Search engines, such as Google or Yandex, shape social reality by informing their users
about current and historical phenomena. However, there is little research on how search …

The study of algorithmically curated media environments through emulated browsing has
become a key method of computational social science. Here, we review underlying concepts …

While individuals' trust in search engine results is well-supported, little is known about their
preferences when selecting news. We use web-tracked behavioral data across a 2-month …

AI-powered face-editing technologies, such as face filters and beauty apps, are widely used
for appearance enhancement. However, such tools often perpetuate rigid beauty standards …

Search engines play a crucial role in today's information environment. Yet, political and
news-related (PNR) search engine use remains understudied, mainly due to the lack of …

Internet users highly rely on and trust web search engines, such as Google, to find relevant
information online. However, scholars have documented numerous biases and inaccuracies …

The results returned by image search engines have the power to shape peoples'
perceptions about social groups. Existing work on image search engines leverages hand …

Search engines play a crucial role in today's information environment. Yet, political and
news-related (PNR) search engine use remains understudied, mainly due to the lack of …

Researchers rely on academic web search engines to find scientific sources, but search
engine mechanisms may selectively present content that aligns with biases embedded in …

In this paper we provide a systematic review of gender bias in AI, focusing on bias detection,
mitigation, and the challenges of addressing non-binary gender bias within textual, visual …