Research & Politics最新文献_第2页

Political trust and public support for propaganda in China 中国的政治信任与公众对宣传的支持

Research & Politics Pub Date : 2024-01-01 DOI: 10.1177/20531680231225308

Haifeng Huang, Chanita Intawan, Stephen P. Nicholson

引用次数: 0

The war on flags: The opposition to state-sponsored LGBTQ+ symbols 旗帜之战反对国家赞助的 LGBTQ+ 标志

Research & Politics Pub Date : 2024-01-01 DOI: 10.1177/20531680241240824

Alberto López Ortega

引用次数: 0

Belt and road initiative membership and voting patterns in the United Nations General Assembly 一带一路 "倡议的成员国和在联合国大会的投票模式

Research & Politics Pub Date : 2024-01-01 DOI: 10.1177/20531680241233784

C. Steinert, David Weyrauch

{"title":"Belt and road initiative membership and voting patterns in the United Nations General Assembly","authors":"C. Steinert, David Weyrauch","doi":"10.1177/20531680241233784","DOIUrl":"https://doi.org/10.1177/20531680241233784","url":null,"abstract":"The Belt and Road Initiative (BRI) is not only an unprecedented cross-continental infrastructure investment program, it is also a key pillar of China’s foreign policy. The Chinese government seeks to tie BRI member states closer to its political system and to enhance its soft power across the globe. Whether this has been successful has been analyzed for individual countries but, as of yet, there is a paucity of cross-national evidence on the geopolitical impact of the BRI. We collected a novel global dataset on bilateral cooperation agreements with China in the context of the BRI for all states across the globe. We rely on voting similarities in the United Nations General Assembly (UNGA) to analyze whether the decision to join the BRI is linked to geopolitical alignment with China. We apply generalized synthetic control models and community detection algorithms to estimate the impact of BRI membership on voting similarity to China. Our findings show that the signature of BRI membership agreements had no discernible short-term impact on voting similarity to China in most regions of the world. The exception is Europe, where BRI membership induced a backlash against China. Our findings suggest that European states counter-balance to the US and signal their independence from China after signing a BRI agreement.","PeriodicalId":125693,"journal":{"name":"Research & Politics","volume":"4 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140524821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using MI-LASSO to study populist radical right voting in times of pandemic 利用 MI-LASSO 研究大流行时期民粹主义激进右翼的投票情况

Research & Politics Pub Date : 2024-01-01 DOI: 10.1177/20531680241228358

Ka‐Ming Chan, Laura B Stephenson

{"title":"Using MI-LASSO to study populist radical right voting in times of pandemic","authors":"Ka‐Ming Chan, Laura B Stephenson","doi":"10.1177/20531680241228358","DOIUrl":"https://doi.org/10.1177/20531680241228358","url":null,"abstract":"As immigration issues waned in salience during the COVID-19 pandemic, populist radical right (PRR) parties repositioned themselves by politicizing various pandemic policies. In light of this changing political landscape, scholars have analyzed what factors are associated with PRR voting. Yet, most studies focus on small sets of covariates that could easily ignore other key determinants. To address this limitation, we use MI-LASSO logistic regression, which is a more inductive data-driven approach that can incorporate a huge number of covariates. Our research analyzes the key determinants of voting for the People’s Party of Canada—a PRR party that rose rapidly during the pandemic. Using the 2021 Canadian Election Study dataset ( N = 14,841), we confirm that PRR voters in the pandemic were both protest and policy-oriented voters. They were protest voters since anti-establishment attitudes consistently correlate with their vote choice. On the other hand, PRR voters’ policy concern was about pandemic policies rather than immigration, as nativist attitudes never emerge as key determinants. Additionally, we uncover that the ideological placement of the mainstream right party and the defense of hate speech are strong correlates, while conventional variables like sociodemographics are not. These findings enrich our understanding of PRR voting during the pandemic.","PeriodicalId":125693,"journal":{"name":"Research & Politics","volume":"312 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139635880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

It’s the robots, stupid? Automation risk, labour market resources and incumbent support in Europe 都是机器人惹的祸？欧洲的自动化风险、劳动力市场资源和在职人员支持

Research & Politics Pub Date : 2024-01-01 DOI: 10.1177/20531680241228914

Toon Van Overbeke

引用次数: 0

Ambivalence and perceptions of China: Two list experiments 矛盾心理与对中国的看法：两个列表实验

Research & Politics Pub Date : 2024-01-01 DOI: 10.1177/20531680241234833

Chung-li Wu, Alex Min-Wei Lin

引用次数: 0

Large language models as a substitute for human experts in annotating political text 在政治文本注释中替代人类专家的大型语言模型

Research & Politics Pub Date : 2024-01-01 DOI: 10.1177/20531680241236239

Michael Heseltine, Bernhard Clemm von Hohenberg

{"title":"Large language models as a substitute for human experts in annotating political text","authors":"Michael Heseltine, Bernhard Clemm von Hohenberg","doi":"10.1177/20531680241236239","DOIUrl":"https://doi.org/10.1177/20531680241236239","url":null,"abstract":"Large-scale text analysis has grown rapidly as a method in political science and beyond. To date, text-as-data methods rely on large volumes of human-annotated training examples, which place a premium on researcher resources. However, advances in large language models (LLMs) may make automated annotation increasingly viable. This paper tests the performance of GPT-4 across a range of scenarios relevant for analysis of political text. We compare GPT-4 coding with human expert coding of tweets and news articles across four variables (whether text is political, its negativity, its sentiment, and its ideology) and across four countries (the United States, Chile, Germany, and Italy). GPT-4 coding is highly accurate, especially for shorter texts such as tweets, correctly classifying texts up to 95% of the time. Performance drops for longer news articles, and very slightly for non-English text. We introduce a ‘hybrid’ coding approach, in which disagreements of multiple GPT-4 runs are adjudicated by a human expert, which boosts accuracy. Finally, we explore downstream effects, finding that transformer models trained on hand-coded or GPT-4-coded data yield almost identical outcomes. Our results suggest that LLM-assisted coding is a viable and cost-efficient approach, although consideration should be given to task complexity.","PeriodicalId":125693,"journal":{"name":"Research & Politics","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140516062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Do AIs know what the most important issue is? Using language models to code open-text social survey responses at scale 人工智能知道什么是最重要的问题吗？使用语言模型对开放文本社会调查回复进行大规模编码

Research & Politics Pub Date : 2024-01-01 DOI: 10.1177/20531680241231468

Jonathan Mellon, J. Bailey, Ralph Scott, James Breckwoldt, Marta Miori, Phillip Schmedeman

{"title":"Do AIs know what the most important issue is? Using language models to code open-text social survey responses at scale","authors":"Jonathan Mellon, J. Bailey, Ralph Scott, James Breckwoldt, Marta Miori, Phillip Schmedeman","doi":"10.1177/20531680241231468","DOIUrl":"https://doi.org/10.1177/20531680241231468","url":null,"abstract":"Can artificial intelligence accurately label open-text survey responses? We compare the accuracy of six large language models (LLMs) using a few-shot approach, three supervised learning algorithms (SVM, DistilRoBERTa, and a neural network trained on BERT embeddings), and a second human coder on the task of categorizing “most important issue” responses from the British Election Study Internet Panel into 50 categories. For the scenario where a researcher lacks existing training data, the accuracy of the highest-performing LLM (Claude-1.3: 93.9%) neared human performance (94.7%) and exceeded the highest-performing supervised approach trained on 1000 randomly sampled cases (neural network: 93.5%). In a scenario where previous data has been labeled but a researcher wants to label novel text, the best LLM’s (Claude-1.3: 80.9%) few-shot performance is only slightly behind the human (88.6%) and exceeds the best supervised model trained on 576,000 cases (DistilRoBERTa: 77.8%). PaLM-2, Llama-2, and the SVM all performed substantially worse than the best LLMs and supervised models across all metrics and scenarios. Our results suggest that LLMs may allow for greater use of open-ended survey questions in the future.","PeriodicalId":125693,"journal":{"name":"Research & Politics","volume":"214 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140521713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Is that ethical? An exploration of political scientists’ views on research ethics 这符合伦理道德吗？探讨政治学家对研究伦理的看法

Research & Politics Pub Date : 2023-10-01 DOI: 10.1177/20531680231209553

Mia Costa, Charles Crabtree, John B. Holbein, M. Landgrave

引用次数: 0

Arab identity and attitudes toward migration in Kuwait and Qatar 科威特和卡塔尔的阿拉伯特征和对移民的态度

Research & Politics Pub Date : 2023-10-01 DOI: 10.1177/20531680231223289

Lisa Blaydes, Justin Gengler

引用次数: 0

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