Auditing for discrimination in algorithms delivering job ads
Ad platforms such as Facebook, Google and LinkedIn promise value for advertisers through
their targeted advertising. However, multiple studies have shown that ad delivery on such …
their targeted advertising. However, multiple studies have shown that ad delivery on such …
Quantifying the potential persuasive returns to political microtargeting
Much concern has been raised about the power of political microtargeting to sway voters'
opinions, influence elections, and undermine democracy. Yet little research has directly …
opinions, influence elections, and undermine democracy. Yet little research has directly …
Evaluating the persuasive influence of political microtargeting with large language models
Recent advancements in large language models (LLMs) have raised the prospect of
scalable, automated, and fine-grained political microtargeting on a scale previously unseen; …
scalable, automated, and fine-grained political microtargeting on a scale previously unseen; …
Internet-based micro-identities as a driver of societal disintegration
M Kossowska, P Kłodkowski… - Humanities and Social …, 2023 - nature.com
The article discusses the role of digital media use in societal transformations, with a specific
focus on the emergence of micro-identities. It also explores the extent to which such …
focus on the emergence of micro-identities. It also explores the extent to which such …
Public attitudes towards algorithmic personalization and use of personal data online: Evidence from Germany, Great Britain, and the United States
People rely on data-driven AI technologies nearly every time they go online, whether they
are shop**, scrolling through news feeds, or looking for entertainment. Yet despite their …
are shop**, scrolling through news feeds, or looking for entertainment. Yet despite their …
Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising
Algorithm audits are powerful tools for studying black-box systems without direct knowledge
of their inner workings. While very effective in examining technical components, the method …
of their inner workings. While very effective in examining technical components, the method …
On the conversational persuasiveness of large language models: A randomized controlled trial
The development and popularization of large language models (LLMs) have raised
concerns that they will be used to create tailor-made, convincing arguments to push false or …
concerns that they will be used to create tailor-made, convincing arguments to push false or …
Automated trouble: The role of algorithmic selection in harms on social media platforms
Social media platforms like Facebook, YouTube, and Twitter have become major objects of
criticism for reasons such as privacy violations, anticompetitive practices, and interference in …
criticism for reasons such as privacy violations, anticompetitive practices, and interference in …
“Reach the right people”: The politics of “interests” in Facebook's classification system for ad targeting
Political campaigns increasingly rely on Facebook for reaching their constituents,
particularly through ad targeting. Facebook's business model is premised on a promise to …
particularly through ad targeting. Facebook's business model is premised on a promise to …
The distressing ads that persist: Uncovering the harms of targeted weight-loss ads among users with histories of disordered eating
Targeted advertising can harm vulnerable groups when it targets individuals' personal and
psychological vulnerabilities. We focus on how targeted weight-loss advertisements harm …
psychological vulnerabilities. We focus on how targeted weight-loss advertisements harm …