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MA Seminar for computer scientists in the WiSe 2020/21 (2SWS), taking place weekly on Thursday 4 - 6 pm
Dr. Simon David Hirsbrunner simon.hirsbrunner[at]fu-berlin.de
Digital consultation hours: Mon 11-12h (email beforehand to receive WebEx link)
Michael Tebbe, MSc michael.tebbe[at]fu-berlin.de
Digital consultation hours: Mon 11-12h (email beforehand to receive WebEx link)
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People are gathering in social media platforms in order to connect, represent, debate and purchase. Accordingly, data sourced from these platforms can and is widely used to create knowledge on contemporary social interaction, practice and culture. In this seminar, students are introduced to critical approaches to social media analysis using and experimenting with various methods emanating from qualitative social sciences and data sciences.
The thematic focus of analysis lies on the characterization and evaluation of controversy in online debates concerning the issue of climate change with a focus on post-video discussions on YouTube.
While students will experiment with various tools for data extraction, visualization and analysis, the main objective of the seminar is to enable a critical evaluation of methods and their contribution to knowledge creation concerning digitally-mediated social interaction. This includes the entanglement of approaches such as Grounded Theory (qualitative coding), digital ethnography and machine learning. In particular, data science methods promise new investigative opportunities and a scalability to larger datasets, which are common in the analysis of social media data. Students will learn how to make data science methods productive, while at the same time grounding their investigation in empirically-observable social practice by use of qualitative methods. To do so, students will be introduced to human-centered research approaches pushed forward by the HCC Research Group at FU.
Lecture slides
Literature
Agre, Philip. „Toward a critical technical practice: Lessons learned in trying to reform AI“. Social Science, Technical Systems and Cooperative Work: Beyond the Great Divide. Erlbaum, 1997.
Lecture slides
Literature
Primary
Marres, Noortje, und David Moats. „Mapping Controversies with Social Media: The Case for Symmetry“. Social Media + Society 1, Nr. 2 (1. Juli 2015): 2056305115604176. https://doi.org/10.1177/2056305115604176.
Lecture slides
Literature
Primary
Association of Internet Researchers. „Internet Research: Ethical Guidelines 3.0“, 6. Oktober 2019. https://aoir.org/reports/ethics3.pdf
Pfeffer, Jürgen, Katja Mayer, und Fred Morstatter. „Tampering with Twitter’s Sample API“. EPJ Data Science 7, Nr. 1 (Dezember 2018): 1–21. https://doi.org/10.1140/epjds/s13688-018-0178-0.
Additional
Bounegru, Liliana, Jonathan Gray, Tommaso Venturini, und Michele Mauri. „A Field Guide to ‚Fake News‘ and Other Information Disorders“. SSRN Electronic Journal, 2018. https://doi.org/10.2139/ssrn.3097666.
Rogers, Richard. „Digital Methods for Web Research“. In Emerging Trends in the Social and Behavioral Sciences: An Interdisciplinary, Searchable, and Linkable Resource, herausgegeben von Robert A Scott, und Stephen M Kosslyn, 2015.
Software
https://tools.digitalmethods.net/netvizz/youtube
https://wiki.digitalmethods.net/Dmi/ToolDatabase
https://medialab.sciencespo.fr/en/tools
https://gephi.org
Lecture slides
Literature
Cer, Daniel Matthew, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, C. Tar, Yun-Hsuan Sung, B. Strope and R. Kurzweil. “Universal Sentence Encoder.” ArXiv abs/1803.11175 (2018): n. pag.
Amini, Hessam & Farahnak, Farhood & Kosseim, Leila. (2019). Natural Language Processing: An Overview. 10.1142/9789811203527_0003.
Belinkov, Yonatan & Durrani, Nadir & Dalvi, Fahim & Sajjad, Hassan & Glass, James. (2020). On the Linguistic Representational Power of Neural Machine Translation Models. Computational Linguistics. 46. 1-57. 10.1162/COLI_a_00367.
Literature
Xu, D., Tian, Y. A Comprehensive Survey of Clustering Algorithms. Ann. Data. Sci. 2, 165–193 (2015). https://doi.org/10.1007/s40745-015-0040-1
Saxena, Amit & Prasad, Mukesh & Gupta, Akshansh & Bharill, Neha & Patel, op & Tiwari, Aruna & Er, Meng & Ding, Weiping & Lin, Chin-Teng. (2017). A Review of Clustering Techniques and Developments. Neurocomputing. 267. 10.1016/j.neucom.2017.06.053.
Sorzano, Carlos & Vargas, Javier & Montano, A.. (2014). A survey of dimensionality reduction techniques.
Molnar, Christoph. "Interpretable machine learning. A Guide for Making Black Box Models Explainable", 2019. https://christophm.github.io/interpretable-ml-book/.
Lecture slides
Literature
Primary
Baumer, Eric P. S., David Mimno, Shion Guha, Emily Quan, und Geri K. Gay. „Comparing Grounded Theory and Topic Modeling: Extreme Divergence or Unlikely Convergence?“ Journal of the Association for Information Science and Technology 68, Nr. 6 (Juni 2017): 1397–1410. https://cpb-us-e1.wpmucdn.com/blogs.cornell.edu/dist/c/3483/files/2017/02/Muller2016-Machine-2bp3h65.pdf
Additional
Baumer, Eric P. S., Drew Siedel, Lena McDonnell, Jiayun Zhong, Patricia Sittikul, und Micki McGee. „Topicalizer: reframing core concepts in machine learning visualization by co-designing for interpretivist scholarship“. Human–Computer Interaction 35, Nr. 5–6 (1. November 2020): 452–80. https://doi.org/10.1080/07370024.2020.1734460.
Charmaz, Kathy. Constructing Grounded Theory: A Practical Guide through Qualitative Analysis. London; Thousand Oaks, Calif.: Sage Publications, 2006.
Jones, Rodney H., Alice Chik, und Christoph A. Hafner, Hrsg. Discourse and Digital Practices: Doing Discourse Analysis in the Digital Age. London ; New York: Routledge, Taylor & Francis Group, 2015.
Pentzold, Christian, and Manuel Menke. „Conceptualizing the Doings and Sayings of Media Practices: Expressive Performance, Communicative Understanding, and Epistemic Discourse“, 2020, 21.
Lecture slides
Literature
Primary
Uldam, Julie, and Tina Askanius. „Online Civic Cultures: Debating Climate Change Activism on YouTube“. International Journal of Communication 7 (2013): 1185–1204.
Additional
Tereick, Jana. „Die ‚Klimalüge ‘auf YouTube. Eine korpusgestützte Diskursanalyse der Aushandlung subversiver Positionen in der partizipatorischen Kultur“. Online-Diskurse. Theorien und Methoden transmedialer Online-Diskursforschung, 2013, 226–257.
Shapiro, Matthew A., und Han Woo Park. „Climate Change and YouTube: Deliberation Potential in Post-video Discussions“. Environmental Communication 12, Nr. 1 (2. Januar 2018): 115–31. https://doi.org/10.1080/17524032.2017.1289108.
21.1.21 Uncertain knowledge: debates about science-related information in the unedited public sphere of online platforms.
Lecture slides
Literature
(PDFs available on Whiteboard)
Primary
Hirsbrunner, Simon David. "Negotiating the Data Deluge on YouTube: practices of knowledge appropriation and articulated ambiguity around visual scenarios of sea-level rise futures". Front. Commun. (2021, in press). doi: 10.3389/fcomm.2021.613167
Additional
Bimber, Bruce, und Homero Gil de Zúñiga. „The Unedited Public Sphere“. New Media & Society 22, Nr. 4 (1. April 2020): 700–715. https://doi.org/10.1177/1461444819893980.
Sundar, S Shyam. „The MAIN Model: A Heuristic Approach to Understanding Technology Effects on Credibility“. Digital Media, 2008, 28.
Literature
Allgaier, Joachim (2019). „Science and Environmental Communication on YouTube: Strategically Distorted Communications in Online Videos on Climate Change and Climate Engineering“. Frontiers in Communication 4. https://doi.org/10.3389/fcomm.2019.00036.
Phadke, Shruti, Mattia Samory, und Tanushree Mitra. „What Makes People Join Conspiracy Communities?: Role of Social Factors in Conspiracy Engagement“, 9. September 2020. https://arxiv.org/abs/2009.04527v2.
Rogers, Richard, und Sabine Niederer, eds. The Politics of Social Media Manipulation. Amsterdam University Press, 2020.
Schäfer, S. and S. Low (2018). The Discursive Politics of Expertise: What Matters for Geoengineering Research and Governance? In Trentmann, F., A.-B. Sum and M. Rivera (eds.) Work in Progress: Environment and Economy in the Hands of Experts, Munich: Oekom, pp. 291-312.
Tingley, Dustin, und Gernot Wagner. „Solar Geoengineering and the Chemtrails Conspiracy on Social Media“. Palgrave Communications 3, Nr. 1 (31. Oktober 2017): 1–7. https://doi.org/10.1057/s41599-017-0014-3.
Literature
Tommi Gröndahl, Luca Pajola, Mika Juuti, Mauro Conti, and N. Asokan. 2018. All You Need is "Love": Evading Hate Speech Detection. In Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security (AISec '18). Association for Computing Machinery, New York, NY, USA, 2–12. DOI:https://doi.org/10.1145/3270101.3270103
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The seminar will take place digitally per _WebEx Meetings_, which you can download here: https://www.webex.com/downloads.html/Participants agree and act according to the following Code of Conduct: https://www.fu-berlin.de/en/universitaet/profil/studium_lehre/code-of-conduct
Asynchronous learning (between sessions) will be organized in the issues section of this Github Repository.
