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When Are Search Completion Suggestions Problematic?
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-72113-8openalex-snapshot
Advances in Information Retrieval
inferredcites →https://doi.org/10.1007/s10791-017-9315-9openalex-snapshot
Introduction to the special issue on search as learning
inferredcites →https://doi.org/10.1007/s41060-017-0088-4openalex-snapshot
Deep learning for detecting inappropriate content in text
inferredcites →https://doi.org/10.1016/j.socnet.2014.01.004openalex-snapshot
Assessing the bias in samples of large online networks
inferredcites →https://doi.org/10.1080/17405904.2012.744320openalex-snapshot
‘Why do white people have thin lips?’ Google and the perpetuation of stereotypes via auto-complete search forms
inferredcites →https://doi.org/10.1093/ijlit/eav009openalex-snapshot
Search engine liability for autocomplete suggestions: personality, privacy and the power of the algorithm
inferredcites →https://doi.org/10.1145/1183614openalex-snapshot
Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06
inferredcites →https://doi.org/10.1145/1314215.1314224openalex-snapshot
Are people biased in their use of search engines?
inferredcites →https://doi.org/10.1145/1409220.1409224openalex-snapshot
Learning about the world through long-term query logs
inferredcites →https://doi.org/10.1145/1526709.1526817openalex-snapshot
Computers and iphones and mobile phones, oh my!
inferredcites →https://doi.org/10.1145/1963405.1963424openalex-snapshot
Context-sensitive query auto-completion
inferredcites →https://doi.org/10.1145/2380718.2380761openalex-snapshot
Mining web query logs to analyze political issues
inferredcites →https://doi.org/10.1145/2447976.2447990openalex-snapshot
Discrimination in online ad delivery
inferredcites →https://doi.org/10.1145/2484028.2484041openalex-snapshot
User model-based metrics for offline query suggestion evaluation
inferredcites →https://doi.org/10.1145/2484028.2484076openalex-snapshot
Learning to personalize query auto-completion
inferredcites →https://doi.org/10.1145/2492189.2492195openalex-snapshot
Report on the workshop on search and exploration of x-rated information (SEXI 2013)
inferredcites →https://doi.org/10.1145/2535525openalex-snapshot
Analyzing, Detecting, and Exploiting Sentiment in Web Queries
inferredcites →https://doi.org/10.1145/2600428.2609508openalex-snapshot
On user interactions with query auto-completion
inferredcites →https://doi.org/10.1145/2600428.2609571openalex-snapshot
A two-dimensional click model for query auto-completion
inferredcites →https://doi.org/10.1145/2675133.2675242openalex-snapshot
What to Expect When the Unexpected Happens
inferredcites →https://doi.org/10.1145/2806416.2806599openalex-snapshot
Query Auto-Completion for Rare Prefixes
inferredcites →https://doi.org/10.1145/2818048.2819942openalex-snapshot
The Crowd is a Collaborative Network
inferredcites →https://doi.org/10.1145/2983323.2983709openalex-snapshot
Detecting Promotion Campaigns in Query Auto Completion
inferredcites →https://doi.org/10.1145/2998181.2998353openalex-snapshot
Distilling the Outcomes of Personal Experiences
inferredcites →https://doi.org/10.1145/3178876.3186143openalex-snapshot
Auditing the Personalization and Composition of Politically-Related Search Engine Results Pages
inferredcites →https://doi.org/10.1145/3331184.3331644openalex-snapshot
Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR)
inferredcites →https://doi.org/10.1145/3351095.3372835openalex-snapshot
The case for voter-centered audits of search engines during political elections
inferredcites →https://doi.org/10.1145/3377325.3377523openalex-snapshot
Predictive text encourages predictable writing
inferredcites →https://doi.org/10.1177/0049124106292367openalex-snapshot
Experimental Plans in Factorial Surveys
inferredcites →https://doi.org/10.1177/1461444814543163openalex-snapshot
What is a flag for? Social media reporting tools and the vocabulary of complaint
inferredcites →https://doi.org/10.1177/1461444816644805openalex-snapshot
Responsible epistemic technologies: A social-epistemological analysis of autocompleted web search
inferredcites →https://doi.org/10.1177/1461444819876115openalex-snapshot
Algorithms of oppression: How search engines reinforce racism
inferredcites →https://doi.org/10.1609/icwsm.v13i01.3216openalex-snapshot
More Than Money: Correlation among Worker Demographics, Motivations, and Participation in Online Labor Market
inferredcites →https://doi.org/10.24135/tekaharoa.v7i1.45openalex-snapshot
Maori Are Scum, Stupid, Lazy: Maori According to Google
inferredcites →https://doi.org/10.3115/v1/e14-1041openalex-snapshot
Acquisition of Noncontiguous Class Attributes from Web Search Queries
inferredcites →https://doi.org/10.3389/fdata.2019.00013openalex-snapshot
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
inferredcites →https://doi.org/10.48550/arxiv.1704.01347openalex-snapshot
Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media
inferredcites →https://doi.org/10.5210/fm.v17i7.4070openalex-snapshot
Political Insights: Exploring partisanship in Web search queries
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4683734openalex-extracted
Biased Search Engine Autosuggestions Against Females and Migrants Can Lead to Hiring Discrimination: An Experimental Investigation
inferred← citeshttps://doi.org/10.1002/jcop.23013openalex-snapshot
Understanding search autocompletes from the perspectives of English and Spanish speakers during the early months of the COVID‐19 pandemic
inferred← citeshttps://doi.org/10.1007/978-3-030-78818-6_12openalex-snapshot
Perception-Aware Bias Detection for Query Suggestions
inferred← citeshttps://doi.org/10.1007/978-3-031-28241-6_35openalex-snapshot
Deep Learning Methods for Query Auto Completion
inferred← citeshttps://doi.org/10.1007/978-3-031-56066-8_25openalex-snapshot
Not Just Algorithms: Strategically Addressing Consumer Impacts in Information Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-032-11477-8_1openalex-snapshot
Assessing Performance of Large Language Models in Generating Local and Trending Query Auto-completions
inferred← citeshttps://doi.org/10.1007/978-981-97-2266-2_9openalex-snapshot
DQAC: Detoxifying Query Auto-completion with Adapters
inferred← citeshttps://doi.org/10.1007/s10462-021-09994-yopenalex-snapshot
Spatiotemporal data mining: a survey on challenges and open problems
inferred← citeshttps://doi.org/10.1016/j.chb.2024.108408openalex-snapshot
Biased search engine autosuggestions against females and immigrants can lead to hiring discrimination: An experimental investigation
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2026.103929openalex-snapshot
Auditing TikTok’s recommendations: Understanding the prevalence of misinformation on the platform
inferred← citeshttps://doi.org/10.1016/j.tele.2023.102068openalex-snapshot
Trapped in the search box: An examination of algorithmic bias in search engine autocomplete predictions
inferred← citeshttps://doi.org/10.1038/s41586-021-03666-1openalex-snapshot
Measuring algorithmically infused societies
inferred← citeshttps://doi.org/10.1145/3411764.3445557openalex-snapshot
“I Can’t Reply with That”: Characterizing Problematic Email Reply Suggestions
inferred← citeshttps://doi.org/10.1145/3459637.3482340openalex-snapshot
Evaluating Human-AI Hybrid Conversational Systems with Chatbot Message Suggestions
inferred← citeshttps://doi.org/10.1145/3472749.3474792openalex-snapshot
Snowy: Recommending Utterances for Conversational Visual Analysis
inferred← citeshttps://doi.org/10.1145/3510463openalex-snapshot
Two-In-One: A Design Space for Mapping Unimanual Input into Bimanual Interactions in VR for Users with Limited Movement
inferred← citeshttps://doi.org/10.1145/3526113.3545696openalex-snapshot
InterWeave: Presenting Search Suggestions in Context Scaffolds Information Search and Synthesis
inferred← citeshttps://doi.org/10.1145/3540250.3558941openalex-snapshot
Improving ML-based information retrieval software with user-driven functional testing and defect class analysis
inferred← citeshttps://doi.org/10.1145/3544549.3583747openalex-snapshot
Accountability in Algorithmic Systems: From Principles to Practice
inferred← citeshttps://doi.org/10.1145/3703412.3704409openalex-snapshot
Deep Learning Methods for Query Auto Completion
inferred← citeshttps://doi.org/10.1145/3704438openalex-snapshot
The In-Situ Effect of Offensive Ads on Search Engine Users
inferred← citeshttps://doi.org/10.1145/3708319.3733704openalex-snapshot
Searching for BLM: Google Search Results During the 2020 Black Lives Matter Protests
inferred← citeshttps://doi.org/10.1145/3786304.3787877openalex-snapshot
Rare but Respected: Sustainable Intent in Online Product Search
inferred← citeshttps://doi.org/10.1177/01634437221104705openalex-snapshot
Algorithmic power and African indigenous languages: search engine autocomplete and the global multilingual Internet
inferred← citeshttps://doi.org/10.1177/14614448251406282openalex-snapshot
Examining how search engine users understand the production of Autocomplete suggestions
inferred← citeshttps://doi.org/10.17760/d20413988openalex-snapshot
An interdisciplinary examination of partisanship in web search
inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.81openalex-snapshot
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.462openalex-snapshot
Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.343openalex-snapshot
FairPrism: Evaluating Fairness-Related Harms in Text Generation
inferred← citeshttps://doi.org/10.2139/ssrn.4852444openalex-snapshot
Auto-Complete: A Hidden Recommendation Engine
inferred← citeshttps://doi.org/10.23919/jsc.2024.0018openalex-snapshot
A Study of Ethical Implications of AI Tools Enhancing User Conveniences in the Indian Digital Landscape
inferred← citeshttps://doi.org/10.3390/pharmacy9020069openalex-snapshot
Current Knowledge about Providing Drug–Drug Interaction Services for Patients—A Scoping Review
inferred← citeshttps://doi.org/10.3917/rsg.337.0049openalex-snapshot
Valeur perçue et prix d’un service gratuit. Cas d’application exploratoire au moteur de recherche Google
inferred← citeshttps://doi.org/10.4000/books.aaccademia.8280openalex-snapshot
Gender Bias in Italian Word Embeddings
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