ABSTRACT
Increasingly, the advice people receive on the Internet is socially transparent in the sense that it displays contextual information about the advice-givers or their actions. We hypothesize that activity transparency -seeing an advice giver's process while creating his or her recommendations - will increase advice taking. We report three experiments testing the effect of activity transparency on taking mediocre advice. We found that the presence of a web history increased the likelihood of following a financial advisor's advice and reduced participant earnings (Exp. 1), especially when the web history implied greater task focus (Exp. 2, 3). CSCW research usually emphasizes how to increase information sharing; this work suggests when shared information may be inappropriate. We suggest ways to counter activity transparency's potential downsides.
- Allen, D. G., Van Scotter, J. R., & Otondo, R. F. (2004). Recruitment communication media: impact on pre-hire outcomes. Personnel Psychology, 57, 143--171.Google ScholarCross Ref
- Baron, R. M., & Kenny, D. A. (1986). The moderator mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173--1182.Google ScholarCross Ref
- Bates, D., Maechler, M., Bolker, B., Walker, S. (2014). Linear mixed-effects models using Eigen and S4, version 1.0-6 {computer software}. Available from: http://cran.rproject.org/web/packages/lme4/index.html.Google Scholar
- Bornstein, R. F. (1989). Exposure and Affect: Overview and Meta-Analysis of Research, 1986-1987. Psychological Bulletin, 106, 265--289.Google Scholar
- Bornstein, R. F., & D'Agostino, P. R. (1992) Stimulus Recognition and the Mere Exposure Effect. Journal of Personality and Social Psychology, 63, 545--552.Google ScholarCross Ref
- Bonhard, P., Harries, C., McCarthy, J., & Sasse, M. A. (2006). Accounting for taste: using profile similarity to improve recommender systems. In Proceedings of CHI '06, 1057--1066. New York: ACM. Google ScholarDigital Library
- Brenoff, A. (2013). What bad advice did this heart attack survivor get? Huffington Post. Retrieve from: http://www.huffingtonpost.com/2013/09/24/onlinemyths_n_3954799.htmlGoogle Scholar
- Briggs, P., Burford, B., De Angeli, A., & Lynch, P. (2002). Trust in online advice. Social Science & Computing Review 20, 3, 321--332. Google ScholarDigital Library
- Cain, D. M., Loewenstein, G., & Moore, D. A. (2005). The Dirt on Coming Clean: Perverse Effects of Disclosing Conflicts of Interest. Journal of Legal Studies, 34, 1, 1--25.Google ScholarCross Ref
- Campbell, J. & Stasser, G. (2006). The Influence of Time and Task Demonstrability on Decision-Making in Computer-Mediated and Face-to-Face Groups. Small Group Research, 37, 217--294.Google ScholarCross Ref
- Casaló, L. V., Flavián, C., & Guinalíu, M. (2011). Understanding the intention to follow the advice obtained in an online travel community. Computers in Human Behaviors, 27, 2, 622--633. Google ScholarDigital Library
- Chung, M., Oden, R. P., Joyner, B. L., Sims, A., & Moon, R. Y. (2012). Safe Infant Sleep Recommendations on the Internet: Let's Google It. Journal of Pediatrics, 161(6), 1080--1084.Google ScholarCross Ref
- Coker, B. (2011). Freedom to surf: the positive effects of workplace Internet leisure browsing. New Technology, Work and Employment, 26, 238--247.Google ScholarCross Ref
- Cramer, H., Evers, V., Ramlal, S., van Someren, H., Rutledge, L., Stash, N., Aroyo, L., & Wielinga, B. (2008). The effects of transparency on trust in and acceptance of a content-based art recommender. User Model User-Adap Inter, 18, 455--496. Google ScholarDigital Library
- Crocco A. G., Villasis-Keever M., & Jadad A. R. (2002). Analysis of cases of harm associated with use of health information on the Internet. Journal of American Medical Association, 287(21), 2869--2871.Google ScholarCross Ref
- Dabbish, L., Stuart, C., Tsay, J., & Herbsleb, J. (2012). Social coding in GitHub: transparency and collaboration in an open software repository. Proc. CSCW '12, 1277--1286. Google ScholarDigital Library
- De Alfaro, L., Kulshreshtha, A., Pye, I., & Adler. B. T. (2011). Reputation systems for open collaboration. Commun. ACM 54, 8, 81--87. Google ScholarDigital Library
- Dembroski, T. M., Lasater, T. M. & Ramirez, A. (1978). Communicator Similarity, Fear Arousing Communications, and Compliance with Health Care Recommendations. Journal of Applied Social Psychology, 8, 254--269.Google ScholarCross Ref
- Erickson, T. & Kellogg, W.A (2000). Social translucence: An approach to designing systems that support social processes. Proc. CHI'00, 59--83. Google ScholarDigital Library
- Erickson, T., Smith, D. N., Kellogg, W. A., Laff, M., Richards, J. T., & Bradner, E. (1999). Socially translucent systems: social proxies, persistent conversation, and the design of "babble". Proc. CHI '99, 72--79. Google ScholarDigital Library
- Fogg, B. J., Marshall, J., Laraki, O., Osipovich, A., Varma, C., Fang, N., Paul, J., Rangnekar, A., Shon, J., Swani, P., & Treinen, M. (2001). What makes Web sites credible? a report on a large quantitative study. Proc. CHI '01, 61--68. Google ScholarDigital Library
- Fogg, B. J., Tseng, H. (1999). The elements of computer credibility. Proc. CHI'99, 80--87. Google ScholarDigital Library
- Fox, S., & Duggan, M. (2013). One in three American adults have gone online to figure out a medical condition. Pew Internet & American Life Project. Retrieve from: http://pewinternet.org/Reports/2013/Healthonline/Summary-of-Findings.aspx.Google Scholar
- Gilbert, E. (2012). Designing social translucence over social networks. Proc. CHI '12, 2731--2740. Google ScholarDigital Library
- Gino, F. (2008). Do we listen to advice just because we paid for it? The impact of advice cost on its use. Organizational Behavior and Human Decision Processes, 107, 234--245.Google ScholarCross Ref
- Godek, B., & Murray, K. B. (2008). Willingness to pay for advice: The role of rational and experiential processing. Organizational Behavior and Human Decision Processes, 106, 1, 77--87.Google ScholarCross Ref
- Golbeck, J. & Fleischmann, K. R. (2010). Trust in social Q&A: the impact of text and photo cues of expertise. In Proc. ASIS&T '10, 47, Article 77, 10 pages. Google ScholarDigital Library
- Griffin, D., Gonzalez, R., Varey, C. (2001). The heuristics and biases approach to judgment under uncertainty. In Blackwell Handbook of Social Psychology: Intraindividual Procresses (A. Tesser & N. Schwarz Eds.), 207--235.Google ScholarCross Ref
- Hancock, J. & Dunham, P (2001). Impression formation in computer-mediated communication revisited: An analysis of the breath and intensity of impressions. Communication Research, 28, 3, 325--347.Google ScholarCross Ref
- Hu, F. B., Goldberg, J., Hedeker, D., Flay, B. F., & Pentz, M. A. (1998). Comparison of Population-Averaged and Subject-Specific Approaches for Analyzing Repeated Binary Outcomes. American Journal of Epidemiology, 147, 7, 694--704.Google ScholarCross Ref
- Janiszewski, C., & Meyvis, T. (2001). Effect of brand logo complexity, repetition, and spacing on processing fluency and judgement. Journal of Consumer Research, 28, 1, 18--32.Google ScholarCross Ref
- Kinnaird, P., Dabbish, L., & Kiesler, S. (2012). Workflow transparency in a microtask marketplace. Proc. GROUP '12, 281--284. Google ScholarDigital Library
- Kittur, A., Suh, B., & Chi, E. H. (2008). "Can You Ever Trust a Wiki?". Proc. CSCW'08, 477.Google ScholarDigital Library
- Lee, U., Kang, H., Yi, E., Yi, M., & Kantola, J. (2012). Understanding mobile Q&A usage: an exploratory study. Proc CHI '12, 3215--3224. Google ScholarDigital Library
- Loewenstein, G., Cain, D. M., Sah, S. (2011). The Limits of Transparency: Pitfalls and Potential of Disclosing Conflicts of Interest. American Economic Review, 101, 3, 423--428.Google ScholarCross Ref
- Nisbett, R. & Lee, R. (1980). Human Inference: Strategies and Shortcomings of Social Judgment. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
- Marlow, J., Dabbish, L. & Herbsleb, J. (2013). Impression formation in online peer production: activity traces and personal profiles in github. Proc. CSCW '13, 117--128. Google ScholarDigital Library
- Mas, A. and Moretti, E. (2009). Peers at work. American Economic Review, 99, 1, 112--145.Google ScholarCross Ref
- Meyer, J. R. & Mitchell, J. C. (2012). Third-party web tracking: policy and technology. Proc. SP 2012, 413--427. Google ScholarDigital Library
- Meyer, P. (1988). Defining and measuring credibility of news-papers: Developing an index. Journalism Quarterly, 65, 567--574.Google ScholarCross Ref
- O'Reilly, D. (2011, Nov 1st). How to know who is tracking your web activities. CNET Tech Culture. Retrieved from: http://www.cnet.com/how-to/how-to-know-who-is-tracking-your-web-activities/Google Scholar
- Pearson, S. D., Kleinman, K., & Rusinak. D. (2006). A Trial of Disclosing Physicians' Financial Incentives to Patients. Archives of Internal Medicine, 166, 623--628.Google ScholarCross Ref
- Petty, R. E., & Cacioppo, J. T. (1986). The Elaboration Likelihood Model of Persuasion. In Communication and Persuasion - Springer Series in Social Psychology, pp. 1--24. New York, NY: Springer.Google Scholar
- Petty, R. E., & Cacioppo, J. T. (1977). Forewarning, cognitive responding, and resistance to persuasion. Journal of Personality and Social Psychology, 35, 9, 645--655.Google ScholarCross Ref
- Pirolli, P., Wollny, E., & Suh. B. (2009). "So You Know You're Getting the Best Possible Information: A Tool that Increases Wikipedia Credibility." Proc. CHI'09, 1505. Google ScholarDigital Library
- Preacher, K. J., & Hayes, A. F. (2007). Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions. Multivariate Behavioral Research, 42, 1, 185--227.Google ScholarCross Ref
- Riegelsberger, J., & Sasse, M. A. (2001). Trustbuilders and trustbusters: The role of trust cues in interfaces to e-commerce applications {WWW page}. Paper presented at the 1st IFIP Conference on E-commerce, E-business, E-government. Available: http://www.cs.ucl.ac.uk/staff/J.Riegelsberger/trustbuilders_and_trustbusters.htm Google ScholarDigital Library
- Scupelli, P., Kiesler, S., & Fussell, S. R. (2005). Project view IM: A tool for juggling multiple projects and teams. Proc. CHI'05, 1773. Google ScholarDigital Library
- Shapiro, S. (1999). When an Ad's Influence Is beyond Our Conscious Control: Perceptual and Conceptual Fluency Effects Caused by Incidental Ad Exposure. Journal of Consumer Research, 26, 16--36.Google ScholarCross Ref
- Sillence, E., Briggs, P., Harris, P., & Fishwick. L. (2006). A framework for understanding trust factors in web-based health advice. International Journal of Human-Computer Studies 64, 8, 697--713. Google ScholarDigital Library
- Sobel, M. E. (1982). Asymptotic intervals for indirect effects in structural equations models. In S. Leinhart (Ed.), Sociological methodology (pp.290--312). San Francisco: Jossey-Bass.Google ScholarCross Ref
- Slusher, M. P., & Anderson, C. A. (1996). Using causal persuasive arguments to change beliefs and teach new information: The mediating role of explanation availability and evaluation bias in the acceptance of knowledge. Journal of Educational Psychology, 88, 110--122.Google ScholarCross Ref
- Srull, T. K., Lichtenstein, M., & Rothbart, M. (1985). Associative storage and retrieval processes in person memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 11, 2, 316--345.Google ScholarCross Ref
- Steel, E. and Fowler, G. Facebook in privacy breach. Wall Street Journal, 2010.Google Scholar
- Stuart, H. C., Dabbish, L., Kiesler, S., Kinnaird, P., & Kang, R. (2012). Social transparency in networked information exchange: a theoretical framework. Proc. of CSCW '12, 451--460. Google ScholarDigital Library
- Suh, B., Chi, E.H., Kittur, A., and Pendleton, B.A. Lifting the veil: Improving accountability and social transparency in Wikipedia with wikidashboard. Proc. CHI '08, 1037--1040. Google ScholarDigital Library
- Tversky, A. & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive psychology, 5, 2, 207--232.Google Scholar
- Tausczik, Y. R., & Pennebaker, J. W. (2011). Predicting the perceived quality of online mathematics contributions from users' reputations. Proc. CHI '11, 1885--1888. Google ScholarDigital Library
- Toma, C. L. (2010). Perceptions of trustworthiness online: the role of visual and textual information. In Proc. CSCW '10, 13--22. New York, NY: ACM. Google ScholarDigital Library
- Towne, B. W., Kittur, A., Kinnaird, P., & Herbsleb, J. (2013). Your process is showing: controversy management and perceived quality in Wikipedia. Proc. of CSCW '13, 1059--1068. Google ScholarDigital Library
- Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance. Psychological review, 117, 2, 440--463.Google Scholar
- Viégas, F.B., Wattenberg, M., and Dave, K. Studying cooperation and conflict between authors with history flow visualizations. Proc. CHI '04, 575--582. Google ScholarDigital Library
- Zajonc, R. (1968). Attitudinal effects of mere exposure. Journal of Personality and Social Psychology, 9, 2, 1--27.Google ScholarCross Ref
Index Terms
- The Perverse Effects of Social Transparency on Online Advice Taking
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