Reference health
New York City Street Cleanliness: Applying Text Mining Techniques to Social Media Information
5 of 57 checkable references need attention · checked 2026-08-27
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
16 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
References needing attention
does not resolve to a known work10.1016/0278-4254(84
does not resolve to a known work10.1016/S0740-8188(96
does not resolve to a known work10.1016/S0278-4254(01
does not resolve to a known work10.1016/0278-4254
does not resolve to a known work10.1016/S0278-4254(03
The 52 checked references that resolve
resolves10.31030/3022078
DIN EN 16603-40-07:2019-06, Raumfahrttechnik_- Teil_40-07: Modelliersoftware-Plattform; Englische Fassung prEN_16603-40-07:2019
resolves10.1016/j.jalz.2011.05.863
O2‐04‐06: Dietary fatty acids (FA) and dementia: Observations from the Washington Heights and Inwood Columbia Aging Project
resolves10.15520/jbme.v8i04.2858
Spatial and Industry Cluster of Agricultural FDI into China: Evidence from 13165 Foreign Firms’ Choices
resolves10.1108/oir-03-2012-0054
A set of metrics to assess stakeholder engagement and social legitimacy on a corporate Facebook page
resolves10.1016/j.jaccpubpol.2006.09.002
An experimental investigation of accounting information’s influence on the individual giving process
resolves10.1177/0261927x15586792
Which Spoken Language Markers Identify Deception in High-Stakes Settings? Evidence From Earnings Conference Calls
resolves10.1080/15377857.2014.959690
Can Social Media Predict Election Results? Evidence From New Zealand
resolves10.1016/j.dss.2010.07.012
Making words work: Using financial text as a predictor of financial events
resolves10.1007/s10579-012-9185-0
Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messages
resolves10.1111/capa.12134
Crowdsourcing as a new instrument in the government's arsenal: Explorations and considerations
resolves10.2308/isys-51315
The Current State and Future Direction of IT Audit: Challenges and Opportunities
resolves10.1016/j.dss.2008.11.013
Identifying disgruntled employee systems fraud risk through text mining: A simple solution for a multi-billion dollar problem
resolves10.1016/j.jaccpubpol.2010.10.003
The association between non-financial performance measures in executive compensation contracts and earnings management
resolves10.1016/j.chb.2012.04.016
The effects of social media based brand communities on brand community markers, value creation practices, brand trust and brand loyalty
resolves10.1016/j.is.2016.10.001
Discovering public sentiment in social media for predicting stock movement of publicly listed companies
resolves10.1016/j.jacceco.2008.02.003
Annual report readability, current earnings, and earnings persistence
resolves10.1142/S0218194018400272
SmartClean: Smart City Street Cleanliness System Using Multi-Level Assessment Model — Research Notes
resolves10.1016/j.giq.2012.06.003
From e-government to we-government: Defining a typology for citizen coproduction in the age of social media
resolves10.2308/jeta-51438
Text Mining to Uncover the Intensity of SEC Comment Letters and Its Association with the Probability of 10-K Restatement
resolves10.1111/j.1540-6261.2010.01625.x
When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks
resolves10.2308/isys-52244
Facilitating Citizens' Voice and Process Reengineering Using a Cloud-Based Mobile App
resolves10.2308/jeta-51195
Crowdsourcing Tags in Accounting and Finance: Review, Analysis, and Emerging Issues
resolves10.2308/jeta-51600
KPMG Knowledge Management and the Next Phase: Using Enterprise Social Media
resolves10.15353/joci.v4i3.2946
Social Networks and Social Capital: Rethinking Theory in Community Informatics
The 16 references without a DOI — listed, not checked
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no DOI — not checkedref9
no DOI — not checkedref11
no DOI — not checkedref12
no DOI — not checkedref33
no DOI — not checkedVADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
no DOI — not checkedref40
no DOI — not checkedref51
no DOI — not checkedref55
no DOI — not checkedref56
no DOI — not checkedTwitter as a Corpus for Sentiment Analysis and Opinion Mining Microblogging Microblogging = Posting Small Blog Entries Platforms
no DOI — not checkedDifferential Emotions and the Stock Market -The Case of Company-Specific Trading
no DOI — not checkedref63
no DOI — not checkedref65
no DOI — not checkedref67
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carried a retraction notice at that time. It says nothing about the quality, findings,
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