Online classified advertising: a review and bibliometric analysis

The study of online classified advertising has been evolving recently, with rapid growth in the quantity of publications. Many studies have focused on certain aspects of online classified advertising, such as its societal influence. However, an additional analysis of those studies using rigorous bibliometric tools, which are supposed to offer further research guidance, has not yet been performed. This paper therefore begins by identifying 105 published articles, of which 60 works of proven influence are selected. With the help of rigorous bibliometric and network techniques, established and potential research clusters are identified, together with the collaborative relationships among contributing authors and organizations. A systematic review of this field is helpful in graphically depicting the literature over time and identifying current research focuses as well as emerging trends for future research.

[1]  John Sterling A plan for a US newspaper industry counterattack against disruptive innovators , 2008 .

[2]  Feng Zhu,et al.  Responses to Entry in Multi-Sided Markets: The Impact of Craigslist on Local Newspapers , 2014, Manag. Sci..

[3]  Ted Dunning,et al.  Accurate Methods for the Statistics of Surprise and Coincidence , 1993, CL.

[4]  James R. Fingar,et al.  Marijuana use and intoxication among daily users: an intensive longitudinal study. , 2014, Addictive behaviors.

[5]  Pavel Blagoveston Bochev,et al.  A vector space model for information retrieval with generalized similarity measures. , 2012 .

[6]  Vladimir Batagelj,et al.  Pajek Program for Analysis and Visualization of Large Networks , 2007 .

[7]  Gerard Salton,et al.  A vector space model for automatic indexing , 1975, CACM.

[8]  Maria Soledad Pera,et al.  Web-based closed-domain data extraction on online advertisements , 2013, Inf. Syst..

[9]  Jian Tang,et al.  Categorizing consumer behavioral responses and artifact design features: The case of online advertising , 2014, Information Systems Frontiers.

[10]  Meredith G. F. Worthen An invitation to use craigslist ads to recruit respondents from stigmatized groups for qualitative interviews , 2014 .

[11]  Jianhua Hou,et al.  The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis , 2010, J. Assoc. Inf. Sci. Technol..

[12]  D. Perrone,et al.  “Party N Play” on the Internet: Subcultural Formation, Craigslist, and Escaping from Stigma , 2014 .

[13]  Mathew S. Isaac,et al.  Finding a Home for Products We Love: How Buyer Usage Intent Affects the Pricing of Used Goods , 2012 .

[14]  Padmini Srinivasan,et al.  Spam detection in online classified advertisements , 2011, WebQuality '11.

[15]  Jennifer Rowley,et al.  Conducting a literature review , 2004 .

[16]  J. Parsons,et al.  Recruiting Men Who Have Sex With Men on Craigslist.org for Face-to-Face Assessments: Implications for Research , 2013, AIDS and Behavior.

[17]  U. Brandes A faster algorithm for betweenness centrality , 2001 .

[18]  David A. Moskowitz,et al.  “GWM Looking for Sex—SERIOUS ONLY”: The Interplay of Sexual Ad Placement Frequency and Success on the Sexual Health of “Men Seeking Men” on Craigslist , 2010, Journal of gay & lesbian social services.

[19]  William Eberle,et al.  Discovering Fraud in Online Classified Ads , 2013, FLAIRS.

[20]  Bryan Leighton Dawson,et al.  Sexual Strategies Theory and Internet Personal Advertisements , 2006, Cyberpsychology Behav. Soc. Netw..

[21]  Farshad Madani ‘Technology Mining’ bibliometrics analysis: applying network analysis and cluster analysis , 2015, Scientometrics.

[22]  Weijun Wang,et al.  Research characteristics and status on social media in China: A bibliometric and co-word analysis , 2015, Scientometrics.

[23]  P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[24]  Ludo Waltman,et al.  Software survey: VOSviewer, a computer program for bibliometric mapping , 2009, Scientometrics.

[25]  J. Parsons,et al.  Comparing three cohorts of MSM sampled via sex parties, bars/clubs, and Craigslist.org: implications for researchers and providers. , 2014, AIDS education and prevention : official publication of the International Society for AIDS Education.

[26]  Gohar Feroz Khan,et al.  Information technology management domain: emerging themes and keyword analysis , 2015, Scientometrics.

[27]  Chaomei Chen,et al.  CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature , 2006, J. Assoc. Inf. Sci. Technol..

[28]  A. Laudet,et al.  Multi-source recruitment strategies for advancing addiction recovery research beyond treated samples. , 2015, Journal of community psychology.

[29]  Leonidas C. Leonidou,et al.  Research into environmental marketing/management: a bibliographic analysis , 2011 .

[30]  Delvin Grant,et al.  Analysis of e-business models in real estate , 2014, Electron. Commer. Res..

[31]  Feng Zhu,et al.  Cannibalization and option value effects of secondary markets: Evidence from the US concert industry: Cannibalization and Option Value Effects , 2015 .

[32]  Russell M. Frazier A Cannon for Cooperation: A Review of the Interagency Cooperation Literature , 2014 .

[33]  C. Grov,et al.  Attitudes about and HIV risk related to the "most common place" MSM meet their sex partners: comparing men from bathhouses, bars/clubs, and Craigslist.org. , 2012, AIDS education and prevention : official publication of the International Society for AIDS Education.

[34]  Jianhua Hou,et al.  The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis , 2010 .

[35]  Kate L. Daunt,et al.  Craigslist Exposed: The Internet-Mediated Hookup , 2013, Journal of homosexuality.

[36]  Ronald Rousseau,et al.  Social network analysis: a powerful strategy, also for the information sciences , 2002, J. Inf. Sci..

[37]  Jennifer L. Bevan,et al.  "You've been on my mind ever since": A content analysis of expressions of interpersonal attraction in Craigslist.org's Missed Connections posts , 2016, Comput. Hum. Behav..

[38]  Michael I. Jordan,et al.  On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.

[39]  Chrysanthos Dellarocas,et al.  Attention Allocation in Information-Rich Environments: The Case of News Aggregators , 2013 .

[40]  Brian Joseph Gillespie,et al.  Searching for Love in all the “Write” Places: Exploring Internet Personals Use by Sexual Orientation, Gender, and Age , 2008, International journal of sexual health : official journal of the World Association for Sexual Health.

[41]  Aaron D. Levine,et al.  Compliance with donor age recommendations in oocyte donor recruitment advertisements in the USA. , 2013, Reproductive biomedicine online.

[42]  Jean Pierre Courtial,et al.  Qualitative models, quantitative tools and network analysis , 1989, Scientometrics.

[43]  Henry G. Small,et al.  Co-citation in the scientific literature: A new measure of the relationship between two documents , 1973, J. Am. Soc. Inf. Sci..

[44]  Anindya Ghose,et al.  Internet’s Dirty Secret: Assessing the Impact of Online Intermediaries on HIV Transmission , 2012, MIS Q..

[45]  Craig S. Fryer,et al.  Comparisons of three nicotine dependence scales in a multiethnic sample of young adult menthol and non-menthol smokers. , 2015, Drug and alcohol dependence.

[46]  Salvador del Barrio-García,et al.  Discovering prominent themes in integrated marketing communication research from 1991 to 2012: a co-word analytic approach , 2015 .

[47]  Tat Y. Chan,et al.  Consumer Search Activities and the Value of Ad Positions in Sponsored Search Advertising , 2015, Mark. Sci..

[48]  O. Persson,et al.  How to use Bibexcel for various types of bibliometric analysis , 2009 .

[49]  Jitendra Malik,et al.  Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[50]  Philip E. T. Lewis,et al.  Research Methods for Business Students , 2006 .

[51]  Feng Zhu,et al.  Cannibalization and Option Value Effects of Secondary Markets: Evidence from the US Concert Industry , 2014 .

[52]  Yue Chen,et al.  Towards an explanatory and computational theory of scientific discovery , 2009, J. Informetrics.