Search engines, by ranking a few links ahead of million others based on opaque rules, open themselves up to criticism of bias. Previous research has focused on measuring political bias of search engine algorithms to detect possible search engine manipulation effects on voters or unbalanced ideological representation in search results. Insofar that these concerns are related to the principle of fairness, this notion of fairness can be seen as explicitly oriented toward election candidates or political processes and only implicitly oriented toward the public at large. Thus, we ask the following research question: how should an auditing framework that is explicitly centered on the principle of ensuring and maximizing fairness for the public (i.e., voters) operate? To answer this question, we qualitatively explore four datasets about elections and politics in the United States: 1) a survey of eligible U.S. voters about their information needs ahead of the 2018 U.S. elections, 2) a dataset of biased political phrases used in a large-scale Google audit ahead of the 2018 U.S. election, 3) Google’s “related searches” phrases for two groups of political candidates in the 2018 U.S. election (one group is composed entirely of women), and 4) autocomplete suggestions and result pages for a set of searches on the day of a statewide election in the U.S. state of Virginia in 2019. We find that voters have much broader information needs than the search engine audit literature has accounted for in the past, and that relying on political science theories of voter modeling provides a good starting point for informing the design of voter-centered audits. 
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                            Towards Inclusive Political Representation
                        
                    
    
            My research asks the following questions: What are the ramifications of male dominance in positions of power? Do they adequately address the concerns of women constituents? How do electoral quotas influence the trajectory of political careers for underrepresented groups? Which subgroups derive the greatest benefits from quota implementation? How do voters respond to the introduction of quotas, and what factors shape their reactions? I theorize and offer causal evidence on the consequences of inequitable political representation and the role of quotas in remedying disparities in political inequality. Through a combination of observational and experimental data spanning various levels ranging from legislatures to voters, my research examines quotas (or lack thereof) from multiple perspectives using a range of methodological approaches. My research demonstrates that while there is a risk of neglecting policy issues faced by underrepresented groups in legislative spaces, indicating the need for institutionalizing quotas, quotas can have asymmetric effects on citizens’ political behavior. Quotas can bridge gaps in political participation by demobilizing dominant groups while simultaneously mobilizing underrepresented groups. However, their repercussions extend beyond the realm of politics and have implications for intergroup relations. Thus, my research highlights the nuances of political representation and examines the effects of quotas on governance structures and political behavior. My dissertation comprises three distinct yet interconnected empirical chapters, all situated within the context of India. Overall, this dissertation offers lessons not only for those interested in Indian politics but also for everyone seeking to understand the role of quotas in addressing political inequality. 
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                            - PAR ID:
- 10561788
- Publisher / Repository:
- Proquest Dissertations
- Date Published:
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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