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Results: 51
Number of items: 51
  • Open Access
    Niederer, S. M. C. (2016). Networked Content Analysis: The case of climate change. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Open Access
    Kerssens, N. (2016). Cultures of Use 1970s/1980s: An archaeology of computing's integration with every life. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Sire, G., & Rieder, B. (2015). Dans les ramures de l’arbre hypertexte: Analyse des incitations générées par l’opacité du moteur Google. French Journal for Media Research, 3. http://frenchjournalformediaresearch.com/lodel/index.php?id=468
  • Open Access
    Woltering, R., Abdulla, R., Poell, T., Rieder, B., & Zack, L. (2015). A Page and Its Politics: Situating Kullinā Khālid Saʿīd in Egypt’s Ideological Landscape at the Time of Revolution. Cyber Orient, 9(2). http://www.cyberorient.net/article.do?articleId=9694
  • Open Access
    Rieder, B., Abdulla, R., Poell, T., Woltering, R., & Zack, L. (2015). Data critique and analytical opportunities for very large Facebook Pages: Lessons learned from exploring "We are all Khaled Said". Big Data & Society, 2(2). https://doi.org/10.1177/2053951715614980
  • Borra, E., & Rieder, B. (2014). Programmed Method: Developing a Toolset for Capturing and Analyzing Tweets. Aslib Journal of Information Management, 66(3), 262-278. https://doi.org/10.1108/AJIM-09-2013-0094
  • Rieder, B. (2014). [Review of: L. Manovich (2013) Software takes command: extending the language of new media]. Information, Communication & Society, 17(9), 1164-1167. https://doi.org/10.1080/1369118X.2014.913650
  • Gerlitz, C., & Rieder, B. (2014). Data-Mining von einem Prozent Twitter - Sammlungen, Basislinien, Stichproben. In R. Reichert (Ed.), Big Data: Analysen zum digitalen Wandel von Wissen, Mach und Ökonomie (pp. 203-220). (Digitale Gesellschaft; No. 1). Transcript.
  • Rieder, B., & Sire, G. (2014). Conflicts of Interest and Incentives to Bias: A Microeconomic Critique of Google’s Tangled Position on the Web. New Media & Society, 16(2), 195-211. https://doi.org/10.1177/1461444813481195
  • Rieder, B. (2013). Studying Facebook via data extraction: the Netvizz application. In Proceedings of the 5th Annual ACM Web Science Conference, 2013: Paris, France : WebSci '13 (pp. 346-355). Association for Computing Machinery. https://doi.org/10.1145/2464464.2464475
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