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A comparison of online search engine autocompletion in Google and Baidu

Geng Liu, Pietro Pinoli, Stefano Ceri, Francesco Pierri

TL;DR

This document provides comprehensive, prescriptive guidelines for preparing AAAI-format conference papers using PDFLaTeX. It covers mandatory copyright, formatting, and metadata requirements, strict styling constraints, and submission prerequisites to ensure uniform production across proceedings. The guidance emphasizes using the aaai22.sty class, embedding fonts, and avoiding layout alterations, while outlining penalties for overlong or improperly formatted submissions. Collectively, the rules aim to guarantee accessibility, consistency, and high-quality rendering of all AAAI papers in digital and print forms.

Abstract

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, they also have the potential to reinforce and promote stereotypes and negative opinions about a variety of social groups. We study the characteristics of search auto-completions in two different linguistic and cultural contexts: Baidu and Google. We find differences between the two search engines in the way they suppress or modify original queries, and we highlight a concerning presence of negative suggestions across all social groups. Our study highlights the need for more refined, culturally sensitive moderation strategies in current language technologies.

A comparison of online search engine autocompletion in Google and Baidu

TL;DR

This document provides comprehensive, prescriptive guidelines for preparing AAAI-format conference papers using PDFLaTeX. It covers mandatory copyright, formatting, and metadata requirements, strict styling constraints, and submission prerequisites to ensure uniform production across proceedings. The guidance emphasizes using the aaai22.sty class, embedding fonts, and avoiding layout alterations, while outlining penalties for overlong or improperly formatted submissions. Collectively, the rules aim to guarantee accessibility, consistency, and high-quality rendering of all AAAI papers in digital and print forms.

Abstract

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, they also have the potential to reinforce and promote stereotypes and negative opinions about a variety of social groups. We study the characteristics of search auto-completions in two different linguistic and cultural contexts: Baidu and Google. We find differences between the two search engines in the way they suppress or modify original queries, and we highlight a concerning presence of negative suggestions across all social groups. Our study highlights the need for more refined, culturally sensitive moderation strategies in current language technologies.
Paper Structure (64 sections, 3 figures, 2 tables, 1 algorithm)

This paper contains 64 sections, 3 figures, 2 tables, 1 algorithm.

Figures (3)

  • Figure 1: Using the trim and clip commands produces fragile layers that can result in disasters (like this one from an actual paper) when the color space is corrected or the PDF combined with others for the final proceedings. Crop your figures properly in a graphics program -- not in LaTeX
  • Figure 2: Adjusting the bounding box instead of actually removing the unwanted data resulted multiple layers in this paper. It also needlessly increased the PDF size. In this case, the size of the unwanted layer doubled the paper's size, and produced the following surprising results in final production. Crop your figures properly in a graphics program. Don't just alter the bounding box.
  • Figure 3: Example listing quicksort.hs