Streams of the Deep Web

Investigating the links between The Rebel, Canadian news media, and the alt-right.

Team Members

Elena Aversa, Anthony Burton, Alessandra Facchin, Henri Mütschele, Shenglang Qing, Myrthe Reuver, Ivana Emily Škoro

Contents

Summary of Key Findings

Briefly describe your most significant findings.

1. Introduction

Introduce the subject matter, and why it is compelling / significant.

2. Initial Data Sets

List and describe your data sets.

3. Research Questions

Clearly state your research questions and any hypotheses / expectations.

4. Methodology

Explain your methodology / approach.

5. Findings

If the models are not loading, you can find both at this link. All code can be found at the project's GitHub repository.

6. Discussion

Discuss and interpret the implications of your findings and make recommendations for future research and application, be it societal, academic or technical (or some combination).

7. Conclusions

Present a summary of what you have found, and its significance.

8. References

Bounegru, Liliana, Wendy Chun, Ioana Jucan, Alexandra Juhasz, Ganaele Langlois, and Esther Weltevrede. 2019. ‘Research Persona as Digital Method’. Digital Methods Initiative. https://wiki.digitalmethods.net/Dmi/SummerSchool2019ResearchPersonaAsDigitalMethod.

Daniels, Jessie. 2018. ‘The Algorithmic Rise of the “Alt-Right”’. Contexts 17 (1): 60–65. https://doi.org/10/gfgq5c.

Lewis, Rebecca. 2018. ‘Alternative Influence: Broadcasting the Reactionary Right on YouTube ’. New York: Data & Society Research Institution. https://datasociety.net/output/alternative-influence/.

Phillips, Whitney. 2018. ‘The Oxygen of Amplification’. New York: Data & Society Research Institution. https://datasociety.net/output/oxygen-of-amplification/.
Topic revision: r3 - 16 Jul 2019, AnthonyBurton
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