{"id":683982,"date":"2020-08-10T12:13:13","date_gmt":"2020-08-10T19:13:13","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=683982"},"modified":"2021-02-12T08:36:05","modified_gmt":"2021-02-12T16:36:05","slug":"when-are-search-completion-suggestions-problematic","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/when-are-search-completion-suggestions-problematic\/","title":{"rendered":"When Are Search Completion Suggestions Problematic?"},"content":{"rendered":"
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 users towards undesirable patterns of behavior.\u00a0 Locating such suggestions is difficult, not only due to the long-tailed nature of web search, but also due to differences in how people assess potential harms.\u00a0 Grounding our study in web search query logs, we explore when system-provided suggestions might be perceived as problematic<\/em> through a series of crowd-experiments where we systematically manipulate: the search query fragments provided by users,\u00a0 possible user search intents, and the list of query completion suggestions.\u00a0 To examine why<\/em> query suggestions might be perceived as problematic, we contrast them to an inventory of known types of problematic suggestions. We report our observations around differences in the prevalence of\u00a0 a) suggestions that are problematic on their own versus\u00a0 b) suggestions that are problematic for the query fragment provided by a user, for both common informational needs and in the presence of web search voids<\/em>—topics searched by few to no users.\u00a0 Our experiments surface a rich array of scenarios where suggestions are considered problematic, including due to the context in which they were surfaced. Compounded by the elusive nature of many such scenarios, the prevalence of suggestions perceived as problematic only for certain user inputs, raises concerns about blind spots due to data annotation practices that may lead to some types of problematic suggestions being overlooked.<\/p>\n","protected":false},"excerpt":{"rendered":" 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 users towards undesirable patterns of behavior.\u00a0 Locating such suggestions is difficult, not only due to the long-tailed nature of web search, but also due to differences in how people assess potential harms.\u00a0 […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[246574],"research-area":[13545,13554,13555],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-683982","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-highlight-award","msr-research-area-human-language-technologies","msr-research-area-human-computer-interaction","msr-research-area-search-information-retrieval","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2020-8-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"ACM","msr_how_published":"","msr_notes":"CSCW 2020 Honorable Mention","msr_highlight_text":"CSCW 2020 Honorable Mention","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2020\/08\/Problematic-Autocompletes.pdf","id":"684216","title":"problematic-autocompletes","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":684216,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2020\/08\/Problematic-Autocompletes.pdf"},{"id":683985,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2020\/08\/2007.05039.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Alexandra 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