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Moderation Techniques for Social Media Content

  • Andreas Veglis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8531)

Abstract

Social media are perhaps the most popular services of cyberspace today. The main characteristic of social media is that they offer to every internet user the ability to add content and thus contribute to participatory journalism. The problem in that this content must be checked as far as quality is concerned and in order to avoid legal issues. This can be accomplished with the help of moderation. The problem is that moderation is a complex process that in many cases requires substantial human resources. This paper studies the moderation process and proposes a moderation model that can guarantee the quality of the content while retaining cost at an affordable level. The model includes various moderation stages which determine the applied moderation technique depending on the publication record of the user that submits the content.

Keywords

Social Media moderation hybrid moderation pre-moderation post moderation distributed moderation 

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References

  1. 1.
    An, J., Cha, M., Gummadi, K., Crowcroft, J.: Media landscape in Twitter: A world of new conventions and political diversity. Artificial Intelligence 6(1), 18–25 (2011)Google Scholar
  2. 2.
    Spyridou, L.P., Veglis, A.: Political Parties and Web 2.0 tools: A Shift in Power or a New Digital Bandwagon? International Journal of Electronic Governance 4(1/2), 136–155 (2011)CrossRefGoogle Scholar
  3. 3.
    Kaplan, A.M., Haenlein, M.: Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons 53(1), 59–68 (2010)CrossRefGoogle Scholar
  4. 4.
    Veglis, A., Pomportsis, A.: The e-citizen in the cyberspace – a journalism aspect. In: Texts and Articles from the 5th International Conference on Information Law (ICIL 2012) (2013)Google Scholar
  5. 5.
    Boyd, D.M., Ellison, N.B.: Social Network Sites: Definition, History, and Scholarship. Journal of Computer-Mediated Communication 13(1), 210–230 (2008)CrossRefGoogle Scholar
  6. 6.
    Veglis, A.: Journalism and Cross Media Publishing: The case of Greece. In: Siapera, E., Veglis, A. (eds.) The Wiley-Blackwell Handbook of Online Journalism. Blackwell Publishing (2012)Google Scholar
  7. 7.
    Bowman, S., Willis, C.: We Media: How Audiences are Shaping the Future of News and Information. The Media Center at the American Press Institute (2003), http://www.hypergene.net/wemedia/download/we_media.pdf
  8. 8.
    Singer, J.B., Hermida, A., Domingo, D., Heinonen, A., Paulussen, S., Quandt, T., Reich, Z., Vujnovic, M.: Participatory Journalism-Guarding Open Gates at Online Newspapers. Wiley-Blackwell (2011)Google Scholar
  9. 9.
    White, D.M.: The gatekeeper: A case study in the selection of news. Journalism Quarterly 27, 383–396 (1950)Google Scholar
  10. 10.
    Hermida, A., Thurman, N.: A clash of cultures: the integration of user generated content within professional journalistic frameworks at British newspaper web sites. Journalism Practice 2(3), 342–356 (2008)CrossRefGoogle Scholar
  11. 11.
    Singer, J.B.: Taking Responsibility: Legal and ethical issues in participatory journalism. In: Singer, J.B., Hermida, A., Domingo, D., Heinonen, A., Paulussen, S., Quandt, T., Reich, Z., Vujnovic, M. (eds.) Participatory Journalism-Guarding Open Gates at Online Newspapers. Wiley-Blackwell (2011)Google Scholar
  12. 12.
    Prescott, B.: Social Sign-On: What is it and How Does It Benefit Your Web Site? Social Technology Review (January 10, 2011), http://www.socialtechnologyreview.com/articles/social-sign-what-it-and-how-does-it-benefit-your-web-site
  13. 13.
    Grossman, L.: Computer Literacy Tests: Are You Human? Time (Magazine) (2008), http://www.time.com/time/magazine/article/0,9171,1812084,00.html
  14. 14.
    ABC, Moderating User Generated Content, Guidance Note (2011), http://www.abc.net.au/corp/pubs/documents/GNModerationINS.pdf
  15. 15.
    Grimes-Viort, B.: 6 types of content moderation you need to know about, Blasise Grimes-Viort – Online Communities & Social Media (December 6, 2010), http://blaisegv.com/community-management/6-types-of-content-moderation-you-need-to-know-about/
  16. 16.
    Lampe, C., Resnick, P.: Slash(dot) and Burn: Distributed Moderation in a Large Online Conversation Space. In: Proc. of ACM Computer Human Interaction Conference 2004, Vienna, Austria (2004)Google Scholar
  17. 17.
    Momeni, E.: Semi-Automatic Semantic Moderation of Web Annotations. In: WWW 2012 Companion, Lyon, France, April 16-20. ACM (2012) 978-1-4503-1230-1/12/04Google Scholar
  18. 18.
    Dimoulas, C., Avdelidis, A., Kalliris, G., Papanikolaou, G.: Joint Wavelet video denoising and motion activity detection in multi-modal human activity analysis: Application to video – Assisted bioacoustic/psycho-physiological monitoring. EURASIP Journal on Advances in Signal Processing (2008), doi:10.1155/2008/792028Google Scholar
  19. 19.
    Dimoulas, C., Papanikolaou, G., Petridis, V.: Pattern classification and audiovisual content management techniques using hybrid expert systems: a video-assisted bioacoustics application in abdominal sounds pattern analysis. Expert Systems with Application 38(10), 13082–13093 (2011)CrossRefGoogle Scholar
  20. 20.
    Kotsakis, R., Kalliris, G., Dimoulas, C.: Investigation of broadcast-audio semantic analysis scenarios employing radio-programme-adaptive pattern classification. Speech Communication 54(6), 743–762 (2012)CrossRefGoogle Scholar
  21. 21.
    Chen, T.M., Wang, V.: Web filtering and censoring. Computer 43(3), 94–97 (2010)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Andreas Veglis
    • 1
  1. 1.Media Informatics Lab – School of Journalism & MCAristotle University of ThessalonikiThessalonikiGreece

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