Replication Data for: Attitudes Toward Artificial Intelligence (AI) and Globalization: Common Microfoundations and Political Implications (doi:10.7910/DVN/XHRC8Y)

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Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Replication Data for: Attitudes Toward Artificial Intelligence (AI) and Globalization: Common Microfoundations and Political Implications

doi:10.7910/DVN/XHRC8Y

Harvard Dataverse

2025-02-12

1

Magistro, Beatrice; Borwein, Sophie; Alvarez, R. Michael; Bonikowski, Bart; Loewen, Peter, 2025, "Replication Data for: Attitudes Toward Artificial Intelligence (AI) and Globalization: Common Microfoundations and Political Implications", https://doi.org/10.7910/DVN/XHRC8Y, Harvard Dataverse, V1, UNF:6:uR6zWkX+5Di8/n3EG1mIXw== [fileUNF]

Replication Data for: Attitudes Toward Artificial Intelligence (AI) and Globalization: Common Microfoundations and Political Implications

doi:10.7910/DVN/XHRC8Y

Magistro, Beatrice (California Institute of Technology)

Borwein, Sophie (University of British Columbia)

Alvarez, R. Michael (California Institute of Technology)

Bonikowski, Bart (New York University)

Loewen, Peter (Cornell University)

Magistro, Beatrice

Harvard Dataverse

Magistro, Beatrice

Magistro, Beatrice

2025-01-29

https://doi.org/10.7910/DVN/XHRC8Y

Social Sciences, artificial intelligence, globalization, trade-offs, public opinion, conjoint experiment

Advances in artificial intelligence (AI) are reshaping labor markets and sparking political debates. Like economic globalization, AI developments promise benefits, including job creation and lower prices, but also costs such as job displacement, raising crucial questions about public perceptions. Will AI, like globalization, challenge existing paradigms and trigger a backlash? Leveraging a conjoint experiment with 6,000 respondents from the US and Canada, we examine public opinion toward offshoring and generative AI, focusing on the multidimensional trade-offs between job and price changes. Across all scenarios, respondents are equally or more sensitive to price changes than employment shifts. AI is favored over offshoring, especially among Democrats, highlighting an emerging partisan divide in the US. Republicans and Canadians show more varied support, indicating AI is not immune to opposition. By focusing on the microfoundations of opinion formation, we identify scenarios that may trigger or temper protectionist stances.

This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. <br></br> The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the <a href="https://www.cos.io/">Center for Open Science</a>. <br></br> <img src="https://socialsciences.cornell.edu/sites/default/files/2024-04/materials_large_color.png" alt="Open Materials Badge " width="60" height="60"> <br></br> Open Materials Badge

Original data collection. See data sources in the Readme.txt file. Magistro, Beatrice, Sophie Borwein, R. Michael Alvarez, Bart Bonikowski, and Peter Loewen. 2025. “Replication Data for: Attitudes Toward Artificial Intelligence (AI) and Globalization: Common Microfoundations and Political Implications”, https://doi.org/10.7910/DVN/XHRC8Y, Harvard Dataverse, V1, UNF:6:uR6zWkX+5Di8/n3EG1mIXw== [fileUNF]

The <i>American Journal of Political Science</i> and the Cornell Center for Social Sciences are not responsible for the accuracy or quality of data uploaded within the <i>AJPS</i> Dataverse, for the use of those data, or for interpretations or conclusions based on their use.

• Number of cases: 6056

• No. of variables per record: 47

• Type of File: text/tab-separated-values

UNF:6:uR6zWkX+5Di8/n3EG1mIXw==

• country - country
• ID - ID
• countr - countr
• age_group - age_group
• gender_bin - gender_bin
• education - education
• manipulation_check2 - manipulation_check2
• party - party
• party2 - party2
• education_bin - education_bin
• policy_ai_offshoregr_1 - policy_ai_offshoregr_1
• policy_ai_offshoregr_2 - policy_ai_offshoregr_2
• policy_ai_offshoregr_3 - policy_ai_offshoregr_3
• policy_ai_offshoregr_4 - policy_ai_offshoregr_4
• policy_ai_offshoregr_5 - policy_ai_offshoregr_5
• policy_ai_offshoregr_6 - policy_ai_offshoregr_6
• tables_policygr_1 - tables_policygr_1
• tables_policygr_2 - tables_policygr_2
• tables_policygr_3 - tables_policygr_3
• tables_policygr_4 - tables_policygr_4
• tables_policygr_5 - tables_policygr_5
• tables_policygr_6 - tables_policygr_6
• treat_offshoring - treat_offshoring
• qtable_1 - qtable_1
• qtable_2 - qtable_2
• qtable_3 - qtable_3
• qtable_4 - qtable_4
• price_after_1 - price_after_1
• price_after_2 - price_after_2
• price_after_3 - price_after_3
• price_after_4 - price_after_4
• cs_after_1 - cs_after_1
• cs_after_2 - cs_after_2
• cs_after_3 - cs_after_3
• cs_after_4 - cs_after_4
• factory_after_1 - factory_after_1
• factory_after_2 - factory_after_2
• factory_after_3 - factory_after_3
• factory_after_4 - factory_after_4
• ds_after_1 - ds_after_1
• ds_after_2 - ds_after_2
• ds_after_3 - ds_after_3
• ds_after_4 - ds_after_4
• income - income
• GeoPC_Region1 - GeoPC_Region1
• region - region
• gender - gender

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Summary Statistics: Min. 1.0; Valid 6056.0; Mean 1.5004953764861297; Max. 2.0; StDev 0.5000410410688232;

Variable Format: numeric

Notes: UNF:6:ZMWSx4nu7THIeD4Zg25KBA==

f10850396 Location:

Summary Statistics: Mean 3028.5; StDev 1748.3609467155231; Min. 1.0; Max. 6056.0; Valid 6056.0;

Variable Format: numeric

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f10850396 Location:

Variable Format: character

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Variable Format: character

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Variable Format: character

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f10850396 Location:

Variable Format: character

Notes: UNF:6:H8XcTDjW/RXxNuuzC4GWuw==

f10850396 Location:

Summary Statistics: Min. 1.0; Max. 5.0; StDev 1.1435184357464194; Valid 5783.0; Mean 3.6076430918208544

Variable Format: numeric

Notes: UNF:6:4cG3FcU850SOVdCXy1cwqw==

f10850396 Location:

Summary Statistics: Min. 1.0; Mean 3.505201109570044; Max. 5.0; StDev 1.2967690015456363; Valid 5768.0;

Variable Format: numeric

Notes: UNF:6:iQoT/ZEMbpU7YkBhAfNIbA==

f10850396 Location:

Summary Statistics: StDev 0.9344605956163798; Min. 1.0; Mean 4.029280055115398; Valid 5806.0; Max. 5.0

Variable Format: numeric

Notes: UNF:6:0G8LHtxRd3ZN1cOlMKrgNg==

f10850396 Location:

Summary Statistics: Min. 1.0; Valid 5778.0; Max. 5.0; Mean 3.3362755278643106; StDev 1.287186465088829

Variable Format: numeric

Notes: UNF:6:nbSNJqF/JJ7p79sKoqMMlg==

f10850396 Location:

Summary Statistics: Mean 3.187127101789911; Valid 5531.0; Max. 5.0; StDev 1.063560794751029; Min. 1.0

Variable Format: numeric

Notes: UNF:6:H3E2WL4CZvry3bA4rm93ZQ==

f10850396 Location:

Summary Statistics: Mean 3.862804336236006; Valid 5627.0; Min. 1.0; StDev 0.9917975855428762; Max. 5.0

Variable Format: numeric

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f10850396 Location:

Summary Statistics: Max. 5.0; Min. 1.0; StDev 1.1396689814849257; Valid 5668.0; Mean 3.5924488355681015

Variable Format: numeric

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f10850396 Location:

Summary Statistics: Mean 3.5095473833097577; StDev 1.28869699862034; Valid 5656.0; Min. 1.0; Max. 5.0

Variable Format: numeric

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f10850396 Location:

Summary Statistics: Valid 5721.0; Min. 1.0; Mean 3.9917846530326857; StDev 0.9223917942766995; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:SnYkYxbGHk/N1mOwiDiMhg==

f10850396 Location:

Summary Statistics: Mean 3.302066772655007; Valid 5661.0; Max. 5.0; StDev 1.280974246806872; Min. 1.0

Variable Format: numeric

Notes: UNF:6:f6zqFeO6n5K4HP9/fEHYpA==

f10850396 Location:

Summary Statistics: Mean 3.2208566108007433; StDev 1.0693989395606318; Max. 5.0; Valid 5370.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:rJ2fmAxO0jCJaJkNFrmxSw==

f10850396 Location:

Summary Statistics: Mean 3.920436259610227; StDev 0.9676078987353001; Max. 5.0; Valid 5593.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:flbDZEl/SvYST+TtkMjsHQ==

f10850396 Location:

Variable Format: character

Notes: UNF:6:IuzurN5ePR+SQ8XHNxduwQ==

f10850396 Location:

Summary Statistics: Max. 5.0; Mean 3.120359739762724; StDev 1.15309392204216; Valid 5226.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:cJbD7s9N+mzjKAFS5VWRPg==

f10850396 Location:

Summary Statistics: Max. 5.0; Min. 1.0; Mean 3.0984819734345352; StDev 1.170742194171287; Valid 5270.0;

Variable Format: numeric

Notes: UNF:6:NnaQfZ3tzFaufMND3r7N3A==

f10850396 Location:

Summary Statistics: Max. 5.0; Mean 3.0722708254089013; Valid 5258.0; StDev 1.1805391325145598; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:orVLIptRjwE8LCJzZg56+Q==

f10850396 Location:

Summary Statistics: StDev 1.181895267200761; Valid 5251.0; Min. 1.0; Mean 3.1045515139973334; Max. 5.0

Variable Format: numeric

Notes: UNF:6:IeGnBrBiRiWtiPYmcZI5mA==

f10850396 Location:

Variable Format: character

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f10850396 Location:

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f10850396 Location:

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f10850396 Location:

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f10850396 Location:

Variable Format: character

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f10850396 Location:

Variable Format: character

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f10850396 Location:

Variable Format: character

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f10850396 Location:

Variable Format: character

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f10850396 Location:

Variable Format: character

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f10850396 Location:

Variable Format: character

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f10850396 Location:

Variable Format: character

Notes: UNF:6:WZi53McZI6XYJSea+b36/A==

f10850396 Location:

Summary Statistics: Valid 3031.0; Min. 1.0; Mean 7.410755526228966; Max. 12.0; StDev 3.750450330269276

Variable Format: numeric

Notes: UNF:6:yCtTDvI+hTMy/d83HmohSw==

f10850396 Location:

Summary Statistics: Mean 2.687027914614122; StDev 1.0089510045790222; Valid 3045.0; Min. 1.0; Max. 4.0;

Variable Format: numeric

Notes: UNF:6:m2r5VrkBDb1Fnqu8s4VT8A==

f10850396 Location:

Variable Format: character

Notes: UNF:6:JA276RgjraWqlEo6C8Xmow==

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appendix.R

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Codebook_AJPS.pdf

application/pdf

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main.R

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readme.txt

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