From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare

References

• Adaji I, Vassileva J (2016) Toward understanding user participation in stack overflow using profile data. Spiro E, ed. Internat. Conf. Soc. Informatics (Springer, Cham, Switzerland), 3–13.Google Scholar
• Adler PS, Kwon S-W (2002) Social capital: Prospects for a new concept. Acad. Management Rev. 27(1):17–40.Crossref, Google Scholar
• Anderson A, Huttenlocher D, Kleinberg J, Leskovec J (2013) Steering user behavior with badges. Proc. 22nd Internat. Conf. World Wide Web (ACM, New York), 95–106.Google Scholar
• Angeletou S, Rowe M, Alani H (2011) Modelling and analysis of user behaviour in online communities. Internat. Semantic Web Conf. (Springer-Verlag, Berlin, Heidelberg), 35–50.Google Scholar
• Arguello J, Butler BS, Joyce E, Kraut R, Ling KS, Rosé C, Wang X (2006) Talk to me: Foundations for successful individual-group interactions in online communities. Proc. SIGCHI Conf. Human Factors Comput. Systems (ACM, New York), 959–968.Google Scholar
• Bagozzi RP, Dholakia UM (2006) Open source software user communities: A study of participation in linux user groups. Management Sci. 52(7):1099–1115.Link, Google Scholar
• Bateman PJ, Gray PH, Butler BS (2011) The impact of community commitment on participation in online communities. Inform. Systems Res. 22(4):841–854.Google Scholar
• Beenen G, Ling K, Wang X, Chang K, Frankowski D, Resnick P, Kraut RE (2006) Using social psychology to motivate contributions to online communities. Comput.-Mediated Comm. 10(4):00.Google Scholar
• Bernstein MS, Monroy-Hernández A, Harry D, André P, Panovich K, Vargas GG (2011) 4chan and/b: An analysis of anonymity and ephemerality in a large online community. Proc. 5th Internat. Conf. Weblogs Soc. Media, Barcelona, Catalonia, Spain, 50–57.Google Scholar
• Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J. Machine Learn. Res. 3:993–1022.Google Scholar
• Brzozowski MJ, Sandholm T, Hogg T (2009) Effects of feedback and peer pressure on contributions to enterprise social media. Proc. ACM 2009 Internat. Conf. Supporting Group Work (ACM, New York), 61–70.Google Scholar
• Burke M, Marlow C, Lento T (2009) Feed me: Motivating newcomer contribution in social network sites. SIGCHI Conf. Human Factors Comput. Systems (ACM, New York), 945–954.Google Scholar
• Burtch G, Hong Y, Bapna R, Griskevicius V (2017) Stimulating online reviews by combining financial incentives and social norms. Management Sci. 64(5):2065–2082.Link, Google Scholar
• Byrd RH, Lu P, Nocedal J, Zhu C (1995) A limited memory algorithm for bound constrained optimization. SIAM J. Sci. Comput. 16(5):1190–1208.Crossref, Google Scholar
• Cassell J, Huffaker D, Tversky D, Ferriman K (2006) The language of online leadership: Gender and youth engagement on the Internet. Developmental Psych. 42(3):436–449.Crossref, Google Scholar
• Chai S, Das S, Rao HR (2011) Factors affecting bloggers’ knowledge sharing: An investigation across gender. J. Management Inform. Systems 28(3):309–342.Crossref, Google Scholar
• Chen T, Guestrin C (2016) Xgboost: A scalable tree boosting system. Proc. 22nd ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 785–794.Google Scholar
• Chen W, Wei X, Zhu K (2018) Engaging voluntary contributions in online communities: A hidden Markov model. Management Inform. Systems Quart. 42(1):83–100.Crossref, Google Scholar
• Cheng J, Danescu-Niculescu-Mizil C, Leskovec J (2015) Antisocial behavior in online discussion communities. Preprint, submitted April 2, https://arxiv.org/abs/1504.00680.Google Scholar
• Cheng R, Vassileva J (2006) Design and evaluation of an adaptive incentive mechanism for sustained educational online communities. User Model. User-Adapted Interaction 16(3–4):321–348.Crossref, Google Scholar
• Cramer M, Hayes G (2010) Acceptable use of technology in schools: Risks, policies, and promises. IEEE Pervasive Comput. 9(3):37–44.Crossref, Google Scholar
• Drenner S, Sen S, Terveen L (2008) Crafting the initial user experience to achieve community goals. Proc. 2008 ACM Conf. Recommender Systems (ACM, New York), 187–194.Google Scholar
• Faraj S, Johnson SL (2011) Network exchange patterns in online communities. Organ. Sci. 22(6):1464–1480.Link, Google Scholar
• Faraj S, Jarvenpaa SL, Majchrzak A (2011) Knowledge collaboration in online communities. Organ. Sci. 22(5):1224–1239.Link, Google Scholar
• Faraj S, Kudaravalli S, Wasko M (2015) Leading collaboration in online communities. Management Inform. Systems Quart. 39(2):393–412.Crossref, Google Scholar
• Ferri FJ, Pudil P, Hatef M, Kittler J (1994) Comparative study of techniques for large-scale feature selection. Machine Intelligence and Pattern Recognition, vol. 16 (Elsevier, Amsterdam), 403–413.Google Scholar
• Forte A, Bruckman A (2005) Why do people write for Wikipedia? Incentives to contribute to open–content publishing. Working paper, Georgia Institute of Technology, Atlanta.Google Scholar
• Friedman M, Meiselman D (1963) The relative stability of monetary velocity and the investment multiplier in the United States, 1897--1958. Brown EC, ed. Stabilization Policies (Prentice Hall, Englewood Cliffs, NJ), 165–268.Google Scholar
• Ghose A, Han S-P (2011) An empirical analysis of user content generation and usage behavior on the mobile Internet. Management Sci. 57(9):1671–1691.Link, Google Scholar
• Goes PB, Lin M, Au Yeung C-M (2014) “Popularity Effect” in user-generated content: Evidence from online product reviews. Inform. Systems Res. 25(2):222–238.Link, Google Scholar
• Goldstein JS, Pevehouse JC, Gerner DJ, Telhami S (2001) Reciprocity, triangularity, and cooperation in the middle east, 1979-97. J. Conflict Resolution 45(5):594–620.Crossref, Google Scholar
• Grewal R, Lilien GL, Mallapragada G (2006) Location, location, location: How network embeddedness affects project success in open source systems. Management Sci. 52(7):1043–1056.Link, Google Scholar
• Haines VA, Godley J, Hawe P (2011) Understanding interdisciplinary collaborations as social networks. Amer. J. Community Psych. 47(1–2):1–11.Crossref, Google Scholar
• Hay C, Meldrum R, Mann K (2010) Traditional bullying, cyber bullying, and deviance: A general strain theory approach. J. Contemporary Criminal Justice 26(2):130–147.Crossref, Google Scholar
• Healey B, Hoek J, Edwards R (2014) Posting behaviour patterns in an online smoking cessation social network: Implications for intervention design and development. PLoS One 9(9):e106603.Crossref, Google Scholar
• Hecking T, Chounta I-A, Hoppe HU (2015) Analysis of user roles and the emergence of themes in discussion forums. 2015 2nd Eur. Network Intelligence Conf. (ENIC) (IEEE, Piscataway, NJ), 114–121.Google Scholar
• Hemetsberger A (2002) Fostering cooperation on the Internet: Social exchange processes in innovative virtual consumer communities. Adv. Consumer Res. 29:354–356.Google Scholar
• Hew KF (2009) Determinants of success for online communities: An analysis of three communities in terms of members’ perceived professional development. Behav. Inform. Tech. 28(5):433–445.Crossref, Google Scholar
• Himelboim I, Gleave E, Smith M (2009) Discussion catalysts in online political discussions: Content importers and conversation starters. J. Comput.-Mediated Comm. 14(4):771–789.Crossref, Google Scholar
• Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput. 9(8):1735–1780.Crossref, Google Scholar
• Huang J, Dasgupta A, Ghosh A, Manning J, Sanders M (2014) Superposter behavior in MOOC forums. Proc. 1st ACM Conf. Learn. Scale Conf. (ACM, New York), 117–126.Google Scholar
• Huang Y, Singh PV, Ghose A (2015) A structural model of employee behavioral dynamics in enterprise social media. Management Sci. 61(12):2825–2844.Link, Google Scholar
• Huberman BA, Romero DM, Wu F (2009) Crowdsourcing, attention and productivity. J. Inform. Sci. 35(6):758–765.Crossref, Google Scholar
• Huffaker D (2010) Dimensions of leadership and social influence in online communities. Human Comm. Res. 36(4):593–617.Crossref, Google Scholar
• Hwang EH, Singh PV, Argote L (2015) Knowledge sharing in online communities: Learning to cross geographic and hierarchical boundaries. Organ. Sci. 26(6):1593–1611.Link, Google Scholar
• Hyndman RJ, Khandakar Y (2007) Automatic Time Series for Forecasting: The Forecast Package for R (Monash University, Department of Econometrics and Business Statistics).Google Scholar
• Interdonato R, Pulice C, Tagarelli A (2015) Got to have faith!: The devotion algorithm for delurking in social networks. Proc. 2015 IEEE/ACM Internat. Conf. Adv. Soc. Networks Anal. Mining 2015 (ACM, New York), 314–319.Google Scholar
• Interdonato R, Pulice C, Tagarelli A (2016) Community-based delurking in social networks. Proc. 2016 IEEE/ACM Internat. Conf. Adv. Soc. Networks Anal. Mining (IEEE, Piscataway, NJ), 263–270.Google Scholar
• Isaacs D (2014) Social media and communication. J. Paediatric Child Health 50(6):421–422.Crossref, Google Scholar
• Janzik L, Herstatt C (2008) Innovation communities: Motivation and incentives for community members to contribute. 4th IEEE Internat. Conf. Management Innovation Tech. 2008. ICMIT 2008 (IEEE, Piscataway, NJ), 350–355.Google Scholar
• Johnson SL, Safadi H, Faraj S (2015) The emergence of online community leadership. Inform. Systems Res. 26(1):165–187.Link, Google Scholar
• Joyce E, Kraut RE (2006) Predicting continued participation in newsgroups. J. Comput.-Mediated Comm. 11(3):723–747.Crossref, Google Scholar
• Kim AJ (2000) Community Building on the Web: Secret Strategies for Successful Online Communities (Addison-Wesley Longman Publishing Co., Inc., Boston).Google Scholar
• Kohler T, Fueller J, Matzler K, Stieger D (2011) Co-creation in virtual worlds: The design of the user experience. Management Inform. Systems Quart. 35(3):773–788.Crossref, Google Scholar
• Kokkodis M (2018) Dynamic recommendations for sequential hiring decisions in online labor markets. Proc. 24th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 453–461.Google Scholar
• Kokkodis M (2019a) Designing dynamic reputation systems for online labor markets. Working paper, Boston College, Boston.Google Scholar
• Kokkodis M (2019b) Reputation deflation through dynamic expertise assessment in online labor markets. World Wide Web Conf. (ACM, New York), 896–905.Google Scholar
• Kokkodis M, Ipeirotis PG (2016) Reputation transferability in online labor markets. Management Sci. 62(6):1687–1706.Link, Google Scholar
• Kokkodis M, Ransbotham S (2019) Asymmetric reputation spillover from agencies on digital platforms. Working paper, Boston College, Boston.Google Scholar
• Kokkodis M, Lappas T, Kane G (2019) Direct and indirect benefits of introducing purchase verification in e-commerce platforms: Evidence from a natural experiment. Working paper, Boston College, Boston.Google Scholar
• Koller D, Friedman N (2009) Probabilistic Graphical Models: Principles and Techniques (MIT Press, Cambridge, MA).Google Scholar
• Lampe C, Johnston E (2005) Follow the (slash) dot: Effects of feedback on new members in an online community. Proc. 2005 Internat. ACM SIGGROUP Conf. Supporting Group Work (ACM, New York), 11–20.Google Scholar
• Lampel J, Bhalla A (2007) The role of status seeking in online communities: Giving the gift of experience. J. Comput.-Mediated Comm. 12(2):434–455.Crossref, Google Scholar
• Lave J, Wenger E (1991) Situated Learning: Legitimate Peripheral Participation (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
• Le Q, Mikolov T (2014) Distributed representations of sentences and documents. Proc. Machine Learn. Res 32(2):1188–1196.Google Scholar
• Leimeister JM, Sidiras P, Krcmar H (2006) Exploring success factors of virtual communities: The perspectives of members and operators. J. Organ. Comput. Electronic Commerce 16(3-4):279–300.Crossref, Google Scholar
• Lin H-F, Lee G-G (2006) Determinants of success for online communities: An empirical study. Behav. Inform. Tech. 25(6):479–488.Crossref, Google Scholar
• Lu Y, Jerath K, Singh PV (2013) The emergence of opinion leaders in a networked online community: A dyadic model with time dynamics and a heuristic for fast estimation. Management Sci. 59(8):1783–1799.Link, Google Scholar
• Malinen S (2015) Understanding user participation in online communities: A systematic literature review of empirical studies. Comput. Human Behav. 46:228–238.Crossref, Google Scholar
• Mario C, Gould WW, Gutierrez RG, Marchenko Y (2008) An Introduction to Survival Analysis Using Stata (StataCorp LP, College Station, TX).Google Scholar
• Millington R (2012) Buzzing Communities: How to Build Bigger, Better, and More Active Online Communities (FeverBee, London).Google Scholar
• Molm LD, Schaefer DR, Collett JL (2007) The value of reciprocity. Soc. Psych. Quart. 70(2):199–217.Crossref, Google Scholar
• Moon JY, Sproull LS (2008) The role of feedback in managing the Internet-based volunteer work force. Inform. Systems Res. 19(4):494–515.Link, Google Scholar
• Murphy KP (2012) Machine Learning: A Probabilistic Perspective (MIT Press, Cambridge, MA).Google Scholar
• Nam KK, Ackerman MS, Adamic LA (2009) Questions in, knowledge in? A study of naver’s question answering community. Proc. SIGCHI Conf. Human Factors Comput. Systems (ACM, New York), 779–788.Google Scholar
• Nonnecke B, Preece J (2001) Why lurkers lurk. AMCIS 2001 Proc., 1521–1530.Google Scholar
• Oestreicher-Singer G, Zalmanson L (2013) Content or community? A digital business strategy for content providers in the social age. Management Inform. Systems Quart. 37(2):591–616.Crossref, Google Scholar
• Olteanu A, Weber I, Gatica-Perez D (2016) Characterizing the demographics behind the #blacklivesmatter movement. 2016 AAAI Spring Sympos Ser, 310–313.Google Scholar
• Ozturk P, Nickerson J (2015) Paths from talk to action. 36th Internat. Conf. Inform. Systems, Fort Worth, TX, 1–18.Google Scholar
• Pai P, Tsai H-T (2016) Reciprocity norms and information-sharing behavior in online consumption communities: An empirical investigation of antecedents and moderators. Inform. Management 53(1):38–52.Crossref, Google Scholar
• Patton DU, Eschmann RD, Butler DA (2013) Internet banging: New trends in social media, gang violence, masculinity and hip hop. Comput. Human Behav. 29(5):A54–A59.Crossref, Google Scholar
• Phang CW, Kankanhalli A, Tan BCY (2015) What motivates contributors vs. lurkers? An investigation of online feedback forums. Inform. Systems Res. 26(4):773–792.Link, Google Scholar
• Preece J (2001) Online communities: Usability, sociability, theory and methods. Earnshaw R, Guedj R, Van Dam A, Vince J, eds. Frontiers of Human-Centered Computing, Online Communities and Virtual Environments (Springer-Verlag, London), 263–277.Google Scholar
• Preece J, Shneiderman B (2009) The reader-to-leader framework: Motivating technology-mediated social participation. AIS Trans. Human-Comput. Interaction 1(1):13–32.Crossref, Google Scholar
• Ransbotham S, Kane GC, Lurie NH (2012) Network characteristics and the value of collaborative user-generated content. Marketing Sci. 31(3):387–405.Link, Google Scholar
• Ransbotham S, Lurie NH, Liu H (2019) Creation and consumption of mobile word of mouth: How are mobile reviews different? Marketing Sci. 38(5):773–792.Link, Google Scholar
• Ransbotham S, Fichman RG, Gopal R, Gupta A (2016) Ubiquitous it and digital vulnerabilities. Inform. Systems Res. 27(4):834–847.Link, Google Scholar
• Ray S, Kim SS, Morris JG (2014) The central role of engagement in online communities. Inform. Systems Res. 25(3):528–546.Link, Google Scholar
• Reagans R, McEvily B (2003) Network structure and knowledge transfer: The effects of cohesion and range. Admin. Sci. Quart. 48(2):240–267.Crossref, Google Scholar
• Ren Y, Harper FM, Drenner S, Terveen LG, Kiesler SB, Riedl J, Kraut RE (2012) Building member attachment in online communities: Applying theories of group identity and interpersonal bonds. Management Inform. Systems Quart. 36(3):841–864.Crossref, Google Scholar
• Ridings C, Gefen D, Arinze B (2006) Psychological barriers: Lurker and poster motivation and behavior in online communities. Comm. Assoc. Inform. Systems 18(1):Article 16.Google Scholar
• Saltz JS, Hiltz SR, Turoff M, Passerini K (2007) Increasing participation in distance learning courses. IEEE Internet Comput. 11(3):36–44.Crossref, Google Scholar
• Sapankevych NI, Sankar R (2009) Time series prediction using support vector machines: A survey. IEEE Comput. Intelligence Magazine 4(2):24–38.Crossref, Google Scholar
• Schneider A, Von Krogh G, JäGer P (2013) “Whats coming next?” Epistemic curiosity and lurking behavior in online communities. Comput. Human Behav. 29(1):293–303.Google Scholar
• Schwarz G (1978) Estimating the dimension of a model. Ann. Statist. 6(2):461–464.Crossref, Google Scholar
• Seraj M (2012) We create, we connect, we respect, therefore we are: Intellectual, social, and cultural value in online communities. J. Interactive Marketing 26(4):209–222.Crossref, Google Scholar
• Shen KN, Khalifa M (2007) Exploring multi-dimensional conceptualization of social presence in the context of online communities. Jacko JA, ed. Internat. Conf. Human-Comput. Interaction (Springer, Berlin, Heidelberg), 999–1008.Google Scholar
• Shevade SK, Keerthi SS, Bhattacharyya C, Murthy KRK (2000) Improvements to the SMO algorithm for SVM regression. IEEE Trans. Neural Networks 11(5):1188–1193.Crossref, Google Scholar
• Shriver SK, Nair HS, Hofstetter R (2013) Social ties and user-generated content: Evidence from an online social network. Management Sci. 59(6):1425–1443.Link, Google Scholar
• Sun N, Rau PP-L, Ma L (2014) Understanding lurkers in online communities: A literature review. Comput. Human Behav. 38:110–117.Crossref, Google Scholar
• Szmigin I, Canning L, Reppel AE (2005) Online community: Enhancing the relationship marketing concept through customer bonding. Internat. J. Service Indust. Management 16(5):480–496.Crossref, Google Scholar
• Tagarelli A, Interdonato R (2013) Who’s out there?: Identifying and ranking lurkers in social networks. Proc. 2013 IEEE/ACM Internat. Conf. Adv. Soc. Networks Anal. Mining (ACM, New York), 215–222.Google Scholar
• Tagarelli A, Interdonato R (2014) Lurking in social networks: Topology-based analysis and ranking methods. Soc. Network Analysis Mining 4(1):230.Crossref, Google Scholar
• Tagarelli A, Interdonato R (2015) Time-aware analysis and ranking of lurkers in social networks. Soc. Network Analysis Mining 5(1):46.Crossref, Google Scholar
• Tsai H-T, Bagozzi RP (2014) Contribution behavior in virtual communities: Cognitive, emotional, and social influences. Management Inform. Systems Quart. 38(1):143–163.Crossref, Google Scholar
• Van Mierlo T (2014) The 1% rule in four digital health social networks: An observational study. J. Medical Internet Res. 16(2):e33.Crossref, Google Scholar
• Viégas FB, Smith M (2004) Newsgroup crowds and authorlines: Visualizing the activity of individuals in conversational cyberspaces. Proc. 37th Annual Hawaii Internat. Conf. System Sci. 2004 (IEEE, Piscataway, NJ).Google Scholar
• Wang Y, Fesenmaier DR (2003) Assessing motivation of contribution in online communities: An empirical investigation of an online travel community. Electronic Marketing 13(1):33–45.Crossref, Google Scholar
• Wasko MM, Faraj S (2005) Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. Management Inform. Systems Quart. 29(1):35–57.Crossref, Google Scholar
• Wiertz C, de Ruyter K (2007) Beyond the call of duty: Why customers contribute to firm-hosted commercial online communities. Organ. Stud. 28(3):347–376.Crossref, Google Scholar
• Wikipedia. List of virtual communities with more than 1 million users. Accessed October 24, 2018, https://en.wikipedia.org/wiki/List_of_virtual_communities_with_more_than_1_million_users.Google Scholar
• Willard NE (2007) Cyberbullying and Cyberthreats: Responding to the Challenge of Online Social Aggression, Threats, and Distress (Research Press, Champaign, IL).Google Scholar
• Wise K, Hamman B, Thorson K (2006) Moderation, response rate, and message interactivity: Features of online communities and their effects on intent to participate. J. Comput.-Mediated Comm. 12(1):24–41.Crossref, Google Scholar
• Wu M (2018) The 90-9-1 rule in reality. Lithium technologies (online). Accessed October 24, 2018, https://lithosphere.lithium.com/t5/Science-of-Social-Blog/The-90-9-1-Rule-in-Reality/ba-p/5463.Google Scholar
• XGBoost (2018) Scalable and flexible gradient boosting. Accessed August 24, 2019, https://xgboost.ai/.Google Scholar
• Yoo Y, Alavi M (2004) Emergent leadership in virtual teams: What do emergent leaders do? Inform. Organ. 14(1):27–58.Crossref, Google Scholar
• Zeng X, Wei L (2013) Social ties and user content generation: Evidence from flickr. Inform. Systems Res. 24(1):71–87.Link, Google Scholar
• Zhang W, Watts SA (2008) Capitalizing on content: Information adoption in two online communities. J. Assoc. Inform. Systems 9(2):Article 3.Google Scholar