dhr. dr. B. (Bernhard) Rieder

  • Faculteit der Geesteswetenschappen
    Capaciteitsgroep Media & Cultuur
  • Bezoekadres
    BG 1
    Turfdraagsterpad 9  Amsterdam
  • Postadres:
    Turfdraagsterpad  9
    1012 XT  Amsterdam
  • B.Rieder@uva.nl
    T: 0205252980
    T: 0205253351


Bernhard Rieder is Associate Professor of New Media and Digital Culture at the University of Amsterdam and a collaborator with the Digital Methods Initiative. His research focuses on the history, theory, and politics of software and in particular on the role algorithms play in social processes and in the production of knowledge and culture. This includes work on the analysis, development, and application of computational research methods as well as investigation into the political and economic challenges posed by large online platform.

He has been a visiting fellow at Utrecht University's Centre for the Humanities and Descartes Centre and he participated in the EMAPS project, an EU-funded study of the applications of electronic mapping led by Prof. Bruno Latour.

After studying Communication, History, and Philosophy at Vienna University, he obtained a PhD in Information and Communication Sciences from Paris 8 University (2006), where he was subsequently appointed Assistant Professor at the Département Hypermédia, co-directing the "Création et Edition Numériques" Master's program. He worked as a software developer with the Austria Press Agency and other companies for several years and has since contributed to numerous software projects, mainly in the areas of digital research methodology, data visualization, and geolocalization. He writes and maintains Netvizz, a data extraction application for Facebook, and, together with Erik Borra, released the DMI Twitter Capture and Analysis Toolset as open source in 2014. A full list of research software is available here.

He currently works on a long-term investigation into the historical and conceptual foundations of information processing techniques that mine, sort, filter, and connect information on the web.

Office hours (2016-17)

Friday 10:00-12:00

Mediastudies building (BG1)

room 2.19

please make a reservation here



  • Rieder, B. (2017). Scrutinizing an algorithmic technique: the Bayes classifier as interested reading of reality. Information, Communication & Society, 20(1), 100-117. DOI: 10.1080/1369118X.2016.1181195  [details] 



  • 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). DOI: 10.1177/2053951715614980  [details] 
  • 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). [details] 
  • 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. [details] 


  • Borra, E., & Rieder, B. (2014). Programmed Method: Developing a Toolset for Capturing and Analyzing Tweets. Aslib Journal of Information Management, 66(3), 262-278. DOI: 10.1108/AJIM-09-2013-0094  [details] 
  • 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. DOI: 10.1177/1461444813481195  [details] 


  • Gerlitz, C., & Rieder, B. (2013). Mining one percent of Twitter: collections, baselines, sampling. M/C Journal, 16(2), 620. [620]. [details] 
  • Rieder, B. (2013). 81.498 words: the book as data object. In J. Kircz, & A. van der Weel (Eds.), The unbound book (pp. 57-70). Amsterdam: Amsterdam University Press. [details] 
  • Rieder, B. (2013). Studying Facebook via data extraction: the Netvizz application. In Proceedings of the 5th Annual ACM Web Science Conference (pp. 346-355). New York: ACM. DOI: 10.1145/2464464.2464475  [details] 
  • Smyrnaios, N., & Rieder, B. (2013). Social infomediation of news on Twitter: a French case study. NECSUS, 2(2), 359-382. DOI: 10.5117/NECSUS2013.2.SMYR  [details] 


  • Rieder, B. (2012). Institutionalizing without institutions? Web 2.0 and the conundrum of democracy. In F. Massit-Folléa, C. Méadel, & L. Monnoyer-Smith (Eds.), Normative experience in internet politics (pp. 157-186). (Collection Sciences sociales). Paris: Transvalor-Presses des Mines. [details] 
  • Rieder, B. (2012). The refraction chamber: Twitter as sphere and network. First Monday, 17(11). DOI: 10.5210/fm.v17i11.4199  [details] 
  • Rieder, B. (2012). What is in PageRank? A Historical and Conceptual Investigation of a Recursive Status Index. Computational Culture, (2). DOI: http://computationalculture.net/article/what_is_in_pagerank  [details] 
  • Rieder, B. (2012). Zentralität und Sichtbarkeit: Mathematik als Hierarchisierungsinstrument am Beispiel der frühen Bibliometrie. In T. Brandstetter, T. Hübel, & A. Tantner (Eds.), Vor Google: eine Mediengeschichte der Suchmaschine im analogen Zeitalter (pp. 223-252). (Kultur- und Medientheorie). Bielefeld: Transcript. [details] 
  • Rieder, B., & Röhle, T. (2012). Digital methods: five challenges. In D. M. Berry (Ed.), Understanding digital humanities (pp. 67-84). Houndmills: Palgrave Macmillan. [details] 
  • Rieder, B., & Smyrnaios, N. (2012). Pluralisme et infomédiation sociale de l’actualité: le cas de Twitter. Reseaux, The French Journal of Communication, 2012(6 (176)), 105-139. DOI: 10.3917/res.176.0105  [details] 


  • Rieder, B. (2011). Démocratiser la recherche en ligne? De la critique à une conception orientée société. In L. Grivel (Ed.), La recherche d'information en contexte: outils et usages applicatifs (pp. 253-276). (Traité des sciences et techniques de l'information : Série Environnements et services numériques). Paris: Lavoisier. [details] 


  • Rieder, B., & Röhle, T. (in preparation). Digital Methods. From Challenges to Bildung. In M. T. Schäfer, & K. van Es (Eds.), The Datafied Society: Studying Culture through Data. (pp. 109-124). Amsterdam University Press.


  • 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). Bielefeld: Transcript. [details] 


  • Rieder, B. (2013). Le livre dans la base de données : une interrogation à propos de Google Books. In B. Dufrene, M. Ihadjadene, & D. Bruckmann (Eds.), Numérisation du patrimoine: quels accès? quelles médiations? quelles cultures? (pp. 63-77). (Cultures numériques). Paris: Éditions Hermann. [details] 


  • Rieder, B. (2014). [Review of: L. Manovich (2013) Software takes command: extending the language of new media]. Information, Communication & Society, 17(9), 1164-1167. DOI: 10.1080/1369118X.2014.913650  [details] 
This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library  or the Pure staff  of your faculty / institute. Log in to Pure  to edit your publications.
  • Universite Paris VIII
    Assistant Professor

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