Results 11 to 20 of about 3,469,349 (355)
Why People Search for Images using Web Search Engines [PDF]
Web Search and Data Mining, 2017 What are the intents or goals behind human interactions with image search engines? Knowing why people search for images is of major concern to Web image search engines because user satisfaction may vary as intent varies. Previous analyses of image search
de Rijke, Maarten +5 more
core +4 more sources
Auditing Search Engines for Differential Satisfaction Across Demographics [PDF]
The Web Conference, 2017 Many online services, such as search engines, social media platforms, and digital marketplaces, are advertised as being available to any user, regardless of their age, gender, or other demographic factors.
Anderson, Ashton +5 more
core +4 more sources
Evaluating Verifiability in Generative Search Engines [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Generative search engines directly generate responses to user queries, along with in-line citations. A prerequisite trait of a trustworthy generative search engine is verifiability, i.e., systems should cite comprehensively (high citation recall; all ...
Nelson F. Liu, Tianyi Zhang, Percy Liang
semanticscholar +1 more source
Autoregressive Search Engines: Generating Substrings as Document Identifiers [PDF]
Neural Information Processing Systems, 2022 Knowledge-intensive language tasks require NLP systems to both provide the correct answer and retrieve supporting evidence for it in a given corpus. Autoregressive language models are emerging as the de-facto standard for generating answers, with newer ...
Michele Bevilacqua +5 more
semanticscholar +1 more source
Large Language Models are Built-in Autoregressive Search Engines [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Document retrieval is a key stage of standard Web search engines. Existing dual-encoder dense retrievers obtain representations for questions and documents independently, allowing for only shallow interactions between them.
Noah Ziems +3 more
semanticscholar +1 more source
The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines [PDF]
Social science computer review, 2021 We examine how six search engines filter and rank information in relation to the queries on the U.S. 2020 presidential primary elections under the default—that is nonpersonalized—conditions.
Aleksandra Urman +2 more
semanticscholar +1 more source
Detecting race and gender bias in visual representation of AI on web search engines [PDF]
International Workshop on Algorithmic Bias in Search and Recommendation, 2021 Web search engines influence perception of social reality by filtering and ranking information. However, their outputs are often subjected to bias that can lead to skewed representation of subjects such as professional occupations or gender. In our paper,
M. Makhortykh +2 more
semanticscholar +1 more source
How search engines disseminate information about COVID-19 and why they should do better
Harvard Kennedy School Misinformation Review, 2020 Access to accurate and up-to-date information is essential for individual and collective decision making, especially at times of emergency. On February 26, 2020, two weeks before the World Health Organization (WHO) officially declared the COVID-19’s ...
M. Makhortykh +2 more
semanticscholar +1 more source
CDQR, 2019 Read and considered thoughtfully, Safiya Umoja Noble's Algorithms of Oppression: How Search Engines Reinforce Racism is devastating. It reduces to rubble the notion that technology is neutral and ideology-free.
Gregory Zobel
semanticscholar +1 more source
Information, Communication & Society, 2020 Search engines are important political news sources and should thus provide users with diverse political information – an important precondition of a well-informed citizenry.
M. Steiner +3 more
semanticscholar +1 more source