Advertisement

Providing Tools to Enable Information Audit in Social Networks

  • Alexandre PinheiroEmail author
  • Claudia Cappelli
  • Cristiano Maciel
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 529)

Abstract

In the moment that social networks arise as a new source of information, we also started to concern about the information shared in this environment. It is difficult to users of social networks to distinguish the accuracy of the information spreaded. The combination of auditability features and research directions in human-computer interaction area will guide the development of tools for evaluating information. We present prototypes of tools that once available, will allow users to decide about the credibility of information that they access and share.

Keywords

Auditability Social networks User tools 

References

  1. 1.
    Abbasi, M.-A., Liu, H.: Measuring user credibility in social media. In: Greenberg, A.M., Kennedy, W.G., Bos, N.D. (eds.) SBP 2013. LNCS, vol. 7812, pp. 441–448. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  2. 2.
    Lampe, C., Vitak, J., Gray, R., Ellison, N.: Perceptions of facebook’s value as an information source. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 3195–3204. ACM (2012)Google Scholar
  3. 3.
    Chi, E.H.: The social web: research and opportunities. IEEE Comput. 41(9), 88–91 (2008). http://dx.doi.org/10.1109/MC.2008.401
  4. 4.
    Cysneiros, L.M.: Evaluating the effectiveness of using catalogues to elicit non-functional requirements. In: WER, pp. 107–115 (2007)Google Scholar
  5. 5.
    Chung, L., Nixon, B.A., Yu, E., Mylopoulos, J.: Non-Functional Requirements in Software Engineering. International Series in Software Engineering, vol. 5, Springer, Heidelberg (2000). http://dx.doi.org/10.1007/978-1-4615-5269-7
  6. 6.
    Cappelli, C.: An Approach for Business Processes Transparency Using Aspects. Dissertation, Pontifícia Universidade Católica do Rio de Janeiro (2009)Google Scholar
  7. 7.
    Leite, J.C., Cappelli, C.: Software transparency. Bus. Inf. Syst. Eng. 2(3), 127–139 (2010)CrossRefGoogle Scholar
  8. 8.
    Pinheiro, A., Cappelli, C., Maciel, C.: Increasing information auditability for social network users. In: Yamamoto, S. (ed.) HCI 2014, Part I. LNCS, vol. 8521, pp. 536–547. Springer, Heidelberg (2014)Google Scholar
  9. 9.
    Da Rocha, H.V., Baranauskas, M.: Design e avaliação de interfaces humano-computador. Unicamp (2003)Google Scholar
  10. 10.
    Rieh, S.: Judgment of information quality and cognitive authority in the web. J. Am. Soc. Inf. Sci. Technol. 53(2), 145–161 (2002)CrossRefGoogle Scholar
  11. 11.
    Metzger, M.J.: Making sense of credibility on the web: models for evaluating online information and recommendations for future research. J. Am. Soc. Inf. Sci. Technol. 58(13), 2078–2091 (2007)CrossRefGoogle Scholar
  12. 12.
    Nielsen, J.: Heuristic evaluation. In: Nielsen, J., Mack, R.L. (eds.) Usability Inspection Methods, vol. 17, Issue 1, pp. 25–62. Wiley, New York (1994)Google Scholar
  13. 13.
    Tate, M.A.: Web Wisdom: How to Evaluate and Create Information Quality on the Web. CRC Press, Boca Raton (2009)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Alexandre Pinheiro
    • 1
    Email author
  • Claudia Cappelli
    • 1
  • Cristiano Maciel
    • 2
  1. 1.Universidade Federal do Estado do Rio de Janeiro - UNIRIORio de JaneiroBrazil
  2. 2.Universidade Federal de Mato Grosso - UFMTCuiabáBrazil

Personalised recommendations