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Trapped in the search box: An examination of algorithmic bias in search engine autocomplete predictions
This paper examines the autocomplete algorithmic bias of leading search engines against
three sensitive attributes: gender, race, and sexual orientation. By simulating search query …
three sensitive attributes: gender, race, and sexual orientation. By simulating search query …
" Get in Researchers; We're Measuring Reproducibility": A Reproducibility Study of Machine Learning Papers in Tier 1 Security Conferences
Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …
seemingly contradictory results and expands the boundaries of known discoveries …
Scalable detection of promotional website defacements in black hat {SEO} campaigns
Miscreants from online underground economies regularly exploit website vulnerabilities and
inject fraudulent content into victim web pages to promote illicit goods and services …
inject fraudulent content into victim web pages to promote illicit goods and services …
When are search completion suggestions problematic?
Problematic web search query completion suggestions-perceived as biased, offensive, or in
some other way harmful-can reinforce existing stereotypes and misbeliefs, and even nudge …
some other way harmful-can reinforce existing stereotypes and misbeliefs, and even nudge …
Detecting and measuring misconfigured manifests in android apps
The manifest file of an Android app is crucial for app security as it declares sensitive app
configurations, such as access permissions required to access app components …
configurations, such as access permissions required to access app components …
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval
The purpose of the SIGIR 2019 workshop on Fairness, Accountability, Confidentiality,
Transparency, and Safety (FACTS-IR) was to explore challenges in responsible information …
Transparency, and Safety (FACTS-IR) was to explore challenges in responsible information …
A comparison of online search engine autocompletion in Google and Baidu
Warning: This paper contains content that may be offensive or upsetting. Online search
engine auto-completions make it faster for users to search and access information. However …
engine auto-completions make it faster for users to search and access information. However …
Auditing search query suggestion bias through recursive algorithm interrogation
Despite their important role in online information search, search query suggestions have not
been researched as much as most other aspects of search engines. Although reasons for …
been researched as much as most other aspects of search engines. Although reasons for …
Fairness in Search Systems
Search engines play a crucial role in organizing and delivering information to billions of
users worldwide. However, these systems often reflect and amplify existing societal biases …
users worldwide. However, these systems often reflect and amplify existing societal biases …
Examining Racial Stereotypes in YouTube Autocomplete Suggestions
Autocomplete is a popular search feature that predicts queries based on user input and
guides users to a set of potentially relevant suggestions. In this study, we examine how …
guides users to a set of potentially relevant suggestions. In this study, we examine how …