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Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews

https://doi.org/10.2139/ssrn.2293165
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1111/j.1745-4565.2006.00049.xopenalex-extracted
CONSUMER ASSESSMENT OF THE SAFETY OF RESTAURANTS: THE ROLE OF INSPECTION NOTICES AND OTHER INFORMATION CUES
inferredcites →https://doi.org/10.1111/j.1748-0159.2009.00151.xopenalex-extracted
The use of restaurant inspection disclosure systems as a means of communicating food safety information
inferredcites →https://doi.org/10.1145/1562764.1562800openalex-extracted
Overcoming the J-shaped distribution of product reviews
inferredcites →https://doi.org/10.1162/003355303321675428openalex-extracted
The Effect of Information on Product Quality: Evidence from Restaurant Hygiene Grade Cards
inferredcites →https://doi.org/10.1257/mic.1.1.237openalex-extracted
Reputational Incentives for Restaurant Hygiene
inferredcites →https://doi.org/10.1609/aaai.v26i1.8103openalex-extracted
Predicting Disease Transmission from Geo-Tagged Micro-Blog Data
inferredcites →https://doi.org/10.1609/icwsm.v6i1.14235openalex-extracted
Modeling Spread of Disease from Social Interactions
inferredcites →https://doi.org/10.1609/icwsm.v6i1.14275openalex-extracted
Distributional Footprints of Deceptive Product Reviews
inferredcites →https://doi.org/10.22004/ag.econ.93482openalex-extracted
The Case in Support of Restaurant Hygiene Grade Cards
inferredcites →https://doi.org/10.4103/aian.aian_524_24openalex-extracted
Thrombolysis for Ischemic Stroke Despite Recent Ingestion of Direct Oral Anticoagulants – A Growing Dilemma Also in India
inferredcites →https://doi.org/10.48550/arxiv.1107.4557openalex-extracted
Finding Deceptive Opinion Spam by Any Stretch of the Imagination

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Using Government Data and Machine Learning for Predicting Firms’ Vulnerability to Economic Crisis
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Relation Extraction for the Food Domain without Labeled Training Data – Is Distant Supervision the Best Solution?
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User-Generated Content and Social Media
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Randomization bias in field trials to evaluate targeting methods
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Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare
inferred← citeshttps://doi.org/10.1016/j.healthplace.2020.102325openalex-snapshot
Food safety vulnerability: Neighbourhood determinants of non-compliant establishments in England and Wales
inferred← citeshttps://doi.org/10.1016/j.jebo.2018.09.010openalex-snapshot
Targeting with machine learning: An application to a tax rebate program in Italy
inferred← citeshttps://doi.org/10.1016/j.ypmed.2014.08.003openalex-snapshot
Online reports of foodborne illness capture foods implicated in official foodborne outbreak reports
inferred← citeshttps://doi.org/10.1038/s41893-018-0142-9openalex-snapshot
Machine learning for environmental monitoring
inferred← citeshttps://doi.org/10.1073/pnas.1903064116openalex-snapshot
Predicting neighborhoods’ socioeconomic attributes using restaurant data
inferred← citeshttps://doi.org/10.1080/07421222.2019.1661094openalex-snapshot
Information Processing on Online Review Platforms
inferred← citeshttps://doi.org/10.1093/oxrep/grx043openalex-snapshot
The market design and policy of online review platforms
inferred← citeshttps://doi.org/10.1108/imds-03-2015-0098openalex-snapshot
Gaining competitive intelligence from social media data
inferred← citeshttps://doi.org/10.1111/deci.12398openalex-snapshot
Can Consumers Use Online Reviews to Avoid Unsuitable Doctors? Evidence From RateMDs.com and the Federation of State Medical Boards
inferred← citeshttps://doi.org/10.1111/ecin.12364openalex-snapshot
BIG DATA AND BIG CITIES: THE PROMISES AND LIMITATIONS OF IMPROVED MEASURES OF URBAN LIFE
inferred← citeshttps://doi.org/10.1145/3078714.3078737openalex-snapshot
Eatery
inferred← citeshttps://doi.org/10.1145/3308558.3313683openalex-snapshot
Is Yelp Actually Cleaning Up the Restaurant Industry? A Re-Analysis on the Relative Usefulness of Consumer Reviews
inferred← citeshttps://doi.org/10.1145/3314344.3332484openalex-snapshot
Using machine learning to help vulnerable tenants in New York city
inferred← citeshttps://doi.org/10.1177/01655515241293775openalex-snapshot
Evaluating public sector employee perceptions towards artificial intelligence and generative artificial intelligence integration
inferred← citeshttps://doi.org/10.1177/09520767231198411openalex-snapshot
Policy initiatives for Artificial Intelligence-enabled government: An analysis of national strategies in Europe
inferred← citeshttps://doi.org/10.1257/aer.p20151023openalex-snapshot
Prediction Policy Problems
inferred← citeshttps://doi.org/10.1257/aer.p20161027openalex-snapshot
Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy
inferred← citeshttps://doi.org/10.14236/ewic/hci2016.21openalex-snapshot
Improving Human-Reviews Interaction: A Study of the Role, Use, and Place of Online Reviews
inferred← citeshttps://doi.org/10.2139/ssrn.2694723openalex-snapshot
Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life
inferred← citeshttps://doi.org/10.2139/ssrn.2953142openalex-snapshot
Assessing the Quality of Quality Assessment: The Role of Scheduling
inferred← citeshttps://doi.org/10.2139/ssrn.3836338openalex-snapshot
Optimal Targeting in Fundraising: A Machine-Learning Approach
inferred← citeshttps://doi.org/10.3386/w22124openalex-snapshot
Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy
inferred← citeshttps://doi.org/10.3390/su11143934openalex-snapshot
Identifying Drivers of Genetically Modified Seafood Demand: Evidence from a Choice Experiment
inferred← citeshttps://doi.org/10.47339/ephj.2020.23openalex-snapshot
Comparison of restaurant inspection report results and its corresponding star ratings on Yelp and Google Reviews
inferred← citeshttps://doi.org/10.48550/arxiv.1603.05673openalex-snapshot
Predicting health inspection results from online restaurant reviews
inferred← citeshttps://doi.org/10.48550/arxiv.1706.02795openalex-snapshot
A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform
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