[web] / Statista / https://www.statista.com/statistics/310218/total-kickstarter-funding/

[web] / Symbid / http://blog.symbid.com/2015/trends/crowdfunding-industry-overtakes-venture-capital-and-angel-investing/

[book] Cumming, Douglas / 2015 / Crowdfunding models: Keep-it-all vs. all-ornothing

[web] / Kickstarter / https://www.kickstarter.com/help/stats?ref=global-footer

[journal] Ethan Mollick / 2014 / The dynamics of crowdfunding: An exploratory study / Journal of Business Venturing / Elsevier BV 29(1) : 1~16 / 10.1016/j.jbusvent.2013.06.005

[web] / Suspicious activity report / https://www.crowdfundinsider.com/2015/10/75936-us-treasury-publishes-suspicious-activity-report-highlighting-crowdfunding-scams-frauds/

[journal] Ho, Tina H. / 2015 / Social purpose corporations: The next targets for greenwashing practices and crowdfunding scams / Seattle J. Soc. Just. 13 : 935~

[journal] Xu, Jennifer / 2016 / Identifying features for detecting fraudulent loan requests on P2P platforms / IEEE Intelligence and Security Informatics : 79~84

[web] / CNN Kickstarter scam project / http://money.cnn.com/2013/06/17/technology/kickstarter-scam-kobe-jerky

[web] / Reddit / https://reddit.com/

[web] / Kickscammed / http://kickscammed.com/

[web] / Facebook group / https://www.facebook.com/groups/1380253912299062/

[confproc] Etter, Vincent / 2013 / Launch hard or go home!: predicting the success of kickstarter campaigns / Proceedings of the first ACM conference on Online social networks : 177~182

[book] Mollick, E. / 2014 / The dynamics of crowdfunding: Deter minants of success and failure / Social Science Research Network

[confproc] Greenberg / 2013 / Crowdfunding support tools: predicting success & failure / CHI'13 Extended Abstracts on Human Factors in Computing Systems : 1815~1820

[confproc] Mitra, Tanushree / 2014 / The language that gets people to give: Phrases that predict success on kickstarter / Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing : 49~61

[confproc] Xu, Anbang / 2014 / Show me the money!: An analysis of project updates during crowdfunding campaigns / Proceedings of the SIGCHI conference on human factors in computing systems : 591~600

[book] Zvilichovsky, David / 2015 / Playing both sides of the market: Success and reciprocity on crowdfunding platforms

[confproc] An, Jisun / 2014 / Recommending investors for crowdfunding projects / Proceedings of the 23rd international conference on WWW : 261~270

[confproc] Kim, Yongsung / 2017 / Understanding trust amid delays in crowdfunding / 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

[journal] Xiao, Bo / 2011 / Product-Related Deception in E-Commerce: A Theoretical Perspective / MIS Quarterly / JSTOR 35(1) : 169~ / 10.2307/23043494

[confproc] Burgoon, Judee K. / 2003 / Detecting deception through linguistic analysis / International Conference on Intelligence and Security Informatics : 91~101

[journal] Humpherys, Sean L. / 2011 / Identification of fraudulent financial statements using linguistic credibility analysis / Decision Support Systems 50(3) : 585~594 / 10.1016/j.dss.2010.08.009

[confproc] Keila, Parambir S. / 2005 / Detecting unusual and deceptive communication in email / Centers for Advanced Studies Conference : 17~20

[confproc] Toma, Catalina L. / 2010 / Reading between the lines: linguistic cues to deception in online dating profiles / Proceedings of the 2010 ACM conference on Computer supported cooperative work : 5~8

[journal] Pennebaker, James W. / 2003 / Psychological aspects of natural language use: Our words, our selves / Annual review of psychology 54(1) : 547~577 / 10.1146/annurev.psych.54.101601.145041

[book] Shafqat, Wafa / 2016 / The language of deceivers: Linguistic features of crowdfunding scams : 99~100

[book] Cumming, Douglas J. / 2016 / Disentangling crowdfunding from fraudfunding

[journal] Michael Siering / 2016 / Detecting Fraudulent Behavior on Crowdfunding Platforms: The Role of Linguistic and Content-Based Cues in Static and Dynamic Contexts / Journal of Management Information Systems / Informa UK Limited 33(2) : 421~455 / 10.1080/07421222.2016.1205930

[confproc] Manning, Christopher / 2014 / The Stanford CoreNLP natural language processing toolkit / Proceedings of 52nd annual meeting of the association for computational linguistics: system demonstrations : 55~60

[book] Gunning, Robert / 1952 / The technique of clear writing

[web] / Outgrow / https://outgrow.me/

[journal] Lina Zhou / 2004 / Automating Linguistics-Based Cues for Detecting Deception in Text-Based Asynchronous Computer-Mediated Communications / Group Decision and Negotiation / Springer Nature 13(1) : 81~106 / 10.1023/B:GRUP.0000011944.62889.6f

[report] Smith, Edgar A. / 1967 / Automated readability index. AMRL-TR / Aerospace Medical Research Laboratories (US) : 1~14

[journal] Meri Coleman / 1975 / A computer readability formula designed for machine scoring. / Journal of Applied Psychology / American Psychological Association (APA) 60(2) : 283~284 / 10.1037/h0076540

[journal] Rudolph Flesch / 1948 / A new readability yardstick. / Journal of Applied Psychology / American Psychological Association (APA) 32(3) : 221~233 / 10.1037/h0057532

[book] Hall, Mark Andrew / 1998 / Correlation-based feature selection for machine learning

[confproc] Liu, Huan / 1996 / A probabilistic approach to feature selection-a filter solution / 13th International Conference on Machine Learning 96 : 319~327

[journal] De Winter / 2013 / Using the Student's t-test with extremely small sample sizes / Practical Assessment, Research & Evaluation 18(10)

[book] Beier, Michael / 2014 / Crowdfunding Success of Tourism Projects-Evidence from Switzer land

[journal] Hauch, Valerie / 2015 / Are computers effective lie detectors? A meta-analysis of linguistic cues to deception / Personality and Social Psychology Review 19

[journal] Mark Hall / 2009 / The WEKA data mining software / ACM SIGKDD Explorations Newsletter / Association for Computing Machinery (ACM) 11(1) : 10~ / 10.1145/1656274.1656278