Identifying Factors Affecting Individual Perceived Credibility on SNS
Authors: 
Lihong Song, Jean Lai, Jianjun LiAuthors Info & Claims
Lihong Song, Jean Lai, Jianjun LiAuthors Info & ClaimsArticle No.: 2, Pages 1 - 11
Abstract
Social networking site (SNS) is increasingly attracting attentions of the public. Plenty modes of implications of SNSs have sprung up. However, potential risks such as false identity occur at the same time. Credibility of individual is one of an efficient and effective measurement to assess risks. To expand this measurement on SNS, this study conducted an online survey to investigate factors affecting credibility on SNS. Over 200 respondents participated to identify how six factors affect individual perceived credibility on SNS, including "real-world feel", "expertise", "trustworthiness", "ease to use", "physical attractiveness" and "commercial implication". Through doing statistical analysis of the 213 questionnaire respondents' data, this study explored the result which verified that all the factors had impact on credibility significantly instead of "real-world feel" and "physical attractiveness". The result of this study made contributions and suggested implications for the public and academics by identify factors affecting credibility on SNS.
References
[1]
Kang, Minjeong. "Measuring social media credibility: A study on a Measure of Blog Credibility." Institute for Public Relations (2010).
[2]
Castillo, Carlos, Marcelo Mendoza, and Barbara Poblete. "Predicting information credibility in time-sensitive social media." Internet Research 23.5 (2013): 560--588.
[3]
Kang, Byungkyu, Tobias Höllerer, and John O'Donovan. "Believe it or Not? Analyzing Information Credibility in Microblogs." Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015. ACM, 2015.
[4]
AlRubaian, Majed, et al. "A Multistage Credibility Analysis Model for Microblogs." Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015. ACM, 2015.
[5]
Ohanian, Roobina. "Construction and validation of a scale to measure celebrity endorsers' perceived expertise, trustworthiness, and attractiveness."Journal of advertising (1990): 39--52.
[6]
Faculak, Natalie, and Sandi Karman. "Social Presence on LinkedIn: Perceived Credibility and Interpersonal Attractiveness Based on User Profile Picture Chad Edwards, Western Michigan University, USA Brett Stoll, Western Michigan University, USA." Online Journal of Communication and Media Technologies 5.4 (2015).
[7]
Subrahmanyam, Kaveri, et al. "Online and offline social networks: Use of social networking sites by emerging adults." Journal of Applied Developmental Psychology 29.6 (2008): 420--433.
[8]
Madden Mary and Amanda Lenhart. "Social networking websites and teens: An overview." (2011).
[9]
Ellison, Nicole B. "Social network sites: Definition, history, and scholarship."Journal of Computer- Mediated Communication 13.1 (2007): 210--230.
[10]
Cheung, Christy MK, Pui-Yee Chiu, and Matthew KO Lee. "Online social networks: why do students use Facebook?." Computers in Human Behavior27.4 (2011): 1337--1343.
[11]
Ross, Craig, et al. "Personality and motivations associated with Facebook use." Computers in human behavior 25.2 (2009): 578--586.
[12]
Ellison, Nicole B., Charles Steinfield, and Cliff Lampe. "The benefits of Facebook "friends:" Social capital and college students' use of online social network sites." Journal of Computer- Mediated Communication 12.4 (2007): 1143--1168.
[13]
Salomon, Danielle. "Moving on from Facebook Using Instagram to connect with undergraduates and engage in teaching and learning." College & Research Libraries News 74.8 (2013): 408--412.
[14]
Silva, Thiago H., et al. "A picture of Instagram is worth more than a thousand words: Workload characterization and application." Distributed Computing in Sensor Systems (DCOSS), 2013 IEEE International Conference on. IEEE, 2013.
[15]
Lowdown, Business Intelligence. "Top 10 largest databases in the world."Business Intelligence Lowdown (2007).
[16]
Gill, Phillipa, et al. "Youtube traffic characterization: a view from the edge."Proceedings of the 7th ACM SIGCOMM conference on Internet measurement. ACM, 2007.
[17]
H. Zhang. "Research on university library information service based on platform of Wechat," Journal of agricultural information, no. 8, pp. 155--157, 2014.
[18]
Gao, Feng, and Ying Zhang. "Analysis of WeChat on iPhone." 2nd International Symposium on Computer, Communication, Control and Automation. Atlantis Press, 2013.
[19]
Tencent. (2014, March 19). Tencent announces 2013 fourth quarter and annual results. {Online}. Available:
[20]
http://www.tencent.com/en-us/content/ir/news/2014/attachments/20140319.pdf.
[21]
Cao, Belinda. "Sina's Weibo outlook buoys internet stock gains: China overnight. Bloomberg." (2012).
[22]
Gaziano, Cecilie, and Kristin McGrath. "Measuring the concept of credibility."Journalism Quarterly 63.3 (1986): 451--462.
[23]
Metzger, Miriam J., et al. "Credibility for the 21st century: Integrating perspectives on source, message, and media credibility in the contemporary media environment." Communication yearbook 27 (2003): 293--336.
[24]
Fogg, B. J., et al. "What makes Web sites credible?: a report on a large quantitative study." Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, 2001.
[25]
Fogg, B. J., and Hsiang Tseng. "The elements of computer credibility."Proceedings of the SIGCHI conference on Human Factors in Computing Systems. ACM, 1999.
[26]
Petty, Richard E., and John T. Cacioppo. Attitudes and persuasion: Classic and contemporary approaches. Westview Press, 1996.
[27]
Stacks, Don W., and Michael B. Salwen, eds. An integrated approach to communication theory and research. Routledge, 2014.
[28]
Hardin, Curtis D., and E. Tory Higgins. "Shared reality: How social verification makes the subjective objective." (1996).
[29]
Johnson, Thomas J., and Barbara K. Kaye. "Credibility of social network sites for political information among politically interested Internet users." Journal of Computer- Mediated Communication 19.4 (2014): 957--974.
[30]
Metzger, Miriam J. "Making sense of credibility on the Web: Models for evaluating online information and recommendations for future research."Journal of the American Society for Information Science and Technology58.13 (2007): 2078--2091.
[31]
Whitehead Jr, Jack L. "Factors of source credibility." Quarterly Journal of Speech 54.1 (1968): 59--63.
[32]
Birnbaum, Michael H., and Steven E. Stegner. "Source credibility in social judgment: Bias, expertise, and the judge's point of view." Journal of Personality and Social Psychology 37.1 (1979): 48.
[33]
Gil, Yolanda, and Donovan Artz. "Towards content trust of web resources."Web Semantics: Science, Services and Agents on the World Wide Web 5.4 (2007): 227--239.
[34]
Tseng, Shawn, and B. J. Fogg. "Credibility and computing technology."Communications of the ACM 42.5 (1999): 39--44.
[35]
Berdichevsky, Daniel, and Erik Neuenschwander. "Toward an ethics of persuasive technology." Communications of the ACM 42.5 (1999): 51--58.
[36]
Woolley, Julia K., Anthony M. Limperos, and Mary Beth Oliver. "The 2008 presidential election, 2.0: A content analysis of user-generated political Facebook groups." Mass Communication and Society 13.5 (2010): 631--652.
[37]
Miller, Gerald R., and John Baseheart. "Source trustworthiness, opinionated statements, and response to persuasive communication." (1969): 1--7.
[38]
Johnson, Thomas J., and Barbara K. Kaye. "In blog we trust? Deciphering credibility of components of the internet among politically interested internet users." Computers in Human Behavior 25.1 (2009): 175--182.
[39]
Venkatesh, Viswanath. "Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model." Information systems research 11.4 (2000): 342--365.
[40]
Davis, Fred D. "Perceived usefulness, perceived ease of use, and user acceptance of information technology." MIS quarterly (1989): 319--340.
[41]
Crunch Network. (2013, Dec. 29). Facebook's Cutesy Annual Report to Partners Reveals First Country-By-Country Mobile Stats. {Online}. Available:
[42]
http://techcrunch.com/2013/12/29/facebook-international-user-growth/?ncid=tcdaily
[43]
Barnard, Anne. "MySpace agrees to lead fight to stop sex predators." New York Times (2008).
[44]
George, Alison. "Living online: The end of privacy." New Scientist 2569 (2006): 1--50.
[45]
Hodge, Matthew J. "Fourth amendment and privacy issues on the new internet: Facebook. com and myspace. com, the." S. Ill. ULJ 31 (2006): 95.
[46]
Baker, Michael J., and Gilbert A. Churchill Jr. "The impact of physically attractive models on advertising evaluations." Journal of Marketing research(1977): 538--555.
[47]
Chaiken, Shelly. "Communicator physical attractiveness and persuasion."Journal of Personality and social Psychology 37.8 (1979): 1387.
[48]
Joseph, W. Benoy. "The credibility of physically attractive communicators: A review." Journal of advertising 11.3 (1982): 15--24.
[49]
Kahle, Lynn R., and Pamela M. Homer. "Physical attractiveness of the celebrity endorser: A social adaptation perspective." Journal of consumer research (1985): 954--961.
[50]
Mills, Judson, and Elliot Aronson. "Opinion change as a function of the communicator's attractiveness and desire to influence." Journal of Personality and Social Psychology 1.2 (1965): 173.
[51]
Widgery, Robin N., and Richard S. Ruch. "Beauty and the Machiavellian."Communication Quarterly 29.4 (1981): 297--301.
[52]
Simons, Herbert W., Nancy N. Berkowitz, and R. John Moyer. "Similarity, credibility, and attitude change: A review and a theory." Psychological Bulletin 73.1 (1970): 1.
[53]
Zebrowitz, Leslie A., and Joann M. Montepare. "Social psychological face perception: Why appearance matters." Social and Personality Psychology Compass 2.3 (2008): 1497--1517.
[54]
Oosterhof, Nikolaas N., and Alexander Todorov. "The functional basis of face evaluation." Proceedings of the National Academy of Sciences 105.32 (2008): 11087--11092.
[55]
Rahm, Erhard, and Hong Hai Do. "Data cleaning: Problems and current approaches." IEEE Data Eng. Bull. 23.4 (2000): 3--13.
[56]
Huber, D. "Exploratory Factor Analysis, The COE Faculty Research Center Modified and Updated for EPS 624/725 by: Robert A. Horn &William Martin (sp. 08)." (2012).
[57]
George, Darren. SPSS for windows step by step: A simple study guide and reference, 17.0 update, 10/e. Pearson Education India, 2003.
[58]
Harrington, Donna. Confirmatory factor analysis. Oxford University Press, USA, 2008.
[59]
Green, Paul E., and Venkatachary Srinivasan. "Conjoint analysis in consumer research: issues and outlook." Journal of consumer research (1978): 103--123.
[60]
Marx, Morris L., and Richard J. Larsen. Introduction to mathematical statistics and its applications. Pearson/Prentice Hall, 2006.
[61]
Rooney, Anne. The Story of Mathematics. Arcturus Publishing, 2009.
[62]
Van Belle, Gerald. Statistical rules of thumb. Vol. 699. John Wiley & Sons, 2011.
[63]
Andy Field. 2009. Discovering Statistics Using SPSS (Third Edition)
Recommendations
What makes Web sites credible?: a report on a large quantitative study
CHI '01: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsThe credibility of web sites is becoming an increasingly important area to understand. To expand knowledge in this domain, we conducted an online study that investigated how different elements of Web sites affect people's perception of credibility. Over ...
Factors and effects of information credibility
ICEC '07: Proceedings of the ninth international conference on Electronic commerceWebsite success hinges on how credible the consumers consider the information on the website. Unless consumers believe the website's information is credible, they are not likely to be willing to act on the advice and will not develop loyalty to the ...
How do credibility and utility play in the user experience of health informatics services?
While the use of health informatics is increasing in health care, how it is improving health care and how users accept the services has been little studied, and due to increasing uncertainty, credibility has become a key determinant of health ...
Comments
Information & Contributors
Information
Published In
August 2016
371 pages
ISBN:9781450341295
DOI:10.1145/2955129
Copyright © 2016 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
In-Cooperation
- Facebook: Facebook
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 15 August 2016
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
MISNC, SI, DS 2016
MISNC, SI, DS 2016: The 3rd Multidisciplinary International Social Networks Conference, SocialInformatics 2016, Data Science 2016
August 15 - 17, 2016
NJ, Union, USA
Acceptance Rates
MISNC, SI, DS 2016 Paper Acceptance Rate 57 of 97 submissions, 59%;
Overall Acceptance Rate 57 of 97 submissions, 59%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 175Total Downloads
- Downloads (Last 12 months)14
- Downloads (Last 6 weeks)3
Reflects downloads up to 18 Aug 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in