What were the six major findings from the qualitative interviews with policymakers, campaign strategists, and social media users regarding algorithmic fairness?
The six major findings from the qualitative interviews were: a delay in accessing information about algorithms, the ethical implications of data mining, the perfunctory collection of data, a lack of recourse in finding those targeted, the lack of accountability by social media companies in fighting misinformation, and growing skepticism.
These findings emerged from a thematic analysis of interviews conducted with policymakers, campaign strategists, and social media users. The study also found that many respondents did not realize how much algorithms controlled the political content they saw, and those from marginalized backgrounds were more likely to feel excluded or misrepresented by algorithmic content curation.
Key points
- Delay in accessing information about algorithms
- Ethical implications of data mining
- Perfunctory collection of data
- Lack of recourse in finding those targeted
- Lack of accountability by social media companies in fighting misinformation
- Growing skepticism
Related questions
- According to the chapter, what are the main threats that algorithmic bias poses to democracy, and how does it affect different demographic groups?
- What solutions does the chapter suggest for addressing the ethical, political, and technological challenges of algorithmic influence and misinformation in political communication?
AI and the Future of Democracy: Building Resilient and Inclusive Societies
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First edition · CRC Press