . . . . . . . . . . .84 2 National Tracking Poll #170517, May, 2017 28Table BRD3_3: How often do you use each of the following? Snapchat . . . .

13、. . . . . . . . . . . . .88 29Table BRD3_4: How often do you use each of the following? Instagram . . . . . . . . . . . . . . . . .92 30TableBRD4_1: How often do you watch televisions shows or video content from each of the following? NBC News . . . . . . . . . . . . . . . . . . . . . . . . . . . .

14、. . . . . . . . . . . . . . . . . . . . .96 31TableBRD4_2: How often do you watch televisions shows or video content from each of the following? ABC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 32TableBRD4_3: How often do you watch telev

15、isions shows or video content from each of the following? CBS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 33TableBRD4_4: How often do you watch televisions shows or video content from each of the following? The BBC . . . . . . . . . . .

16、. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 34TableBRD4_5: How often do you watch televisions shows or video content from each of the following? ESPN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112 35Ta

17、bleBRD4_6: How often do you watch televisions shows or video content from each of the following? Vice News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 36TableBRD4_7: How often do you watch televisions shows or video content from each of the fo

18、llowing? Discovery Channel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 37TableBRD4_8: How often do you watch televisions shows or video content from each of the following? NBC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

19、. . . . . . . . . . . . . . . 124 38TableBRD4a: Asyoumayknow,Snapchatandseveralpartnersareplanningoncreatingshort,custom showsfor the social media platform. How likely are you to watch this type of content? . . . . . . . . . . 128 39Table BRD5_1: As you may know, Snapchat and several partners are pl

20、anning on creating short, cus- tomshowsforthesocialmediaplatform. HowlikelyareyoutowatchashortvideoorshowonSnapchat from each of the following? NBC News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 40Table BRD5_2: As you may know, Snapchat and several partners are planning

21、on creating short, cus- tomshowsforthesocialmediaplatform. HowlikelyareyoutowatchashortvideoorshowonSnapchat from each of the following? ABC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135 41Table BRD5_3: As you may know, Snapchat and several partners are planning on cre

22、ating short, cus- tomshowsforthesocialmediaplatform. HowlikelyareyoutowatchashortvideoorshowonSnapchat from each of the following? CBS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139 42Table BRD5_4: As you may know, Snapchat and several partners are planning on creati

23、ng short, cus- tomshowsforthesocialmediaplatform. HowlikelyareyoutowatchashortvideoorshowonSnapchat from each of the following? The BBC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143 43Table BRD5_5: As you may know, Snapchat and several partners are planning on creating sho

24、rt, cus- tomshowsforthesocialmediaplatform. HowlikelyareyoutowatchashortvideoorshowonSnapchat from each of the following? ESPN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 44Table BRD5_6: As you may know, Snapchat and several partners are planning on creating short,

25、cus- tomshowsforthesocialmediaplatform. HowlikelyareyoutowatchashortvideoorshowonSnapchat from each of the following? Vice News . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151 3 Morning Consult 45Table BRD5_7: As you may know, Snapchat and several partners are planning on c

26、reating short, cus- tomshowsforthesocialmediaplatform. HowlikelyareyoutowatchashortvideoorshowonSnapchat from each of the following? Discovery Channel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155 46Table BRD5_8: As you may know, Snapchat and several partners are planning on creati

27、ng short, cus- tomshowsforthesocialmediaplatform. HowlikelyareyoutowatchashortvideoorshowonSnapchat from each of the following? NBC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159 47Table BRD6: How much have you seen, read or heard recently about Target settling a lawsui

28、t over the exposure of credit and debit card data of customers who shopped at Target stores? . . . . . . . . . . . . 163 48Table BRD7: As you may know, Target recently settled a lawsuit for $18.5 million after the exposure of credit and debit card data of customers who shopped at Target stores, impa

29、cting 30 million cus- tomers. Dataforanadditional70millioncustomerswasalsoexposed. Aspartofthesettlement, Target will strengthen its digital security and will have independent assessments of how it handles customer data.Knowingthis,doyouthinkTargethaspaidtoomuch,paidtoolittle,orpaidabouttherightamou

30、nt to settle this lawsuit? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 49Table BRD8: Do you think the amount of Targets settlement was appropriate or inappropriate? . . . . 170 50TableBRD9: DoyouthinkTargetisdoingtoomuch,toolittleorabouttherightamountw

31、henitcomes to keeping their customers personal data secure? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173 51Table BRD10: Does knowing this make you more or less likely to shop at Target in the next 6 months, or does it make no diff erence either way? . . . . . . . . . . . . . . . . .

32、 . . . . . . . . . . . . . . . . 176 52Summary Statistics of Survey Respondent Demographics . . . . . . . . . . . . . . . . . . . . . . 179 4 National Tracking Poll #170517, May, 2017 5 Table P1 Crosstabulation Results by Respondent Demographics Table P1: Now, generally speaking, would you say that

33、things in the country are going in the right direction, or have they pretty seriously gotten off on the wrong track? DemographicRight DirectionWrong TrackTotal N Adults41%(912)59%(1289)2201 Gender: Male45%(477)55%(583)1060 Gender: Female38%(435)62%(707)1141 Age: 18-2941%(194)59%(282)476 Age: 30-4444

34、%(248)56%(311)559 Age: 45-5439%(148)61%(229)377 Age: 55-6438%(148)62%(242)391 Age: 65+44%(173)56%(225)398 PID: Dem (no lean)22%(176)78%(609)786 PID: Ind (no lean)35%(253)65%(467)720 PID: Rep (no lean)69%(482)31%(212)695 PID/Gender: Dem Men27%(99)73%(268)367 PID/Gender: Dem Women18%(77)82%(342)419 PI

35、D/Gender: Ind Men36%(118)64%(212)330 PID/Gender: Ind Women35%(135)65%(256)390 PID/Gender: Rep Men72%(260)28%(103)363 PID/Gender: Rep Women67%(223)33%(109)332 Tea Party: Supporter67%(384)33%(189)572 Tea Party: Not Supporter32%(522)68%(1097)1619 Ideo: Liberal (1-3)30%(210)70%(485)695 Ideo: Moderate (4

36、)33%(184)67%(367)551 Ideo: Conservative (5-7)62%(446)38%(272)718 Educ: College42%(651)58%(916)1567 Educ: Bachelors degree41%(171)59%(244)416 Educ: Post-grad41%(90)59%(129)219 Income: Under 50k40%(531)60%(798)1329 Income: 50k-100k43%(284)57%(370)654 Income: 100k+45%(97)55%(121)218 Continued on next p

37、age 6 Morning Consult Table P1 Table P1: Now, generally speaking, would you say that things in the country are going in the right direction, or have they pretty seriously gotten off on the wrong track? DemographicRight DirectionWrong TrackTotal N Adults41%(912)59%(1289)2201 Ethnicity: White45%(779)5

38、5%(971)1750 Ethnicity: Hispanic39%(129)61%(200)329 Ethnicity: Afr. Am.29%(79)71%(190)269 Ethnicity: Other29%(53)71%(129)182 Relig: Protestant51%(242)49%(233)475 Relig: Roman Catholic48%(247)52%(266)513 Relig: Ath./Agn./None32%(197)68%(416)613 Relig: Something Else33%(116)67%(234)351 Relig: Jewish23%

39、(14)77%(46)60 Relig: Evangelical53%(320)47%(280)600 Relig: Non-Evang. Catholics44%(278)56%(357)636 Relig: All Christian48%(599)52%(637)1235 Relig: All Non-Christian33%(313)67%(650)964 Community: Urban44%(280)56%(359)638 Community: Suburban37%(369)63%(630)999 Community: Rural47%(263)53%(301)564 Emplo

40、y: Private Sector43%(289)57%(379)668 Employ: Government38%(47)62%(77)124 Employ: Self-Employed46%(92)54%(106)198 Employ: Homemaker48%(107)52%(116)223 Employ: Student40%(42)60%(62)104 Employ: Retired43%(207)57%(273)479 Employ: Unemployed32%(68)68%(145)214 Employ: Other32%(61)68%(131)192 Job Type: Whi

41、te-collar42%(300)58%(423)723 Job Type: Blue-collar45%(438)55%(541)980 Job Type: Dont Know35%(173)65%(325)498 Military HH: Yes50%(208)50%(211)419 Military HH: No40%(704)60%(1078)1782 RD/WT: Right Direction100%(912)(0)912 RD/WT: Wrong Track(0)100%(1289)1289 Continued on next page National Tracking Pol

42、l #170517, May, 2017 7 Table P1 Table P1: Now, generally speaking, would you say that things in the country are going in the right direction, or have they pretty seriously gotten off on the wrong track? DemographicRight DirectionWrong TrackTotal N Adults41%(912)59%(1289)2201 Strongly Approve85%(399)

43、15%(71)470 Somewhat Approve70%(347)30%(148)496 Somewhat Disapprove22%(62)78%(221)283 Strongly Disapprove7%(56)93%(758)815 Dont Know / No Opinion34%(47)66%(90)137 #1 Issue: Economy45%(259)55%(313)572 #1 Issue: Security60%(269)40%(176)445 #1 Issue: Health Care27%(108)73%(296)403 #1 Issue: Medicare / S

44、ocial Security32%(112)68%(238)350 #1 Issue: Womens Issues42%(50)58%(70)121 #1 Issue: Education46%(69)54%(83)152 #1 Issue: Energy22%(20)78%(72)92 #1 Issue: Other38%(24)62%(41)65 2016 Vote: Democrat Hillary Clinton16%(122)84%(632)754 2016 Vote: Republican Donald Trump75%(586)25%(200)785 2016 Vote: Som

45、eone else21%(32)79%(123)154 2012 Vote: Barack Obama24%(214)76%(678)892 2012 Vote: Mitt Romney68%(387)32%(178)565 2012 Vote: Other47%(36)53%(41)77 2012 Vote: Didnt Vote41%(275)59%(391)666 4-Region: Northeast38%(153)62%(249)402 4-Region: Midwest40%(191)60%(282)474 4-Region: South47%(383)53%(432)815 4-

46、Region: West36%(184)64%(327)511 Note: Row proportions may total to larger than one-hundred percent due to rounding. For more information visit MorningConsultI. 8 Morning Consult Table Q172 Table Q172: Do you approve or disapprove of the job Donald Trump is doing as President? Demographic Strongly Ap

47、prove Somewhat Approve Somewhat Disapprove Strongly Disapprove Dont Know / No OpinionTotal N Adults21%(470)23%(496)13%(283)37%(815)6%(137)2201 Gender: Male24%(250)23%(239)12%(127)37%(388)5%(56)1060 Gender: Female19%(220)23%(257)14%(156)37%(427)7%(82)1141 Age: 18-2912%(58)22%(104)13%(64)43%(205)9%(45

48、)476 Age: 30-4422%(122)26%(143)13%(72)33%(186)6%(35)559 Age: 45-5424%(90)21%(81)14%(54)34%(130)6%(22)377 Age: 55-6423%(88)20%(79)16%(62)37%(143)5%(19)391 Age: 65+28%(111)22%(89)8%(32)38%(151)4%(15)398 PID: Dem (no lean)8%(66)11%(84)14%(113)63%(496)4%(28)786 PID: Ind (no lean)13%(94)23%(166)15%(108)3

49、6%(262)13%(91)720 PID: Rep (no lean)45%(311)35%(245)9%(63)8%(57)3%(19)695 PID/Gender: Dem Men9%(32)14%(50)15%(55)59%(215)4%(14)367 PID/Gender: Dem Women8%(33)8%(34)14%(57)67%(280)3%(14)419 PID/Gender: Ind Men15%(48)23%(76)12%(38)40%(131)11%(36)330 PID/Gender: Ind Women12%(45)23%(90)18%(70)33%(130)14%(54)390 PID/Gender: Rep Men47%(170)31%(113)9%(34)11%(41)2%(6)363 PID/Gender: Rep Women42%(141)40%(133)9%(29)5%(16)4%(13)332 Tea Party: Supporter41%(236)30%(172)9%(51)16%(92)4%(21)572 Tea Party: Not Supporter14%(234)20%(321)14%(228)44%(720)7%(115)1619 Ideo: Liberal (1-3)13%(87)13%(91)10%(72