Reference health
Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach
92/92 checkable references clean · checked 2026-10-18
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 92 checked references that resolve
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Bundling Effects on Variety Seeking for Digital Information Goods
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On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations
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Training deep networks for facial expression recognition with crowd-sourced label distribution
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Affect in Web Interfaces: A Study of the Impacts of Web Page Visual Complexity and Order1
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Web Video Popularity Prediction using Sentiment and Content Visual Features
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The Influence of Home Page Complexity on Consumer Attention, Attitudes, and Purchase Intent
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Image Popularity Prediction in Social Media Using Sentiment and Context Features
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Examining the Impact of Keyword Ambiguity on Search Advertising Performance: A Topic Model Approach1
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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
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Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
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Call for Papers—Special Issue of <i>Information Systems Research</i>—Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society
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The Determinants and Impacts of Aesthetics in Users’ First Interaction with Websites
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The effects of visual and verbal information on attitudes and purchase intentions in internet shopping
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The Impact of Ad Repetition and Ad Content on Consumer Perceptions of Incongruent Extensions
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Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook
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A Friend Like Me: Modeling Network Formation in a Location-Based Social Network
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Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns
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The moderating role of information load on online product presentation
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The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter
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Data-Driven Meets Theory-Driven Research in the Era of Big Data: Opportunities and Challenges for Information Systems Research
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The Effect of Verbal and Visual Components of Advertisements on Brand Attitudes and Attitude Toward the Advertisement
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An Investigation of the Processes by Which Product Design and Brand Strength Interact to Determine Initial Affect and Quality Judgments
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Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement
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The Impact of Verbal Anchoring on Consumer Response to Image Ads
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The Stopping Power of Advertising: Measures and Effects of Visual Complexity
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The Effects of Sexual and Non-Sexual Advertising Appeals and Information Level on Cognitive Processing and Communication Effectiveness
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The Effects of Visual and Verbal Advertising Information on Consumers' Inferences
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Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior
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Combining Multiple Features for Image Popularity Prediction in Social Media
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Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
The 50 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref2
no DOI — not checkedMake "fairness by design" part of machine learning
no DOI — not checkedThe pulse of news in social media: Forecasting popularity
no DOI — not checkedLatent Dirichlet allocation
no DOI — not checkedVisual categorization with bags of keypoints
no DOI — not checkedref20
no DOI — not checkedDeCAF: A deep convolutional activation feature for generic visual recognition
no DOI — not checkedEndorser effectiveness by product type
no DOI — not checkedOne second of reading
no DOI — not checkedLearning word vectors for 157 languages
no DOI — not checkedref40
no DOI — not checkedBPEmb: Tokenization-free pre-trained subword embeddings in 275 languages
no DOI — not checkedCaffe: Convolutional architecture for fast feature embedding
no DOI — not checkedref50
no DOI — not checkedCelebrity and noncelebrity advertising in a two-sided context
no DOI — not checkedProcesses of opinion change
no DOI — not checkedref54
no DOI — not checkedElaboration likelihood model in consumer research: A review
no DOI — not checkedLearning transferable features with deep adaptation networks
no DOI — not checkedMulti-feature fusion for predicting social media popularity
no DOI — not checkedDo we really need to collect millions of faces for effective face recognition?
no DOI — not checkedDistributed representations of words and phrases and their compositionality
no DOI — not checkedExploring session context using distributed representations of queries and reformulations
no DOI — not checkedLearning and transferring mid-level image representations using convolutional neural networks
no DOI — not checkedVision science: Photons to phenomenology
no DOI — not checkedAutomatic differentiation in PyTorch
no DOI — not checkedref91
no DOI — not checkedEditor's comments: Synergies between big data and theory
no DOI — not checkedref97
no DOI — not checkedref98
no DOI — not checkedref99
no DOI — not checkedCNN features off-theshelf: An astounding baseline for recognition
no DOI — not checkedSoftware framework for topic modelling with large corpora
no DOI — not checkedDetection of pornographic content in Internet images
no DOI — not checkedGeorge van den Driessche, Thore Graepel, and Demis Hassabis
no DOI — not checkedVery deep convolutional networks for large-scale image recognition
no DOI — not checkedHow sexy illustrations affect brand recall
no DOI — not checkedEvaluation methods for topic models
no DOI — not checkedHow transferable are features in deep neural networks?
no DOI — not checkedLearning deep features for scene recognition using places database
no DOI — not checkedhe was a Machine Learning Scientist at Amazon Web Services. He received his Ph.D. in Computer Science from the University of Texas at Austin. His main research interests are in machine learning, deep learning, big data, recommender systems, social media, and business analytics applications
no DOI — not checkedref134
no DOI — not checkedref135
no DOI — not checkedShe has received grants from National Science Foundation and NET Institute to support her research
no DOI — not checkedref137
no DOI — not checkedHis papers have appeared in MIS Quarterly
no DOI — not checkedOperation Management Department at the McCombs School of Business at the University of Texas at Austin. He is also the director at the Center for Research in Electronic Commerce. He received his Ph.D. in Management from Carnegie Mellon University. His recent papers have appeared in Information Systems Research
no DOI — not checkedref140
no DOI — not checkedref142
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